From 5e3666ce90f6a0dc8ff72ab55f46f9cbe05915f1 Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Tue, 24 Jun 2025 13:22:11 +0100
Subject: [PATCH 01/11] Updates for eQTL sumstats

---
 Scripts/ldsc/ldsc.R             | 150 ++++++++++++++++++++++++++++++
 Scripts/pgs_methods/dbslmm.R    | 102 ++++++---------------
 Scripts/pgs_methods/ldpred2.R   |  33 ++++---
 Scripts/pgs_methods/megaprs.R   |  37 ++++++--
 Scripts/pgs_methods/sbayesr.R   |  24 +++++
 functions/pgs.R                 |  71 ++++++++++-----
 pipeline/config.yaml            |   3 +
 pipeline/rules/dependencies.smk |  33 +++----
 pipeline/rules/pgs_methods.smk  | 157 +++++++++++++++++++++++++-------
 9 files changed, 441 insertions(+), 169 deletions(-)
 create mode 100644 Scripts/ldsc/ldsc.R

diff --git a/Scripts/ldsc/ldsc.R b/Scripts/ldsc/ldsc.R
new file mode 100644
index 00000000..236d6cd6
--- /dev/null
+++ b/Scripts/ldsc/ldsc.R
@@ -0,0 +1,150 @@
+#!/usr/bin/Rscript
+# This script was written by Oliver Pain whilst at King's College London University.
+start.time <- Sys.time()
+library("optparse")
+
+option_list = list(
+make_option("--ref_plink_chr", action="store", default=NULL, type='character',
+    help="Path to per chromosome reference PLINK files [required]"),
+make_option("--output", action="store", default=NULL, type='character',
+		help="Path for output files [required]"),
+make_option("--memory", action="store", default=5000, type='numeric',
+		help="Memory limit [optional]"),
+make_option("--sumstats", action="store", default=NULL, type='character',
+    help="GWAS summary statistics [optional]"),
+make_option("--ldsc", action="store", default=NULL, type='character',
+    help="Path to LD-score regression binary [required]"),
+make_option("--munge_sumstats", action="store", default=NULL, type='character',
+    help="Path to munge_sumstats.py script [required]"),
+make_option("--ld_scores", action="store", default=NULL, type='character',
+    help="Path to genome-wide ld scores [required]"),
+make_option("--hm3_snplist", action="store", default=NULL, type='character',
+    help="Path to LDSC HapMap3 snplist [required]"),
+make_option("--hm3_no_mhc", action="store", default=F, type='logical',
+    help="Logical indicating whether MHC region should be removed for LDSC analysis [required]"),
+make_option("--pop_prev", action="store", default=NULL, type='numeric',
+    help="Population prevelance (if binary) [optional]"),
+make_option("--test", action="store", default=NA, type='character',
+    help="Specify number of SNPs to include [optional]"),
+make_option("--sample_prev", action="store", default=NULL, type='numeric',
+    help="Sampling ratio in GWAS [optional]")
+)
+
+opt = parse_args(OptionParser(option_list = option_list))
+
+# Load dependencies
+library(GenoUtils)
+library(data.table)
+source('../functions/misc.R')
+source_all('../functions')
+
+# Check required inputs
+if(is.null(opt$ref_plink_chr)){
+  stop('--ref_plink_chr must be specified.\n')
+}
+if(is.null(opt$sumstats)){
+  stop('--sumstats must be specified.\n')
+}
+if(is.null(opt$output)){
+  stop('--output must be specified.\n')
+}
+if(is.null(opt$ldsc)){
+  stop('--ldsc must be specified.\n')
+}
+if(is.null(opt$munge_sumstats)){
+  stop('--munge_sumstats must be specified.\n')
+}
+if(is.null(opt$ld_scores)){
+  stop('--ld_scores must be specified.\n')
+}
+if(is.null(opt$hm3_snplist)){
+  stop('--hm3_snplist must be specified.\n')
+}
+if(is.na(as.numeric(opt$sample_prev))){
+  opt$sample_prev<-NULL
+}
+if(is.na(as.numeric(opt$pop_prev))){
+  opt$pop_prev<-NULL
+}
+if(any(!is.null(c(opt$sample_prev, opt$pop_prev))) & any(is.null(c(opt$sample_prev, opt$pop_prev)))){
+  stop('If either sample_prev or pop_prev are specified, both must be specified.')
+}
+
+# Create output directory
+opt$output_dir <- paste0(dirname(opt$output), '/')
+system(paste0('mkdir -p ', opt$output_dir))
+
+# Create temp directory
+tmp_dir <- tempdir()
+
+# Initiate log file
+log_file <- paste0(opt$output,'.log')
+log_header(log_file = log_file, opt = opt, script = 'ldsc.R', start.time = start.time)
+
+# If testing, change CHROMS to chr value
+if(!is.na(opt$test) && opt$test == 'NA'){
+  opt$test<-NA
+}
+if(!is.na(opt$test)){
+  CHROMS <- as.numeric(gsub('chr','',opt$test))
+}
+
+#####
+# Estimate the SNP-heritability using LD-Score Regression
+#####
+
+if(opt$hm3_no_mhc & 6 %in% CHROMS){
+  # Remove MHC region from hapmap3 SNP-list
+  hm3<-fread(opt$hm3_snplist)
+
+  # Read ref pvar
+  pvar<-read_pvar(opt$ref_plink_chr, chr=6)
+
+  # Identify SNPs in MHA/HLA region
+  # Assumes BP column is GRCh37
+  mhc <- pvar[(pvar$CHR == 6 & pvar$BP > 28e6 & pvar$BP < 34e6),]
+
+  # Remove MHC SNPs from hm3 snplist
+  hm3_no_mhc<-hm3[!(hm3$SNP %in% mhc$SNP),]
+
+  write.table(hm3_no_mhc, paste0(tmp_dir,'/hm3_no_mhc.snplist'), col.names=T, row.names=F, quote=F)
+  opt$hm3_snplist<-paste0(tmp_dir,'/hm3_no_mhc.snplist')
+
+  log_add(log_file = log_file, message = 'MHC region removed for LDSC analysis.')
+
+}
+
+# Read in and write out sumstats to avoid munge error
+gwas <- read_sumstats(sumstats = opt$sumstats, chr = CHROMS, log_file = log_file, req_cols = c('CHR','SNP','BP','N','A1','A2','FREQ','BETA','SE','P'))
+fwrite(gwas, paste0(tmp_dir,'/sumstats.gz'), row.names=F, quote=F, sep=' ', na='NA')
+opt$sumstats<-paste0(tmp_dir,'/sumstats.gz')
+GWAS_CHROMS <- unique(gwas$CHR)
+
+ldsc_res <-
+  ldsc(
+    sumstats = opt$sumstats,
+    ldsc = opt$ldsc,
+    hm3_snplist = opt$hm3_snplist,
+    munge_sumstats = opt$munge_sumstats,
+    ld_scores = opt$ld_scores,
+    log_file = log_file
+  )
+
+write.table(ldsc_res$h2, paste0(opt$output,'.hsq_obs'), col.names=F, row.names = F, quote = F)
+
+# Convert the SNP-heritability to the liability scale
+if(!is.null(opt$pop_prev) && !is.null(opt$sample_prev)) {
+  ldsc_res$h2_liab <- h2l_R2(k = opt$pop_prev, r2 = ldsc_res$h2, p = opt$sample_prev)
+  ldsc_res$h2_liab_se <- h2l_R2(k = opt$pop_prev, r2 = ldsc_res$h2_se, p = opt$sample_prev)
+  log_add(log_file = log_file, message = paste0('SNP-heritability estimate on the liability scale = ', round(ldsc_res$h2_liab, 4), " (", round(ldsc_res$h2_liab_se, 4), ")."))
+  
+  write.table(ldsc_res$h2_liab, paste0(opt$output,'.hsq_liab'), col.names=F, row.names = F, quote = F)
+}
+
+end.time <- Sys.time()
+time.taken <- end.time - start.time
+sink(file = log_file, append = T)
+cat('Analysis finished at', as.character(end.time),'\n')
+cat('Analysis duration was', as.character(round(time.taken,2)), attr(time.taken, 'units'), '\n')
+sink()
+
diff --git a/Scripts/pgs_methods/dbslmm.R b/Scripts/pgs_methods/dbslmm.R
index 7943d4e7..83f1014b 100644
--- a/Scripts/pgs_methods/dbslmm.R
+++ b/Scripts/pgs_methods/dbslmm.R
@@ -26,26 +26,15 @@ make_option("--ld_blocks", action="store", default=NULL, type='character',
     help="Path to folder containing LD block information [required]"),
 make_option("--dbslmm", action="store", default=NULL, type='character',
     help="Path to DBSLMM directory [required]"),
-make_option("--ldsc", action="store", default=NULL, type='character',
-    help="Path to LD-score regression binary [required]"),
-make_option("--munge_sumstats", action="store", default=NULL, type='character',
-    help="Path to munge_sumstats.py script [required]"),
-make_option("--ld_scores", action="store", default=NULL, type='character',
-    help="Path to genome-wide ld scores [required]"),
-make_option("--hm3_snplist", action="store", default=NULL, type='character',
-    help="Path to LDSC HapMap3 snplist [required]"),
-make_option("--hm3_no_mhc", action="store", default=F, type='logical',
-    help="Logical indicating whether MHC region should be removed for LDSC analysis [required]"),
-make_option("--pop_prev", action="store", default=NULL, type='numeric',
-    help="Population prevelance (if binary) [optional]"),
 make_option("--test", action="store", default=NA, type='character',
     help="Specify number of SNPs to include [optional]"),
 make_option("--n_cores", action="store", default=1, type='numeric',
     help="Number of cores for parallel computing [optional]"),
 make_option("--h2f", action="store", default='0.8,1,1.2', type='character',
     help="Folds of SNP-based heritability [optional]"),
-make_option("--sample_prev", action="store", default=NULL, type='numeric',
-    help="Sampling ratio in GWAS [optional]")
+make_option("--h2", action="store", default=NULL, type='numeric',
+    help="SNP-based heritability [optional]")
+
 )
 
 opt = parse_args(OptionParser(option_list = option_list))
@@ -75,26 +64,8 @@ if(is.null(opt$ld_blocks)){
 if(is.null(opt$dbslmm)){
   stop('--dbslmm must be specified.\n')
 }
-if(is.null(opt$ldsc)){
-  stop('--ldsc must be specified.\n')
-}
-if(is.null(opt$munge_sumstats)){
-  stop('--munge_sumstats must be specified.\n')
-}
-if(is.null(opt$ld_scores)){
-  stop('--ld_scores must be specified.\n')
-}
-if(is.null(opt$hm3_snplist)){
-  stop('--hm3_snplist must be specified.\n')
-}
-if(is.na(as.numeric(opt$sample_prev))){
-  opt$sample_prev<-NULL
-}
-if(is.na(as.numeric(opt$pop_prev))){
-  opt$pop_prev<-NULL
-}
-if(any(!is.null(c(opt$sample_prev, opt$pop_prev))) & any(is.null(c(opt$sample_prev, opt$pop_prev)))){
-  stop('If either sample_prev or pop_prev are specified, both must be specified.')
+if(is.null(opt$h2)){
+  stop('--h2 must be specified.\n')
 }
 
 # Create output directory
@@ -119,47 +90,32 @@ if(!is.na(opt$test)){
 # Format the h2f parameter
 opt$h2f <- as.numeric(unlist(strsplit(opt$h2f, ',')))
 
-#####
-# Estimate the SNP-heritability using LD-Score Regression
-#####
-
-if(opt$hm3_no_mhc & 6 %in% CHROMS){
-  # Remove MHC region from hapmap3 SNP-list
-  hm3<-fread(opt$hm3_snplist)
-
-  # Read ref pvar
-  pvar<-read_pvar(opt$ref_plink_chr, chr=6)
-
-  # Identify SNPs in MHA/HLA region
-  # Assumes BP column is GRCh37
-  mhc <- pvar[(pvar$CHR == 6 & pvar$BP > 28e6 & pvar$BP < 34e6),]
-
-  # Remove MHC SNPs from hm3 snplist
-  hm3_no_mhc<-hm3[!(hm3$SNP %in% mhc$SNP),]
+if(file.exists(opt$h2)){
+  opt$h2<-read.table(opt$h2, header=F)$V1
+} else {
+  opt$h2<-0.05
+}
 
-  write.table(hm3_no_mhc, paste0(tmp_dir,'/hm3_no_mhc.snplist'), col.names=T, row.names=F, quote=F)
-  opt$hm3_snplist<-paste0(tmp_dir,'/hm3_no_mhc.snplist')
+if(opt$h2 > 1){
+  opt$h2 <- 1
+  log_add(log_file = log_file, message = 'SNP-h2 was set to 1.')
+}
 
-  log_add(log_file = log_file, message = 'MHC region removed for LDSC analysis.')
+if(opt$h2 < 0.05){
+  opt$h2 <- 0.05
+  log_add(log_file = log_file, message = 'SNP-h2 was set to 0.05.')
+}
 
+if(any(opt$h2*opt$h2f > 1)){
+  opt$h2 <- opt$h2*(1/max(opt$h2f*opt$h2))
+  log_add(log_file = log_file, message = paste0('SNP-h2 was set to ',opt$h2,' to avoid SNP-h2*h2f > 1.'))
 }
 
 # Read in and write out out sumstats to avoid munge error
 gwas <- read_sumstats(sumstats = opt$sumstats, chr = CHROMS, log_file = log_file, req_cols = c('CHR','SNP','BP','N','A1','A2','FREQ','BETA','SE','P'))
 fwrite(gwas, paste0(tmp_dir,'/sumstats.gz'), row.names=F, quote=F, sep=' ', na='NA')
 opt$sumstats<-paste0(tmp_dir,'/sumstats.gz')
-
-ldsc_h2 <- ldsc(sumstats = opt$sumstats, ldsc = opt$ldsc, hm3_snplist = opt$hm3_snplist, munge_sumstats = opt$munge_sumstats, ld_scores = opt$ld_scores, pop_prev = opt$pop_prev, sample_prev = opt$sample_prev, log_file = log_file)
-
-if(ldsc_h2 < 0.05){
-  ldsc_h2 <- 0.05
-  log_add(log_file = log_file, message = 'SNP-h2 was set to 0.05.')
-}
-
-if(any(ldsc_h2*opt$h2f > 1)){
-  ldsc_h2 <- ldsc_h2*(1/max(opt$h2f*ldsc_h2))
-  log_add(log_file = log_file, message = paste0('SNP-h2 was set to ',ldsc_h2,' to avoid SNP-h2*h2f > 1.'))
-}
+GWAS_CHROMS <- unique(gwas$CHR)
 
 #####
 # Create subset of ref files
@@ -167,10 +123,10 @@ if(any(ldsc_h2*opt$h2f > 1)){
 # Save in plink1 format for DBSLMM
 if(!is.null(opt$ref_keep)){
   log_add(log_file = log_file, message = 'ref_keep used to subset reference genotype data.')
-  plink_subset(pfile = opt$ref_plink_chr, make_bed = T, out = paste0(tmp_dir,'/ref_subset_chr'), extract = gwas$SNP, plink2 = opt$plink2, chr = CHROMS, keep = opt$ref_keep, memory = opt$memory)
+  plink_subset(pfile = opt$ref_plink_chr, make_bed = T, out = paste0(tmp_dir,'/ref_subset_chr'), extract = gwas$SNP, plink2 = opt$plink2, chr = GWAS_CHROMS, keep = opt$ref_keep, memory = opt$memory)
   opt$ref_plink_chr_subset<-paste0(tmp_dir,'/ref_subset_chr')
 } else {
-  plink_subset(pfile = opt$ref_plink_chr, make_bed = T, out = paste0(tmp_dir,'/ref_subset_chr'), extract = gwas$SNP, plink2 = opt$plink2, chr = CHROMS, memory = opt$memory)
+  plink_subset(pfile = opt$ref_plink_chr, make_bed = T, out = paste0(tmp_dir,'/ref_subset_chr'), extract = gwas$SNP, plink2 = opt$plink2, chr = GWAS_CHROMS, memory = opt$memory)
   opt$ref_plink_chr_subset<-paste0(tmp_dir,'/ref_subset_chr')
 }
 
@@ -185,8 +141,8 @@ nsnp<-nrow(gwas)
 gwas_N<-mean(gwas$N)
 
 # Match A1 and A2 match a reference (DBSLMM calls this allele discrepancy)
-ref_bim <- read_bim(opt$ref_plink_chr_subset, chr = CHROMS)
-gwas <- allele_match(sumstats = gwas, ref_bim = ref_bim, chr = CHROMS)
+ref_bim <- read_bim(opt$ref_plink_chr_subset, chr = GWAS_CHROMS)
+gwas <- allele_match(sumstats = gwas, ref_bim = ref_bim, chr = GWAS_CHROMS)
 
 # Convert to GEMMA format
 gwas <- gwas[order(gwas$CHR, gwas$BP),]
@@ -195,7 +151,7 @@ gwas <- gwas[, c('CHR', 'SNP', 'BP', 'N_MISS', 'N', 'A1', 'A2', 'FREQ', 'BETA',
 names(gwas)<-c('chr', 'rs', 'ps', 'n_mis', 'n_obs', 'allele1', 'allele0', 'af', 'beta', 'se', 'p_wald')
 
 # Write out formatted sumstats for each chromosome
-for(i in CHROMS){
+for(i in GWAS_CHROMS){
   fwrite(gwas[gwas$chr == i,], paste0(tmp_dir, '/summary_gemma_chr', i, '.assoc.txt'), sep='\t', col.names=F)
 }
 
@@ -214,9 +170,9 @@ score <-
     dbslmm = opt$dbslmm,
     plink = opt$plink,
     ld_blocks = opt$ld_blocks,
-    chr = CHROMS,
+    chr = GWAS_CHROMS,
     bfile = opt$ref_plink_chr_subset,
-    h2 = ldsc_h2,
+    h2 = opt$h2,
     h2f = opt$h2f,
     nsnp = nsnp,
     ncores = opt$n_cores,
diff --git a/Scripts/pgs_methods/ldpred2.R b/Scripts/pgs_methods/ldpred2.R
index e168078d..b2974402 100644
--- a/Scripts/pgs_methods/ldpred2.R
+++ b/Scripts/pgs_methods/ldpred2.R
@@ -31,7 +31,9 @@ option_list = list(
   make_option("--seed", action="store", default=1, type='numeric',
       help="Set seed to ensure reproducibility  [optional]"),
   make_option("--sumstats", action="store", default=NULL, type='character',
-      help="GWAS summary statistics [required]")
+      help="GWAS summary statistics [required]"),
+  make_option("--h2", action="store", default=NULL, type='numeric',
+              help="SNP-based heritability [optional]")
 )
 
 opt = parse_args(OptionParser(option_list = option_list))
@@ -60,6 +62,9 @@ if(is.null(opt$pop_data)){
 if(is.null(opt$output)){
   stop('--output must be specified.\n')
 }
+if(is.null(opt$h2)){
+  stop('--h2 must be specified.\n')
+}
 
 # Create output directory
 opt$output_dir <- paste0(dirname(opt$output),'/')
@@ -172,14 +177,20 @@ if(sum(is_bad) > (length(is_bad)*0.5)){
 # Estimate heritability
 #######
 
-ldsc <- with(sumstats, snp_ldsc(ld, nrow(map), chi2 = (beta / beta_se)^2, sample_size = n_eff, blocks = NULL))
-
-log_add(log_file = log_file, message = paste0('Estimated SNP-based heritability = ', ldsc[["h2"]]))
+if(file.exists(opt$h2)){
+  opt$h2<-read.table(opt$h2, header=F)$V1
+} else {
+  opt$h2<-0.05
+}
 
-if(ldsc[["h2"]] < 0.05){
-  ldsc[["h2"]] <- 0.05
+if(opt$h2 < 0.05){
+  opt$h2 <- 0.05
   log_add(log_file = log_file, message = 'SNP-based heritability was set to 0.05.')
 }
+if(opt$h2 > 1){
+  opt$h2 <- 1
+  log_add(log_file = log_file, message = 'SNP-based heritability was set to 1')
+}
 
 log_add(log_file = log_file, message = 'Creating genome-wide sparse matrix.')
 
@@ -194,7 +205,7 @@ for (chr in GWAS_CHROMS) {
 
   corr0 <- readRDS(paste0(opt$ldpred2_ref_dir, '/LD_with_blocks_chr', chr, '.rds'))[ind.chr3, ind.chr3]
 
-  if (chr == CHROMS[1]) {
+  if (chr == GWAS_CHROMS[1]) {
     corr <- as_SFBM(corr0, paste0(tmp_dir, '/LD_GW_sparse'), compact = TRUE)
   } else {
     corr$add_columns(corr0, nrow(corr))
@@ -215,7 +226,7 @@ set.seed(opt$seed)
 #####
 
 if('inf' %in% opt$model){
-  beta_inf <- snp_ldpred2_inf(corr, sumstats, ldsc[["h2"]])
+  beta_inf <- snp_ldpred2_inf(corr, sumstats, opt$h2)
 
   log_add(log_file = log_file, message = paste0('Infintesimal model complete at ',as.character(Sys.time())))
 }
@@ -227,7 +238,7 @@ if('inf' %in% opt$model){
 if('grid' %in% opt$model){
 
   # Create hyperparameter grid
-  h2_seq <- round(ldsc[["h2"]] * c(0.7, 1, 1.4), 4)
+  h2_seq <- round(opt$h2 * c(0.7, 1, 1.4), 4)
   p_seq <- signif(seq_log(1e-5, 1, length.out = 21), 2)
   params <- expand.grid(p = p_seq, h2 = h2_seq, sparse = c(FALSE, TRUE))
 
@@ -253,7 +264,7 @@ if('auto' %in% opt$model){
 
   for(coef_shrink_i in coef_shrink){
     multi_auto <- snp_ldpred2_auto(
-      corr, sumstats, h2_init = ldsc[["h2"]],
+      corr, sumstats, h2_init = opt$h2,
       vec_p_init = seq_log(1e-4, 0.2, length.out = 30), ncores = opt$n_cores,
       allow_jump_sign = FALSE, shrink_corr = coef_shrink_i)
 
@@ -356,7 +367,7 @@ if(opt$inference){
   log_add(log_file = log_file, message = 'Performing inference...')
   coef_shrink_i
   multi_auto <- snp_ldpred2_auto(
-    corr, sumstats, h2_init = ldsc[["h2"]],
+    corr, sumstats, h2_init = opt$h2,
     vec_p_init = seq_log(1e-4, 0.2, length.out = 50), ncores = opt$n_cores,
     burn_in = 500, num_iter = 500, report_step = 20,
     allow_jump_sign = FALSE, shrink_corr = coef_shrink_i)
diff --git a/Scripts/pgs_methods/megaprs.R b/Scripts/pgs_methods/megaprs.R
index 7539e6a6..a678bb8f 100644
--- a/Scripts/pgs_methods/megaprs.R
+++ b/Scripts/pgs_methods/megaprs.R
@@ -167,14 +167,41 @@ log_add(log_file = log_file, message = 'Estimating per-predictor heritabilities.
 system(paste0(opt$ldak, ' --cut-weights ', tmp_dir,'/sections --bfile ', tmp_dir, '/ref_merge --max-threads ', opt$n_cores))
 system(paste0(opt$ldak, ' --calc-weights-all ', tmp_dir,'/sections --bfile ', tmp_dir, '/ref_merge --max-threads ', opt$n_cores))
 system(paste0('mkdir ', tmp_dir, '/bld'))
-system(paste0('cp ', opt$ldak_tag, '/* ', tmp_dir, '/bld/'))
-system(paste0('mv ', tmp_dir, '/sections/weights.short ', tmp_dir,'/bld/bld65'))
+for(i in list.files(opt$ldak_tag)){
+  system(paste0('ln -s ', getwd(), '/', opt$ldak_tag, '/', i, ' ', tmp_dir, '/bld/', i))
+}
+system(paste0('ln -s ', tmp_dir, '/sections/weights.short ', tmp_dir,'/bld/bld65'))
+
+# Remove annotations that contain no variants in sumstats
+# NOTE. Ignoring missing annotations could be a suggested improvement to MegaPRS
+# Initialise
+kept <- c()
+new_index <- 1
+
+# Filter and renumber annotation files
+for (i in 1:65) {
+  print(i)
+  bld_path <- file.path(tmp_dir, "bld", paste0("bld", i))
+  bld_i <- fread(bld_path, header = FALSE)$V1
+  if (any(bld_i %in% gwas$Predictor)) {
+    new_path <- file.path(tmp_dir, "bld", paste0("bld", new_index))
+    file.rename(bld_path, new_path)
+    kept <- c(kept, new_index)
+    new_index <- new_index + 1
+  } else {
+    file.remove(bld_path)  # optional: remove unused files
+    log_add(log_file = log_file, message = paste0("Annotation file ", i, " was removed as no overlap with GWAS"))
+  }
+}
+
+# Number of valid annotations
+n_valid <- length(kept)
 
 # Calculate taggings
 if(length(GWAS_CHROMS) != 1){
-  system(paste0(opt$ldak, ' --calc-tagging ', tmp_dir, '/bld.ldak --bfile ', tmp_dir, '/ref_merge --ignore-weights YES --power -.25 --annotation-number 65 --annotation-prefix ', tmp_dir, '/bld/bld --window-cm 1 --save-matrix YES --max-threads ', opt$n_cores))
+  system(paste0(opt$ldak, ' --calc-tagging ', tmp_dir, '/bld.ldak --bfile ', tmp_dir, '/ref_merge --ignore-weights YES --power -.25 --annotation-number ', n_valid, ' --annotation-prefix ', tmp_dir, '/bld/bld --window-cm 1 --save-matrix YES --max-threads ', opt$n_cores))
 } else {
-  system(paste0(opt$ldak, ' --calc-tagging ', tmp_dir, '/bld.ldak --bfile ', tmp_dir, '/ref_merge --ignore-weights YES --power -.25 --annotation-number 65 --annotation-prefix ', tmp_dir, '/bld/bld --window-cm 1 --chr ', GWAS_CHROMS, ' --save-matrix YES --max-threads ', opt$n_cores))
+  system(paste0(opt$ldak, ' --calc-tagging ', tmp_dir, '/bld.ldak --bfile ', tmp_dir, '/ref_merge --ignore-weights YES --power -.25 --annotation-number ', n_valid, ' --annotation-prefix ', tmp_dir, '/bld/bld --window-cm 1 --chr ', GWAS_CHROMS, ' --save-matrix YES --max-threads ', opt$n_cores))
 }
 
 # Calculate Per-Predictor Heritabilities.
@@ -259,8 +286,6 @@ ref_pvar$Predictor<-paste0(ref_pvar$CHR,':',ref_pvar$BP)
 score<-merge(score, ref_pvar[,c('Predictor','SNP'), with=F], by='Predictor')
 score<-score[, c('SNP', 'A1', 'A2', names(score)[grepl('Model', names(score))]), with=F]
 
-print(head(score))
-
 if(opt$pseudo_only){
   score <- score[,c('SNP','A1','A2', paste0('Model', gsub('Score_','',best_score$V1[1]))), with = F]
 }
diff --git a/Scripts/pgs_methods/sbayesr.R b/Scripts/pgs_methods/sbayesr.R
index 89432e2a..5773c298 100644
--- a/Scripts/pgs_methods/sbayesr.R
+++ b/Scripts/pgs_methods/sbayesr.R
@@ -30,6 +30,10 @@ option_list = list(
       help="Force robust GCTB parameterisation [optional]"),
   make_option("--test", action="store", default=NA, type='character',
       help="Specify number of SNPs to include [optional]"),
+  make_option("--pop_prev", action="store", default=NULL, type='numeric',
+      help="Population prevelance (if binary) [optional]"),
+  make_option("--sample_prev", action="store", default=NULL, type='numeric',
+      help="Sampling ratio in GWAS [optional]"),
   make_option("--ld_matrix_chr", action="store", default=NULL, type='character',
       help="Path to per chromosome shrunk sparse LD matrix from GCTB [required]")
 )
@@ -64,6 +68,15 @@ if(is.null(opt$gctb)){
 if(is.null(opt$ld_matrix_chr)){
   stop('--ld_matrix_chr must be specified.\n')
 }
+if(is.na(as.numeric(opt$sample_prev))){
+  opt$sample_prev<-NULL
+}
+if(is.na(as.numeric(opt$pop_prev))){
+  opt$pop_prev<-NULL
+}
+if(any(!is.null(c(opt$sample_prev, opt$pop_prev))) & any(is.null(c(opt$sample_prev, opt$pop_prev)))){
+  stop('If either sample_prev or pop_prev are specified, both must be specified.')
+}
 
 # Create output directory
 opt$output_dir <- paste0(dirname(opt$output),'/')
@@ -223,6 +236,17 @@ for(par in names(parRes_mcmc[[i]])){
 write.table(parRes, paste0(opt$output_dir,'/GWAS_sumstats_SBayesR.GW.parRes'), col.names=T, row.names=F, quote=F)
 log_add(log_file = log_file, message = paste0('SNP-heritability estimate is ',parRes[parRes$Par == 'hsq', names(parRes) == 'Mean']," (SD=",parRes[parRes$Par == 'hsq', names(parRes) == 'SD'],")."))
 
+write.table(parRes[parRes$Par == 'hsq', names(parRes) == 'Mean'], paste0(opt$output,'.hsq_obs'), col.names=F, row.names = F, quote = F)
+
+# Convert the SNP-heritability to the liability scale
+if(!is.null(opt$pop_prev) && !is.null(opt$sample_prev)) {
+  h2_liab <- h2l_R2(k = opt$pop_prev, r2 = parRes[parRes$Par == 'hsq', names(parRes) == 'Mean'], p = opt$sample_prev)
+  h2_liab_se <- h2l_R2(k = opt$pop_prev, r2 = parRes[parRes$Par == 'hsq', names(parRes) == 'SD'], p = opt$sample_prev)
+  log_add(log_file = log_file, message = paste0('SNP-heritability estimate on the liability scale = ', round(h2_liab, 4), " (", round(h2_liab_se, 4), ")."))
+  
+  write.table(h2_liab, paste0(opt$output,'.hsq_liab'), col.names=F, row.names = F, quote = F)
+}
+
 end.time <- Sys.time()
 time.taken <- end.time - start.time
 sink(file = log_file, append = T)
diff --git a/functions/pgs.R b/functions/pgs.R
index ac45a2dd..bbcaae77 100644
--- a/functions/pgs.R
+++ b/functions/pgs.R
@@ -98,7 +98,18 @@ list_score_files <- function(config){
   combos <- data.table(combos)
   combos <- combos[, lapply(.SD, as.character)]
   
-  return(combos)
+  # Remove score files where .score.gz does not exist
+  combos_keep <- NULL
+  for(i in 1:nrow(combos)){
+    score_i <- paste0(outdir, '/reference/pgs_score_files/', combos$method[i],'/', combos$name[i],'/ref-',combos$name[i], '.score.gz')
+    if(file.exists(score_i)){
+      combos_keep <- rbind(combos_keep, combos[i,])
+    } else {
+      cat0('No score file present for ', combos$method[i],' - ', combos$name[i],'. Check logs for reason.\n')
+    }
+  }
+  
+  return(combos_keep)
 }
 
 # Flip effects in score file to match A1 reference
@@ -314,7 +325,7 @@ read_sumstats<-function(sumstats, chr = 1:22, log_file = NULL, extract = NULL, r
 }
 
 # Run LDSC
-ldsc <- function(sumstats, ldsc, hm3_snplist, munge_sumstats, ld_scores, pop_prev = NULL, sample_prev = NULL, log_file = NULL){
+ldsc <- function(sumstats, ldsc, hm3_snplist, munge_sumstats, ld_scores, log_file = NULL){
   tmp_dir<-tempdir()
 
   # Munge the sumstats
@@ -324,31 +335,43 @@ ldsc <- function(sumstats, ldsc, hm3_snplist, munge_sumstats, ld_scores, pop_pre
   sumstats_path <- file.path(tmp_dir,'/munged.sumstats.gz')
   output_path <- file.path(tmp_dir, '/ldsc')
 
-  # Run the appropriate LDSC command based on the availability of prevalence data
-  if(!is.null(pop_prev) && !is.null(sample_prev)) {
-    system(paste0(ldsc, ' --h2 ', sumstats_path, ' --ref-ld ', ld_scores, ' --w-ld ', ld_scores, ' --out ', output_path, ' --samp-prev ', sample_prev, ' --pop-prev ', pop_prev))
-    scale_type <- "Liability"
-  } else {
-    system(paste0(ldsc, ' --h2 ', sumstats_path, ' --ref-ld ', ld_scores, ' --w-ld ', ld_scores, ' --out ', output_path))
-    scale_type <- "Observed"
-  }
+  # Run LDSC
+  system(paste0(ldsc, ' --h2 ', sumstats_path, ' --ref-ld ', ld_scores, ' --w-ld ', ld_scores, ' --out ', output_path))
 
-  # Read the log file and extract heritability
+  # Read the log file
   ldsc_log <- readLines(paste0(tmp_dir, '/ldsc.log'))
-  pattern <- paste0('Total ', scale_type, ' scale h2: ')
-  ldsc_h2 <- gsub(pattern, '', ldsc_log[grepl(pattern, ldsc_log)])
-
+  
+  # Extract Total Observed h² and SE
+  h2_line <- grep("^Total Observed scale h2:", ldsc_log, value = TRUE)
+  h2_parts <- regmatches(h2_line, regexec("h2:\\s+([0-9.]+)\\s+\\(([0-9.]+)\\)", h2_line))[[1]]
+  h2 <- as.numeric(h2_parts[2])
+  h2_se <- as.numeric(h2_parts[3])
+  
+  # Extract lambda GC
+  lambda_line <- grep("^Lambda GC:", ldsc_log, value = TRUE)
+  lambda_gc <- as.numeric(sub("Lambda GC:\\s+", "", lambda_line))
+  
+  # Extract intercept and its SE
+  intercept_line <- grep("^Intercept:", ldsc_log, value = TRUE)
+  intercept_parts <- regmatches(intercept_line, regexec("Intercept:\\s+([0-9.]+)\\s+\\(([0-9.]+)\\)", intercept_line))[[1]]
+  intercept <- as.numeric(intercept_parts[2])
+  intercept_se <- as.numeric(intercept_parts[3])
+  
+  # Return as a data frame
+  results <- data.frame(
+    h2 = h2,
+    h2_se = h2_se,
+    lambda_gc = lambda_gc,
+    intercept = intercept,
+    intercept_se = intercept_se
+  )
+  
   # Log the heritability estimate
-  log_add(log_file = log_file, message = paste0('SNP-heritability estimate on the ', tolower(scale_type), ' scale = ', ldsc_h2, '.'))
-
-  # Process and return the heritability estimate
-  ldsc_h2 <- as.numeric(sub(' .*', '', ldsc_h2))
-  if(!is.na(ldsc_h2) && ldsc_h2 > 1){
-    ldsc_h2 <- 1
-    log_add(log_file = log_file, message = paste0('Setting SNP-heritability estimate to 1.'))
-  }
-
-  return(ldsc_h2)
+  log_add(log_file = log_file, message = paste0('SNP-heritability estimate on the observed scale = ', results$h2, " (", results$h2_se, ")."))
+  log_add(log_file = log_file, message = paste0('LDSC intercept = ', results$intercept, " (", results$intercept_se, ")."))
+  log_add(log_file = log_file, message = paste0('Lambda GC = ', results$lambda_gc, "."))
+  
+  return(results)
 }
 
 # Match A1 and A2 match a reference
diff --git a/pipeline/config.yaml b/pipeline/config.yaml
index df434240..75ce3fc1 100644
--- a/pipeline/config.yaml
+++ b/pipeline/config.yaml
@@ -96,3 +96,6 @@ pgs_scaling: ['continuous']
 
 # Specify target populations for polygenic scoring (these should match reference population codes. E.g. ['EUR','EAS']).
 target_populations: NA
+
+# Method for estimating SNP-based heritability (used by LDpred2 and DBSLMM). Options 'ldsc' or 'sbayesr'
+h2_method: 'ldsc'
diff --git a/pipeline/rules/dependencies.smk b/pipeline/rules/dependencies.smk
index e5ad71a8..1020e7ac 100644
--- a/pipeline/rules/dependencies.smk
+++ b/pipeline/rules/dependencies.smk
@@ -273,7 +273,7 @@ if config['ldpred2_ldref'] == 'NA':
 else:
   ldpred2_ldref=config['ldpred2_ldref']
 
-# Check the ldpred2 ldref data is present for the required populations in the pgwas_list
+# Check the ldpred2 ldref data is present for the required populations in the gwas_list
 if 'ldpred2' in config['pgs_methods']:
   for pop in gwas_list_df['population'].unique():
     path = f"{ldpred2_ldref}/{pop}"
@@ -292,26 +292,17 @@ if 'ldpred2' in config['pgs_methods']:
 
 # Set sbayesr reference path
 if config['sbayesr_ldref'] == 'NA':
-  sbayesr_ldref=f"{resdir}/data/gctb_ref/ukbEURu_hm3_shrunk_sparse/ukbEURu_hm3_v3_50k_chr"
+  sbayesr_ldref=f"{resdir}/data/gctb_ref"
 else:
   sbayesr_ldref=config['sbayesr_ldref']
 
 # Check the sbayesr ldref data is present for the required populations in the gwas_list
 if 'sbayesr' in config['pgs_methods']:
   for pop in gwas_list_df['population'].unique():
-    path = f"{sbayesr_ldref}/{pop}"
-    # Check if map.rds file exists
-    map_file = os.path.join(path, "map.rds")
-    if not os.path.exists(map_file):
-      print(f"File not found: {map_file}")
-      raise FileNotFoundError(f"Required file not found: {map_file}. SBayesR reference data must include map.rds for all populations.")
-
-    # Check if LD_with_blocks_chr${chr}.rds files exist for chr 1 to 22
-    for chr in range(1, 23):
-      ld_file = os.path.join(path, f"LD_with_blocks_chr{chr}.rds")
-      if not os.path.exists(ld_file):
-        print(f"File not found: {ld_file}")
-        raise FileNotFoundError(f"Required file not found: {ld_file}. SBayesR reference data must include files for all chromosomes.")
+    bin_file = f"{sbayesr_ldref}/{pop}/{pop}.chr22.ldm.sparse.bin"
+    if not os.path.exists(bin_file):
+      print(f"File not found: {bin_file}")
+      raise FileNotFoundError(f"Required file not found: {bin_file}. SBayesR reference data must include all populations in gwas_list.")
 
 # Set quickprs reference path
 if (config["leopard_methods"] and config["leopard_methods"] != "NA") or "quickprs" in config["pgs_methods"]:
@@ -816,7 +807,7 @@ rule download_prscs_snp_data_1kg:
 # Download gctb reference
 rule download_gctb_ref:
   output:
-    directory(f"{resdir}/data/gctb_ref/ukbEURu_hm3_shrunk_sparse")
+    directory(f"{resdir}/data/gctb_ref/EUR")
   benchmark:
     f"{resdir}/data/benchmarks/download_gctb_ref.txt"
   log:
@@ -827,14 +818,16 @@ rule download_gctb_ref:
       mkdir -p {resdir}/data/gctb_ref; \
       wget --no-check-certificate -O {resdir}/data/gctb_ref/ukbEURu_hm3_sparse.zip https://zenodo.org/record/3350914/files/ukbEURu_hm3_sparse.zip?download=1; \
       unzip {resdir}/data/gctb_ref/ukbEURu_hm3_sparse.zip -d {resdir}/data/gctb_ref; \
+      mv {resdir}/data/gctb_ref/ukbEURu_hm3_shrunk_sparse {resdir}/data/gctb_ref/EUR
       for chr in $(seq 1 22);do \
-      mv {resdir}/data/gctb_ref/ukbEURu_hm3_shrunk_sparse/ukbEURu_hm3_chr${{chr}}_v3_50k.ldm.sparse.bin {resdir}/data/gctb_ref/ukbEURu_hm3_shrunk_sparse/ukbEURu_hm3_v3_50k_chr${{chr}}.ldm.sparse.bin; \
-      mv {resdir}/data/gctb_ref/ukbEURu_hm3_shrunk_sparse/ukbEURu_hm3_chr${{chr}}_v3_50k.ldm.sparse.info {resdir}/data/gctb_ref/ukbEURu_hm3_shrunk_sparse/ukbEURu_hm3_v3_50k_chr${{chr}}.ldm.sparse.info; \
-      mv {resdir}/data/gctb_ref/ukbEURu_hm3_shrunk_sparse/ukbEURu_hm3_chr${{chr}}_v3_50k_sparse.log {resdir}/data/gctb_ref/ukbEURu_hm3_shrunk_sparse/ukbEURu_hm3_v3_50k_sparse_chr${{chr}}.log; \
+      mv {resdir}/data/gctb_ref/EUR/ukbEURu_hm3_chr${{chr}}_v3_50k.ldm.sparse.bin {resdir}/data/gctb_ref/EUR/EUR.chr${{chr}}.ldm.sparse.bin; \
+      mv {resdir}/data/gctb_ref/EUR/ukbEURu_hm3_chr${{chr}}_v3_50k.ldm.sparse.info {resdir}/data/gctb_ref/EUR/EUR.chr${{chr}}.ldm.sparse.info; \
+      mv {resdir}/data/gctb_ref/EUR/ukbEURu_hm3_chr${{chr}}_v3_50k_sparse.log {resdir}/data/gctb_ref/EUR/EUR.chr${{chr}}.log; \
       done; \
       rm {resdir}/data/gctb_ref/ukbEURu_hm3_sparse.zip
     }} > {log} 2>&1
     """
+
 # Download GCTB
 rule download_gctb_software:
   output:
@@ -1239,7 +1232,7 @@ rule install_genoutils:
   shell:
     """
     {{
-      Rscript -e 'devtools::install_github(\"opain/GenoUtils@6334159ab5d95ce936896e6938a1031c38ed4f30\")'
+      Rscript -e 'devtools::install_github(\"opain/GenoUtils@f462267c07cf43440aaf91c53c2af3605fec1b5f\")'
     }} > {log} 2>&1
     """
 
diff --git a/pipeline/rules/pgs_methods.smk b/pipeline/rules/pgs_methods.smk
index 40c1318a..60f30c8c 100644
--- a/pipeline/rules/pgs_methods.smk
+++ b/pipeline/rules/pgs_methods.smk
@@ -70,6 +70,46 @@ if 'gwas_list' in config:
 rule sumstat_prep:
   input: expand(f"{outdir}/reference/gwas_sumstat/{{gwas}}/{{gwas}}-cleaned.gz", gwas=gwas_list_df['name'])
 
+##
+# LDSC
+##
+
+rule ldsc_i:
+  input:
+    f"{outdir}/reference/gwas_sumstat/{{gwas}}/{{gwas}}-cleaned.gz",
+    rules.download_ldscores_panukb.output,
+    rules.download_ldsc.output,
+    rules.download_hm3_snplist.output
+  output:
+    f"{outdir}/reference/ldsc/{{gwas}}/{{gwas}}.hsq_obs"
+  conda:
+    "../envs/analysis.yaml"
+  benchmark:
+    f"{outdir}/reference/benchmarks/ldsc-{{gwas}}.txt"
+  log:
+    f"{outdir}/reference/logs/ldsc-{{gwas}}.log"
+  params:
+    population= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'population'].iloc[0],
+    sampling= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'sampling'].iloc[0],
+    prevalence= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'prevalence'].iloc[0],
+    testing=config["testing"]
+  shell:
+    "Rscript ../Scripts/ldsc/ldsc.R \
+      --ref_plink_chr {refdir}/ref.chr \
+      --sumstats {outdir}/reference/gwas_sumstat/{wildcards.gwas}/{wildcards.gwas}-cleaned.gz \
+      --munge_sumstats {resdir}/software/ldsc/munge_sumstats.py \
+      --ldsc {resdir}/software/ldsc/ldsc.py \
+      --ld_scores {resdir}/data/ld_scores/UKBB.{params.population}.rsid \
+      --hm3_snplist {resdir}/data/hm3_snplist/w_hm3.snplist \
+      --hm3_no_mhc T \
+      --sample_prev {params.sampling} \
+      --pop_prev {params.prevalence} \
+      --output {outdir}/reference/ldsc/{wildcards.gwas}/{wildcards.gwas} \
+      --test {params.testing} > {log} 2>&1"
+
+rule ldsc:
+  input: expand(f"{outdir}/reference/ldsc/{{gwas}}/{{gwas}}.hsq_obs", gwas=gwas_list_df['name'])
+
 ##
 # pT+clump (sparse, nested)
 ##
@@ -108,6 +148,28 @@ rule prep_pgs_ptclump:
 # DBSLMM
 ##
 
+# Create function return SNP-h2
+def h2_file(w, gwas_list_df, outdir, config, force_observed=False):
+    gwas_name = w.gwas
+    method = config.get("h2_method", "ldsc")
+
+    # Lookup row for prevalence info
+    gwas_row = gwas_list_df.loc[gwas_list_df["name"] == gwas_name]
+
+    # Use observed if forced, or if prevalence info is missing
+    if force_observed or gwas_row["sampling"].isna().any() or gwas_row["prevalence"].isna().any():
+        scale = "obs"
+    else:
+        scale = "liab"
+    
+    # Construct path
+    if method == "ldsc":
+        return f"{outdir}/reference/ldsc/{gwas_name}/{gwas_name}.hsq_{scale}"
+    elif method == "sbayesr":
+        return f"{outdir}/reference/pgs_score_files/sbayesr/{gwas_name}/ref-{gwas_name}.hsq_{scale}"
+    else:
+        raise ValueError(f"Unknown h2_method: {method}")
+        
 # Create function to specify LD block data from EUR if the GWAS population is CSA, AMR or MID
 def set_ld_blocks_pop(population):
   if population in ['CSA', 'AMR', 'MID']:
@@ -120,10 +182,11 @@ rule prep_pgs_dbslmm_i:
   input:
     f"{outdir}/reference/gwas_sumstat/{{gwas}}/{{gwas}}-cleaned.gz",
     rules.download_plink.output,
-    rules.download_ldscores_panukb.output,
-    rules.download_ldsc.output,
-    rules.download_hm3_snplist.output,
-    rules.download_dbslmm.output,
+    lambda w: (
+        f"{outdir}/reference/ldsc/{w.gwas}/{w.gwas}.hsq_obs"
+        if config["h2_method"] == "ldsc"
+        else f"{outdir}/reference/target_checks/prep_pgs_sbayesr_i-{{gwas}}.done"
+    ),
     rules.download_ld_blocks.output,
     f"{outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.EUR.scale"
   output:
@@ -137,8 +200,7 @@ rule prep_pgs_dbslmm_i:
   params:
     population= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'population'].iloc[0],
     ld_block_pop= lambda w: set_ld_blocks_pop(gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'population'].iloc[0]),
-    sampling= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'sampling'].iloc[0],
-    prevalence= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'prevalence'].iloc[0],
+    h2 = lambda w: h2_file(w, gwas_list_df, outdir, config),
     h2f= ",".join(map(str, config["dbslmm_h2f"])),
     testing=config["testing"]
   shell:
@@ -150,13 +212,7 @@ rule prep_pgs_dbslmm_i:
       --ld_blocks {resdir}/data/ld_blocks/{params.ld_block_pop} \
       --plink {resdir}/software/plink/plink \
       --dbslmm {resdir}/software/dbslmm/software \
-      --munge_sumstats {resdir}/software/ldsc/munge_sumstats.py \
-      --ldsc {resdir}/software/ldsc/ldsc.py \
-      --ld_scores {resdir}/data/ld_scores/UKBB.{params.population}.rsid \
-      --hm3_snplist {resdir}/data/hm3_snplist/w_hm3.snplist \
-      --hm3_no_mhc T \
-      --sample_prev {params.sampling} \
-      --pop_prev {params.prevalence} \
+      --h2 {params.h2} \
       --output {outdir}/reference/pgs_score_files/dbslmm/{wildcards.gwas}/ref-{wildcards.gwas} \
       --n_cores {threads} \
       --pop_data {refdir}/ref.pop.txt \
@@ -225,12 +281,17 @@ rule prep_pgs_sbayesr_i:
   threads: config['cores_prep_pgs']
   input:
     f"{outdir}/reference/gwas_sumstat/{{gwas}}/{{gwas}}-cleaned.gz",
-    lambda w: f"{sbayesr_ldref}/" + gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'population'].iloc[0] + "/map.rds",
-    rules.download_gctb_ref.output,
+    lambda w: (
+      f"{sbayesr_ldref}/" +
+      gwas_list_df.loc[gwas_list_df['name'] == f"{w.gwas}", 'population'].iloc[0] +
+      "/" +
+      gwas_list_df.loc[gwas_list_df['name'] == f"{w.gwas}", 'population'].iloc[0] +
+      ".chr22.ldm.sparse.bin"
+    ),
     rules.download_gctb_software.output,
     f"{outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.EUR.scale"
   output:
-    f"{outdir}/reference/pgs_score_files/sbayesr/{{gwas}}/ref-{{gwas}}.score.gz"
+    touch(f"{outdir}/reference/target_checks/prep_pgs_sbayesr_i-{{gwas}}.done")
   conda:
     "../envs/analysis.yaml"
   benchmark:
@@ -238,23 +299,35 @@ rule prep_pgs_sbayesr_i:
   log:
     f"{outdir}/reference/logs/prep_pgs_sbayesr_i-{{gwas}}.log"
   params:
+    population= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'population'].iloc[0],
+    sampling= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'sampling'].iloc[0],
+    prevalence= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'prevalence'].iloc[0],
     testing=config["testing"]
   shell:
-    "Rscript ../Scripts/pgs_methods/sbayesr.R \
+    """
+    (
+      rm -r -f {outdir}/reference/pgs_score_files/sbayesr/{wildcards.gwas}; \
+      Rscript ../Scripts/pgs_methods/sbayesr.R \
       --ref_plink_chr {refdir}/ref.chr \
       --ref_pcs {outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles \
       --sumstats {outdir}/reference/gwas_sumstat/{wildcards.gwas}/{wildcards.gwas}-cleaned.gz \
       --gctb {resdir}/software/gctb/gctb_2.03beta_Linux/gctb \
-      --ld_matrix_chr {sbayesr_ldref} \
+      --ld_matrix_chr {sbayesr_ldref}/{params.population}/{params.population}.chr \
       --robust T \
+      --sample_prev {params.sampling} \
+      --pop_prev {params.prevalence} \
       --n_cores {threads} \
       --output {outdir}/reference/pgs_score_files/sbayesr/{wildcards.gwas}/ref-{wildcards.gwas} \
       --pop_data {refdir}/ref.pop.txt \
-      --test {params.testing} > {log} 2>&1"
+      --test {params.testing} > {log} 2>&1
+    ) || (
+      echo SBayesR failed for {wildcards.gwas}
+    )
+    """
 
 rule prep_pgs_sbayesr:
-  input: expand(f"{outdir}/reference/pgs_score_files/sbayesr/{{gwas}}/ref-{{gwas}}.score.gz", gwas=gwas_list_df_eur['name'])
-
+  input: expand(f"{outdir}/reference/target_checks/prep_pgs_sbayesr_i-{{gwas}}.done", gwas=gwas_list_df['name'])
+    
 ##
 # lassosum
 ##
@@ -307,6 +380,11 @@ rule prep_pgs_ldpred2_i:
   input:
     f"{outdir}/reference/gwas_sumstat/{{gwas}}/{{gwas}}-cleaned.gz",
     lambda w: f"{ldpred2_ldref}/" + gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'population'].iloc[0] + "/map.rds",
+    lambda w: (
+        f"{outdir}/reference/ldsc/{w.gwas}/{w.gwas}.hsq_obs"
+        if config["h2_method"] == "ldsc"
+        else f"{outdir}/reference/target_checks/prep_pgs_sbayesr_i-{{gwas}}.done"
+    ),
     f"{outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.EUR.scale"
   output:
     f"{outdir}/reference/pgs_score_files/ldpred2/{{gwas}}/ref-{{gwas}}.score.gz"
@@ -322,6 +400,7 @@ rule prep_pgs_ldpred2_i:
     inference=",".join(map(str, config["ldpred2_inference"])),
     sampling= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'sampling'].iloc[0],
     binary=lambda w: 'T' if not pd.isna(gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'sampling'].iloc[0]) else 'F',
+    h2 = lambda w: h2_file(w, gwas_list_df, outdir, config, force_observed = True),
     testing=config["testing"]
   shell:
     "export OPENBLAS_NUM_THREADS=1; \
@@ -333,6 +412,7 @@ rule prep_pgs_ldpred2_i:
       --n_cores {threads} \
       --output {outdir}/reference/pgs_score_files/ldpred2/{wildcards.gwas}/ref-{wildcards.gwas} \
       --pop_data {refdir}/ref.pop.txt \
+      --h2 {params.h2} \
       --model {params.model} \
       --binary {params.binary} \
       --inference {params.inference} \
@@ -499,7 +579,7 @@ rule prep_pgs_quickprs_i:
     rules.download_ldak_bld.output,
     f"{outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.EUR.scale"
   output:
-    f"{outdir}/reference/pgs_score_files/quickprs/{{gwas}}/ref-{{gwas}}.score.gz"
+    touch(f"{outdir}/reference/target_checks/prep_pgs_quickprs_i-{{gwas}}.done")
   benchmark:
     f"{outdir}/reference/benchmarks/prep_pgs_quickprs_i-{{gwas}}.txt"
   log:
@@ -510,20 +590,27 @@ rule prep_pgs_quickprs_i:
     population= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'population'].iloc[0],
     testing=config["testing"]
   shell:
-    "Rscript ../Scripts/pgs_methods/quickprs.R \
-      --ref_plink_chr {refdir}/ref.chr \
-      --ref_keep {refdir}/keep_files/{params.population}.keep \
-      --ref_pcs {outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles \
-      --sumstats {outdir}/reference/gwas_sumstat/{wildcards.gwas}/{wildcards.gwas}-cleaned.gz \
-      --ldak {resdir}/software/ldak5.2/ldak5.2.linux \
-      --quickprs_ldref {quickprs_ldref}/{params.population} \
-      --n_cores {threads} \
-      --output {outdir}/reference/pgs_score_files/quickprs/{wildcards.gwas}/ref-{wildcards.gwas} \
-      --pop_data {refdir}/ref.pop.txt \
-      --test {params.testing} > {log} 2>&1"
+    """
+    (
+    rm -r -f {outdir}/reference/pgs_score_files/quickprs/{wildcards.gwas}; \
+    Rscript ../Scripts/pgs_methods/quickprs.R \
+    --ref_plink_chr {refdir}/ref.chr \
+    --ref_keep {refdir}/keep_files/{params.population}.keep \
+    --ref_pcs {outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles \
+    --sumstats {outdir}/reference/gwas_sumstat/{wildcards.gwas}/{wildcards.gwas}-cleaned.gz \
+    --ldak {resdir}/software/ldak5.2/ldak5.2.linux \
+    --quickprs_ldref {quickprs_ldref}/{params.population} \
+    --n_cores {threads} \
+    --output {outdir}/reference/pgs_score_files/quickprs/{wildcards.gwas}/ref-{wildcards.gwas} \
+    --pop_data {refdir}/ref.pop.txt \
+    --test {params.testing} > {log} 2>&1
+    ) || (
+      echo QuickPRS failed for {wildcards.gwas}
+    )
+    """
 
 rule prep_pgs_quickprs:
-  input: expand(f"{outdir}/reference/pgs_score_files/quickprs/{{gwas}}/ref-{{gwas}}.score.gz", gwas=gwas_list_df['name'])
+  input: expand(f"{outdir}/reference/target_checks/prep_pgs_quickprs_i-{{gwas}}.done", gwas=gwas_list_df['name'])
 
 ##
 # SBayesRC
@@ -536,7 +623,7 @@ rule prep_pgs_sbayesrc_i:
   threads: config['cores_prep_pgs']
   input:
     f"{outdir}/reference/gwas_sumstat/{{gwas}}/{{gwas}}-cleaned.gz",
-    lambda w: f"{sbayesrc_ldref}/{gwas_list_df.loc[gwas_list_df['name'] == w.gwas, 'population'].iloc[0]}/ldm.info",
+    lambda w: f"{sbayesrc_ldref}/{gwas_list_df.loc[gwas_list_df['name'] == w.gwas, 'population'].iloc[0]}/block148.eigen.bin",
     rules.download_gctb252_software.output,
     rules.download_sbayesrc_annot.output,
     rules.install_genoutils_sbayesrc.output,

From 46a5facd19080daf1cae0e31205a0211d051d843 Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Wed, 25 Jun 2025 16:28:39 +0100
Subject: [PATCH 02/11] updates

---
 .../external_score_processor.R                |  37 +---
 Scripts/pgs_methods/lassosum.R                |   8 +-
 Scripts/pgs_methods/sdpr.R                    | 187 ++++++++++++++++++
 functions/constants.R                         |   6 +-
 functions/pgs.R                               |  32 +--
 functions/pipeline.R                          |  31 +--
 pipeline/rules/dependencies.smk               |  24 ++-
 pipeline/rules/pgs_methods.smk                |  52 ++++-
 8 files changed, 314 insertions(+), 63 deletions(-)
 create mode 100644 Scripts/pgs_methods/sdpr.R

diff --git a/Scripts/external_score_processor/external_score_processor.R b/Scripts/external_score_processor/external_score_processor.R
index 32c1026f..2ff30b12 100644
--- a/Scripts/external_score_processor/external_score_processor.R
+++ b/Scripts/external_score_processor/external_score_processor.R
@@ -8,8 +8,6 @@ option_list = list(
 		help="Path to per chromosome reference PLINK files [required]"),
 	make_option("--ref_pcs", action="store", default=NULL, type='character',
 	  help="Reference PCs for continuous ancestry correction [optional]"),
-	make_option("--pop_data", action="store", default=NULL, type='character',
-		help="File containing the population code and location of the keep file [required]"),
 	make_option("--plink2", action="store", default='plink2', type='character',
 		help="Path PLINKv2 software binary [optional]"),
 	make_option("--output", action="store", default=NULL, type='character',
@@ -32,9 +30,7 @@ source_all('../functions')
 if(is.null(opt$ref_plink_chr)){
   stop('--ref_plink_chr must be specified.\n')
 }
-if(is.null(opt$pop_data)){
-  stop('--pop_data must be specified.\n')
-}
+
 if(is.null(opt$output)){
   stop('--output must be specified.\n')
 }
@@ -143,7 +139,7 @@ if(chr_bp_avail){
 	}
 
 	if(!is.na(target_build)){
-		for(i in chrs){
+		for(i in unique(score$CHR)){
 			# Read reference data
 			ref_i<-readRDS(file = paste0(ref_rds,i,'.rds'))
 
@@ -174,7 +170,7 @@ if(chr_bp_avail){
 			matched<-rbind(matched, flipped)
 
 			# Retain reference SNP and REF.FREQ data
-			matched<-matched[, names(matched) %in% c('CHR','BP','A1','A2','effect_weight'), with=F]
+			matched<-matched[, names(matched) %in% c('CHR','BP','REF.SNP', 'A1','A2','effect_weight'), with=F]
 			names(matched)[names(matched) == 'REF.SNP']<-'SNP'
 
 			targ_matched<-rbind(targ_matched, matched)
@@ -242,6 +238,10 @@ if(nrow(targ_matched) < 0.75*n_snp_orig){
 	# Format as score file for GenoPred
 	####
 
+  score <- targ_matched
+  
+  print(head(targ_matched))
+  
 	score$CHR <- NULL
 	score$BP <- NULL
 	score <- score[, c('SNP','A1','A2','effect_weight'), with = F]
@@ -258,29 +258,6 @@ if(nrow(targ_matched) < 0.75*n_snp_orig){
 	}
 
 	system(paste0('gzip ',opt$output,'.score'))
-
-	####
-	# Calculate mean and sd of polygenic scores
-	####
-
-	log_add(log_file = log_file, message = 'Calculating polygenic scores in reference.')
-
-	# Calculate scores in the full reference
-	ref_pgs <- plink_score(pfile = opt$ref_plink_chr, chr = CHROMS, plink2 = opt$plink2, score = paste0(opt$output,'.score.gz'))
-
-	if(!is.null(opt$ref_pcs)){
-	  log_add(log_file = log_file, message = 'Deriving trans-ancestry PGS models...')
-	  # Derive trans-ancestry PGS models and estimate PGS residual scale
-	  model_trans_pgs(scores=ref_pgs, pcs=opt$ref_pcs, output=opt$output)
-	}
-	
-	# Calculate scale within each reference population
-	pop_data <- read_pop_data(opt$pop_data)
-
-	for(pop_i in unique(pop_data$POP)){
-  	ref_pgs_scale_i <- score_mean_sd(scores = ref_pgs, keep = pop_data[pop_data$POP == pop_i, c('FID','IID'), with=F])
-  	fwrite(ref_pgs_scale_i, paste0(opt$output, '-', pop_i, '.scale'), row.names = F, quote=F, sep=' ', na='NA')
-	}
 }
 
 end.time <- Sys.time()
diff --git a/Scripts/pgs_methods/lassosum.R b/Scripts/pgs_methods/lassosum.R
index dfcc7c51..4ede295b 100644
--- a/Scripts/pgs_methods/lassosum.R
+++ b/Scripts/pgs_methods/lassosum.R
@@ -85,11 +85,13 @@ if(!is.na(opt$test)){
 log_add(log_file = log_file, message = 'Reading in GWAS.')
 
 # Read in, check and format GWAS summary statistics
-gwas <- read_sumstats(sumstats = opt$sumstats, chr = CHROMS, log_file = log_file, req_cols = c('CHR','SNP','BP','A1','A2','BETA','P','N'))
+gwas <- read_sumstats(sumstats = opt$sumstats, chr = CHROMS, log_file = log_file, req_cols = c('CHR','SNP','BP','A1','A2','BETA','SE','N'))
 
 # Store average sample size
 gwas_N <- mean(gwas$N)
 
+GWAS_CHROMS <- unique(gwas$CHR)
+
 ###
 # Merge the per chromosome reference genetic data and subset opt$ref_keep
 ###
@@ -97,7 +99,7 @@ gwas_N <- mean(gwas$N)
 log_add(log_file = log_file, message = 'Merging per chromosome reference data.')
 
 # Save in plink1 format for lassosum
-plink_merge(pfile = opt$ref_plink_chr, chr = CHROMS, plink2 = opt$plink2, keep = opt$ref_keep, extract = gwas$SNP, make_bed =T, out = paste0(tmp_dir, '/ref_merge'))
+plink_merge(pfile = opt$ref_plink_chr, chr = GWAS_CHROMS, plink2 = opt$plink2, keep = opt$ref_keep, extract = gwas$SNP, make_bed =T, out = paste0(tmp_dir, '/ref_merge'))
 
 # Record start time for test
 if(!is.na(opt$test)){
@@ -108,7 +110,7 @@ if(!is.na(opt$test)){
 # Calculate correlation between SNP and phenotype
 #####
 
-cor <- p2cor(p = gwas$P, n = gwas_N, sign = gwas$BETA)
+cor<-z2cor(z=gwas$BETA/gwas$SE, n = gwas_N)
 
 #####
 # Perform lassosum to shrink effects using a range of parameters
diff --git a/Scripts/pgs_methods/sdpr.R b/Scripts/pgs_methods/sdpr.R
new file mode 100644
index 00000000..da2feef2
--- /dev/null
+++ b/Scripts/pgs_methods/sdpr.R
@@ -0,0 +1,187 @@
+#!/usr/bin/Rscript
+# This script was written by Oliver Pain whilst at King's College London University.
+start.time <- Sys.time()
+library("optparse")
+
+option_list = list(
+	make_option("--ref_plink_chr", action="store", default=NULL, type='character',
+			help="Path to genome-wide reference PLINK files [required]"),
+	make_option("--ref_keep", action="store", default=NULL, type='character',
+			help="Keep file to subset individuals in reference for clumping [optional]"),
+	make_option("--ref_pcs", action="store", default=NULL, type='character',
+	    help="Reference PCs for continuous ancestry correction [optional]"),
+	make_option("--gwas_pop", action="store", default=NULL, type='character',
+			help="Population of GWAS sample [required]"),
+  make_option("--pop_data", action="store", default=NULL, type='character',
+      help="File containing the population code and location of the keep file [required]"),
+	make_option("--plink2", action="store", default='plink2', type='character',
+	    help="Path PLINK v2 software binary [optional]"),
+	make_option("--output", action="store", default=NULL, type='character',
+			help="Path for output files [required]"),
+	make_option("--n_cores", action="store", default=1, type='numeric',
+      help="Number of cores to use [optional]"),
+	make_option("--pseudo_only", action="store", default=F, type='logical',
+      help="Logical indicating whether only pseudovalidated model should be output [optional]"),
+	make_option("--sdpr", action="store", default=F, type='character',
+      help="Path to SDPR binary [required]"),
+	make_option("--test", action="store", default=NA, type='character',
+	    help="Specify number of SNPs to include [optional]"),
+	make_option("--sumstats", action="store", default=NULL, type='character',
+			help="GWAS summary statistics in LDSC format [optional]")
+)
+
+opt = parse_args(OptionParser(option_list = option_list))
+
+# Load dependencies
+library(GenoUtils)
+library(data.table)
+source('../functions/misc.R')
+source_all('../functions')
+library(lassosum)
+library(parallel)
+cl <- makeCluster(opt$n_cores)
+
+# Store original working directory
+orig_wd<-getwd()
+
+# Check required inputs
+if(is.null(opt$ref_plink_chr)){
+  stop('--ref_plink_chr must be specified.\n')
+}
+if(is.null(opt$gwas_pop)){
+  stop('--gwas_pop must be specified.\n')
+}
+if(is.null(opt$sumstats)){
+  stop('--sumstats must be specified.\n')
+}
+if(is.null(opt$pop_data)){
+  stop('--pop_data must be specified.\n')
+}
+if(is.null(opt$output)){
+  stop('--output must be specified.\n')
+}
+
+# Create output directory
+opt$output_dir <- paste0(dirname(opt$output),'/')
+system(paste0('mkdir -p ',opt$output_dir))
+
+# Create temp directory
+tmp_dir<-tempdir()
+
+# Initiate log file
+log_file <- paste0(opt$output,'.log')
+log_header(log_file = log_file, opt = opt, script = 'sdpr.R', start.time = start.time)
+
+# If testing, change CHROMS to chr value
+if(!is.na(opt$test) && opt$test == 'NA'){
+  opt$test<-NA
+}
+if(!is.na(opt$test)){
+  CHROMS <- as.numeric(gsub('chr','',opt$test))
+}
+
+#####
+# Read in sumstats
+#####
+
+log_add(log_file = log_file, message = 'Reading in GWAS.')
+
+# Read in, check and format GWAS summary statistics
+gwas <- read_sumstats(sumstats = opt$sumstats, chr = CHROMS, log_file = log_file, req_cols = c('CHR','SNP','A1','A2','BETA','SE','N'))
+
+GWAS_CHROMS <- unique(gwas$CHR)
+gwas_N <- mean(gwas$N)
+
+# Format for SDPR
+gwas$Z <- gwas$BETA/gwas$SE
+gwas<-gwas[, c('SNP','A1','A2','Z'), with = F]
+fwrite(gwas, paste0(tmp_dir,'/sumstats.txt'), row.names=F, quote=F, sep=' ', na='NA')
+write.table(gwas$SNP, paste0(tmp_dir,'/sumstats.extract'), col.names=F, row.names=F, quote=F)
+
+###
+# Create LD reference data
+###
+
+log_add(log_file = log_file, message = 'Preparing reference data.')
+
+dir.create(paste0(tmp_dir, '/ref_ld'))
+dir.create(paste0(tmp_dir, '/ref_mat'))
+for(i in GWAS_CHROMS){
+  system(paste0(opt$plink2, ' --pfile ', opt$ref_plink_chr, i, ' --keep ', opt$ref_keep,' --extract ', tmp_dir, '/sumstats.extract --make-bed --out ', tmp_dir, '/ref_ld/chr', i))
+  system(paste0(opt$sdpr, ' -make_ref -ref_prefix ', tmp_dir, '/ref_ld/chr', i,' -r2 0.1 -chr ', i,' -ref_dir ', tmp_dir, '/ref_mat/'))
+}
+
+###
+# Run SDPR
+###
+
+dir.create(paste0(tmp_dir, '/result'))
+
+log_add(log_file = log_file, message = 'Running SDPR.')
+
+score <- NULL
+h2_total <- 0
+
+for (i in GWAS_CHROMS) {
+  message("Running SDPR on chr", i)
+  
+  # Run SDPR and capture output as character vector
+  sdpr_output <- system(
+    paste0(opt$sdpr,
+           ' -mcmc -ref_dir ', tmp_dir, '/ref_mat/',
+           ' -ss ', tmp_dir, '/sumstats.txt',
+           ' -N ', round(gwas_N, 0),
+           ' -chr ', i,
+           ' -out ', tmp_dir, '/result/SDPR_chr', i, '.txt'),
+    intern = TRUE
+  )
+  
+  # Extract h2 from the final line (e.g., "h2: 0.075861 max: 0.446189")
+  h2_line <- sdpr_output[grepl("^h2:", sdpr_output)]
+  if (length(h2_line) == 1) {
+    h2_val <- as.numeric(sub("h2: ([0-9.]+).*", "\\1", h2_line))
+    h2_total <- h2_total + h2_val
+  } else {
+    warning("Could not extract h2 from chromosome ", i)
+  }
+  
+  # Read the final SDPR output score file
+  score <- rbind(
+    score,
+    fread(paste0(tmp_dir, '/result/SDPR_chr', i, '.txt'))
+  )
+}
+
+log_add(log_file = log_file, message = paste0('SNP-based heritability = ', h2_total, '.'))
+
+# Insert A2 info
+ref <- read_pvar(opt$ref_plink_chr, chr = CHROMS)[, c('SNP','A1','A2'), with=F]
+score <- merge(score, ref, by = c('SNP','A1'))
+names(score)[names(score) == 'beta'] <- 'SDPR'
+score <- score[, c('SNP','A1','A2','SDPR'), with=F]
+
+# Flip effects to match reference alleles
+score <- map_score(ref = ref, score = score)
+
+# Reduce number of significant figures to save space
+score[, (4:ncol(score)) := lapply(.SD, signif, digits = 7), .SDcols = 4:ncol(score)]
+
+fwrite(score, paste0(opt$output,'.score'), col.names=T, sep=' ', quote=F)
+
+if(file.exists(paste0(opt$output,'.score.gz'))){
+  system(paste0('rm ',opt$output,'.score.gz'))
+}
+
+system(paste0('gzip ',opt$output,'.score'))
+
+# Record end time of test
+if(!is.na(opt$test)){
+  test_finish(log_file = log_file, test_start.time = test_start.time)
+}
+
+end.time <- Sys.time()
+time.taken <- end.time - start.time
+sink(file = log_file, append = T)
+cat('Analysis finished at', as.character(end.time),'\n')
+cat('Analysis duration was', as.character(round(time.taken,2)), attr(time.taken, 'units'), '\n')
+sink()
diff --git a/functions/constants.R b/functions/constants.R
index ff8899c9..fb69c99b 100644
--- a/functions/constants.R
+++ b/functions/constants.R
@@ -37,13 +37,13 @@ ref_pop <- data.frame(
 
 # Make a data.frame giving labels to the 1KG reference populations
 pgs_method_labels <- data.frame(
-  method = c('ptclump','dbslmm','ldpred2','sbayesr','sbayesrc','lassosum','lassosum2','prscs','megaprs','quickprs','external','prscsx','xwing','ptclump_multi','dbslmm_multi','ldpred2_multi','sbayesr_multi','sbayesrc_multi','lassosum_multi','prscs_multi','megaprs_multi','quickprs_multi','tlprs_dbslmm','tlprs_sbayesrc','tlprs_quickprs','tlprs_ldpred2'),
-  label = c('pT+clump','DBSLMM','LDpred2','SBayesR','SBayesRC','lassosum','lassosum2','PRS-CS','MegaPRS','QuickPRS','External','PRS-CSx','X-Wing','pT+clump-multi','DBSLMM-multi','LDpred2-multi','SBayesR-multi','SBayesRC-multi','lassosum-multi','PRS-CS-multi','MegaPRS-multi','QuickPRS-multi','TL-DBSLMM','TL-SBayesRC','TL-QuickPRS','TL-LDpred2')
+  method = c('ptclump','dbslmm','ldpred2','sbayesr','sbayesrc','lassosum','lassosum2','prscs','megaprs','quickprs','sdpr','external','prscsx','xwing','ptclump_multi','dbslmm_multi','ldpred2_multi','sbayesr_multi','sbayesrc_multi','lassosum_multi','prscs_multi','megaprs_multi','quickprs_multi','tlprs_dbslmm','tlprs_sbayesrc','tlprs_quickprs','tlprs_ldpred2','tlprs_sdpr'),
+  label = c('pT+clump','DBSLMM','LDpred2','SBayesR','SBayesRC','lassosum','lassosum2','PRS-CS','MegaPRS','QuickPRS','SDPR','External','PRS-CSx','X-Wing','pT+clump-multi','DBSLMM-multi','LDpred2-multi','SBayesR-multi','SBayesRC-multi','lassosum-multi','PRS-CS-multi','MegaPRS-multi','QuickPRS-multi','TL-DBSLMM','TL-SBayesRC','TL-QuickPRS','TL-LDpred2','TL-SDPR')
 )
 pgs_method_labels<-pgs_method_labels[order(pgs_method_labels$method),]
 
 # Make vector indicating single source pgs_methods that can be applied to non-european GWAS
-pgs_methods_noneur <- c('ptclump','lassosum','lassosum2','megaprs','prscs','dbslmm','ldpred2','quickprs','sbayesrc')
+pgs_methods_noneur <- c('ptclump','lassosum','lassosum2','megaprs','prscs','dbslmm','ldpred2','quickprs','sbayesrc','sdpr')
 
 # Make vector indicating pgs_methods that are to be applied to gwas_groups
 pgs_group_methods <- c('prscsx','xwing')
diff --git a/functions/pgs.R b/functions/pgs.R
index bbcaae77..a851bc93 100644
--- a/functions/pgs.R
+++ b/functions/pgs.R
@@ -1,16 +1,16 @@
 #!/usr/bin/Rscript
 
 # Identify score files (name and method combinations)
-list_score_files <- function(config){
+list_score_files <- function(config, quiet = F){
 
   combos<-NULL
 
   # Read in gwas_list
-  gwas_list <- read_param(config = config, param = 'gwas_list')
+  gwas_list <- read_param(config = config, param = 'gwas_list', quiet = quiet)
 
   if(!is.null(gwas_list)){
     # Identify PGS methods to be included
-    pgs_methods_list <- read_param(config = config, param = 'pgs_methods', return_obj = F)
+    pgs_methods_list <- read_param(config = config, param = 'pgs_methods', return_obj = F, quiet = quiet)
 
     # Remove methods that are applied to groups of gwas
     pgs_methods_list <- pgs_methods_list[!(pgs_methods_list %in% pgs_group_methods)]
@@ -26,9 +26,9 @@ list_score_files <- function(config){
   }
 
   # Read in score_list
-  score_list <- read_param(config = config, param = 'score_list')
+  score_list <- read_param(config = config, param = 'score_list', quiet = quiet)
 
-  outdir <- read_param(config = config, param = 'outdir', return_obj = F)
+  outdir <- read_param(config = config, param = 'outdir', return_obj = F, quiet = quiet)
 
   if(!is.null(score_list)){
     # Read in score_reporter output
@@ -45,7 +45,7 @@ list_score_files <- function(config){
   }
 
   # Read in gwas_groups
-  gwas_groups <- read_param(config = config, param = 'gwas_groups')
+  gwas_groups <- read_param(config = config, param = 'gwas_groups', quiet = quiet)
 
   # Methods implemented when GWAS groups contains only 2 GWAS
   if(!is.null(gwas_groups)){
@@ -53,7 +53,7 @@ list_score_files <- function(config){
     gwas_groups_2 <- gwas_groups[sapply(gwas_groups$gwas, function(x) sum(strsplit(x, ",")[[1]] != "") == 2), ]
     
     # Identify PGS methods to be included
-    pgs_methods_list <- read_param(config = config, param = 'pgs_methods', return_obj = F)
+    pgs_methods_list <- read_param(config = config, param = 'pgs_methods', return_obj = F, quiet = quiet)
 
     # Retain methods that are applied to groups with only 2 gwas
     pgs_methods_list <- pgs_methods_list[(pgs_methods_list %in% c('prscsx', 'xwing'))]
@@ -62,13 +62,13 @@ list_score_files <- function(config){
     combos <- rbind(combos, expand.grid(name = gwas_groups_2$name, method = pgs_methods_list))
     
     # For TL-PRS, list combos for tlprs_methods
-    tlprs_methods<-read_param(config = config, param = 'tlprs_methods', return_obj = F)
+    tlprs_methods<-read_param(config = config, param = 'tlprs_methods', return_obj = F, quiet = quiet)
     if(length(tlprs_methods) > 1 || !is.na(tlprs_methods)){
       combos <- rbind(combos, expand.grid(name = gwas_groups_2$name, method = paste0('tlprs_', tlprs_methods)))
     }
     
     # For LEOPARD, list combos for leopard_methods
-    leopard_methods<-read_param(config = config, param = 'leopard_methods', return_obj = F)
+    leopard_methods<-read_param(config = config, param = 'leopard_methods', return_obj = F, quiet = quiet)
     if(length(leopard_methods) > 1 || !is.na(leopard_methods)){
       combos <- rbind(combos, expand.grid(name = gwas_groups_2$name, method = paste0(leopard_methods,'_multi')))
     }
@@ -80,7 +80,7 @@ list_score_files <- function(config){
     gwas_groups_more <- gwas_groups[sapply(gwas_groups$gwas, function(x) sum(strsplit(x, ",")[[1]] != "") > 2), ]
     
     # Identify PGS methods to be included
-    pgs_methods_list <- read_param(config = config, param = 'pgs_methods', return_obj = F)
+    pgs_methods_list <- read_param(config = config, param = 'pgs_methods', return_obj = F, quiet = quiet)
     
     # Retain methods that are applied to groups with only 2 gwas
     pgs_methods_list <- pgs_methods_list[(pgs_methods_list %in% c('prscsx'))]
@@ -105,7 +105,9 @@ list_score_files <- function(config){
     if(file.exists(score_i)){
       combos_keep <- rbind(combos_keep, combos[i,])
     } else {
-      cat0('No score file present for ', combos$method[i],' - ', combos$name[i],'. Check logs for reason.\n')
+      if(quiet == F){
+        cat0('No score file present for ', combos$method[i],' - ', combos$name[i],'. Check logs for reason.\n')
+      }
     }
   }
   
@@ -814,3 +816,11 @@ lrt_af_dual <- function(p1, n1, p0, n0) {
   
   return(list(stat = stat, p = pval))
 }
+
+# New version of lassosum p2cor function that allows for increased precision
+z2cor<-function(z, n){
+  t <- qt(pnorm(abs(z), lower.tail = FALSE, log.p = TRUE), df = n,
+          lower.tail = FALSE, log.p = TRUE) * sign(z)
+  return(t/sqrt(n - 2 + t^2))
+}
+
diff --git a/functions/pipeline.R b/functions/pipeline.R
index ba80b5ba..85f8ea57 100644
--- a/functions/pipeline.R
+++ b/functions/pipeline.R
@@ -73,7 +73,7 @@ read_pgs <- function(config, name = NULL, pgs_methods = NULL, gwas = NULL, pop =
         }
         file_i<-paste0(outdir, '/', name_i, '/pgs/', pop_i, '/', pgs_method_i, '/',  gwas_i, '/', name_i, '-', gwas_i, '-', pop_i, '.profiles')
         if(pseudo_only){
-          pseudo_param <- find_pseudo(config = config, gwas = gwas_i, target_pop = pop_i, pgs_method = pgs_method_i)
+          pseudo_param <- find_pseudo(config = config, gwas = gwas_i, target_pop = pop_i, pgs_method = pgs_method_i, quiet = T)
 
           score_header <-
             fread(file_i, nrows = 1)
@@ -172,7 +172,7 @@ read_pgs_2 <- function(config, name = NULL, pgs_methods = NULL, gwas = NULL, pop
         }
         file_i<-paste0(outdir, '/', name_i, '/pgs/', pop_i, '/', pgs_method_i, '/',  gwas_i, '/', name_i, '-', gwas_i, '-', pop_i, part, '.profiles')
         if(pseudo_only){
-          pseudo_param <- find_pseudo(config = config, gwas = gwas_i, target_pop = pop_i, pgs_method = pgs_method_i)
+          pseudo_param <- find_pseudo(config = config, gwas = gwas_i, target_pop = pop_i, pgs_method = pgs_method_i, quiet = T)
           
           score_header <-
             fread(file_i, nrows = 1)
@@ -192,7 +192,7 @@ read_pgs_2 <- function(config, name = NULL, pgs_methods = NULL, gwas = NULL, pop
 }
 
 # Create function to read in parameters in the config file
-read_param <- function(config, param, return_obj = T){
+read_param <- function(config, param, return_obj = T, quiet = F){
   library(yaml)
 
   # Read in the config file
@@ -203,10 +203,14 @@ read_param <- function(config, param, return_obj = T){
     config_file <- read_yaml('config.yaml')
 
     if(all(names(config_file) != param)){
-      cat(param, 'parameter is not present in user specified config file or default config file.\n')
+      if(quiet == F){
+        cat(param, 'parameter is not present in user specified config file or default config file.\n')
+      }
       return(NULL)
     } else {
-      cat(param, 'parameter is not present in user specified config file, so will use value in default config file.\n')
+      if(quiet == F){
+        cat(param, 'parameter is not present in user specified config file, so will use value in default config file.\n')
+      }
     }
   }
 
@@ -224,7 +228,7 @@ read_param <- function(config, param, return_obj = T){
   # If refdir, and NA, set to '<resdir>/data/ref'
   if(param == 'refdir'){
     if(is.na(file)){
-      resdir <- read_param(config = config, param = 'resdir', return_obj = F)
+      resdir <- read_param(config = config, param = 'resdir', return_obj = F, quiet = quiet)
       file <- paste0(resdir, '/data/ref')
     }
   }
@@ -277,7 +281,7 @@ read_ancestry <- function(config, name){
 }
 
 # Return score corresponding to pseudovalidation
-find_pseudo <- function(config, gwas, pgs_method, target_pop = NULL){
+find_pseudo <- function(config, gwas, pgs_method, target_pop = NULL, quiet = F){
 
   if(length(pgs_method) > 1){
     stop('Only one pgs_method can be specified at a time')
@@ -293,10 +297,10 @@ find_pseudo <- function(config, gwas, pgs_method, target_pop = NULL){
   }
 
   # Read in gwas_list
-  gwas_list <- read_param(config = config, param = 'gwas_list')
+  gwas_list <- read_param(config = config, param = 'gwas_list', quiet = quiet)
 
   # Read in gwas_groups
-  gwas_groups <- read_param(config = config, param = 'gwas_groups')
+  gwas_groups <- read_param(config = config, param = 'gwas_groups', quiet = quiet)
 
   # If pgs_method is multi-source, subset gwas_list to gwas in relevant group
   if(grepl(paste0('^', pgs_group_methods, '$', collapse = '|'), pgs_method) | grepl('_multi$', pgs_method)){
@@ -304,7 +308,7 @@ find_pseudo <- function(config, gwas, pgs_method, target_pop = NULL){
   }
 
   # Identify score files
-  score_file_list <- list_score_files(config)
+  score_file_list <- list_score_files(config, quiet = quiet)
 
   # Subset requested gwas
   if(!is.null(gwas)){
@@ -323,7 +327,7 @@ find_pseudo <- function(config, gwas, pgs_method, target_pop = NULL){
   }
 
   # Find outdir
-  outdir <- read_param(config = config, param = 'outdir', return_obj = F)
+  outdir <- read_param(config = config, param = 'outdir', return_obj = F, quiet = quiet)
 
   # If TLPRS, find pseudo param, and then edit value for TLPRS
   tlprs <- ifelse(grepl('tlprs', pgs_method), T, F)
@@ -354,6 +358,9 @@ find_pseudo <- function(config, gwas, pgs_method, target_pop = NULL){
   # Pseudoval only methods
   if(pgs_method == 'sbayesr'){
     pseudo_val <- 'SBayesR'
+  } 
+  if(pgs_method == 'sdpr'){
+    pseudo_val <- 'SDPR'
   }
   if(pgs_method == 'sbayesrc'){
     pseudo_val <- 'SBayesRC'
@@ -483,7 +490,7 @@ read_reference_pgs <- function(config){
           outdir, '/reference/pgs_score_files/', pgs_method_i, '/',  gwas_i, '/ref-', gwas_i, '-TRANS.profiles'
         )
       )
-    pseudo_param <- find_pseudo(config = config, gwas = gwas_i, pgs_method = pgs_method_i, target_pop = 'TRANS')
+    pseudo_param <- find_pseudo(config = config, gwas = gwas_i, pgs_method = pgs_method_i, target_pop = 'TRANS', quiet =T)
     pgs[[gwas_i]][[pgs_method_i]]<-pgs[[gwas_i]][[pgs_method_i]][,c('FID','IID',paste0('SCORE_',pseudo_param)), with=F]
   }
   
diff --git a/pipeline/rules/dependencies.smk b/pipeline/rules/dependencies.smk
index 1020e7ac..90b916db 100644
--- a/pipeline/rules/dependencies.smk
+++ b/pipeline/rules/dependencies.smk
@@ -435,7 +435,7 @@ def check_pgs_methods(x):
         return
 
     valid_pgs_methods = {
-        "ptclump", "dbslmm", "prscs", "sbayesr","sbayesrc", "lassosum", "ldpred2", "lassosum2", "megaprs", "quickprs", "xwing", "prscsx", "bridgeprs"
+        "ptclump", "dbslmm", "prscs", "sbayesr","sbayesrc", "lassosum", "ldpred2", "lassosum2", "megaprs", "quickprs", "sdpr", "xwing", "prscsx", "bridgeprs"
     }
 
     invalid_methods = [method for method in x if method not in valid_pgs_methods]
@@ -449,7 +449,7 @@ check_pgs_methods(config['pgs_methods'])
 # Check valid tlprs_methods are specified
 def check_tlprs_methods(config):
     valid_tlprs_methods = {
-        "ptclump", "dbslmm", "prscs", "sbayesrc", "lassosum", "ldpred2", "lassosum2", "megaprs", "quickprs"
+        "ptclump", "dbslmm", "prscs", "sbayesrc", "lassosum", "ldpred2", "lassosum2", "sdpr", "megaprs", "quickprs"
     }
 
     # Check if 'tlprs_methods' is empty
@@ -466,7 +466,7 @@ check_tlprs_methods(config)
 # Check valid leopard_methods are specified
 def check_leopard_methods(config):
     valid_leopard_methods = {
-        "ptclump", "dbslmm", "prscs", "sbayesrc", "lassosum", "ldpred2", "lassosum2", "megaprs","quickprs"
+        "ptclump", "dbslmm", "prscs", "sbayesrc", "lassosum", "ldpred2", "lassosum2", "megaprs", "quickprs", "sdpr"
     }
 
     # Check if 'leopard_methods' is empty
@@ -1217,6 +1217,24 @@ rule install_lassosum:
     }} > {log} 2>&1
     """
 
+# install sdpr
+rule install_sdpr:
+  output:
+    touch(f"{resdir}/software/install_sdpr.done")
+  benchmark:
+    f"{resdir}/data/benchmarks/install_sdpr.txt"
+  log:
+    f"{resdir}/data/logs/install_sdpr.log"
+  shell:
+    """
+    {{
+      rm -r -f resources/software/sdpr; \
+      git clone https://github.com/eldronzhou/SDPR {resdir}/software/sdpr; \
+      cd resources/software/sdpr; \
+      git reset --hard 0bb6481802903452272ef6f0a8c5bbf4b362fe9d
+    }} > {log} 2>&1
+    """
+
 # Install GenoUtils
 rule install_genoutils:
   input:
diff --git a/pipeline/rules/pgs_methods.smk b/pipeline/rules/pgs_methods.smk
index 60f30c8c..b92c5ddc 100644
--- a/pipeline/rules/pgs_methods.smk
+++ b/pipeline/rules/pgs_methods.smk
@@ -368,6 +368,55 @@ rule prep_pgs_lassosum_i:
 rule prep_pgs_lassosum:
   input: expand(f"{outdir}/reference/pgs_score_files/lassosum/{{gwas}}/ref-{{gwas}}.score.gz", gwas=gwas_list_df['name'])
 
+##
+# SDPR
+##
+
+rule prep_pgs_sdpr_i:
+  resources:
+    mem_mb=10000
+  threads: config['cores_prep_pgs']
+  input:
+    f"{outdir}/reference/gwas_sumstat/{{gwas}}/{{gwas}}-cleaned.gz",
+    rules.install_sdpr.output,
+    f"{outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.EUR.scale"
+  output:
+    f"{outdir}/reference/pgs_score_files/sdpr/{{gwas}}/ref-{{gwas}}.score.gz"
+  benchmark:
+    f"{outdir}/reference/benchmarks/prep_pgs_sdpr_i-{{gwas}}.txt"
+  log:
+    f"{outdir}/reference/logs/prep_pgs_sdpr_i-{{gwas}}.log"
+  conda:
+    "../envs/analysis.yaml"
+  params:
+    population= lambda w: gwas_list_df.loc[gwas_list_df['name'] == "{}".format(w.gwas), 'population'].iloc[0],
+    testing=config["testing"]
+  shell:
+    """
+    export MKL_NUM_THREADS=1; \
+    export NUMEXPR_NUM_THREADS=1; \
+    export OMP_NUM_THREADS=1; \
+    export OPENBLAS_NUM_THREADS=1; \
+
+    export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:{resdir}/software/sdpr/MKL/lib; \
+    export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:{resdir}/software/sdpr/gsl/lib; \
+
+    Rscript ../Scripts/pgs_methods/sdpr.R \
+         --ref_plink_chr {refdir}/ref.chr \
+         --ref_keep {refdir}/keep_files/{params.population}.keep \
+         --gwas_pop {params.population} \
+         --ref_pcs {outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles \
+         --sumstats {outdir}/reference/gwas_sumstat/{wildcards.gwas}/{wildcards.gwas}-cleaned.gz \
+         --output {outdir}/reference/pgs_score_files/sdpr/{wildcards.gwas}/ref-{wildcards.gwas} \
+         --n_cores {threads} \
+         --pop_data {refdir}/ref.pop.txt \
+         --sdpr {resdir}/software/sdpr/SDPR \
+         --test {params.testing} > {log} 2>&1
+    """
+
+rule prep_pgs_sdpr:
+  input: expand(f"{outdir}/reference/pgs_score_files/sdpr/{{gwas}}/ref-{{gwas}}.score.gz", gwas=gwas_list_df['name'])
+
 ##
 # LDpred2
 ##
@@ -718,7 +767,6 @@ rule prep_pgs_external_i:
       --score {params.score} \
       --ref_pcs {outdir}/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles \
       --output {outdir}/reference/pgs_score_files/external/{wildcards.score}/ref-{wildcards.score} \
-      --pop_data {refdir}/ref.pop.txt \
       --test {params.testing} > {log} 2>&1"
 
 rule prep_pgs_external:
@@ -1115,6 +1163,8 @@ if 'xwing' in pgs_methods_all:
   pgs_methods_input.append(rules.prep_pgs_xwing.input)
 if 'bridgeprs' in pgs_methods_all:
   pgs_methods_input.append(rules.prep_pgs_bridgeprs.input)
+if 'sdpr' in pgs_methods_all:
+  pgs_methods_input.append(rules.prep_pgs_sdpr.input)
 
 rule prep_pgs:
   input:

From cbb75f289049a2fd56c86a739cf2ca1de92ad8da Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Thu, 26 Jun 2025 15:17:26 +0100
Subject: [PATCH 03/11] Updates

---
 Scripts/pgs_methods/sdpr.R | 86 ++++++++++++++++++++++----------------
 1 file changed, 49 insertions(+), 37 deletions(-)

diff --git a/Scripts/pgs_methods/sdpr.R b/Scripts/pgs_methods/sdpr.R
index da2feef2..119b9903 100644
--- a/Scripts/pgs_methods/sdpr.R
+++ b/Scripts/pgs_methods/sdpr.R
@@ -99,22 +99,11 @@ fwrite(gwas, paste0(tmp_dir,'/sumstats.txt'), row.names=F, quote=F, sep=' ', na=
 write.table(gwas$SNP, paste0(tmp_dir,'/sumstats.extract'), col.names=F, row.names=F, quote=F)
 
 ###
-# Create LD reference data
+# Run SDPR
 ###
 
-log_add(log_file = log_file, message = 'Preparing reference data.')
-
 dir.create(paste0(tmp_dir, '/ref_ld'))
 dir.create(paste0(tmp_dir, '/ref_mat'))
-for(i in GWAS_CHROMS){
-  system(paste0(opt$plink2, ' --pfile ', opt$ref_plink_chr, i, ' --keep ', opt$ref_keep,' --extract ', tmp_dir, '/sumstats.extract --make-bed --out ', tmp_dir, '/ref_ld/chr', i))
-  system(paste0(opt$sdpr, ' -make_ref -ref_prefix ', tmp_dir, '/ref_ld/chr', i,' -r2 0.1 -chr ', i,' -ref_dir ', tmp_dir, '/ref_mat/'))
-}
-
-###
-# Run SDPR
-###
-
 dir.create(paste0(tmp_dir, '/result'))
 
 log_add(log_file = log_file, message = 'Running SDPR.')
@@ -122,34 +111,57 @@ log_add(log_file = log_file, message = 'Running SDPR.')
 score <- NULL
 h2_total <- 0
 
+run_sdpr <- function(chr, r2 = 0.1) {
+  # Build LD reference
+  system(paste0(
+    opt$sdpr, ' -make_ref -ref_prefix ', tmp_dir, '/ref_ld/chr', chr,
+    ' -r2 ', r2,
+    ' -chr ', chr,
+    ' -ref_dir ', tmp_dir, '/ref_mat/'
+  ))
+  
+  # Run SDPR and return output
+  system(paste0(
+    opt$sdpr,
+    ' -mcmc -ref_dir ', tmp_dir, '/ref_mat/',
+    ' -ss ', tmp_dir, '/sumstats.txt',
+    ' -N ', round(gwas_N, 0),
+    ' -chr ', chr,
+    ' -out ', tmp_dir, '/result/SDPR_chr', chr, '.txt'
+  ), intern = TRUE)
+}
+
 for (i in GWAS_CHROMS) {
   message("Running SDPR on chr", i)
   
-  # Run SDPR and capture output as character vector
-  sdpr_output <- system(
-    paste0(opt$sdpr,
-           ' -mcmc -ref_dir ', tmp_dir, '/ref_mat/',
-           ' -ss ', tmp_dir, '/sumstats.txt',
-           ' -N ', round(gwas_N, 0),
-           ' -chr ', i,
-           ' -out ', tmp_dir, '/result/SDPR_chr', i, '.txt'),
-    intern = TRUE
-  )
-  
-  # Extract h2 from the final line (e.g., "h2: 0.075861 max: 0.446189")
-  h2_line <- sdpr_output[grepl("^h2:", sdpr_output)]
-  if (length(h2_line) == 1) {
-    h2_val <- as.numeric(sub("h2: ([0-9.]+).*", "\\1", h2_line))
-    h2_total <- h2_total + h2_val
-  } else {
-    warning("Could not extract h2 from chromosome ", i)
+  # Build LD reference
+  system(paste0(
+    opt$plink2, ' --pfile ', opt$ref_plink_chr, i,
+    ' --keep ', opt$ref_keep,
+    ' --extract ', tmp_dir, '/sumstats.extract',
+    ' --make-bed --out ', tmp_dir, '/ref_ld/chr', i
+  ))
+
+  r2<-0.1
+  while(i){
+    sdpr_output <- run_sdpr(i, r2 = r2)
+    h2_line <- sdpr_output[grepl("^h2:", sdpr_output)]
+    if (!grepl('h2: -nan', h2_line)) {
+      break
+    }
+    
+    log_add(log_file = log_file, message = paste0("SDPR failed on chr ", i, " even with r2=", r2, "."))
+    r2 <- r2 + 0.1
   }
   
-  # Read the final SDPR output score file
-  score <- rbind(
-    score,
-    fread(paste0(tmp_dir, '/result/SDPR_chr', i, '.txt'))
-  )
+  # Parse and sum heritability
+  h2_val <- as.numeric(sub("h2: ([0-9.]+).*", "\\1", h2_line))
+  h2_total <- h2_total + h2_val
+  
+  # Load the score output
+  score_file <- paste0(tmp_dir, '/result/SDPR_chr', i, '.txt')
+  score <- rbind(score, fread(score_file))
+
 }
 
 log_add(log_file = log_file, message = paste0('SNP-based heritability = ', h2_total, '.'))
@@ -157,8 +169,8 @@ log_add(log_file = log_file, message = paste0('SNP-based heritability = ', h2_to
 # Insert A2 info
 ref <- read_pvar(opt$ref_plink_chr, chr = CHROMS)[, c('SNP','A1','A2'), with=F]
 score <- merge(score, ref, by = c('SNP','A1'))
-names(score)[names(score) == 'beta'] <- 'SDPR'
-score <- score[, c('SNP','A1','A2','SDPR'), with=F]
+names(score)[names(score) == 'beta'] <- 'SCORE_SDPR'
+score <- score[, c('SNP','A1','A2','SCORE_SDPR'), with=F]
 
 # Flip effects to match reference alleles
 score <- map_score(ref = ref, score = score)

From 46029daf396db0c6e8f40e2808e17da3e94c48ea Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Sat, 28 Jun 2025 11:06:05 +0100
Subject: [PATCH 04/11] Added sitemap

---
 docs/sitemap.xml | 132 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 132 insertions(+)
 create mode 100644 docs/sitemap.xml

diff --git a/docs/sitemap.xml b/docs/sitemap.xml
new file mode 100644
index 00000000..21939e4a
--- /dev/null
+++ b/docs/sitemap.xml
@@ -0,0 +1,132 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
+  <url>
+    <loc>https://opain.github.io/GenoPred/Absolute_Conversion.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Benchmarking_methods.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/comparison_of_methods_summary.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/cookie-consent.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/CrossPop_summary.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/CrossPop.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Determine_optimal_polygenic_scoring_approach_GenoPredPipe.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Determine_optimal_polygenic_scoring_approach_update_07012022.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Determine_optimal_polygenic_scoring_approach_update_21102021.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Determine_optimal_polygenic_scoring_approach.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/DiverseAncestry.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Effect_Size_Converter.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/example_plink1-1_EUR.1_EUR-report.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/example_plink1-report.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/footer.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Functionally_informed_prediction.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Genotype-based_scoring_in_target_samples.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/hapnest_benchmark.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/header.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/index.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/model_builder_demo.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/more_index.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/opensnp_benchmark_crosspop.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/opensnp_benchmark.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/personal_genome_2021.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/pipeline_1kg_hgdp_prep.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/pipeline_23andMe.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/pipeline_benchmark.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/pipeline_overview.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Pipeline_prep_withUKBB_ref.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Pipeline_prep.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/pipeline_readme.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/pipeline_technical.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/prep_ldpred2_ldmat.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/PRS_to_Abs_tool.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/pts_demo.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/research_index.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/running_offline.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/running_on_dnanexus.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/stratified_pgs.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/Target_sample_phenotype_prep.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/tools_index.html</loc>
+  </url>
+  <url>
+    <loc>https://opain.github.io/GenoPred/ukb_benchmark.html</loc>
+  </url>
+</urlset>

From 80f3ded04ef98a7d765b350b31c48edfcb09d026 Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Thu, 3 Jul 2025 16:34:59 +0100
Subject: [PATCH 05/11] Minor update to cross_pop

---
 docs/CrossPop.Rmd | 184 ++++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 179 insertions(+), 5 deletions(-)

diff --git a/docs/CrossPop.Rmd b/docs/CrossPop.Rmd
index 1e1a1d52..2d38a060 100644
--- a/docs/CrossPop.Rmd
+++ b/docs/CrossPop.Rmd
@@ -3529,6 +3529,59 @@ ggplot(meta_tmp_simple[meta_tmp_simple$Target != 'EUR Target',], aes(x=label, y=
     )
 dev.off()
 
+tiff('~/oliverpainfel/Analyses/crosspop/plots/average_r.perc_improv.tiff', width = 3200, height = 2000, res= 300, units = 'px')
+ggplot(meta_tmp_simple[meta_tmp_simple$Target != 'EUR Target',], aes(x=label, y=R_diff_perc , fill = Model1)) +
+#    geom_boxplot(
+#      data = tmp_simple[tmp_simple$Target != 'EUR Target',],
+#        mapping = aes(x=label, y=R_diff_perc, colour=Model1),
+#        position = position_dodge(0.7),
+#        alpha = 0.3
+#      ) +
+    geom_point(
+        data = tmp_simple[tmp_simple$Target != 'EUR Target',],
+        mapping = aes(x=label, y=R_diff_perc, colour=Model1),
+        position = position_jitterdodge(jitter.width = 0.2, dodge.width = 0.7),
+        alpha = 0.3
+      ) +
+    geom_hline(yintercept = 0) +
+      geom_errorbar(
+        aes(
+          ymin = R_diff_perc - R_diff_perc_SE,
+          ymax = R_diff_perc + R_diff_perc_SE
+        ),
+        width = 0,
+        position = position_dodge(width = 0.7)
+      ) +    
+    geom_point(
+      stat = "identity",
+      position = position_dodge(0.7),
+      size = 3,
+      shape = 23
+    ) +
+    geom_point(
+        data = meta_tmp_ref_simple[meta_tmp_ref_simple$Target != 'EUR Target',],
+        aes(x = label, y = R_diff_perc, fill = Model1),
+        stat = "identity",
+        position = position_dodge(0.7), # Ensure same dodge as other points
+        size = 4,
+        shape = 22,
+        show.legend=F
+    ) +
+    geom_vline(xintercept = seq(1.5, length(unique(meta_tmp_simple$label))), linetype="dotted") +
+    scale_y_continuous(labels = percent_format()) +
+    labs(y = "Relative Improvement (SE)", fill = NULL, colour = NULL, x = NULL) +
+    facet_grid(Target ~ Discovery_clean, scales='free', space = 'free_x') +
+    theme_half_open() +
+    background_grid(major = 'y', minor = 'y') + 
+    panel_border() + 
+    theme(
+        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),  # Increase x-axis labels
+        legend.position = "top",
+        legend.key.spacing.x = unit(2, "cm"),
+        legend.justification = "center"
+    )
+dev.off()
+
 # Plot for EUR
 meta_tmp_simple$Discovery_clean <- paste0(meta_tmp_simple$Discovery1,' GWAS')
 meta_tmp_ref_simple$Discovery_clean <- paste0(meta_tmp_ref_simple$Discovery1,' GWAS')
@@ -3668,6 +3721,37 @@ ggplot(tmp_meta, aes(x=label, y=R_diff_perc , fill = Model1)) +
     )
 dev.off()
 
+tiff('~/oliverpainfel/Analyses/crosspop/plots/leopard_perc_improv.tiff', width = 1800, height = 1100, res= 300, units = 'px')
+
+ggplot(tmp_meta, aes(x=label, y=R_diff_perc , fill = Model1)) +
+    geom_hline(yintercept = 0) +
+      geom_errorbar(
+        aes(
+          ymin = R_diff_perc - R_diff_perc_SE,
+          ymax = R_diff_perc + R_diff_perc_SE
+        ),
+        width = 0,
+        position = position_dodge(width = 0.7)
+      ) +    
+    geom_point(
+      stat = "identity",
+      position = position_dodge(0.7),
+      size = 3,
+      shape = 23
+    ) +
+    geom_vline(xintercept = seq(1.5, length(unique(tmp_meta$label))), linetype="dotted") +
+    scale_y_continuous(labels = percent_format()) +
+    labs(y = "Relative Difference (SE)", fill = NULL, colour = NULL, x = NULL) +
+    facet_grid(. ~ Target_clean) +
+    theme_half_open() +
+    background_grid(major = 'y', minor = 'y') + 
+    panel_border() + 
+    theme(
+        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),  # Increase x-axis labels
+        legend.position = 'none'
+    )
+dev.off()
+
 # Now compare quickPRS-multi and prs-csx only with trait
 tmp_meta<-meta_res_comp_ref
 tmp_all<-res_comp_all_ref
@@ -11333,6 +11417,60 @@ ggplot(meta_tmp_simple[meta_tmp_simple$Target != 'EUR Target',], aes(x=label, y=
     )
 dev.off()
 
+tiff('~/oliverpainfel/Analyses/crosspop/sensitivity_mvp/plots/average_r.perc_improv.tiff', width = 3200, height = 1500, res= 300, units = 'px')
+ggplot(meta_tmp_simple[meta_tmp_simple$Target != 'EUR Target',], aes(x=label, y=R_diff_perc , fill = Model1)) +
+#    geom_boxplot(
+#      data = tmp_simple[tmp_simple$Target != 'EUR Target',],
+#        mapping = aes(x=label, y=R_diff_perc, colour=Model1),
+#        position = position_dodge(0.7),
+#        alpha = 0.3
+#      ) +
+    geom_point(
+        data = tmp_simple[tmp_simple$Target != 'EUR Target',],
+        mapping = aes(x=label, y=R_diff_perc, colour=Model1),
+        position = position_jitterdodge(jitter.width = 0.2, dodge.width = 0.7),
+        alpha = 0.3
+      ) +
+    geom_hline(yintercept = 0) +
+      geom_errorbar(
+        aes(
+          ymin = R_diff_perc - R_diff_perc_SE,
+          ymax = R_diff_perc + R_diff_perc_SE
+        ),
+        width = 0,
+        position = position_dodge(width = 0.7)
+      ) +    
+    geom_point(
+      stat = "identity",
+      position = position_dodge(0.7),
+      size = 3,
+      shape = 23
+    ) +
+    geom_point(
+        data = meta_tmp_ref_simple[meta_tmp_ref_simple$Target != 'EUR Target',],
+        aes(x = label, y = R_diff_perc, fill = Model1),
+        stat = "identity",
+        position = position_dodge(0.7), # Ensure same dodge as other points
+        size = 4,
+        shape = 22,
+        show.legend=F
+    ) +
+    geom_vline(xintercept = seq(1.5, length(unique(meta_tmp_simple$label))), linetype="dotted") +
+    scale_y_continuous(labels = percent_format()) +
+    labs(y = "Relative Improvement (SE)", fill = NULL, colour = NULL, x = NULL) +
+    facet_grid(Target ~ Discovery_clean, scales='free', space = 'free_x') +
+    theme_half_open() +
+    background_grid(major = 'y', minor = 'y') + 
+    panel_border() + 
+    theme(
+        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),  # Increase x-axis labels
+        legend.position = "top",
+        legend.key.spacing.x = unit(2, "cm"),
+        legend.justification = "center"
+    )
+dev.off()
+
+
 ########
 # Plot relative improvement of LEOPARD over IndivTune of SumStatTune scores
 ########
@@ -12538,13 +12676,49 @@ gwas_pc_all$type <- 'GWAS'
 
 pc_all <- rbind(ref_pc_all, gwas_pc_all)
 
-png('~/oliverpainfel/Analyses/crosspop/plots/genetic_distance.png', units = 'px', width = 2000, height = 1500, res = 300)
+library(ggplot2)
+library(cowplot)
+library(ggplot2)
+
+p1 <- ggplot(pc_all, aes(x = PC1, y = PC2)) +
+  geom_point(data = pc_all[pc_all$type == 'Reference',], aes(fill = Population), size = 5, shape = 21) +
+  geom_point(data = pc_all[pc_all$type == 'GWAS',], colour = 'black', size = 3, shape = 3, stroke = 2.5) +
+  geom_point(data = pc_all[pc_all$type == 'GWAS',], aes(colour = GWAS), size = 4, shape = 3, stroke = 1.5) +
+  theme_half_open() +
+  background_grid() +
+  ggtitle("PC1 vs PC2") +
+  guides(
+    colour = guide_legend(title = "GWAS", nrow = 2),
+    fill = guide_legend(title = "Population", nrow = 2)
+  )
+
+p2 <- ggplot(pc_all, aes(x = PC3, y = PC4)) +
+  geom_point(data = pc_all[pc_all$type == 'Reference',], aes(fill = Population), size = 5, shape = 21) +
+  geom_point(data = pc_all[pc_all$type == 'GWAS',], colour = 'black', size = 3, shape = 3, stroke = 2.5) +
+  geom_point(data = pc_all[pc_all$type == 'GWAS',], aes(colour = GWAS), size = 4, shape = 3, stroke = 1.5) +
+  theme_half_open() +
+  background_grid() +
+  ggtitle("PC3 vs PC4") +
+  guides(
+    colour = guide_legend(title = "GWAS", nrow = 2),
+    fill = guide_legend(title = "Population", nrow = 2)
+  )
 
-ggplot(pc_all, aes(x=PC1, y = PC2)) +
-  geom_point(data=pc_all[pc_all$type == 'Reference',], aes(x=PC1, y = PC2, fill = Population), size = 5, shape = 21) +
-  geom_point(data=pc_all[pc_all$type == 'GWAS',], aes(x=PC1, y = PC2, colour = GWAS), size = 4, shape = 3, stroke = 1.5) +
+p3 <- ggplot(pc_all, aes(x = PC5, y = PC6)) +
+  geom_point(data = pc_all[pc_all$type == 'Reference',], aes(fill = Population), size = 5, shape = 21) +
+  geom_point(data = pc_all[pc_all$type == 'GWAS',], colour = 'black', size = 3, shape = 3, stroke = 2.5) +
+  geom_point(data = pc_all[pc_all$type == 'GWAS',], aes(colour = GWAS), size = 4, shape = 3, stroke = 1.5) +
   theme_half_open() +
-  background_grid()
+  background_grid() +
+  ggtitle("PC5 vs PC6") +
+  guides(
+    colour = guide_legend(title = "GWAS", nrow = 2),
+    fill = guide_legend(title = "Population", nrow = 2)
+  )
+
+png('~/oliverpainfel/Analyses/crosspop/plots/genetic_distance.png', units = 'px', width = 4000, height = 1500, res = 300)
+
+(p1 | p2 | p3) + plot_layout(guides = "collect") & theme(legend.position = "bottom")
 
 dev.off()
 

From 245a46eb86e330d36a59b9480affd1333544bb3e Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Fri, 4 Jul 2025 09:35:01 +0100
Subject: [PATCH 06/11] Update to genoutils

---
 pipeline/rules/dependencies.smk | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pipeline/rules/dependencies.smk b/pipeline/rules/dependencies.smk
index 646fc407..9a460b4b 100644
--- a/pipeline/rules/dependencies.smk
+++ b/pipeline/rules/dependencies.smk
@@ -1285,7 +1285,7 @@ rule install_genoutils:
   shell:
     """
     {{
-      Rscript -e 'devtools::install_github(\"opain/GenoUtils@f462267c07cf43440aaf91c53c2af3605fec1b5f\")'
+      Rscript -e 'devtools::install_github(\"opain/GenoUtils@ff3e64d543ecd82af06c2c91ec44ec5f01d83487\")'
     }} > {log} 2>&1
     """
 

From a6aeefeae50726cc9b46363ef8b646618829cfb7 Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Tue, 15 Jul 2025 17:56:28 +0100
Subject: [PATCH 07/11] Updated default ldpred2 ref download rule

---
 pipeline/rules/dependencies.smk | 18 ++++++++++--------
 1 file changed, 10 insertions(+), 8 deletions(-)

diff --git a/pipeline/rules/dependencies.smk b/pipeline/rules/dependencies.smk
index 9a460b4b..c35b0a92 100644
--- a/pipeline/rules/dependencies.smk
+++ b/pipeline/rules/dependencies.smk
@@ -991,6 +991,8 @@ rule install_genoutils_sbayesrc:
     """
 
 # Download LDpred2 reference
+# This is the file from https://figshare.com/ndownloader/articles/19213299/versions/2, shared by the ldpred2 developer
+# However, direct downloads from figshare were either slow or blocked so using gdrive instead
 rule download_ldpred2_ref:
   output:
     f"{resdir}/data/ldpred2_ref/EUR/map.rds"
@@ -1001,17 +1003,17 @@ rule download_ldpred2_ref:
   shell:
     """
     {{
-      mkdir -p {resdir}/data/ldpred2_ref/EUR; \
-      wget --no-check-certificate -O {resdir}/data/ldpred2_ref/EUR/download.zip https://figshare.com/ndownloader/articles/19213299/versions/2; \
-      unzip {resdir}/data/ldpred2_ref/EUR/download.zip -d {resdir}/data/ldpred2_ref/EUR/; \
-      rm {resdir}/data/ldpred2_ref/EUR/download.zip; \
-      unzip {resdir}/data/ldpred2_ref/EUR/ldref_with_blocks.zip -d {resdir}/data/ldpred2_ref/EUR/; \
-      mv {resdir}/data/ldpred2_ref/EUR/ldref/* {resdir}/data/ldpred2_ref/EUR/; \
-      rm {resdir}/data/ldpred2_ref/EUR/ldref_with_blocks.zip; \
+      mkdir -p {resdir}/data/ldpred2_ref/EUR && \
+      gdown 1kicPiSl19l4g8GEMdOw1Ntw1jgXjmIt5 -O {resdir}/data/ldpred2_ref/EUR/download.zip; \
+      unzip -o {resdir}/data/ldpred2_ref/EUR/download.zip -d {resdir}/data/ldpred2_ref/EUR/ && \
+      rm {resdir}/data/ldpred2_ref/EUR/download.zip && \
+      unzip -o {resdir}/data/ldpred2_ref/EUR/ldref_with_blocks.zip -d {resdir}/data/ldpred2_ref/EUR/ && \
+      mv {resdir}/data/ldpred2_ref/EUR/ldref/* {resdir}/data/ldpred2_ref/EUR/ && \
+      rm {resdir}/data/ldpred2_ref/EUR/ldref_with_blocks.zip && \
       rm -r {resdir}/data/ldpred2_ref/EUR/ldref
     }} > {log} 2>&1
     """
-    
+
 # Download LDAK
 rule download_ldak:
   output:

From 61d3a33b9f5115cd6d138390bb354407b96a27bb Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Wed, 16 Jul 2025 10:11:05 +0100
Subject: [PATCH 08/11] Transistioned to glm2 for improved convergence. Fixed
 dependency bug for lassosum2

---
 Scripts/ref_scoring/ref_scoring.R |  1 +
 functions/pgs.R                   |  4 ++--
 pipeline/envs/analysis.yaml       |  1 +
 pipeline/rules/dependencies.smk   | 10 +++++-----
 4 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/Scripts/ref_scoring/ref_scoring.R b/Scripts/ref_scoring/ref_scoring.R
index 2044ecb8..6900a65b 100644
--- a/Scripts/ref_scoring/ref_scoring.R
+++ b/Scripts/ref_scoring/ref_scoring.R
@@ -23,6 +23,7 @@ opt = parse_args(OptionParser(option_list=option_list))
 # Load dependencies
 library(GenoUtils)
 library(data.table)
+library(glm2)
 source('../functions/misc.R')
 source_all('../functions')
 library(foreach)
diff --git a/functions/pgs.R b/functions/pgs.R
index a851bc93..9077ff36 100644
--- a/functions/pgs.R
+++ b/functions/pgs.R
@@ -608,8 +608,8 @@ model_trans_pgs<-function(scores=NULL, pcs=NULL, output=NULL){
     residual_pgs <- tmp$y - predicted_pgs
     squared_residuals <- residual_pgs^2
     squared_residuals <- pmax(squared_residuals, 1e-4)
-    
-    pgs_pc_var_mod <- glm(squared_residuals ~ ., data = tmp[, names(tmp) != 'y', with=F], family = Gamma(link = "log"))
+
+    pgs_pc_var_mod <- glm2(squared_residuals ~ ., data = tmp[, names(tmp) != 'y', with=F], family = Gamma(link = "log"))
     predicted_pgs_var <- exp(predict(pgs_pc_var_mod, newdata = tmp))
     
     scores_pcs_resid[[i]]<-residual_pgs/sqrt(predicted_pgs_var)
diff --git a/pipeline/envs/analysis.yaml b/pipeline/envs/analysis.yaml
index 107b96f2..704b9463 100644
--- a/pipeline/envs/analysis.yaml
+++ b/pipeline/envs/analysis.yaml
@@ -303,6 +303,7 @@ dependencies:
   - r-gistr=0.9.0
   - r-gitcreds=0.1.2
   - r-glmnet=4.1_8
+  - r-glm2=1.2.1
   - r-globals=0.16.2
   - r-glue=1.6.2
   - r-gmm=1.8
diff --git a/pipeline/rules/dependencies.smk b/pipeline/rules/dependencies.smk
index c35b0a92..2c52510a 100644
--- a/pipeline/rules/dependencies.smk
+++ b/pipeline/rules/dependencies.smk
@@ -275,35 +275,35 @@ else:
 if config['ldpred2_ldref'] == 'NA':
   ldpred2_ldref=f"{resdir}/data/ldpred2_ref"
     
-  if 'ldpred2' in config['pgs_methods']:
+  if 'ldpred2' in config['pgs_methods'] or 'lassosum2' in config['pgs_methods']:
     # Check if gwas_list contains invalid populations
     valid_pops = {'EUR'}
     invalid_pops = set(gwas_list_df['population'].unique()) - valid_pops
   
     if invalid_pops:
       raise ValueError(
-        f"Default ldpred2 reference data is only available for EUR populations. For other populations, please provide your own ldpred2 reference data using the ldpred2_ldref parameter. Download links to LDpred2 reference data for EUR, EAS and AFR populations can be found in this section of the website: https://opain.github.io/GenoPred/pipeline_readme.html#Specifying_alternative_reference_data_for_PGS_methods"
+        f"Default ldpred2/lassosum2 reference data is only available for EUR populations. For other populations, please provide your own ldpred2/lassosum2 reference data using the ldpred2_ldref parameter. Download links to ldpred2/lassosum2 reference data for EUR, EAS and AFR populations can be found in this section of the website: https://opain.github.io/GenoPred/pipeline_readme.html#Specifying_alternative_reference_data_for_PGS_methods"
       )
 
 else:
   ldpred2_ldref=config['ldpred2_ldref']
 
   # Check the ldpred2 ldref data is present for the required populations in the gwas_list
-  if 'ldpred2' in config['pgs_methods']:
+  if 'ldpred2' in config['pgs_methods'] or 'lassosum2' in config['pgs_methods']:
     for pop in gwas_list_df['population'].unique():
       path = f"{ldpred2_ldref}/{pop}"
       # Check if map.rds file exists
       map_file = os.path.join(path, "map.rds")
       if not os.path.exists(map_file):
         print(f"File not found: {map_file}")
-        raise FileNotFoundError(f"Required file not found: {map_file}. LDpred2 reference data must include map.rds for all populations.")
+        raise FileNotFoundError(f"Required file not found: {map_file}. ldpred2/lassosum2 reference data must include map.rds for all populations.")
   
       # Check if LD_with_blocks_chr${chr}.rds files exist for chr 1 to 22
       for chr in range(1, 23):
         ld_file = os.path.join(path, f"LD_with_blocks_chr{chr}.rds")
         if not os.path.exists(ld_file):
           print(f"File not found: {ld_file}")
-          raise FileNotFoundError(f"Required file not found: {ld_file}. LDpred2 reference data must include files for all chromosomes.")
+          raise FileNotFoundError(f"Required file not found: {ld_file}. ldpred2/lassosum2 reference data must include files for all chromosomes.")
 
 # Set sbayesr reference path
 if config['sbayesr_ldref'] == 'NA':

From f6b5dcf0ce360155b779fee570eb9f1555fa4dfb Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Wed, 16 Jul 2025 12:59:40 +0100
Subject: [PATCH 09/11] Updated reference output for tests

---
 .../ancestry/example_plink2.Ancestry.log      |   42 +-
 .../example_plink2.Ancestry.pc_plot.png       |  Bin 1142175 -> 1145200 bytes
 .../example_plink2/ancestry/keep_list.txt     |    8 +-
 ...example_plink2.ref.chr22.format_target.log |   26 +-
 .../geno/example_plink2.ref.chr22.log         |   27 +-
 .../projected/TRANS/example_plink2-TRANS.log  |   36 +-
 .../BODY04/example_plink2-BODY04-AFR.profiles |    4 +-
 ...-34-20.log => AFR_2025-07-16_12-47-05.log} |   28 +-
 .../BODY04/example_plink2-BODY04-CSA.profiles |    2 +-
 ...-34-18.log => CSA_2025-07-16_12-47-14.log} |   28 +-
 .../BODY04/example_plink2-BODY04-EAS.profiles |    4 +-
 ...-34-17.log => EAS_2025-07-16_12-47-16.log} |   28 +-
 .../BODY04/example_plink2-BODY04-EUR.profiles |   10 +-
 ...-34-19.log => EUR_2025-07-16_12-47-12.log} |   28 +-
 .../example_plink2-BODY04-TRANS.profiles      |   24 +-
 ...4-15.log => TRANS_2025-07-16_12-47-08.log} |   28 +-
 .../reports/example_plink2-report.html        |   28 +-
 .../example_plink2-4_EAS.4_EAS-report.html    |   26 +-
 .../ancestry_inference_i-example_plink2.txt   |    2 +-
 .../ancestry_reporter-example_plink2.txt      |    2 +-
 .../format_target_i-example_plink2-22.txt     |    2 +-
 ...iv_report_i-example_plink2-4_EAS.4_EAS.txt |    2 +-
 .../pc_projection_i-example_plink2-TRANS.txt  |    2 +-
 .../prep_pgs_external_i-PGS002804.txt         |    2 +-
 .../benchmarks/prep_pgs_lassosum_i-BODY04.txt |    2 +-
 .../benchmarks/prep_pgs_ptclump_i-BODY04.txt  |    2 +-
 .../reference/benchmarks/ref_pca_i-TRANS.txt  |    2 +-
 .../output/reference/benchmarks/ref_pgs.txt   |    2 +-
 .../sample_report_i-example_plink2.txt        |    2 +-
 .../reference/benchmarks/score_reporter.txt   |    2 +-
 .../benchmarks/sumstat_prep_i-BODY04.txt      |    2 +-
 .../target_pgs_i-example_plink2-AFR.txt       |    2 +-
 .../target_pgs_i-example_plink2-CSA.txt       |    2 +-
 .../target_pgs_i-example_plink2-EAS.txt       |    2 +-
 .../target_pgs_i-example_plink2-EUR.txt       |    2 +-
 .../target_pgs_i-example_plink2-TRANS.txt     |    2 +-
 .../gwas_sumstat/BODY04/BODY04-cleaned.log    |   30 +-
 .../ancestry_inference_i-example_plink2.log   |  164 +-
 .../logs/ancestry_reporter-example_plink2.log |    7 -
 .../format_target_i-example_plink2-22.log     |  171 +-
 ...iv_report_i-example_plink2-4_EAS.4_EAS.log |   11 +-
 .../pc_projection_i-example_plink2-TRANS.log  |   28 +-
 .../logs/prep_pgs_external_i-PGS002804.log    |   37 +-
 .../logs/prep_pgs_lassosum_i-BODY04.log       |   32 +-
 .../logs/prep_pgs_ptclump_i-BODY04.log        |   21 +-
 .../output/reference/logs/ref_pca_i-TRANS.log |  125 +-
 .../output/reference/logs/ref_pgs.log         |   22 +-
 .../logs/sample_report_i-example_plink2.log   |   11 +-
 .../output/reference/logs/score_reporter.log  |   11 +-
 .../reference/logs/sumstat_prep_i-BODY04.log  |    7 -
 .../logs/target_pgs_i-example_plink2-AFR.log  |   39 +-
 .../logs/target_pgs_i-example_plink2-CSA.log  |   39 +-
 .../logs/target_pgs_i-example_plink2-EAS.log  |   39 +-
 .../logs/target_pgs_i-example_plink2-EUR.log  |   39 +-
 .../target_pgs_i-example_plink2-TRANS.log     |   37 +-
 .../TRANS/ref-TRANS-pcs.eigenvec.var.gz       |  Bin 5330 -> 5330 bytes
 .../pc_score_files/TRANS/ref-TRANS-pcs.log    |   36 +-
 .../PGS002804/ref-PGS002804-TRANS.model.rds   |  Bin 1180585 -> 1180595 bytes
 .../external/PGS002804/ref-PGS002804.log      |   29 +-
 .../external/PGS002804/ref-PGS002804.score.gz |  Bin 6608 -> 6608 bytes
 .../lassosum/BODY04/ref-BODY04-AFR.profiles   | 1376 ++--
 .../lassosum/BODY04/ref-BODY04-AFR.scale      |   56 +-
 .../lassosum/BODY04/ref-BODY04-AMR.profiles   |  824 +-
 .../lassosum/BODY04/ref-BODY04-AMR.scale      |   56 +-
 .../lassosum/BODY04/ref-BODY04-CSA.profiles   | 1350 ++--
 .../lassosum/BODY04/ref-BODY04-CSA.scale      |   56 +-
 .../lassosum/BODY04/ref-BODY04-EAS.profiles   | 1474 ++--
 .../lassosum/BODY04/ref-BODY04-EAS.scale      |   56 +-
 .../lassosum/BODY04/ref-BODY04-EUR.profiles   | 1330 ++--
 .../lassosum/BODY04/ref-BODY04-EUR.scale      |   56 +-
 .../lassosum/BODY04/ref-BODY04-MID.profiles   |  272 +-
 .../lassosum/BODY04/ref-BODY04-MID.scale      |   56 +-
 .../BODY04/ref-BODY04-TRANS.model.rds         |  Bin 2796044 -> 2798136 bytes
 .../lassosum/BODY04/ref-BODY04-TRANS.profiles | 6626 ++++++++---------
 .../lassosum/BODY04/ref-BODY04-TRANS.scale    |   56 +-
 .../lassosum/BODY04/ref-BODY04.log            |   41 +-
 .../lassosum/BODY04/ref-BODY04.score.gz       |  Bin 33677 -> 33611 bytes
 .../ptclump/BODY04/ref-BODY04-TRANS.model.rds |  Bin 1351119 -> 1351130 bytes
 .../ptclump/BODY04/ref-BODY04.log             |   44 +-
 .../ptclump/BODY04/ref-BODY04.score.gz        |  Bin 5625 -> 5625 bytes
 ...og => ref_scoring_2025-07-16_12-46-59.log} |   26 +-
 .../output/resources/last_version.txt         |    1 +
 pipeline/misc/dev/test_setup.Rmd              |   42 +-
 83 files changed, 7509 insertions(+), 7637 deletions(-)
 rename pipeline/misc/dev/test_data/output/example_plink2/pgs/{AFR_2025-04-06_17-34-20.log => AFR_2025-07-16_12-47-05.log} (69%)
 rename pipeline/misc/dev/test_data/output/example_plink2/pgs/{CSA_2025-04-06_17-34-18.log => CSA_2025-07-16_12-47-14.log} (69%)
 rename pipeline/misc/dev/test_data/output/example_plink2/pgs/{EAS_2025-04-06_17-34-17.log => EAS_2025-07-16_12-47-16.log} (69%)
 rename pipeline/misc/dev/test_data/output/example_plink2/pgs/{EUR_2025-04-06_17-34-19.log => EUR_2025-07-16_12-47-12.log} (69%)
 rename pipeline/misc/dev/test_data/output/example_plink2/pgs/{TRANS_2025-04-06_17-34-15.log => TRANS_2025-07-16_12-47-08.log} (69%)
 rename pipeline/misc/dev/test_data/output/reference/pgs_score_files/{ref_scoring_2025-04-06_17-34-11.log => ref_scoring_2025-07-16_12-46-59.log} (61%)
 create mode 100644 pipeline/misc/dev/test_data/output/resources/last_version.txt

diff --git a/pipeline/misc/dev/test_data/output/example_plink2/ancestry/example_plink2.Ancestry.log b/pipeline/misc/dev/test_data/output/example_plink2/ancestry/example_plink2.Ancestry.log
index f521c519..999c78fd 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/ancestry/example_plink2.Ancestry.log
+++ b/pipeline/misc/dev/test_data/output/example_plink2/ancestry/example_plink2.Ancestry.log
@@ -3,27 +3,27 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter        Value                                                                                           
- target_plink_chr /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr     
- ref_plink_chr    misc/dev/test_data/ref/ref.chr                                                                  
- maf              0.05                                                                                            
- geno             0.02                                                                                            
- hwe              1e-06                                                                                           
- n_pcs            6                                                                                               
- plink2           plink2                                                                                          
- output           /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/example_plink2.Ancestry
- pop_data         misc/dev/test_data/ref/ref.pop.txt                                                              
- model_method     glmnet                                                                                          
- sd_rule          FALSE                                                                                           
- prob_thresh      0.95                                                                                            
- test             chr22                                                                                           
- memory           5000                                                                                            
- help             FALSE                                                                                           
- out_dir          /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/                       
+ Parameter        Value                                                                                       
+ target_plink_chr /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr     
+ ref_plink_chr    misc/dev/test_data/ref/ref.chr                                                              
+ maf              0.05                                                                                        
+ geno             0.02                                                                                        
+ hwe              1e-06                                                                                       
+ n_pcs            6                                                                                           
+ plink2           plink2                                                                                      
+ output           /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/example_plink2.Ancestry
+ pop_data         misc/dev/test_data/ref/ref.pop.txt                                                          
+ model_method     glmnet                                                                                      
+ sd_rule          FALSE                                                                                       
+ prob_thresh      0.95                                                                                        
+ test             chr22                                                                                       
+ memory           5000                                                                                        
+ help             FALSE                                                                                       
+ out_dir          /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/                       
 ---------------
-Analysis started at 2025-04-06 17:33:43
+Analysis started at 2025-07-16 12:36:31
 Lowering prob_thresh parameter to 0.5 for testing.
 Target sample size is <100 so only checking genotype missingness.
 587 variants match between target and reference after QC.
@@ -47,5 +47,5 @@ N per group based on model:
  MID        0
  Unassigned 2
 ----------
-Analysis finished at 2025-04-06 17:34:08 
-Analysis duration was 25.34 secs 
+Analysis finished at 2025-07-16 12:36:51 
+Analysis duration was 19.7 secs 
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/ancestry/example_plink2.Ancestry.pc_plot.png b/pipeline/misc/dev/test_data/output/example_plink2/ancestry/example_plink2.Ancestry.pc_plot.png
index ed1cb6cd80bb24c554eb5a13eb6c0a7cf7206784..058590ba9443db0e72f69442512e9e2aa47db920 100644
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diff --git a/pipeline/misc/dev/test_data/output/example_plink2/ancestry/keep_list.txt b/pipeline/misc/dev/test_data/output/example_plink2/ancestry/keep_list.txt
index 808ed465..e6413557 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/ancestry/keep_list.txt
+++ b/pipeline/misc/dev/test_data/output/example_plink2/ancestry/keep_list.txt
@@ -1,5 +1,5 @@
 POP file
-AFR /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/AFR.keep
-CSA /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/CSA.keep
-EAS /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/EAS.keep
-EUR /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/EUR.keep
+AFR /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/AFR.keep
+CSA /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/CSA.keep
+EAS /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/EAS.keep
+EUR /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/EUR.keep
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/geno/example_plink2.ref.chr22.format_target.log b/pipeline/misc/dev/test_data/output/example_plink2/geno/example_plink2.ref.chr22.format_target.log
index ce5a3a1a..59d900c0 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/geno/example_plink2.ref.chr22.format_target.log
+++ b/pipeline/misc/dev/test_data/output/example_plink2/geno/example_plink2.ref.chr22.format_target.log
@@ -3,19 +3,19 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter Value                                                                                        
- target    misc/dev/test_data/target/example.chr22                                                      
- ref       misc/dev/test_data/ref/ref.chr22                                                             
- format    plink2                                                                                       
- plink     plink                                                                                        
- plink2    plink2                                                                                       
- output    /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
- help      FALSE                                                                                        
- out_dir   /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/                        
+ Parameter Value                                                                                    
+ target    misc/dev/test_data/target/example.chr22                                                  
+ ref       misc/dev/test_data/ref/ref.chr22                                                         
+ format    plink2                                                                                   
+ plink     plink                                                                                    
+ plink2    plink2                                                                                   
+ output    /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+ help      FALSE                                                                                    
+ out_dir   /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/                        
 ---------------
-Analysis started at 2025-04-06 17:33:41
+Analysis started at 2025-07-16 12:36:29
 Reading in reference SNP data.
 Reference data contains 1000 variants.
 Reading in target SNP data.
@@ -26,5 +26,5 @@ GRCh38 match: 0% (Target), 0% (Ref)
 Target contains 1000 reference variants.
 Removing 0 duplicate variants - May have IUPAC NA.
 Inserting missing reference variants.
-Analysis finished at 2025-04-06 17:33:42 
-Analysis duration was 1.09 secs 
+Analysis finished at 2025-07-16 12:36:30 
+Analysis duration was 0.87 secs 
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/geno/example_plink2.ref.chr22.log b/pipeline/misc/dev/test_data/output/example_plink2/geno/example_plink2.ref.chr22.log
index 5a5d945b..0d3279e8 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/geno/example_plink2.ref.chr22.log
+++ b/pipeline/misc/dev/test_data/output/example_plink2/geno/example_plink2.ref.chr22.log
@@ -1,34 +1,33 @@
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)
 Options in effect:
-  --bfile /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ
+  --bfile /tmp/Rtmp5fUlQt/ref_targ
   --make-pgen
-  --out /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
-  --remove /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.psam
+  --out /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --remove /tmp/Rtmp5fUlQt/REF.psam
   --threads 1
 
-Hostname: erc-hpc-comp017
+Hostname: erc-hpc-comp179
 Working directory: /tools/GenoPred/pipeline
-Start time: Sun Apr  6 17:33:42 2025
+Start time: Wed Jul 16 12:36:30 2025
 
-Random number seed: 1743957222
-1031753 MiB RAM detected, ~924320 available; reserving 515876 MiB for main
+Random number seed: 1752665790
+1031700 MiB RAM detected, ~1017222 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 3325 samples (1573 females, 1752 males; 3325 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ.fam.
-1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ.bim.
+/tmp/Rtmp5fUlQt/ref_targ.fam.
+1000 variants loaded from /tmp/Rtmp5fUlQt/ref_targ.bim.
 Note: No phenotype data present.
 --remove: 12 samples remaining.
 12 samples (5 females, 7 males; 12 founders) remaining after main filters.
 Writing
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam
 ... done.
 Writing
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar
 ... done.
 Writing
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pgen
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pgen
 ... done.
 
-End time: Sun Apr  6 17:33:42 2025
+End time: Wed Jul 16 12:36:30 2025
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pcs/projected/TRANS/example_plink2-TRANS.log b/pipeline/misc/dev/test_data/output/example_plink2/pcs/projected/TRANS/example_plink2-TRANS.log
index 998b6226..33443a2a 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pcs/projected/TRANS/example_plink2-TRANS.log
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pcs/projected/TRANS/example_plink2-TRANS.log
@@ -3,25 +3,25 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter        Value                                                                                                        
- target_plink_chr /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr                  
- target_keep      NA                                                                                                           
- ref_score        /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.eigenvec.var.gz
- ref_freq_chr     misc/dev/test_data/ref/freq_files/TRANS/ref.TRANS.chr                                                        
- plink2           plink2                                                                                                       
- output           /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/pcs/projected/TRANS/example_plink2-TRANS     
- ref_scale        /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.TRANS.scale    
- n_cores          1                                                                                                            
- test             chr22                                                                                                        
- memory           5000                                                                                                         
- help             FALSE                                                                                                        
- output_dir       /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/pcs/projected/TRANS/                         
+ Parameter        Value                                                                                                    
+ target_plink_chr /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr                  
+ target_keep      NA                                                                                                       
+ ref_score        /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.eigenvec.var.gz
+ ref_freq_chr     misc/dev/test_data/ref/freq_files/TRANS/ref.TRANS.chr                                                    
+ plink2           plink2                                                                                                   
+ output           /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/pcs/projected/TRANS/example_plink2-TRANS     
+ ref_scale        /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.TRANS.scale    
+ n_cores          1                                                                                                        
+ test             chr22                                                                                                    
+ memory           5000                                                                                                     
+ help             FALSE                                                                                                    
+ output_dir       /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/pcs/projected/TRANS/                         
 ---------------
-Analysis started at 2025-04-06 17:34:09
+Analysis started at 2025-07-16 12:45:42
 Calculating polygenic scores in the target sample.
 Scaling target polygenic scores to the reference.
-Saved polygenic scores to: /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/pcs/projected/TRANS/example_plink2-TRANS.profiles.
-Analysis finished at 2025-04-06 17:34:09 
-Analysis duration was 0.57 secs 
+Saved polygenic scores to: /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/pcs/projected/TRANS/example_plink2-TRANS.profiles.
+Analysis finished at 2025-07-16 12:45:43 
+Analysis duration was 0.83 secs 
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR/lassosum/BODY04/example_plink2-BODY04-AFR.profiles b/pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR/lassosum/BODY04/example_plink2-BODY04-AFR.profiles
index 3e7d121d..edee778a 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR/lassosum/BODY04/example_plink2-BODY04-AFR.profiles
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR/lassosum/BODY04/example_plink2-BODY04-AFR.profiles
@@ -1,3 +1,3 @@
 FID IID BODY04_s0.2_lambda0.001 BODY04_s0.2_lambda0.00127427498570313 BODY04_s0.2_lambda0.00162377673918872 BODY04_s0.2_lambda0.00206913808111479 BODY04_s0.2_lambda0.00263665089873036 BODY04_s0.2_lambda0.00335981828628378 BODY04_s0.2_lambda0.00428133239871939 BODY04_s0.2_lambda0.00545559478116852 BODY04_s0.2_lambda0.00695192796177561 BODY04_s0.2_lambda0.00885866790410083 BODY04_s0.2_lambda0.0112883789168469 BODY04_s0.2_lambda0.0143844988828766 BODY04_s0.2_lambda0.0183298071083244 BODY04_s0.2_lambda0.0233572146909012 BODY04_s0.2_lambda0.0297635144163132 BODY04_s0.2_lambda0.0379269019073225 BODY04_s0.2_lambda0.0483293023857176 BODY04_s0.2_lambda0.0615848211066027 BODY04_s0.2_lambda0.0784759970351462 BODY04_s0.2_lambda0.1 BODY04_s0.5_lambda0.001 BODY04_s0.5_lambda0.00127427498570313 BODY04_s0.5_lambda0.00162377673918872 BODY04_s0.5_lambda0.00206913808111479 BODY04_s0.5_lambda0.00263665089873036 BODY04_s0.5_lambda0.00335981828628378 BODY04_s0.5_lambda0.00428133239871939 BODY04_s0.5_lambda0.00545559478116852 BODY04_s0.5_lambda0.00695192796177561 BODY04_s0.5_lambda0.00885866790410083 BODY04_s0.5_lambda0.0112883789168469 BODY04_s0.5_lambda0.0143844988828766 BODY04_s0.5_lambda0.0183298071083244 BODY04_s0.5_lambda0.0233572146909012 BODY04_s0.5_lambda0.0297635144163132 BODY04_s0.5_lambda0.0379269019073225 BODY04_s0.5_lambda0.0483293023857176 BODY04_s0.5_lambda0.0615848211066027 BODY04_s0.5_lambda0.0784759970351462 BODY04_s0.5_lambda0.1 BODY04_s0.9_lambda0.001 BODY04_s0.9_lambda0.00127427498570313 BODY04_s0.9_lambda0.00162377673918872 BODY04_s0.9_lambda0.00206913808111479 BODY04_s0.9_lambda0.00263665089873036 BODY04_s0.9_lambda0.00335981828628378 BODY04_s0.9_lambda0.00428133239871939 BODY04_s0.9_lambda0.00545559478116852 BODY04_s0.9_lambda0.00695192796177561 BODY04_s0.9_lambda0.00885866790410083 BODY04_s0.9_lambda0.0112883789168469 BODY04_s0.9_lambda0.0143844988828766 BODY04_s0.9_lambda0.0183298071083244 BODY04_s0.9_lambda0.0233572146909012 BODY04_s0.9_lambda0.0297635144163132 BODY04_s0.9_lambda0.0379269019073225 BODY04_s0.9_lambda0.0483293023857176 BODY04_s0.9_lambda0.0615848211066027 BODY04_s0.9_lambda0.0784759970351462 BODY04_s0.9_lambda0.1 BODY04_s1_lambda0.001 BODY04_s1_lambda0.00127427498570313 BODY04_s1_lambda0.00162377673918872 BODY04_s1_lambda0.00206913808111479 BODY04_s1_lambda0.00263665089873036 BODY04_s1_lambda0.00335981828628378 BODY04_s1_lambda0.00428133239871939 BODY04_s1_lambda0.00545559478116852 BODY04_s1_lambda0.00695192796177561 BODY04_s1_lambda0.00885866790410083 BODY04_s1_lambda0.0112883789168469 BODY04_s1_lambda0.0143844988828766 BODY04_s1_lambda0.0183298071083244 BODY04_s1_lambda0.0233572146909012 BODY04_s1_lambda0.0297635144163132 BODY04_s1_lambda0.0379269019073225 BODY04_s1_lambda0.0483293023857176 BODY04_s1_lambda0.0615848211066027 BODY04_s1_lambda0.0784759970351462 BODY04_s1_lambda0.1
-9_AFR 9_AFR -1.452 -1.401 -1.082 -0.663 0.116 0.365 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.132 -1.052 -0.856 -0.555 -0.102 0.31 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.135 -1.069 -0.969 -0.753 -0.407 0.019 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.212 -1.184 -1.054 -0.799 -0.547 -0.071 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-10_AFR 10_AFR 0.589 0.451 0.43 0.695 0.942 0.547 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.926 0.823 0.659 0.644 0.771 0.514 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.854 0.831 0.78 0.591 0.56 0.404 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.749 0.709 0.716 0.514 0.537 0.33 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
+9_AFR 9_AFR -1.448 -1.397 -1.074 -0.661 0.107 0.37 0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.13 -1.048 -0.85 -0.551 -0.103 0.316 0.308 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.134 -1.067 -0.967 -0.75 -0.403 0.034 0.294 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.211 -1.183 -1.053 -0.797 -0.542 -0.055 0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA
+10_AFR 10_AFR 0.598 0.454 0.431 0.693 0.932 0.554 0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.926 0.823 0.658 0.643 0.765 0.519 0.308 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.853 0.83 0.78 0.59 0.556 0.411 0.294 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.748 0.708 0.715 0.513 0.535 0.337 0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR_2025-04-06_17-34-20.log b/pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR_2025-07-16_12-47-05.log
similarity index 69%
rename from pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR_2025-04-06_17-34-20.log
rename to pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR_2025-07-16_12-47-05.log
index 29f58dc5..4ec8b037 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR_2025-04-06_17-34-20.log
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/AFR_2025-07-16_12-47-05.log
@@ -3,20 +3,20 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter  Value                                                                  
- config     /scratch_tmp/prj/oliverpainfel/tmp/config.yaml                         
- name       example_plink2                                                         
- population AFR                                                                    
- plink2     plink2                                                                 
- n_cores    1                                                                      
- test       chr22                                                                  
- memory     5000                                                                   
- help       FALSE                                                                  
- output     /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/AFR
+ Parameter  Value                                                              
+ config     /scratch/prj/oliverpainfel/tmp/config.yaml                         
+ name       example_plink2                                                     
+ population AFR                                                                
+ plink2     plink2                                                             
+ n_cores    1                                                                  
+ test       chr22                                                              
+ memory     5000                                                               
+ help       FALSE                                                              
+ output     /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/AFR
 ---------------
-Analysis started at 2025-04-06 17:34:20
+Analysis started at 2025-07-16 12:47:04
 After checking timestamps, 3/3 score files will be used for target scoring.
 ########################
 Processing chromosome 22:
@@ -25,5 +25,5 @@ Aggregating batched score files.
 Reading in scale files.
 Scaling target polygenic scores to the reference.
 Saved polygenic scores.
-Analysis finished at 2025-04-06 17:34:20 
-Analysis duration was 0.66 secs 
+Analysis finished at 2025-07-16 12:47:07 
+Analysis duration was 2.42 secs 
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA/lassosum/BODY04/example_plink2-BODY04-CSA.profiles b/pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA/lassosum/BODY04/example_plink2-BODY04-CSA.profiles
index 7dff5353..3414cfe3 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA/lassosum/BODY04/example_plink2-BODY04-CSA.profiles
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA/lassosum/BODY04/example_plink2-BODY04-CSA.profiles
@@ -1,2 +1,2 @@
 FID IID BODY04_s0.2_lambda0.001 BODY04_s0.2_lambda0.00127427498570313 BODY04_s0.2_lambda0.00162377673918872 BODY04_s0.2_lambda0.00206913808111479 BODY04_s0.2_lambda0.00263665089873036 BODY04_s0.2_lambda0.00335981828628378 BODY04_s0.2_lambda0.00428133239871939 BODY04_s0.2_lambda0.00545559478116852 BODY04_s0.2_lambda0.00695192796177561 BODY04_s0.2_lambda0.00885866790410083 BODY04_s0.2_lambda0.0112883789168469 BODY04_s0.2_lambda0.0143844988828766 BODY04_s0.2_lambda0.0183298071083244 BODY04_s0.2_lambda0.0233572146909012 BODY04_s0.2_lambda0.0297635144163132 BODY04_s0.2_lambda0.0379269019073225 BODY04_s0.2_lambda0.0483293023857176 BODY04_s0.2_lambda0.0615848211066027 BODY04_s0.2_lambda0.0784759970351462 BODY04_s0.2_lambda0.1 BODY04_s0.5_lambda0.001 BODY04_s0.5_lambda0.00127427498570313 BODY04_s0.5_lambda0.00162377673918872 BODY04_s0.5_lambda0.00206913808111479 BODY04_s0.5_lambda0.00263665089873036 BODY04_s0.5_lambda0.00335981828628378 BODY04_s0.5_lambda0.00428133239871939 BODY04_s0.5_lambda0.00545559478116852 BODY04_s0.5_lambda0.00695192796177561 BODY04_s0.5_lambda0.00885866790410083 BODY04_s0.5_lambda0.0112883789168469 BODY04_s0.5_lambda0.0143844988828766 BODY04_s0.5_lambda0.0183298071083244 BODY04_s0.5_lambda0.0233572146909012 BODY04_s0.5_lambda0.0297635144163132 BODY04_s0.5_lambda0.0379269019073225 BODY04_s0.5_lambda0.0483293023857176 BODY04_s0.5_lambda0.0615848211066027 BODY04_s0.5_lambda0.0784759970351462 BODY04_s0.5_lambda0.1 BODY04_s0.9_lambda0.001 BODY04_s0.9_lambda0.00127427498570313 BODY04_s0.9_lambda0.00162377673918872 BODY04_s0.9_lambda0.00206913808111479 BODY04_s0.9_lambda0.00263665089873036 BODY04_s0.9_lambda0.00335981828628378 BODY04_s0.9_lambda0.00428133239871939 BODY04_s0.9_lambda0.00545559478116852 BODY04_s0.9_lambda0.00695192796177561 BODY04_s0.9_lambda0.00885866790410083 BODY04_s0.9_lambda0.0112883789168469 BODY04_s0.9_lambda0.0143844988828766 BODY04_s0.9_lambda0.0183298071083244 BODY04_s0.9_lambda0.0233572146909012 BODY04_s0.9_lambda0.0297635144163132 BODY04_s0.9_lambda0.0379269019073225 BODY04_s0.9_lambda0.0483293023857176 BODY04_s0.9_lambda0.0615848211066027 BODY04_s0.9_lambda0.0784759970351462 BODY04_s0.9_lambda0.1 BODY04_s1_lambda0.001 BODY04_s1_lambda0.00127427498570313 BODY04_s1_lambda0.00162377673918872 BODY04_s1_lambda0.00206913808111479 BODY04_s1_lambda0.00263665089873036 BODY04_s1_lambda0.00335981828628378 BODY04_s1_lambda0.00428133239871939 BODY04_s1_lambda0.00545559478116852 BODY04_s1_lambda0.00695192796177561 BODY04_s1_lambda0.00885866790410083 BODY04_s1_lambda0.0112883789168469 BODY04_s1_lambda0.0143844988828766 BODY04_s1_lambda0.0183298071083244 BODY04_s1_lambda0.0233572146909012 BODY04_s1_lambda0.0297635144163132 BODY04_s1_lambda0.0379269019073225 BODY04_s1_lambda0.0483293023857176 BODY04_s1_lambda0.0615848211066027 BODY04_s1_lambda0.0784759970351462 BODY04_s1_lambda0.1
-7_CSA 7_CSA 2.109 2.223 2.351 2.405 2.186 1.539 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.072 2.093 2.15 2.172 1.938 1.521 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.757 1.776 1.731 1.662 1.48 1.514 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.53 1.531 1.462 1.263 1.187 1.485 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
+7_CSA 7_CSA 2.104 2.221 2.349 2.396 2.173 1.492 0.357 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.071 2.094 2.149 2.169 1.925 1.477 0.343 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.757 1.775 1.729 1.658 1.47 1.484 0.322 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.529 1.531 1.46 1.26 1.182 1.459 0.316 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA_2025-04-06_17-34-18.log b/pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA_2025-07-16_12-47-14.log
similarity index 69%
rename from pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA_2025-04-06_17-34-18.log
rename to pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA_2025-07-16_12-47-14.log
index ebcff29b..48eabcdf 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA_2025-04-06_17-34-18.log
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/CSA_2025-07-16_12-47-14.log
@@ -3,20 +3,20 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter  Value                                                                  
- config     /scratch_tmp/prj/oliverpainfel/tmp/config.yaml                         
- name       example_plink2                                                         
- population CSA                                                                    
- plink2     plink2                                                                 
- n_cores    1                                                                      
- test       chr22                                                                  
- memory     5000                                                                   
- help       FALSE                                                                  
- output     /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/CSA
+ Parameter  Value                                                              
+ config     /scratch/prj/oliverpainfel/tmp/config.yaml                         
+ name       example_plink2                                                     
+ population CSA                                                                
+ plink2     plink2                                                             
+ n_cores    1                                                                  
+ test       chr22                                                              
+ memory     5000                                                               
+ help       FALSE                                                              
+ output     /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/CSA
 ---------------
-Analysis started at 2025-04-06 17:34:17
+Analysis started at 2025-07-16 12:47:13
 After checking timestamps, 3/3 score files will be used for target scoring.
 ########################
 Processing chromosome 22:
@@ -25,5 +25,5 @@ Aggregating batched score files.
 Reading in scale files.
 Scaling target polygenic scores to the reference.
 Saved polygenic scores.
-Analysis finished at 2025-04-06 17:34:18 
-Analysis duration was 0.66 secs 
+Analysis finished at 2025-07-16 12:47:15 
+Analysis duration was 1.39 secs 
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS/lassosum/BODY04/example_plink2-BODY04-EAS.profiles b/pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS/lassosum/BODY04/example_plink2-BODY04-EAS.profiles
index c7d24e8f..64bf90fd 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS/lassosum/BODY04/example_plink2-BODY04-EAS.profiles
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS/lassosum/BODY04/example_plink2-BODY04-EAS.profiles
@@ -1,3 +1,3 @@
 FID IID BODY04_s0.2_lambda0.001 BODY04_s0.2_lambda0.00127427498570313 BODY04_s0.2_lambda0.00162377673918872 BODY04_s0.2_lambda0.00206913808111479 BODY04_s0.2_lambda0.00263665089873036 BODY04_s0.2_lambda0.00335981828628378 BODY04_s0.2_lambda0.00428133239871939 BODY04_s0.2_lambda0.00545559478116852 BODY04_s0.2_lambda0.00695192796177561 BODY04_s0.2_lambda0.00885866790410083 BODY04_s0.2_lambda0.0112883789168469 BODY04_s0.2_lambda0.0143844988828766 BODY04_s0.2_lambda0.0183298071083244 BODY04_s0.2_lambda0.0233572146909012 BODY04_s0.2_lambda0.0297635144163132 BODY04_s0.2_lambda0.0379269019073225 BODY04_s0.2_lambda0.0483293023857176 BODY04_s0.2_lambda0.0615848211066027 BODY04_s0.2_lambda0.0784759970351462 BODY04_s0.2_lambda0.1 BODY04_s0.5_lambda0.001 BODY04_s0.5_lambda0.00127427498570313 BODY04_s0.5_lambda0.00162377673918872 BODY04_s0.5_lambda0.00206913808111479 BODY04_s0.5_lambda0.00263665089873036 BODY04_s0.5_lambda0.00335981828628378 BODY04_s0.5_lambda0.00428133239871939 BODY04_s0.5_lambda0.00545559478116852 BODY04_s0.5_lambda0.00695192796177561 BODY04_s0.5_lambda0.00885866790410083 BODY04_s0.5_lambda0.0112883789168469 BODY04_s0.5_lambda0.0143844988828766 BODY04_s0.5_lambda0.0183298071083244 BODY04_s0.5_lambda0.0233572146909012 BODY04_s0.5_lambda0.0297635144163132 BODY04_s0.5_lambda0.0379269019073225 BODY04_s0.5_lambda0.0483293023857176 BODY04_s0.5_lambda0.0615848211066027 BODY04_s0.5_lambda0.0784759970351462 BODY04_s0.5_lambda0.1 BODY04_s0.9_lambda0.001 BODY04_s0.9_lambda0.00127427498570313 BODY04_s0.9_lambda0.00162377673918872 BODY04_s0.9_lambda0.00206913808111479 BODY04_s0.9_lambda0.00263665089873036 BODY04_s0.9_lambda0.00335981828628378 BODY04_s0.9_lambda0.00428133239871939 BODY04_s0.9_lambda0.00545559478116852 BODY04_s0.9_lambda0.00695192796177561 BODY04_s0.9_lambda0.00885866790410083 BODY04_s0.9_lambda0.0112883789168469 BODY04_s0.9_lambda0.0143844988828766 BODY04_s0.9_lambda0.0183298071083244 BODY04_s0.9_lambda0.0233572146909012 BODY04_s0.9_lambda0.0297635144163132 BODY04_s0.9_lambda0.0379269019073225 BODY04_s0.9_lambda0.0483293023857176 BODY04_s0.9_lambda0.0615848211066027 BODY04_s0.9_lambda0.0784759970351462 BODY04_s0.9_lambda0.1 BODY04_s1_lambda0.001 BODY04_s1_lambda0.00127427498570313 BODY04_s1_lambda0.00162377673918872 BODY04_s1_lambda0.00206913808111479 BODY04_s1_lambda0.00263665089873036 BODY04_s1_lambda0.00335981828628378 BODY04_s1_lambda0.00428133239871939 BODY04_s1_lambda0.00545559478116852 BODY04_s1_lambda0.00695192796177561 BODY04_s1_lambda0.00885866790410083 BODY04_s1_lambda0.0112883789168469 BODY04_s1_lambda0.0143844988828766 BODY04_s1_lambda0.0183298071083244 BODY04_s1_lambda0.0233572146909012 BODY04_s1_lambda0.0297635144163132 BODY04_s1_lambda0.0379269019073225 BODY04_s1_lambda0.0483293023857176 BODY04_s1_lambda0.0615848211066027 BODY04_s1_lambda0.0784759970351462 BODY04_s1_lambda0.1
-3_EAS 3_EAS -0.839 -0.708 -0.294 0.331 0.415 -0.12 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.441 -0.311 0.047 0.599 0.619 -0.079 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.226 0.403 0.72 1.047 0.952 0.191 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.759 0.873 1.035 1.222 1.123 0.299 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-4_EAS 4_EAS 0.994 1.043 1.121 1.221 0.782 -0.17 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.412 1.501 1.513 1.376 0.742 -0.343 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.612 1.667 1.669 1.48 1.008 -0.409 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.81 1.837 1.731 1.586 1.131 -0.354 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
+3_EAS 3_EAS -0.839 -0.708 -0.29 0.335 0.414 -0.138 -0.376 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.444 -0.313 0.049 0.599 0.616 -0.096 -0.381 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.225 0.402 0.717 1.042 0.948 0.169 -0.389 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.758 0.871 1.032 1.218 1.118 0.277 -0.391 NA NA NA NA NA NA NA NA NA NA NA NA NA
+4_EAS 4_EAS 0.996 1.054 1.133 1.231 0.798 -0.122 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.418 1.51 1.521 1.384 0.759 -0.298 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.614 1.67 1.673 1.488 1.025 -0.363 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.812 1.839 1.735 1.591 1.144 -0.309 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS_2025-04-06_17-34-17.log b/pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS_2025-07-16_12-47-16.log
similarity index 69%
rename from pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS_2025-04-06_17-34-17.log
rename to pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS_2025-07-16_12-47-16.log
index 492c74ae..8b91d42e 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS_2025-04-06_17-34-17.log
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/EAS_2025-07-16_12-47-16.log
@@ -3,20 +3,20 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter  Value                                                                  
- config     /scratch_tmp/prj/oliverpainfel/tmp/config.yaml                         
- name       example_plink2                                                         
- population EAS                                                                    
- plink2     plink2                                                                 
- n_cores    1                                                                      
- test       chr22                                                                  
- memory     5000                                                                   
- help       FALSE                                                                  
- output     /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/EAS
+ Parameter  Value                                                              
+ config     /scratch/prj/oliverpainfel/tmp/config.yaml                         
+ name       example_plink2                                                     
+ population EAS                                                                
+ plink2     plink2                                                             
+ n_cores    1                                                                  
+ test       chr22                                                              
+ memory     5000                                                               
+ help       FALSE                                                              
+ output     /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/EAS
 ---------------
-Analysis started at 2025-04-06 17:34:16
+Analysis started at 2025-07-16 12:47:15
 After checking timestamps, 3/3 score files will be used for target scoring.
 ########################
 Processing chromosome 22:
@@ -25,5 +25,5 @@ Aggregating batched score files.
 Reading in scale files.
 Scaling target polygenic scores to the reference.
 Saved polygenic scores.
-Analysis finished at 2025-04-06 17:34:17 
-Analysis duration was 0.65 secs 
+Analysis finished at 2025-07-16 12:47:17 
+Analysis duration was 1.77 secs 
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR/lassosum/BODY04/example_plink2-BODY04-EUR.profiles b/pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR/lassosum/BODY04/example_plink2-BODY04-EUR.profiles
index 08a0c002..18c5caab 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR/lassosum/BODY04/example_plink2-BODY04-EUR.profiles
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR/lassosum/BODY04/example_plink2-BODY04-EUR.profiles
@@ -1,6 +1,6 @@
 FID IID BODY04_s0.2_lambda0.001 BODY04_s0.2_lambda0.00127427498570313 BODY04_s0.2_lambda0.00162377673918872 BODY04_s0.2_lambda0.00206913808111479 BODY04_s0.2_lambda0.00263665089873036 BODY04_s0.2_lambda0.00335981828628378 BODY04_s0.2_lambda0.00428133239871939 BODY04_s0.2_lambda0.00545559478116852 BODY04_s0.2_lambda0.00695192796177561 BODY04_s0.2_lambda0.00885866790410083 BODY04_s0.2_lambda0.0112883789168469 BODY04_s0.2_lambda0.0143844988828766 BODY04_s0.2_lambda0.0183298071083244 BODY04_s0.2_lambda0.0233572146909012 BODY04_s0.2_lambda0.0297635144163132 BODY04_s0.2_lambda0.0379269019073225 BODY04_s0.2_lambda0.0483293023857176 BODY04_s0.2_lambda0.0615848211066027 BODY04_s0.2_lambda0.0784759970351462 BODY04_s0.2_lambda0.1 BODY04_s0.5_lambda0.001 BODY04_s0.5_lambda0.00127427498570313 BODY04_s0.5_lambda0.00162377673918872 BODY04_s0.5_lambda0.00206913808111479 BODY04_s0.5_lambda0.00263665089873036 BODY04_s0.5_lambda0.00335981828628378 BODY04_s0.5_lambda0.00428133239871939 BODY04_s0.5_lambda0.00545559478116852 BODY04_s0.5_lambda0.00695192796177561 BODY04_s0.5_lambda0.00885866790410083 BODY04_s0.5_lambda0.0112883789168469 BODY04_s0.5_lambda0.0143844988828766 BODY04_s0.5_lambda0.0183298071083244 BODY04_s0.5_lambda0.0233572146909012 BODY04_s0.5_lambda0.0297635144163132 BODY04_s0.5_lambda0.0379269019073225 BODY04_s0.5_lambda0.0483293023857176 BODY04_s0.5_lambda0.0615848211066027 BODY04_s0.5_lambda0.0784759970351462 BODY04_s0.5_lambda0.1 BODY04_s0.9_lambda0.001 BODY04_s0.9_lambda0.00127427498570313 BODY04_s0.9_lambda0.00162377673918872 BODY04_s0.9_lambda0.00206913808111479 BODY04_s0.9_lambda0.00263665089873036 BODY04_s0.9_lambda0.00335981828628378 BODY04_s0.9_lambda0.00428133239871939 BODY04_s0.9_lambda0.00545559478116852 BODY04_s0.9_lambda0.00695192796177561 BODY04_s0.9_lambda0.00885866790410083 BODY04_s0.9_lambda0.0112883789168469 BODY04_s0.9_lambda0.0143844988828766 BODY04_s0.9_lambda0.0183298071083244 BODY04_s0.9_lambda0.0233572146909012 BODY04_s0.9_lambda0.0297635144163132 BODY04_s0.9_lambda0.0379269019073225 BODY04_s0.9_lambda0.0483293023857176 BODY04_s0.9_lambda0.0615848211066027 BODY04_s0.9_lambda0.0784759970351462 BODY04_s0.9_lambda0.1 BODY04_s1_lambda0.001 BODY04_s1_lambda0.00127427498570313 BODY04_s1_lambda0.00162377673918872 BODY04_s1_lambda0.00206913808111479 BODY04_s1_lambda0.00263665089873036 BODY04_s1_lambda0.00335981828628378 BODY04_s1_lambda0.00428133239871939 BODY04_s1_lambda0.00545559478116852 BODY04_s1_lambda0.00695192796177561 BODY04_s1_lambda0.00885866790410083 BODY04_s1_lambda0.0112883789168469 BODY04_s1_lambda0.0143844988828766 BODY04_s1_lambda0.0183298071083244 BODY04_s1_lambda0.0233572146909012 BODY04_s1_lambda0.0297635144163132 BODY04_s1_lambda0.0379269019073225 BODY04_s1_lambda0.0483293023857176 BODY04_s1_lambda0.0615848211066027 BODY04_s1_lambda0.0784759970351462 BODY04_s1_lambda0.1
-1_EUR 1_EUR -0.494 -0.554 -0.457 -0.077 0.031 0.096 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.497 -0.491 -0.328 -0.013 -0.017 0.112 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.489 -0.446 -0.322 -0.208 -0.153 0.027 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.559 -0.513 -0.404 -0.249 -0.241 -0.011 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-6_AMR 6_AMR -0.458 -0.439 -0.393 -0.301 -0.301 -1.402 -1.919 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.205 -0.174 -0.141 -0.008 0 -1.185 -1.926 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.354 0.371 0.41 0.512 0.518 -0.816 -1.931 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.372 0.382 0.406 0.511 0.669 -0.654 -1.932 NA NA NA NA NA NA NA NA NA NA NA NA NA
-8_CSA 8_CSA -0.232 -0.132 -0.1 -0.104 -0.103 0.021 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.015 -0.008 -0.035 -0.083 -0.131 -0.146 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.142 0.085 0.039 -0.01 -0.037 -0.22 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.279 0.198 0.075 -0.04 -0.006 -0.193 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-11_MID 11_MID 1.232 1.05 0.851 0.501 -0.291 -0.985 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.031 0.898 0.727 0.304 -0.408 -1.135 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.642 0.528 0.352 0.125 -0.466 -1.299 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.45 0.361 0.234 0.113 -0.434 -1.313 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-12_MID 12_MID -1.47 -1.565 -1.704 -1.306 -0.547 -0.138 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.229 -1.274 -1.378 -1.054 -0.506 -0.065 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.104 -1.101 -1.088 -0.91 -0.419 0.025 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.01 -1.036 -1.023 -0.851 -0.407 0.065 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
+1_EUR 1_EUR -0.484 -0.543 -0.447 -0.074 0.034 0.095 0.583 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.493 -0.484 -0.322 -0.016 -0.02 0.108 0.598 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.49 -0.445 -0.323 -0.211 -0.161 0.009 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.56 -0.516 -0.406 -0.251 -0.249 -0.032 0.623 NA NA NA NA NA NA NA NA NA NA NA NA NA
+6_AMR 6_AMR -0.463 -0.444 -0.397 -0.308 -0.312 -1.4 -1.908 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.206 -0.176 -0.146 -0.016 -0.012 -1.19 -1.914 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.353 0.369 0.407 0.507 0.511 -0.825 -1.919 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.371 0.381 0.404 0.508 0.662 -0.662 -1.92 NA NA NA NA NA NA NA NA NA NA NA NA NA
+8_CSA 8_CSA -0.226 -0.125 -0.093 -0.089 -0.078 0.077 -0.278 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.012 -0.002 -0.028 -0.066 -0.106 -0.096 -0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.146 0.089 0.045 0.002 -0.016 -0.168 -0.34 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.282 0.202 0.081 -0.032 0.014 -0.141 -0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA
+11_MID 11_MID 1.233 1.052 0.849 0.49 -0.307 -1.033 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.034 0.901 0.728 0.3 -0.405 -1.137 -0.923 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.645 0.53 0.354 0.129 -0.457 -1.288 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.452 0.363 0.236 0.116 -0.428 -1.301 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
+12_MID 12_MID -1.47 -1.561 -1.7 -1.305 -0.554 -0.143 -0.278 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.229 -1.272 -1.376 -1.051 -0.509 -0.068 -0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.104 -1.101 -1.088 -0.91 -0.418 0.03 -0.34 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.009 -1.036 -1.022 -0.85 -0.402 0.074 -0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR_2025-04-06_17-34-19.log b/pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR_2025-07-16_12-47-12.log
similarity index 69%
rename from pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR_2025-04-06_17-34-19.log
rename to pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR_2025-07-16_12-47-12.log
index 1ec37a61..841225bf 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR_2025-04-06_17-34-19.log
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/EUR_2025-07-16_12-47-12.log
@@ -3,20 +3,20 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter  Value                                                                  
- config     /scratch_tmp/prj/oliverpainfel/tmp/config.yaml                         
- name       example_plink2                                                         
- population EUR                                                                    
- plink2     plink2                                                                 
- n_cores    1                                                                      
- test       chr22                                                                  
- memory     5000                                                                   
- help       FALSE                                                                  
- output     /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/EUR
+ Parameter  Value                                                              
+ config     /scratch/prj/oliverpainfel/tmp/config.yaml                         
+ name       example_plink2                                                     
+ population EUR                                                                
+ plink2     plink2                                                             
+ n_cores    1                                                                  
+ test       chr22                                                              
+ memory     5000                                                               
+ help       FALSE                                                              
+ output     /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/EUR
 ---------------
-Analysis started at 2025-04-06 17:34:18
+Analysis started at 2025-07-16 12:47:11
 After checking timestamps, 3/3 score files will be used for target scoring.
 ########################
 Processing chromosome 22:
@@ -25,5 +25,5 @@ Aggregating batched score files.
 Reading in scale files.
 Scaling target polygenic scores to the reference.
 Saved polygenic scores.
-Analysis finished at 2025-04-06 17:34:19 
-Analysis duration was 0.66 secs 
+Analysis finished at 2025-07-16 12:47:12 
+Analysis duration was 1.7 secs 
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS/lassosum/BODY04/example_plink2-BODY04-TRANS.profiles b/pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS/lassosum/BODY04/example_plink2-BODY04-TRANS.profiles
index 8dc6f00a..ebc9c071 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS/lassosum/BODY04/example_plink2-BODY04-TRANS.profiles
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS/lassosum/BODY04/example_plink2-BODY04-TRANS.profiles
@@ -1,13 +1,13 @@
 FID IID BODY04_s0.2_lambda0.001 BODY04_s0.2_lambda0.00127427498570313 BODY04_s0.2_lambda0.00162377673918872 BODY04_s0.2_lambda0.00206913808111479 BODY04_s0.2_lambda0.00263665089873036 BODY04_s0.2_lambda0.00335981828628378 BODY04_s0.2_lambda0.00428133239871939 BODY04_s0.2_lambda0.00545559478116852 BODY04_s0.2_lambda0.00695192796177561 BODY04_s0.2_lambda0.00885866790410083 BODY04_s0.2_lambda0.0112883789168469 BODY04_s0.2_lambda0.0143844988828766 BODY04_s0.2_lambda0.0183298071083244 BODY04_s0.2_lambda0.0233572146909012 BODY04_s0.2_lambda0.0297635144163132 BODY04_s0.2_lambda0.0379269019073225 BODY04_s0.2_lambda0.0483293023857176 BODY04_s0.2_lambda0.0615848211066027 BODY04_s0.2_lambda0.0784759970351462 BODY04_s0.2_lambda0.1 BODY04_s0.5_lambda0.001 BODY04_s0.5_lambda0.00127427498570313 BODY04_s0.5_lambda0.00162377673918872 BODY04_s0.5_lambda0.00206913808111479 BODY04_s0.5_lambda0.00263665089873036 BODY04_s0.5_lambda0.00335981828628378 BODY04_s0.5_lambda0.00428133239871939 BODY04_s0.5_lambda0.00545559478116852 BODY04_s0.5_lambda0.00695192796177561 BODY04_s0.5_lambda0.00885866790410083 BODY04_s0.5_lambda0.0112883789168469 BODY04_s0.5_lambda0.0143844988828766 BODY04_s0.5_lambda0.0183298071083244 BODY04_s0.5_lambda0.0233572146909012 BODY04_s0.5_lambda0.0297635144163132 BODY04_s0.5_lambda0.0379269019073225 BODY04_s0.5_lambda0.0483293023857176 BODY04_s0.5_lambda0.0615848211066027 BODY04_s0.5_lambda0.0784759970351462 BODY04_s0.5_lambda0.1 BODY04_s0.9_lambda0.001 BODY04_s0.9_lambda0.00127427498570313 BODY04_s0.9_lambda0.00162377673918872 BODY04_s0.9_lambda0.00206913808111479 BODY04_s0.9_lambda0.00263665089873036 BODY04_s0.9_lambda0.00335981828628378 BODY04_s0.9_lambda0.00428133239871939 BODY04_s0.9_lambda0.00545559478116852 BODY04_s0.9_lambda0.00695192796177561 BODY04_s0.9_lambda0.00885866790410083 BODY04_s0.9_lambda0.0112883789168469 BODY04_s0.9_lambda0.0143844988828766 BODY04_s0.9_lambda0.0183298071083244 BODY04_s0.9_lambda0.0233572146909012 BODY04_s0.9_lambda0.0297635144163132 BODY04_s0.9_lambda0.0379269019073225 BODY04_s0.9_lambda0.0483293023857176 BODY04_s0.9_lambda0.0615848211066027 BODY04_s0.9_lambda0.0784759970351462 BODY04_s0.9_lambda0.1 BODY04_s1_lambda0.001 BODY04_s1_lambda0.00127427498570313 BODY04_s1_lambda0.00162377673918872 BODY04_s1_lambda0.00206913808111479 BODY04_s1_lambda0.00263665089873036 BODY04_s1_lambda0.00335981828628378 BODY04_s1_lambda0.00428133239871939 BODY04_s1_lambda0.00545559478116852 BODY04_s1_lambda0.00695192796177561 BODY04_s1_lambda0.00885866790410083 BODY04_s1_lambda0.0112883789168469 BODY04_s1_lambda0.0143844988828766 BODY04_s1_lambda0.0183298071083244 BODY04_s1_lambda0.0233572146909012 BODY04_s1_lambda0.0297635144163132 BODY04_s1_lambda0.0379269019073225 BODY04_s1_lambda0.0483293023857176 BODY04_s1_lambda0.0615848211066027 BODY04_s1_lambda0.0784759970351462 BODY04_s1_lambda0.1
-1_EUR 1_EUR -0.002 -0.047 0 0.227 0.359 0.345 0.112 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.101 -0.085 0.088 0.351 0.392 0.393 0.11 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.373 -0.249 -0.015 0.326 0.486 0.452 0.108 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.707 -0.595 -0.267 0.243 0.517 0.488 0.108 0 0 0 0 0 0 0 0 0 0 0 0 0
-2_EUR 2_EUR -0.742 -0.638 -0.563 -0.589 -0.473 -0.313 -0.151 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.864 -0.828 -0.757 -0.651 -0.499 -0.307 -0.149 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.88 -0.892 -0.845 -0.736 -0.602 -0.339 -0.146 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.583 -0.636 -0.668 -0.684 -0.644 -0.367 -0.146 0 0 0 0 0 0 0 0 0 0 0 0 0
-3_EAS 3_EAS -1.57 -1.273 -0.757 -0.217 -0.098 -0.038 -0.012 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.34 -1.102 -0.638 -0.158 -0.112 -0.069 -0.014 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.972 -0.773 -0.378 0.04 -0.033 -0.086 -0.016 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.459 -0.342 -0.157 0.122 0.075 -0.08 -0.017 0 0 0 0 0 0 0 0 0 0 0 0 0
-4_EAS 4_EAS 0.058 0.129 0.196 0.204 -0.029 -0.105 -0.046 0 0 0 0 0 0 0 0 0 0 0 0 0 0.321 0.408 0.42 0.256 -0.104 -0.169 -0.047 0 0 0 0 0 0 0 0 0 0 0 0 0 0.321 0.38 0.45 0.345 -0.035 -0.251 -0.05 0 0 0 0 0 0 0 0 0 0 0 0 0 0.467 0.489 0.407 0.356 0.025 -0.265 -0.05 0 0 0 0 0 0 0 0 0 0 0 0 0
-5_AMR 5_AMR -0.043 0.06 0.217 0.204 0.119 -0.088 -0.125 0 0 0 0 0 0 0 0 0 0 0 0 0 0.123 0.129 0.277 0.262 0.182 -0.105 -0.123 0 0 0 0 0 0 0 0 0 0 0 0 0 0.786 0.809 0.769 0.646 0.377 -0.1 -0.121 0 0 0 0 0 0 0 0 0 0 0 0 0 1.138 1.204 1.2 1.06 0.614 -0.104 -0.121 0 0 0 0 0 0 0 0 0 0 0 0 0
-6_AMR 6_AMR 0.515 0.415 0.315 0.233 0.162 -0.179 -0.141 0 0 0 0 0 0 0 0 0 0 0 0 0 0.795 0.713 0.575 0.489 0.358 -0.104 -0.138 0 0 0 0 0 0 0 0 0 0 0 0 0 1.591 1.563 1.446 1.247 0.83 0.012 -0.135 0 0 0 0 0 0 0 0 0 0 0 0 0 1.588 1.576 1.545 1.486 1.15 0.058 -0.134 0 0 0 0 0 0 0 0 0 0 0 0 0
-7_CSA 7_CSA 3.188 2.966 2.553 1.815 1.041 0.358 0.016 0 0 0 0 0 0 0 0 0 0 0 0 0 3.47 3.198 2.746 2.03 1.174 0.415 0.015 0 0 0 0 0 0 0 0 0 0 0 0 0 3.868 3.788 3.435 2.736 1.545 0.55 0.014 0 0 0 0 0 0 0 0 0 0 0 0 0 3.757 3.689 3.46 2.86 1.777 0.606 0.014 0 0 0 0 0 0 0 0 0 0 0 0 0
-8_CSA 8_CSA -0.222 -0.14 -0.09 -0.033 0.007 0.061 0.006 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.044 -0.039 -0.046 -0.04 -0.025 0.025 0.005 0 0 0 0 0 0 0 0 0 0 0 0 0 0.094 0.046 0.012 -0.001 -0.031 -0.005 0.003 0 0 0 0 0 0 0 0 0 0 0 0 0 0.236 0.169 0.073 -0.014 -0.018 -0.006 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0
-9_AFR 9_AFR -1.897 -1.691 -1.205 -0.74 -0.36 -0.233 -0.039 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.491 -1.348 -1.093 -0.797 -0.516 -0.297 -0.039 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.304 -1.28 -1.212 -1.124 -0.87 -0.45 -0.038 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.167 -1.174 -1.185 -1.167 -1.097 -0.519 -0.038 0 0 0 0 0 0 0 0 0 0 0 0 0
-10_AFR 10_AFR 0.237 0.091 0.064 0.176 0.131 -0.105 -0.012 0 0 0 0 0 0 0 0 0 0 0 0 0 0.555 0.43 0.217 0.127 0.077 -0.132 -0.011 0 0 0 0 0 0 0 0 0 0 0 0 0 0.714 0.651 0.504 0.188 -0.004 -0.182 -0.009 0 0 0 0 0 0 0 0 0 0 0 0 0 0.736 0.692 0.622 0.294 0.032 -0.222 -0.009 0 0 0 0 0 0 0 0 0 0 0 0 0
-11_MID 11_MID 1.13 0.898 0.637 0.29 -0.085 -0.21 -0.081 0 0 0 0 0 0 0 0 0 0 0 0 0 1.045 0.871 0.634 0.233 -0.121 -0.235 -0.078 0 0 0 0 0 0 0 0 0 0 0 0 0 0.83 0.706 0.482 0.196 -0.214 -0.289 -0.075 0 0 0 0 0 0 0 0 0 0 0 0 0 0.631 0.531 0.373 0.198 -0.264 -0.317 -0.074 0 0 0 0 0 0 0 0 0 0 0 0 0
-12_MID 12_MID -0.81 -0.841 -0.864 -0.426 0.135 0.245 0.043 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.765 -0.761 -0.74 -0.294 0.191 0.304 0.041 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.932 -0.869 -0.773 -0.314 0.342 0.399 0.037 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.003 -0.989 -0.815 -0.322 0.444 0.449 0.036 0 0 0 0 0 0 0 0 0 0 0 0 0
+1_EUR 1_EUR -0.008 -0.053 -0.008 0.215 0.348 0.332 0.112 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.107 -0.09 0.08 0.337 0.38 0.38 0.111 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.378 -0.255 -0.023 0.315 0.471 0.436 0.109 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.714 -0.603 -0.274 0.233 0.502 0.471 0.108 0 0 0 0 0 0 0 0 0 0 0 0 0
+2_EUR 2_EUR -0.746 -0.639 -0.564 -0.589 -0.471 -0.312 -0.152 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.865 -0.829 -0.758 -0.649 -0.496 -0.306 -0.15 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.879 -0.892 -0.844 -0.734 -0.599 -0.336 -0.147 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.582 -0.635 -0.667 -0.683 -0.641 -0.365 -0.147 0 0 0 0 0 0 0 0 0 0 0 0 0
+3_EAS 3_EAS -1.569 -1.274 -0.756 -0.217 -0.097 -0.038 -0.013 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.341 -1.103 -0.636 -0.158 -0.112 -0.07 -0.015 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.972 -0.773 -0.379 0.039 -0.032 -0.087 -0.017 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.46 -0.342 -0.157 0.122 0.075 -0.081 -0.018 0 0 0 0 0 0 0 0 0 0 0 0 0
+4_EAS 4_EAS 0.061 0.136 0.202 0.208 -0.023 -0.095 -0.047 0 0 0 0 0 0 0 0 0 0 0 0 0 0.327 0.415 0.426 0.261 -0.097 -0.16 -0.048 0 0 0 0 0 0 0 0 0 0 0 0 0 0.323 0.384 0.455 0.353 -0.024 -0.24 -0.051 0 0 0 0 0 0 0 0 0 0 0 0 0 0.469 0.492 0.412 0.362 0.036 -0.253 -0.051 0 0 0 0 0 0 0 0 0 0 0 0 0
+5_AMR 5_AMR -0.068 0.038 0.198 0.185 0.101 -0.107 -0.126 0 0 0 0 0 0 0 0 0 0 0 0 0 0.112 0.117 0.265 0.249 0.17 -0.115 -0.124 0 0 0 0 0 0 0 0 0 0 0 0 0 0.783 0.806 0.766 0.642 0.369 -0.107 -0.122 0 0 0 0 0 0 0 0 0 0 0 0 0 1.137 1.202 1.199 1.058 0.608 -0.11 -0.121 0 0 0 0 0 0 0 0 0 0 0 0 0
+6_AMR 6_AMR 0.506 0.409 0.31 0.228 0.155 -0.184 -0.142 0 0 0 0 0 0 0 0 0 0 0 0 0 0.791 0.707 0.568 0.481 0.349 -0.109 -0.139 0 0 0 0 0 0 0 0 0 0 0 0 0 1.587 1.558 1.44 1.237 0.819 0.007 -0.135 0 0 0 0 0 0 0 0 0 0 0 0 0 1.585 1.571 1.54 1.478 1.137 0.051 -0.135 0 0 0 0 0 0 0 0 0 0 0 0 0
+7_CSA 7_CSA 3.169 2.951 2.538 1.801 1.026 0.339 0.015 0 0 0 0 0 0 0 0 0 0 0 0 0 3.46 3.188 2.733 2.018 1.158 0.397 0.014 0 0 0 0 0 0 0 0 0 0 0 0 0 3.863 3.78 3.426 2.721 1.528 0.531 0.013 0 0 0 0 0 0 0 0 0 0 0 0 0 3.753 3.683 3.452 2.848 1.76 0.586 0.013 0 0 0 0 0 0 0 0 0 0 0 0 0
+8_CSA 8_CSA -0.215 -0.132 -0.083 -0.024 0.017 0.073 0.006 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.039 -0.032 -0.04 -0.029 -0.013 0.036 0.004 0 0 0 0 0 0 0 0 0 0 0 0 0 0.098 0.051 0.019 0.01 -0.017 0.009 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0 0.24 0.174 0.079 -0.005 -0.002 0.009 0.001 0 0 0 0 0 0 0 0 0 0 0 0 0
+9_AFR 9_AFR -1.881 -1.675 -1.187 -0.727 -0.353 -0.219 -0.038 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.482 -1.337 -1.078 -0.784 -0.507 -0.284 -0.038 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.3 -1.274 -1.206 -1.116 -0.859 -0.435 -0.037 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.164 -1.171 -1.182 -1.161 -1.085 -0.503 -0.037 0 0 0 0 0 0 0 0 0 0 0 0 0
+10_AFR 10_AFR 0.258 0.106 0.079 0.187 0.137 -0.093 -0.011 0 0 0 0 0 0 0 0 0 0 0 0 0 0.563 0.439 0.227 0.135 0.084 -0.122 -0.01 0 0 0 0 0 0 0 0 0 0 0 0 0 0.717 0.653 0.508 0.192 0.001 -0.172 -0.008 0 0 0 0 0 0 0 0 0 0 0 0 0 0.738 0.693 0.624 0.297 0.036 -0.212 -0.007 0 0 0 0 0 0 0 0 0 0 0 0 0
+11_MID 11_MID 1.13 0.898 0.635 0.284 -0.09 -0.219 -0.082 0 0 0 0 0 0 0 0 0 0 0 0 0 1.048 0.873 0.633 0.23 -0.12 -0.235 -0.079 0 0 0 0 0 0 0 0 0 0 0 0 0 0.833 0.708 0.483 0.198 -0.209 -0.285 -0.076 0 0 0 0 0 0 0 0 0 0 0 0 0 0.633 0.532 0.374 0.2 -0.261 -0.312 -0.075 0 0 0 0 0 0 0 0 0 0 0 0 0
+12_MID 12_MID -0.817 -0.844 -0.866 -0.433 0.125 0.235 0.043 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.77 -0.764 -0.744 -0.299 0.184 0.295 0.04 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.933 -0.872 -0.775 -0.318 0.336 0.391 0.036 0 0 0 0 0 0 0 0 0 0 0 0 0 -1.005 -0.991 -0.816 -0.324 0.441 0.442 0.035 0 0 0 0 0 0 0 0 0 0 0 0 0
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS_2025-04-06_17-34-15.log b/pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS_2025-07-16_12-47-08.log
similarity index 69%
rename from pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS_2025-04-06_17-34-15.log
rename to pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS_2025-07-16_12-47-08.log
index 4a0a07aa..ca31d275 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS_2025-04-06_17-34-15.log
+++ b/pipeline/misc/dev/test_data/output/example_plink2/pgs/TRANS_2025-07-16_12-47-08.log
@@ -3,20 +3,20 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter  Value                                                                    
- config     /scratch_tmp/prj/oliverpainfel/tmp/config.yaml                           
- name       example_plink2                                                           
- population TRANS                                                                    
- plink2     plink2                                                                   
- n_cores    1                                                                        
- test       chr22                                                                    
- memory     5000                                                                     
- help       FALSE                                                                    
- output     /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/TRANS
+ Parameter  Value                                                                
+ config     /scratch/prj/oliverpainfel/tmp/config.yaml                           
+ name       example_plink2                                                       
+ population TRANS                                                                
+ plink2     plink2                                                               
+ n_cores    1                                                                    
+ test       chr22                                                                
+ memory     5000                                                                 
+ help       FALSE                                                                
+ output     /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/pgs/TRANS
 ---------------
-Analysis started at 2025-04-06 17:34:14
+Analysis started at 2025-07-16 12:47:07
 After checking timestamps, 3/3 score files will be used for target scoring.
 ########################
 Processing chromosome 22:
@@ -26,5 +26,5 @@ Reading in ancestry adjustment models.
 Reading in target reference-projected PCs.
 Adjusting target PGS for ancestry.
 Saved polygenic scores.
-Analysis finished at 2025-04-06 17:34:16 
-Analysis duration was 1.44 secs 
+Analysis finished at 2025-07-16 12:47:10 
+Analysis duration was 2.13 secs 
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/reports/example_plink2-report.html b/pipeline/misc/dev/test_data/output/example_plink2/reports/example_plink2-report.html
index e98371a1..10aaa40d 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/reports/example_plink2-report.html
+++ b/pipeline/misc/dev/test_data/output/example_plink2/reports/example_plink2-report.html
@@ -3978,14 +3978,14 @@ <h1>Ancestry</h1>
 reference population with a probability &gt;50%.</li>
 <li>The number of individuals assigned to each population were:</li>
 </ul>
-<div id="htmlwidget-3f823656ed6503236917" style="width:35%;height:auto;" class="datatables html-widget "></div>
-<script type="application/json" data-for="htmlwidget-3f823656ed6503236917">{"x":{"filter":"none","vertical":false,"data":[["AFR","AMR","CSA","EAS","EUR","MID","Unassigned"],[2,0,1,2,5,0,2]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Population<\/th>\n      <th>N<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
+<div id="htmlwidget-baf9ed0c6db60c662ebf" style="width:35%;height:auto;" class="datatables html-widget "></div>
+<script type="application/json" data-for="htmlwidget-baf9ed0c6db60c662ebf">{"x":{"filter":"none","vertical":false,"data":[["AFR","AMR","CSA","EAS","EUR","MID","Unassigned"],[2,0,1,2,5,0,2]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Population<\/th>\n      <th>N<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
 <p></br></p>
 <details>
 <summary>
 Show principal component plots
 </summary>
-<p><img 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/><strong>Target
+<p><img 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/><strong>Target
 Principal Component Scores Compared to Reference
 Populations.</strong></p>
 <p><strong>Note.</strong> Black circles indicate target sample
@@ -4004,18 +4004,18 @@ <h1>Polygenic Scores</h1>
 <hr />
 <div id="gwas-summary-statistics" class="section level2">
 <h2>GWAS summary statistics</h2>
-<div id="htmlwidget-563055388d27e3360d91" style="width:100%;height:auto;" class="datatables html-widget "></div>
-<script type="application/json" data-for="htmlwidget-563055388d27e3360d91">{"x":{"filter":"none","vertical":false,"data":[["BODY04"],["Body Mass Index"],["EUR"],[885],[841]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Name<\/th>\n      <th>Label<\/th>\n      <th>Population<\/th>\n      <th>NSNP Original<\/th>\n      <th>NSNP Final<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
+<div id="htmlwidget-bd5376a30256ef93dbee" style="width:100%;height:auto;" class="datatables html-widget "></div>
+<script type="application/json" data-for="htmlwidget-bd5376a30256ef93dbee">{"x":{"filter":"none","vertical":false,"data":[["BODY04"],["Body Mass Index"],["EUR"],[885],[841]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Name<\/th>\n      <th>Label<\/th>\n      <th>Population<\/th>\n      <th>NSNP Original<\/th>\n      <th>NSNP Final<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
 <hr />
 <details>
 <summary>
 Show GWAS header interpretations
 </summary>
 <p><strong>BODY04</strong></p>
-<div id="htmlwidget-79219dfd19cc06805c04" class="datatables html-widget" style="width:50%;height:auto;">
+<div id="htmlwidget-0d914add95bfef4a45bd" class="datatables html-widget" style="width:50%;height:auto;">
 
 </div>
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+<script type="application/json" data-for="htmlwidget-0d914add95bfef4a45bd">{"x":{"filter":"none","vertical":false,"data":[["SNP","A1","A2","P","BETA","SE","N"],["RSID for variant","Allele 1 (effect allele)","Allele 2","P-value of association","BETA effect size","Standard error of log(OR) or BETA","Total sample size"]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Header<\/th>\n      <th>Interpretation<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
 <hr />
 <p><strong>Note.</strong> Columns that were dropped are not shown
 here.</p>
@@ -4024,8 +4024,8 @@ <h2>GWAS summary statistics</h2>
 </div>
 <div id="score-files" class="section level2">
 <h2>Score files</h2>
-<div id="htmlwidget-ed05371d5a78b927cf83" style="width:100%;height:auto;" class="datatables html-widget "></div>
-<script type="application/json" data-for="htmlwidget-ed05371d5a78b927cf83">{"x":{"filter":"none","vertical":false,"data":[["PGS002804"],["Height Yengo EUR"],[708],[708],[true]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Name<\/th>\n      <th>Label<\/th>\n      <th>NSNP Original<\/th>\n      <th>NSNP Final<\/th>\n      <th>Pass<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
+<div id="htmlwidget-4612205fc18604c456bb" style="width:100%;height:auto;" class="datatables html-widget "></div>
+<script type="application/json" data-for="htmlwidget-4612205fc18604c456bb">{"x":{"filter":"none","vertical":false,"data":[["PGS002804"],["Height Yengo EUR"],[708],[708],[true]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Name<\/th>\n      <th>Label<\/th>\n      <th>NSNP Original<\/th>\n      <th>NSNP Final<\/th>\n      <th>Pass<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
 <p><strong>Note.</strong> The <code>Pass</code> column indicates whether
 a sufficient number of variants within the score file were present in
 the reference data.</p>
@@ -4041,7 +4041,7 @@ <h2>PGS correlation</h2>
 <summary>
 Show reference PGS correlation matrix
 </summary>
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" 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" /></p>
 <p><strong>Note.</strong> Plot shows correlation between pseudovalidated
 PGS across all populations, adjusted for ancestry.</p>
 </details>
@@ -4056,21 +4056,21 @@ <h2 class="tabset tabset-fade">PGS Distribution</h2>
 <div id="lassosum" class="section level3">
 <h3>lassosum</h3>
 <div class="float">
-<img 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" alt="Density plot of PGS from lassosum" />
+<img 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" alt="Density plot of PGS from lassosum" />
 <div class="figcaption">Density plot of PGS from lassosum</div>
 </div>
 </div>
 <div id="ptclump" class="section level3">
 <h3>ptclump</h3>
 <div class="float">
-<img 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" alt="Density plot of PGS from ptclump" />
+<img 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CD0JMxfyV69evXt2/fBgwdOTk49evTo27evm5tb3759eVPtkuwj1Js3bwgh7dq109LS4ttEh8yr8wXSke+0tLSEJmjS0tLIf80hyX/tj1q0aEFfsLwcHR3FXwIAAAAIQvsdmRoyZMjl/9y8efPJkyd5eXlPnjzh/WbCjNPRvHlzoSfR1dWlH7JzcnIEt4o6ilkv9KgGUV5e/s033wwYMODIkSPR0dEFBQV8yR1CiNBp2murnrdIR0dHcCXTWECwzsqOmXKIr4MVzSP8888/9Rx1Ozg4OCkpKTk5ubS09Pbt21ZWVpcuXRo7dqz0egLKRYsWLQghycnJdLSsOhw+YsSI33//PT4+fsWKFYSQsLAwpvkeIeTWrVvp6ekqKip8o2YMHz7cyMiosrKSDizVNGVnZ1+7do0IJL/Mzc0HDRpExLZvMjAwGDBgwIoVKx48eHD9+nVVVdW8vLz169dLucoKSlVVlS7wtXhi0MebzRby28+mTZuSkpKSkpIKCgpiYmL69OkTHR09YMAA6f1NkRd6l0TdIiL6LgltKkX/uPAOoTV+/PiAgID27dufPXuWzjXJ5XK5XC7to828YVgs1o0bN37++WcrK6vnz5//8ccfI0eONDMz8/X1ZaZ6lGQfoegvGYJZFVErJb/AvLw8QkhJSclxYWgL2dLSUt5qCP1TLurvOwAAAIiB/I5M2djYjPzPkCFDXF1dhXYvosSMaEC/OddqyAMZfNletGgR7Qc0fPjwK1eufPjwoaSkpKamhn5ypX3pG7YaDXuLGqWoqKjIyEhCyL59+/hG5fjxxx8Jzzfn+mOxWIMGDbp27Rqbzb59+/bx48cb5LQKgrZTKC8v55vgprZYLNaGDRvMzMwIIQ8fPmTW0wwFh8OxsrLiG/aIJjQbaxctSTBZSF9fX77HmE4CfevWLb7xeoQaOnToyJEjyf/e+SaFadYhqiklXf/F1h+Ojo43b96kEz8tWbKkYSspd/TyRd0iLpdLU1pfvEtCvXv3LjAwUEVF5c6dO2PHjrW2tmZGqBEsUVdXd/369R8/fkxISPD39588ebK6uvrZs2cHDx7MO3nZF/cRREf/4ZvKihK6UnI0B+Tg4MAVjUmw0mpkZGQInkfoSgAAABAP+R2Fw3QUEvV1pbi4uKSkhBBCJ1PnI+ojUWZmJt/5yX+/UoqamqdWXVEKCgro6CHjx4+/evXqiBEjbGxstLW1mXYx9De9BlHPW9Sk0KSAhoZGc2FoU6aGnX67a9eudPiGX375hXbXahzc3d1tbGwIIVu2bKnnqVRUVGhrIGZE0oyMjFu3bhFCjI2Nhf5LEUJiY2NfvHhRz6KVFH1E9fT0hN4cNTU1pnfbF9HxSngHu21SWrZsSaOeGeSFDx2Cmg6XJp6ent4ff/xBCPH396ddchoNZrQ4oc054+Pj6d8XSe6S0MMJIba2ti1btuTb9PTpU1FH2dnZTZo06fjx45GRkdra2q9evRKcPUCSfRi0p9Xbt28F39L1HCavc+fOhJA3b95I0h2b3sPU1FTBntENNdsmAABAk4L8jsLp1KkTXXj27JnQHZj19FMUH1HfAOls4rznJ//9dFZWVia021StPl1FR0fTVuV0YiY+BQUFCQkJguvr1r6mnreo6aioqDh58iQhZPXq1Z+FOXXqFCEkICBAwjFQJPTLL79oaWmlpaXt27evAU8rX2w2+7fffiOE3L59+/fffxe1299//x0TE0MISUtLY/og8ElLS6PB1a5dO7qGjhDcrFmzjx8/Cv2XouMZNc0mPC9evKC3NCAgQOjNocO4MmnKkpISUT1Tampq7t27R3jufFPDZrNpj7aDBw8K9jRMSUmhU54PHTpUkrONHj3aycmJy+WuXr26wasqR3QCqZycnLNnzwpu3b17NyHExMSEGQe9VmhrnaysLL7k0YULF969e/fFw9u2bUsTQ2K6X0myT48ePUxMTMrLy0+cOMG36cCBA1+shhguLi62trY1NTXM3KBidO/e3czMrKqq6u+//+bbtGPHjvpUAwAAoGlCfkfhtG/fns5lfu7cOaHNpJnPXp6enoJb/f39BdvjVFRU0G/y1tbWvF9saHsEQsjz588FT0VnI5YQ8xug0FTRwYMHhf4QyozsWKuf0+t5i5qOS5cu5eXlqaqqTp48WegOQ4YMad68OTPzdEOxsLCgk6Fs2rRJVI5DGU2cOJFe108//TR8+PAHDx4w35Dz8vLOnDnTo0ePefPm0Vi4c+dOq1atli5d+vTpU+bxrqqqunz5sqenZ0VFhZaWFjPUDs1N+Pr6Co51StH5zs6cOdOY7qeEaFarQ4cOouZLnjZtGiHkzZs3tOtcVlaWjY3NxIkTb968yUxSxuVyX7x4MXz4cNrSpClP+fTzzz+rq6vHxsaOGDHi9evXdCWHw7l//76Xl1dZWVmLFi1mzpwpyalYLNbatWsJIVevXo2IiJBipWWrU6dOo0ePJoTMnj37yJEjzB+1rKysFStW0EzETz/9xDeimYR69OihpaWVn5+/ZMkS5gVy/fr1adOm8YX/sWPH1q9fz5v04XA4x48ff/v2LYvF6tatm4T7CKWurk471i1ZsiQwMJCurK6uXrNmDW1LWGcqKip//vkni8XasWPH0qVLmfHyCCEVFRUBAQFjx45lPg+oqanRnsLr1q2jfS0JIVVVVStXrhTTmgkAAABEQX5H4bBYrIULFxJCcnJy5s6dy5esOXPmzPnz5wkhdKJfwcNfvXq1ceNGvpXLly9PSUkhhHz33Xe8TWb69u1LFzZu3MhX0KZNm5gZTCXBzLV07NgxvkF2nj59KurXXSsrK7ogtHWPKPW8RU0H/WLs5eXF3Gc+bDabphiOHDnSsEMjrVixQltbOyMjQ/BXWaW2d+/ejRs3ampqXr9+3cPDQ0dHx8LCwtjY2MjIaPz48aGhoW5ubjT5qKqqmp2dvW3bNjc3N11dXUtLSwsLC01NTR8fn7i4OB0dnZMnT7Zu3ZoQ8vjxYzqXDc1TCOXn56ehoVFYWEif7UYjPT3dRASagiktLT1z5gz5L8MlVMeOHen3WPrAq6ioVFZWnjx5cujQoYaGhmZmZtbW1pqamj179rx16xaLxVq5cuW4ceNkdYmys3jxYlE3k/f7v7Oz8z///KOlpXX79m1HR0djY+PWrVvr6+v379//zZs3LVq0uHbtmpgRdvkMHz6c3vxVq1ZJ5ark5PDhw/369SsuLp4+fXqzZs2sra0tLS2bN2++efNmQsi8efPqPHt3s2bNaEvAnTt3WlhY9OrVq1WrVsOHD+/cufP06dN59/z8+fOvv/7atm1bc3Pznj179urVy8LCYurUqVwud82aNfSnGkn2EWXp0qXDhw8vLCz09va2s7Nzc3MzNzf/7bfftm3bRndgRuOurWHDhh06dEhDQ2Pbtm1mZmaOjo6urq729vZ6enqDBg06f/4875+bxYsX+/j4lJSUDB06tE2bNm5ubvQ+M9UAAAAAySG/o4gWLlxIpzM/depUnz59zpw5Ex4efufOnVmzZvn5+RFCNDQ0Dh06JPTYbt26/frrr+PGjQsICHj16tWNGzeGDh26c+dOQoijoyPfR9IOHToMHDiQEHLnzp2BAweePXv2/v37/v7+3t7eK1eupJsk1Lp16z59+hBC/v33X29v76tXr758+fL+/fuLFy/u16+fjo6O0Mm2nZ2d6ViMv/3225UrV2JjY+Pj4+Pj4/Pz86V3i5qIpKSkoKAgIjZrwGxNTEy8f/9+A5ZuZmZGe8388ccftZ1TXMGtXLnyw4cPa9eu7dOnj5GRUU5OTmVlpYODw8yZM4OCgkJCQujYyZMmTYqOjv7jjz+8vLzMzc1zc3NzcnKMjIzc3NxWrVr19u3bUaNG0RPSrISjo2OPHj1EFWpkZESnt29kXbQ4HE6OCLRp3vnz5wsLC8W0QaPoY3z+/PmioiJra+u0tLRDhw6NGTPGzs6OdtfS1NTs0qXLd999FxYWJpgBbxyKi4tF3Uy+qaDGjh37+vXrJUuWdOnSpbq6Oi0tTUNDo3fv3ps3b46JiaGdASVHsxU3b94U2g5USenr69+5c+f06dPDhg0zNTXNyMjIz8+n7cIePny4e/fu+gzev3Tp0tOnT/fo0aO0tDQmJsbAwGDDhg1BQUHMQMvU+PHjt2zZMnjwYG1t7djY2IiICHV19dGjR9+7d4/JpkmyjyhsNvvSpUt//fVXly5d0tLS4uLinJycbt++PWHCBOYm1Pkap02bFhcX98MPPzg4OKSkpERGRpaXl7u6uq5ZsyYiIoJ36jFVVdVz587t2bPHyckpPT09Li6ua9eut2/fbsqN7AAAAOqM1cjmMFZMz549ow1J5s2bR7vuf1FOTs7IkSOFztRjZGR08eJFDw8P3pW7d+9esGABISQiImLWrFl0jExe7dq1u3fvHh3VlVdiYuJXX30lOPyKj4/PmjVr6Pg1R48e5Z2W+MKFC2PGjCGEPH36tFevXsz69+/f9+3bNy0tje9UJiYmly9fXrFiRUhISM+ePfkGzVm7du2aNWv4Dtm1axfNDogqi9TjFiUmJtJ2E3zo5/UlS5Zs3bpVcKsYGzZs+OWXXwghhdcva2mo1+pYCc3ZsevwrX9NTU2ZcbIbpYqKCtrlYd68frNmfyWNIpKTc4YP200IOX78uPiUQSMwf/78PXv2aOjprHjVMFOkCTo9/ee3Qc86d+7cyEbY5ZOUlER7sw5bt6/raHEJ0zpLDn14bPJAQkhgYGBT6Fg6evToixcvtm3RLmJftJSK6LvYLSIh3MvLKyAgQEpFNEqPHz/u06ePpaWl4F9z+H/t3T9Io3cYB/AEifEPKP6JKFkURRzERQQHnZzcBQV3l4Yb1EE7KA6CoNJF6FKogkeXc5Eb2k5i3coZUW4QXM7iwVHxLycVz0uHQDlObU97SXzj5zMnz/PLu4R83+fNAwCPnPmdR6qqqmp9fT1987Curi4SiVRUVHR0dExNTe3t7X2WXHyqoqJiY2Njdna2vb29vLy8pKSkra1tenp6a2vrZrgTCoUaGho2NzeHh4ebmpqi0WhlZWV3d/fS0tLKykokErnXmRsbG5PJ5MjISHNzczQaLSsra21tHRsb29nZ6erquutdk5OTy8vLPT091dXVn97T+08PvkQAwK3SQ4K+QwEgiO7xc5oH6+zsfMCcVDgcHhgYuHUd1b+LRqOjo6Ojo6Nf+PpYLDY/P3/zWfeWlpZbj93X13fXx4nFYnNzc7fOv9w6aJM2ODiYfqjqXr1C97xEiUQiPRN0F7NsADwdMzMz/f39/2xauLy8nJ2dXVxcDIfD6XFXACBY5DsAAE/OwsLC+Ph4PB5vaGhIpVLb29vn5+ehUGhmZuazB6IBgECQ7wAAPDkTExOrq6s7OzvJZPLq6qqmpqa3tzeRSKS3JQAAgSPfAQB4coaGhqypAoB8It+Br2bxl18j9/mL6C+3u/9HJso+Wq9fv33x4lUmKh8dvc9E2cfs+urDq59eZqj46dt8Xuh205vff0t9/JiJykdv9jJR9pE7e3/6488/ZKj44emfGaoMAPA4yXfgq3m28H2uj5An1tZ219Z2c32KPPHhr8uX336X61Pkie3V59urz3N9ivzx7vjds4Vvcn0KAIA8YT96nkgkEqlUKpVK1dfX5/osAAAAQFaF7YSG/+ns7Ozk5CQLjQoKCuLxeBYa5dD+/n52GlVVVZWWlmanV64cHx+nt+FkWmFhYW1tbRYa5cr19fXBwUF2etXU1BQVFWWnVw4dHh5eXFxkoVFxcXEsFstCIwCAnJPvAAAAAASb57MAAAAAgk2+AwAAABBs8h0AAACAYJPvAAAAAASbfAcAAAAg2OQ7AAAAAMEm3wEAAAAINvkOAAAAQLDJdwAAAACCTb4DAAAAEGzyHQAAAIBgk+8AAAAABJt8BwAAACDY5DsAAAAAwSbfAQAAAAi2vwHwbn0rl/PTwgAAAABJRU5ErkJggg==" alt="Density plot of PGS from ptclump" />
 <div class="figcaption">Density plot of PGS from ptclump</div>
 </div>
 </div>
 <div id="external" class="section level3">
 <h3>external</h3>
 <div class="float">
-<img 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" alt="Density plot of PGS from external" />
+<img 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" alt="Density plot of PGS from external" />
 <div class="figcaption">Density plot of PGS from external</div>
 </div>
 </div>
@@ -4081,7 +4081,7 @@ <h2 class="unnumbered"></h2>
 PGS.</p>
 <hr />
 <hr />
-<p>This report was created using GenoPred (v2.2.2-258-gd2f2a91).</p>
+<p>This report was created using GenoPred (v2.2.2-312-g61d3a33).</p>
 </div>
 </div>
 
diff --git a/pipeline/misc/dev/test_data/output/example_plink2/reports/individual/example_plink2-4_EAS.4_EAS-report.html b/pipeline/misc/dev/test_data/output/example_plink2/reports/individual/example_plink2-4_EAS.4_EAS-report.html
index db28e385..68fe437b 100644
--- a/pipeline/misc/dev/test_data/output/example_plink2/reports/individual/example_plink2-4_EAS.4_EAS-report.html
+++ b/pipeline/misc/dev/test_data/output/example_plink2/reports/individual/example_plink2-4_EAS.4_EAS-report.html
@@ -4001,18 +4001,18 @@ <h1>Polygenic Scores</h1>
 <hr />
 <div id="gwas-summary-statistics" class="section level2">
 <h2>GWAS summary statistics</h2>
-<div id="htmlwidget-f25650ed65f8442e3866" style="width:100%;height:auto;" class="datatables html-widget "></div>
-<script type="application/json" data-for="htmlwidget-f25650ed65f8442e3866">{"x":{"filter":"none","vertical":false,"data":[["BODY04"],["Body Mass Index"],["EUR"],[885],[841]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Name<\/th>\n      <th>Label<\/th>\n      <th>Population<\/th>\n      <th>NSNP Original<\/th>\n      <th>NSNP Final<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
+<div id="htmlwidget-2414a050c1a42d5e34e6" style="width:100%;height:auto;" class="datatables html-widget "></div>
+<script type="application/json" data-for="htmlwidget-2414a050c1a42d5e34e6">{"x":{"filter":"none","vertical":false,"data":[["BODY04"],["Body Mass Index"],["EUR"],[885],[841]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Name<\/th>\n      <th>Label<\/th>\n      <th>Population<\/th>\n      <th>NSNP Original<\/th>\n      <th>NSNP Final<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
 <hr />
 <details>
 <summary>
 Show GWAS header interpretations
 </summary>
 <p><strong>BODY04</strong></p>
-<div id="htmlwidget-32d84a85a55cf832a50e" class="datatables html-widget" style="width:50%;height:auto;">
+<div id="htmlwidget-ec9cb26d931dc2de2d22" class="datatables html-widget" style="width:50%;height:auto;">
 
 </div>
-<script type="application/json" data-for="htmlwidget-32d84a85a55cf832a50e">{"x":{"filter":"none","vertical":false,"data":[["SNP","A1","A2","P","BETA","SE","N"],["RSID for variant","Allele 1 (effect allele)","Allele 2","P-value of association","BETA effect size","Standard error of log(OR) or BETA","Total sample size"]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Header<\/th>\n      <th>Interpretation<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
+<script type="application/json" data-for="htmlwidget-ec9cb26d931dc2de2d22">{"x":{"filter":"none","vertical":false,"data":[["SNP","A1","A2","P","BETA","SE","N"],["RSID for variant","Allele 1 (effect allele)","Allele 2","P-value of association","BETA effect size","Standard error of log(OR) or BETA","Total sample size"]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Header<\/th>\n      <th>Interpretation<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
 <hr />
 <p><strong>Note.</strong> Columns that were dropped are not shown
 here.</p>
@@ -4021,8 +4021,8 @@ <h2>GWAS summary statistics</h2>
 </div>
 <div id="score-files" class="section level2">
 <h2>Score files</h2>
-<div id="htmlwidget-196605182c8b85934d98" style="width:100%;height:auto;" class="datatables html-widget "></div>
-<script type="application/json" data-for="htmlwidget-196605182c8b85934d98">{"x":{"filter":"none","vertical":false,"data":[["PGS002804"],["Height Yengo EUR"],[708],[708],[true]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Name<\/th>\n      <th>Label<\/th>\n      <th>NSNP Original<\/th>\n      <th>NSNP Final<\/th>\n      <th>Pass<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
+<div id="htmlwidget-b49efdedb785acf7dff8" style="width:100%;height:auto;" class="datatables html-widget "></div>
+<script type="application/json" data-for="htmlwidget-b49efdedb785acf7dff8">{"x":{"filter":"none","vertical":false,"data":[["PGS002804"],["Height Yengo EUR"],[708],[708],[true]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th>Name<\/th>\n      <th>Label<\/th>\n      <th>NSNP Original<\/th>\n      <th>NSNP Final<\/th>\n      <th>Pass<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"dom":"t","ordering":false,"columnDefs":[{"className":"dt-center","targets":"_all"}],"scrollX":true,"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script>
 <p><strong>Note.</strong> The <code>Pass</code> column indicates whether
 a sufficient number of variants within the score file were present in
 the reference data.</p>
@@ -4038,7 +4038,7 @@ <h2>PGS correlation</h2>
 <summary>
 Show reference PGS correlation matrix
 </summary>
-<p><img 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" 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" /></p>
 <p><strong>Note.</strong> Plot shows correlation between pseudovalidated
 PGS across all populations, adjusted for ancestry.</p>
 </details>
@@ -4123,7 +4123,7 @@ <h3 class="tabset tabset-fade">Method: lassosum</h3>
 1
 </td>
 <td style="text-align:center;">
-0.058
+0.061
 </td>
 <td style="text-align:center;">
 NA
@@ -4145,11 +4145,11 @@ <h3 class="tabset tabset-fade">Method: lassosum</h3>
 <div id="gwas-body-mass-index" class="section level4 tabset tabset-fade">
 <h4 class="tabset tabset-fade">GWAS: Body Mass Index</h4>
 <center>
-<p><img 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" 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" width="600" /></p>
 </center>
 <ul>
-<li><p>Your PGS Z-score for Body Mass IndexBody Mass Index is 0.058
-which is higher than 52.3% of other EAS individuals.</p></li>
+<li><p>Your PGS Z-score for Body Mass IndexBody Mass Index is 0.061
+which is higher than 52.4% of other EAS individuals.</p></li>
 <li><p>Assuming the PGS explains 0% of the variance in Body Mass Index,
 and the mean and SD of Body Mass Index in the general population is 0
 and 1 respectively, on average people with your PGS have a Body Mass
@@ -4260,7 +4260,7 @@ <h3 class="tabset tabset-fade">Method: pT+clump</h3>
 <div id="gwas-body-mass-index-1" class="section level4 tabset tabset-fade">
 <h4 class="tabset tabset-fade">GWAS: Body Mass Index</h4>
 <center>
-<p><img 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" 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Mlga2vbqlUr1dvahFonn6zeE5s0WNQ9QV4oc3Pz06dPr1+/XjVwT6FJkyaffPLJmTNnmF/3REVFqX4YOnXqpJi+WpO9vf2FCxciIiJUKUFBQWfPnlVdZbJYLNUIQTMzs5MnT27durXivP0+Pj6zZ88eNWoUw8CqxOVyf/755507d+pM5GxlZaUzyr2iBQsWrFixolu3bjpTBLLZ7B49evz555/jxo2r7obq8EMx3mFs0aLFwoUL4+LiVBN1GDZhwgRfX1+d/ngHB4fZs2frPKFj+/btqv6CuhUdHb1s2TJVl42VldXKlSs3btyoymBmZnb8+HHVMyMAdO7c+dKlS6o7VHVUN9Q6/GQJUWDJaTQsqZ2srCxVZ3OjRo38/f0ZrpiSkqKaDL9p06YVMyQlJT179kzxukOHDjoDAIuKitzc3BSdu19//fW0adMq29Dz58+TkpJcXFy8vb1TU1MDAgIUQ9KCg4Mrjm8A8N9//6WkpEgkkkaNGrm7u6smgTAcVXx8fFpamuJ1ly5dFF/HhncBQHZ2dlJSkkgkcnZ29vLyMjC7n46ysrKkpKTMzEyJRGJjY+Pt7a36cdKL4YZq+aFoMnwY9dI8lwBwOBxzc3N7e3sPDw8De2cgJKFQmJGRkZ2dLZPJXFxcmjdvXlkLREpKSkpKimoqpB49erDZbMM7q3dpxcTi4uJHjx7JZDJ/f//KRlMmJCT8999/Hh4eil/3Bw8eZGVlKRZVbCqoQaioxSer98QmDRZVGshLprS09P79+0Kh8Msvv1RMNejg4JCSkqL3R6Vz584hISEhISGKvv/Y2Ngvv/xSNShyz549EyZMeKHRE0LIy4wGQpKXTEpKSkhIiGbK6tWrK7sMTUtLu379ut5F06dPpxoDIYRUC41pIC8xGxubtWvXzpw5s7IMAwcO1JkwkcPhhIaGHjly5KuvvjJ+gIQQ8kqh7glCCCGEMEItDYQQQghhhCoNhBBCCGGEKg2EEEIIYYQqDYQQQghhhCoNhBBCCGGEKg2EEEIIYYQqDYQQQghhhCoNhBBCCGHEiJWG+fPn796923jlE0IIIeRFMuKzJ06dOlVWVma88gkhxHjefvvtoqKiI0eOmDoQQuoR6p4ghBA9ioqKFA9eJ4So0FMuCSFED2pjIKQiamkghBBCCCNUaSDkpSfKhOAsSpJNHUclxLkQnEVRoqnjIJoyU3D2IJIfmTqOSjAJL1eAsweR+G8dF0sMokoDIQAgzkPODeTdgji30jzFKci6jLy7kEnrsuSip8i7BZlIz6L8WGRdq3oTOdeQeggZp6sR1YuUfw+ph5B+3NRx1DlBEs4dxtmDKMiqNI8wD3//jpunUMx4eIRUivjbuPgz4m5Wmufpfdw6DVGxnkWx13DtWNVbuXYChzbh9AGmUb1gTMK7dxGHNuH4zjoulhhEYxpIQ1cYj2c7IclXp/Ds0HwqbHw08jzE0x2Qln9Fs1ho1Aeeb9a2ZHEeHq6CVPFrwoLnm3Dto84sykTC57ANgHPXmu4bMZIPhyBHoK482jgjJExPts9mIO4m5HLl23a9MWODoWL/PoGjXyEnHeVrgM1B37fwxhx1nrxMrHoLwlwAYLHx5jz0GaNempmGz99DQDd0HVyjHXupsNkAwOaYOo6GhVoaSIMmFSL+M0jyYeEG175w6Q0zR0jy8Xiz+tJflI7Hn0NarMxjHww5C4K/kPZrbUt+sg1SIZpPQdsN4Foh9cfyCoRi6ZdgcdByunH2nFTl6tWrFy9e1L8s6znYgJM7eLxK14+ejUc3YGaOXiPRYzh4Zrh7Dt9+ZGiT539EdjqsHBDQFSERcGsGWRlO78cvX6jzbJsPYS6mfIINf8DKDj9+BmGeeumXc8DhYfq6au3py6rHCHx9EzM3mTqOhoVaGkiDJvgL8jKYuyBgZXnSaNxbAGkhMi/CNRwAkr4DZLBqCd9FyizFaXj4MQSn4BFZacWbScmiNFi4wjEEABoPQfJ3yL0Jl14AkHUJonQ0HQ22WfX2SJyNgkfg2cEuUM9SaTGKEiHJgbmrVlMKgOIUFMbDpjX4HroF5t6DdVNYeWuUU4CCR5CVwbYVzJyqF6F6i2kofgquNWzbgF3+VSQtQPZNrc2J0pH/EOaOsG9XnkeI7OvgN9HaBQMhiTKRfx+23rBsCnEuCh6BawH79lWEt2nTJqFQ2KNHDz3LNpyErTMAfDAIORl6MmSmIPZvsNlY/asyZ/h4LBuO6ycxehH41vo32bk/Ri+Cl7865adonN6Psz9g2GxlSlo8XJsqGzaGvIvvPsHN0+g1EgAu/Yr0RIxeADOLKvZNR3Y6Hl2HnTMCu+tZWixE4n3kpMPVCz4dtBalPEb8LbQOgYe3Vnp2Gu5dRFNfeGsc5YIcPLqOMgladYSTex2ElyvAnbNoEQSvAK30B1dQmKPcSsI9JMeiQzjsK5ymhvfacMCZKbh/Gd7t0dQXuQI8ugkLS7Tvo7+cVwtVGkiDVlYEAGaOWok8B0gL1X8cJakA4D5InYHvAZ4jJDnIvAwXfb8pDEuWScGxUr62cAEAcY4yPeUwzJ3h0rt6uxO3EcJ45Ws2D60WwMpL+VacjYefQlqgzszioukYOL9WniELqYdg4Y6AFVplJu5FYRw8hih/xaUFeLwZJenqDGbOaL0AZg7ViLMoEQlbNZpVWHDuhmZvA4BMhtRDMHNEm0+UC5MPojAOLA46bFOmCP5Cxu9w7q6sNFQZUs41pJ+AYwjEWRA+AwCeddWVBkMU9QADTu4GgFbB6pwuTdCkNVIe4cwBRL6rf63eo3VT3piDMwcgKVWnSMtgZacuE1DWWqRSHN4AZw89hRi2cSri70LRI8Izx4Id6t/g7HR8OhEF2erMXDOMWYDXhivfZqXi0Ca4e2HFT1pl7v0Ycbcw5F1lpaEgB5unIz0Rqn4XZw8s2AEH11qFpxjT0OY1zN6iTIm5hB1L1IfLpz24PDy8Dr4turzOtFgmAV87gRO7EBKBrFQ8iwXksHZoIJUG6p4gDZpDCAAIE9Rj+/P/RUkKWBy4dCvPJAMAnp3WilxzACisfOA2k5LZZhCXfyEXPAYAyyYAkLgTMgm8Z6Nacu9A+AT2beDSG2ZOkEmQ8Ll6qSQXshLY+sO1L9wjYRsIlCHpgPqeC/v2YHNRmgGZWKtYYQLAQqNwAJBJ8e9ylKTD0hOuYXDrDws3iLMQu6oacUoLELcBUiH4nnCPhHN3sNjIuoKk/QBgZg+2GcQaLe7FKQAgL1OHWvgAABy7Vi+k3DsQJsKmNZxDYddBd2kde/YvAARqj0bx7QgA8berUU6xEHI5WBrd9mbmyH6ufP34JgA08QWAnUsgEWP2Z9WL8845PLmHNt3QexSc3CEpxefvqZfm/ocSIfw7o+8YRE5HYDeUSXDgEyTHKjO07wOuGTKSINYex5sQAxYb4W8DgFSK5cORnghPH4SNR/+JcGuOrDSsGoMqGQ5PR64A29+HpBStOuCN99BtMJ7cw+M71S6WecB3ziExFq07IHQEOlSzgv/SopYG0qDZ+MChE3Kv49EnYPMAQCYBzx4tp4Nd3sTL4aOsFAX3tNrtFT/2ouwKJVanZIdgZF/D489g4Y6sC2BbwDEEJcnIuwfHjrBwhzgb+ffB99TqGqiMXAK/ZeA3AQCMxr15kBahOE0ZtpU32n+hlT/vFp7sQMpPaDVfmWLdCgWxyDiFxuWj6HKuQ14GSw9l90Hyd5AWwzUMnm8oM3gMQ9wGCBMgOKs1itOAZ3shl8K6OVovUaY06oXYNci6giYjwbaAhTuKk1D4EDZ+kIlQVgxzF5RmIvMqmjYFgBIBWGxlMwPzkORStFqg2yljLAU5AODpq5Xo0RIA8jKrUc7eFQDg5adOCe6Layfw2Qy4t8SFH2HBR0gYkh/h3nl0jIB7C2Sn4f5VeHprdQ1URlKKZd+jSSsAGL0Q83qhKB9pCcruBu+2+OKKVv5bp7HjA/wUjflfK1NatUfsPzi1D4OnKVOu/4EyCTy8wTUDgO/WoFiIsPHq4ZzDZmPDFCTcxdmDWqM4qxue7rH6GDIZ2nTH7GhlStve2D5fT07DxTIPWCrBgq91u2xedVRpIA2d5wiUClCcBEA5zl1WgtIsWLVQZnDoCMFppP8OG39la3/ClygTA4BcUquSvd5GmQgFD1AYBzNH+EQBQMJ2sM3Q/B0kH0TmeWVOvif8/lfFjlh6lNcYFKt4oSAWhXHadZ085N6CJLd84D8LojT1UreBKIhF9t/qSoPgLwDqLpi8ewAAOVI1WqPZ5gBQcJ9ppUGYAADNJmhE3hQW7hClI/MyXPvB1h/FSci+Dhs/ZP8NAK59kXwYwkfKXZCVqkctMA/J3OVF1RgAyCQAYGWrlWhpBwDiUj359bp2AnfPg8vF9I3qxLeXQ1SCB5cQdxuOjRAVDQDb34eZBd5ZiYPrcP5HZU5Pb/zvhyo24eGt/O1U8ApA7D+Iu6H1q5yXjVunkSuAVAIALBbSnqqXDpyC2H/w93F1peGvgwDQY4Ty7b0LACCX4act6rXMLQHg/uUqKg1MwlN5dh8AxmkMNW3XA1a2KCrQzWm4WOYBuzRuaDUGUKWBNHDiPPz7IeRytJoLGz8AyLuLp18j8VtYusGyKQB4voH8GIgEyjYDmRSQw8we4jz18L2alQw2Wmr3bmecgjgHzSdBlI2sC7BwReslSPsZWZeQ8TvcBhraF8WoCBWeDVA+tAIAZHi0AUVPdVZCmUa9x8YHbAuIsyAtBpcPyFCSDBZbXWkoKwYAwRk9W5fqmzJAL1kpwIKF9sAyvgdE6coOCJdQZJxUDs7IvQsATl2R8SdEmQCQdQUAbMp/NZiHZO6iJ48By5cvr8Uj9zgAlL+yKmWlAONbBB9cwd6VAAvTN2gN4mOz8e56rZyn9iJHgEkfI1uACz/CtSmW7MPPW3HpCH7/FgPfMbQVF0+ttzZOAFBUqHwrk2HDZDy9r7uWRKMzwqc9LPjISkdxAfi2kMmQ/BBsjrrSoJig4sx3erZe5dwVhsPTISoBm6M74NHeVU+lwXCxzAN2aaInz6uOKg2kQUvaC5kUrv2Uv+sA7NvBsQuyr2q12wd8jPSjyL6OsmLwHODaF0VPkf0PuLaVFcy0ZE0yEZ7/BgsPOHZB0neQy9FiCrh8NBuH7GvIulJFpYGlc5+FYsBS+UCup1+j6CnM7OE+FNbe4FoBwL0KYdj6Ie8OMo7D801kXoBcBuvmGmOf5GCx0W6rnq2zmY+PkuupbLEtASjbb8ycwOIpO4BKksHlg20BK2/kXocoHQX3AcChU7VD4lZyy0JlgoKCqreCJgsLFOcj5zlatFEnZgsAwNKqspXU/v0bX8wD5Ji8CkGhhnKKhPjtK3h4o8tAfLcWcmDKavCtMe4DXDuKK79VUWnQuc+CzQIAuUz59uvFeHof9i4YOhPeHZQDMOf3UZ9VCn5dcOcsju/Em+/jwk+QydA8QH305XKwOdh6Sc/WqzxpDIdXEafCiWXJr3axzAO2tq80klcXDYQkDVrJcwCwbqGVaNUcKL+RQcU9EoGr0XYzAlfBpZfyOti2DSrDvGSVhG2ATNlJUar4fWmqXMSxhLRI/1oM5T8EgIA1cO4KCxdlQ4LOlz8A98EAkHMLADIvAoCrxqxFLA7kMkgLwebq/mP+XcLiQFbhAl5RReCVfwlbNoJchsKHkBbDwhMAnDoDQNYVlDwHWOobSuskpLqnuJbVGYWX+AAA3L2qWPfh3/jiPUCGsR+iU/8qMm97HzKpspNCkAwATcvv2LS00XORXS0P/waANb+h62C4eIBvDZlUz2/24HcB4NYZALh4BADCxqmXcjiQlaEwF1wz3X8GWupqgM3RbdpB+eCSanlhAb+cqNJAGjQWFwCET7QSixIAgKPvEkWhMA6lOQAbrr3qrOTCOBTGwbmH8kZBriUA9Y0McilYlU8jxIS8DCyO1pde2i96svE9wLWCJA+iTJSkg8WFfbB6qaKFX3GbQ43x7AE5Mv7QSlQMdHAo35aNPwCkHALksA8CALtAsJcTKgsAACAASURBVFjIj4GsFGYaF3h1ElLd6xgBADHaV6uPrgNQ36+oV9xNRM+BXI7RixE6tIqtxN1E3C30GKG8FdDSBoD6RgapBLxqzvKho6wMHI5yPKPCL1/oyebRAla2yMtCZgrSn4JrhmCNmqaLBwDsX12rSJiwd4Zchr9PqFOkYmQ+r3yFSrywgF9OVGkgDZrigvW/c8iPUabk3ET2dQBakzcnHVB2qAPIvKi8ldGtv9YfUMxC3F9a7ZJVnu4Ah4+mbynf2vgCQMYpABBloqwEltWZDqcini3kZUg/qnybd1c5OKAiu7YAEL8ZkMNae+Sg50gAKIjF86PqxJJkPFqPwngw5BYOAOnHlPdSAkj4EjIxuLbqgYrO3QEop15wKj9cPHuIBADA12i/qZOQ6l6P4TCzRK5APZhu70oUFcDaAX6d1NkWRmCpxnzP8XewZSbkZXhzvnK+JsN2fAC+Dd4qvwvFNwQATu0DgMw0lBRW3aphmK0DyspwdLvy7d2LuHJUf862vQA5Nr8LuRw+7bQWjZwPALF/4+hX6sTkWKyfjHh990PWmGKCih82Ii8bAGQybJkFefVHpbywgF9O1NhCGrSmo5AfA3EOEr4EiwPIlY2vfC+tiZWyLiPrEsACoGzStw+GxxCtoiQF5RmqU7KCYgJp71nqFJfeSPsN6SeQ/wCi5wDQdHyt9rTJKDzZjucnkP4n2GyUlYLvgWJ9l2GNI5F9VdmH4h6htcguEG4DkPEH0k8g/SQ4ZpBLy2/EYPwQL5deyL2Lwod4uBpsc8gkgAxsLlpFqfNYuIPFhVwKjoV6LIJ1S+TcBACnkDoOSS+hUAjA2lrfUIiVoyBIBADFSMlvPsTuZQAw9RP1DD/vbsDWKJw+gLOHIJdBVgYOB3OitcopyAZL46TZtwoyGVgs/LRFa+g+gLXHYa89kvPHzyDMxSyNiRl6v4nftuPETjy4iufxAAvjl9Vgx9VGLcT2BTjxDf48ADYLpSJ4+OB5hcG0ACKn4+ox5AgAIGKi1qLA7hgwGX98ixO7cHIPzMwhLYVUCgBSxjeSMBE+DjdOIjkOi/uDbw1RMeRyuDaFIBmc6rS4vLCAX07U0kAaNjbafAL312HhDo4lOHxYeKDpaPh9oJXLfTD4nuBag2sDqxbwnoOW03RL4vK1h9oxKxkAZMi9C7sg2GkPvPNfAasWEGfBzAGt5ureHKHJzBFcvu7cyWZO4PLVU1Lat0OrueB7gGMOjjVcw+D3Eczs9MzkaOYAvhe4fJi7qEdxqngMhd//YOsPni1YXPDsYRugvkNEL54duHxYNFKntJqLpmNh6Q42DzxbOLRDm3XqARwKNr7g8rUmw3bsrjzI9m2rF5Le41OlCRMmjBgxQv8yazuYW8LcEnxr8K1hyVe+VdyYpxDQBcsPo1UwrGxgbQf/zlj1q3rAgQLfGtYaH4Bi3ICllbo01T82S2tFmQx3zyEoVHeY5IrDaNEGWSlwcMXcrYaG9zs2At8aTtpzhjt5gG8Nx/KPql0vzN0GDx+Y82HtgLDx+Ogg7JzgUKHVy8EVXv7gW8PFU6spRWHoDPzvIPy7wNYBXC7sXRHQFXO3wa9LrcKzcwLfGo00boX48DtEjIdjI7C5aOqHpXuUHXJObtUolknAestpGFhyeYWhUHUkICCgX79+0dHRVWclhJB6ZsSIEUKh8NSpU6YOhNSUTIb3QiEVY9s/1bm9hxhCx5EQQsgr4exB9e0SUjE2ToWkFI1bUo2hDtGYBkIIIa+EY7twaDPMLMDloKQYchl4ZphFz86uS1T/IoQQ8kp44z009wffBiw2HFzQqT/W/9kwRx4YD7U0EEKIHsOGDSstpdHyL5XuQ9B9SNXZSC1QpYEQQvQYN25c1ZkIaWCoe4IQQgghjFClgRBCCCGMUKWBEEIIIYxQpYEQQgghjFClgRBC9Fi4cOHs2bNNHQUh9QtVGggxJXEuBGdRlGjqOPSpz7G9AE+fPo2PN9qDMnMFOHsQif8aq/zaqM+xEVOjSgMhppR/D6mHkH7c1HHoU59je+ndu4hDm3B8p6nj0Kc+x0ZMjSoNhJBKsDX+Jw2H4kkNbI6p4yD1EU3uRAjRz6UHXHqYOgjy4vUYgR6VPBOcNHhUaSCkhkSZyL8PW29YNoVIAGECzJ1h01p/5uI0FD8F1xq2bcCu5M+uOAWF8bDxAb+Jng1ZN4WVtzox/wEkhbBtBTMnFCVAmAyHDjCz11pRWoCCR5CVKbNVFrw4GwWPwLODXaBWHnEucu/AugWsvLSLLUZBLGQS8JuCX9W8/uI8FD+BTAJzN91ymJRW2XHTij8XBY/AtYB9+6p3nGFUAFq0aFFSUqJnQWYK7l+Gd3s09YUgCQl34eyB1h31l5L2FE9jYG2LNj3AreSDT3mM+FvwCUaTVtobSsP9i2jqD++26sQHV1CYg1Yd4eSOhHtIjkWHcNhr72RBDh5dR5lEma2y4LPT8eg67JwR2F0rT64Ad86iRRC8ArTSiwsQew0SKZr6waOF/n1RycvEk7uQiOHWHF7+ejIYLq2y46YZf64Aj27CwhLt+1S94wyjIlWhSgMhNZRzDekn4NgRxekQpSkTORbwmaf1O1SUiIStkArL37Pg3A3N3tZToKQAqYdg7oLA1VrpibtR9ASeI5SVhvwYPNkBuUS51NoHLC4KH4LHh2MXZaK0AI83oyRdXYiZM1ovgJmDdvCdIM6FsHy0H5uHVgvUwSvGNNi1gffsSotlm6H1Ev1VB3EeHm9C6X8aSSw0Gwfn1xiVZvi4KeMPgTgLwmcAwLOGffuqd7zKqFQ2bNigZ68AXDuBE7vQsR/SE5GWoEy0sMK87Vq/Q4mx2PoehHnlW2Gj2yC8/ZGeAgtycGgTXDyx+let9N0f4ck9jJirrDTEXMKOJZCUPw7Dpz24PDy8Dr4turyuLmrzdKQnAnJlirMHFuyAg6tW8J36I1eA+LvKbDxzLNihriIoxjS0eQ2zt5QXm4XNM5H+VB2bmQWW7IGHRjVWJS8bm6bgvxR1CouDcYvx2nBGpRk+bor4QyKQlYpnsYAc1g5o36fqHa8yKsIMVRoIqZXcu4Aczj1g7oyc6yhJxeMNaLsJbAsAkBYgbgPkUvA9YdcBkmxk/42sKwALzcbrFmUXAI4FSrMgLQDXtjxVhuJnYHHg2g8AxLl4sh1yGaxbwT4IJc+R8zfA0ipHJsW/yyEthqUnbP3A4iDvLkQZiF2Fdpu1g78DeRns24DnjPwYiLOR8DnaaudRFyvGg/+hTASeHRw7gm0FUTLyH0GSD+irNMRvQel/sHCDYzBY5hBloDAW0gJGpTE8bor4bVrDvBHAYrTjhqOqhrvnIQd6DIezB66fQupjbJiCTWdgwQeAgixseAdSKTy90SEM2Wn4+3dcOQoWG+OX6RYV0AUWVshKQ0EWbJ3LD5AUz+6Dw0G/twAgV4Dt70MmQ6sOCHoNz5/h7xNgaQ87kEqxfDiKi+DpA7/O4HBw9wIynmHVGGw+q5XzzjmUSdCmG5w9EXMR2en4/D1s/kv/nopF+N9wiIph54SO4bCyRfJjPPoH+Zn6Kw1bpuO/FLg1Q3A/mPORkYjYv1GQw6g0hsdNEX/rDmjkBZac0Y4bjoowRpUGQmpFLoXvYli1AAC3CMSuQUkykn+A10QAeLYXcimsm6P1EmX+Rr0QuwZZV9BkpLJiockhGFlXkPar+pI6409lFUExIDFxL+Qy2LdBy/Krf/u2eLJdq5Dk7yAthmsYPN9QpngMQ9wGCBMgOAvXPuqccgn8lpX3hozGvXmQFqE4TX/LQdI+lIlg7ozANYyOjEgAtjkCVupfarg0hsdNLkWrBbDxUb5N3Fv1jhuOqhqkUizejRZtACBiAtaMRXIcfliHiSsBYO/HkErRPABL9irz93oDa97GlaMYORcW1rqlBffDld/w63a8/T9lyp/7IZOhVbByWOLejyGToU13zI5WZmjbG9vnaxXy3RoUCxE2Hm/MUaYMm40NU5BwF2cPos8YdU5JKZZ9r+wNGb0Q83qhKB9pCforAftWQVQMZw+s+Y3RkRGkwtwCK4/oX2q4NIbHTSrBgq/h06F8rZVV77jhqAhjNDCakFrhOSprDArNxgBAQazyrTABAJpNUGewbAoLd0COzMt6SvMYChYLeXfUKVkXAMCz/Hm/Rc8AoInG8xft24FrpVVI3j0AgBypP6n/sc0BoOC+Vk5LD63xE3wvACiM07+n+Q8AoPlU/UsrYvMgE6OwkpkODJfG8LiZu6hrDGC244ajqgZHN2WNQWHMEgCI/Vv5NuEuAExYoc7Q1B/uXpDLcFnfj+XQWWABdzSu9S8cAYAh7yrfPrsPAOM0ejfa9YCVLTTduwAAchl+2qL+Z24JAPe1zzYPb63xE4qOibgb+vf0wVUAmPqJ/qUV8bgQixF/uyalMTxuLo3VNQYw23HDURHGqKWBkFqxaKT11qoFWCxIi5RvZaUACxbaQ7L4HhCloyRZT2lcW5i7QZSuHBEpzkZpDjhW6iGQMhFYbN0Bj2b26i0CKCsGAMEZPeVLi7WDd9F6y7MBgLIi6FUmAliVDhusyKkbMs/h8UZw+bBsAsfOcNYYb2e4NIbHzVw7fiY7bjiqamikPVq1RRuwgKLyfo7SErDYcG+ulcfDG+mJSH6kpzRbR7h5IT0R8bfh0wHZ6cjJgJUtvMvHdopKwOboDni0d1VvEUCxEADOfKen/GKh1lsXT623Nk4AUFSoZ0UAoiKw2NUYNthtKM79gI3TwLdGE190HoDuQ9RLDZfG8Li5aB98JjtuOCrCGFUaCKkVboUuBjkLLLnqjZ57JdiWAFAm1l+gaxiS9uH5UbR+H2m/AICjzsD8CvfPKwrUiAAsNtpt1VM4W7ttkWWms1i5ul4sVK9psuloWHsh4w+IBCiMQ2EcUg6h9WJl30cVpTE7blydZn4GO244Kk0HDhwoLS2dPHmy/ggtrHRTWGzIZapIwK2we5Z2ACAu1U1XCBuPfatw9Cu8vwO/fAEAHcO0MnAqHBFLvtZbuRxsDrZe0lO4zgdvpn3WslkA1MHrkoHNq2SRPqMXwMsff+yGIBlxNxF3E4c2YvHe8lskDJbG8LhZa9eamex4FVERpqh7gpBaKc3TeiuTAjL1vDgsDmRluquIswGAZ6+bruDcHWwehAmADPn3AKBxpMZiNuRS3VUk2uP4WBzIZZAWgs3V/Verv3gO5GVAZb8s+jh2gf8KdNgO34Ww8ICsFE+/YlRaDY4bGO+4oag0/PLLL4cPH650Y3mZWm+lYshk4JTXwjhslFXYgexUALBvpJuu0H0IeDwkxEAmw72LABA5Q72UzYFUoruKzjg+DgeyMhTmgmum+6+y23yZ4HBRJoWswmlnQJeBWPEjtv+DhTvh4Y3SEny1gFFpNThuYLzjBqIijFGlgZBaKUnV+uVLPwEAZuXfbzx7QI6MP7RWUXTYOwRXWqaNPyDDk10oE8PCXet6WlFgzt/qFJkUpdq/X4pG+6T91d8Zg8ydACD1p5qsa+WNgI8AQJzLqLSaHbfq7njFqKohNR4yjQ/+xC5Ao8/CvhHkcvyxW2uVhHsAENy30jL9u0Emxa6lEJfA3UvretreGXIZ/j6hTpGKkflca3UXDwDYr33Dbu05NQbk+Cm66pwVebfHRz8ALOQKGJVWs+NW3R2vGBVhjCoNhNSKXIr4L5Wvi1Mg+BMAGg9WpriFA0D6MRSX3x+e8CVkYnBttUbw6fAcBgB5twDAVfur0rU3ACT/ALGihUOG+C26HQqeIwGgIBbPj6oTS5LxaH2tBgB6DAcAwTnkXFcnZpyCqJIv3riNKEpQv808DwCc8p4Uw6XV8Lgx2HHDUVWDVIwv5ylfpzzGnwcAYPA0ZUr42wBwbCdSHitTvpwHsQi2jvBpj8oMmw0At84AQN9xWot6jwaAHzYiLxsAZDJsmQW59kX5yPkAEPs3jmq0nCTHYv1kxN9BjQ1/DwDOHcJ1jUrcqX0QJOnPv3Gq8mde4fyPgByW5b05hkur2XFjsuOGoyKM0ZgGQmrFwgMF/+L2TLB5KBMBgF0b2LdTLnXphdy7KHyIh6vBNodMAsjA5qJVlMEy3WFmD3EeWFw4h2otcg1H9g2UJOP+YnD4kIkgl8PCFSKBeqyDXSDcBiDjD6SfQPpJcMwgV7UHV6eNWYd9O7j0RuY5PPsGiXvBZqNMAshh6QELVz35hfF4tAEsNtjlAbBYaDaaUWk1O25MdtxwVNXg4Y1/r2JmF/DMISoCgDavoV0v5dJeI3H3PB7+g9VvwdwSEglkUnC5iPrcUJnuzWHvgrxMcHkIHaq1KHwcbpxEchwW9wffGqJiyOVwbQpBsrpPJLA7BkzGH9/ixC6c3AMzc0hLIZUCgLSSgRRMtOuF3qNw7hC+WYa9H4PNgaQUchk8WsK1mZ788XewYTLYbJhZQiqBVAwWC6MXMyqtZseNyY4bjoowxlmxYoWRit62bVuLFi0GDBhgpPIJMa3COAjjYeuHJqNQnApZKbi2cOuPpm9pZXPqAp4dxFmQS8GxhJ0vWr2vHvYvyUVhLGx9Yas9Y29JGkpSYesPp86623XpAbkE4lxABgt3+MxC3l1IhXALU897aOsL+/YQZ0ImBgCuNayao9lY2PgpM5RmoigBNn6w9VWXXJwCUSocgsFvqj82u0DY+EIkgEwMFhfmTnDpCaeuYOlrsjRzhlwMuQyQgWMFG2/4zIFVS3UGw6UZPm5642ey41VGpXL48GGxWDx+fIVJuOJuIv42/Dph1AKkxqG0BLaO6D8Jb2n/AnV5HXbOyEqDVAxLa/h2xvs71Lct5AoQew2+HRHQTWuttHikxsO/KzpX+ObsMQKSEuRmQCaHewvM2oC7FyHMRdg49byHviFo3weZqRCXAHJYO6J5IMYuhV/5aZSZjIQ78OsK3xB1ySnxSI1DcB809dMfW2B3+HaEIBliEbg8OLmj50h0Haw7vlLB2QNiEWRlkJXByg7ebTHnS7QMUmcwXJrh46Y3fiY7XmVUhBmWXF7JUOlaCwgI6NevX3R0jXrCCKn3nh9VzsTcvJLx9bURsxCSAo2ZlwyQ4fZ7kEsRvI36G+uSUCgEYG1dYSKmo18pZ2KeXNejBwAsjEBBtnrmJQNkMrwXCqkY2/7R/+NNiBHQqUZIvZN3B5IC8Oz11xgEZzUmY5bi0UbIJbBoTH/Ndcza2lpPjcGo7pxFQTbsG+mvMZw9qL5dQirGxqmQlKJxS6oxkBeJxjQQUo8kfYfcm5CVAEDTSjra048h9RDYZmBzIS0B5GDz4DPrRYZJ6tp3a3HzL5TkA8DoSu4DPLYLhzbDzAJcDkqKIZeBZ4ZZm15kmIRQpYGQGjJzBJev/8nLNSaXAnLwHOA2QP2gZx2ebyD7EkpzIZfAzAHW3mgyBly+/syk7jk2At8aTlU9FLxapBLIZXBwx4BJ6gc963jjPVz6GbmZkIjg4ALv9hizBPwX2xZCGjwa00AIIYQQRqgzjBBC9Lh69erFixdNHQUh9Qt1TxBCiB6bNm0SCoU9evQwdSCE1CPU0kAIIYQQRqjSQAghhBBGqNJACCGEEEao0kAIIYQQRmggJCGE6PH+++9LpbV4wBchryKqNBBCiB7dunWrOhMhDQx1TxBCCCGEEao0EEIIIYQRqjQQQgghhBGqNBBCiB5CoVAoFJo6CkLqF6o0EEKIHhMmTBgxYoSpoyCkfqFKAyGEEEIYoUoDIYQQQhihSgMhhBBCGKFKAyGEEEIYoRkhCSHVIBAIYmJiHjx4YG1t3bZt28DAQD6fb+qgjCIsLKy0tNTUURBSvzCtNMhksm+//fbQoUNJSUnz5s2bMWMGgI0bN7Zp0yYiIsKYERJCTOzkyZPnz5+/e/duTExMV/tIADweTyqVnpTfZLPZ/8rOBwUFtWvXbsSIEa1atTJ1sHXm3XffNXUIhNQ7jCoNcrn8zTffPHLkiIuLS3FxcX5+viL91q1bBw8epEoDIa+qq1evLly40DUn0N7evrPnoDfGzPD09PT09GzUqJFEInn+/HlqampKSmhqaur9w2kffRQwderU5cuXu7q6mjpwQohRMKo0/Pjjj0eOHFm3bt3ChQu7du2qSh8xYsTIkSNzc3MdHByMFiEhxAQeP368bNmysgeO7dzCBk8bHBwcrJPB3Ny8efPmzZs3V7yVSqWRFyKPHz/esmXL2bNnL1261NbW9oVHTQgxLkYDIY8ePdq+fftFixaxWCzN9JYtWwJITU01SmiEEFPIzs5esmRJUFCQdUrzsWPHfvTRRxVrDBVxudy+ffuuXr1605R9T08UtmzZMjo6mh4tTcgrhlFLg0Ag8PPzq5hubm4OgGZaJeSVcePGjUGDBvVtPHrHvF/69u1rZmZWrdWtrKyGDx8eGhra7td2F7++dfz4gJ9//tnGxsZI0RJCXjBGLQ1OTk56mxNiYmIANG7cuI6DIoSYwh9//NGnT5+xHeauWrVqwIAB1a0xqLi4uEydOnXOnDkuWf49e/bMyMio2zhfjIULF86ePdvUURBSvzCqNPTu3fvy5cs3b97UTCwoKFi1apWPj0+zZs2MExsh5MXZv39/ZGTke2Gr5s2bVyfDEfz8/BYvXtzeIrxr165xcXG1L/AFe/r0aXx8vKmjIKR+YVRpmDBhgo+PT9++fVesWJGTk/Pw4cN169a1adMmNjZ21apVxg6REGJs0dHRv35yZfXYr6OioiwsLOqq2MaNGy9cuHCA19vdunW7cuVKXRVLCDEVRmMaLCwsTp8+PXr06JUrVwJQ1L4tLS2jo6NHjRpl3AAJIcYkl8sXLVr05HhBnz593nzzTZ3BzrXn5OS0aNEi623W4eHhhw4dGjRoUN2WTwh5kZhO7tSkSZMrV67cuHHj+vXrRUVFHh4e4eHhLi4uRg2OEGJUMpls3Lhx4nt2Y8aM6dWrl5G2YmVlNWfOHD6fP2zYsAMHDtCVBiEvr+pNIx0SEhISEmKkUAghL9jy5ctL79pOmTK5Y8eORt2QmZnZjBkzzM3NJ06c2Lx5806dOhl1c3XC1dXV2tra1FEQUr/QsycIaaCOHDkSeyQzMjLS2DUGBTabPWHChOzs7CFDhty4ccPT0/MFbLQ2tm3bZuoQCKl3Kq00DB8+/OrVq0yK+Pnnn7t161Z3IRFCjO7u3bsTJkxYMmTTgAEDXthGeTzejBkzctfmDhky5NKlS6/qk64IeYVVWmnw8PDw9vZmUoSlpWXdxUMIMTqBQBAZGTm525JJkybV+chHw2xtbWfOnLlhQ9HEiRMPHTr0grdOCKklllwuN1LRAQEB/fr1i46ONlL5hJAakEgk/fr1ay7qtHTpUlM9Neb27ds7duzoNKH54sWLTRIAIaRmGM3TQAh5ZcycOdM1J3DatGkmfM5chw4dIiIili5deuzYMVPFQAipgeoNhJRIJAkJCSUlJY0bN3ZzczNSTIQQI/nss8+yL7MnThzn4+Nj2kiGDh36/Pnn48aNu3btmr+/v2mD0evAgQOlpaWTJ082dSCE1CNMWxpycnKmTZtmZ2fn7+8fHBzs7u4eFBREVwmEvETu3r27ePHivn37aj7g3lRYLNbkyZPHdpg7duxYiURi6nD0+OWXXw4fPmzqKAipXxhVGoRCYWho6M6dOzt06PDuu+/OmTNn8ODBcXFxkZGRe/bsMXKEhJA6IJVKp0yZMvW1pcOGDTN1LEoWFhZTpkzxlnRdu3atqWMhhDDCqHti69atiYmJ58+f79mzpyoxNTU1MjJy7ty5Y8aMUTwjmxBSb61evdqrJGTiexN5PJ6pY1Fr0qRJeHj4zNUjBw0aFBwcbOpwCCFVYNTScPny5VmzZmnWGAB4enpu2bIlPz///v37xomNEFI37t2798knn0RERHh5eZk6Fl2DBg2a3mPZ5MmT62cnBSFEE6NKA5vN1vtdo3goNpdL00oSUn9JpdLJkydP7rbk9ddfN3UsenC53EmTJvlIu33yySemjoUQUgVGlYbOnTufOXOmYvpff/3l7OwcEBBQ11ERQurMmjVrvEpCJk2aVK86JjQ1bdq0X79+q1atun37tqljUdu2bRuN2SJEB6NKQ1RU1IMHD6KiojIyMhQpIpFo+/btixYt2rVrV739JiKExMTErF27tn52TGiKjIyc3mPZO++8U386KVxdXd3d3U0dBSH1C6MZId9+++0zZ86kp6cDcHFxMTc3T09PLysrs7W11fmj2rdvn+r5dTQjJCGmJZVKu3Tp0snm9WXLltX/yv2zZ8/Wr1/fdnTj//3vf6aOhRCiH6PhCBwOx9HR0dHRUZViZ2enNyfNJE9I/fHJJ594lYRMjKpfd0xUpnnz5mFhYe+tHjN06NA2bdqYOhxCiB6MKg27d+82dhyEkLr17NmztWvXfjbtQPPmzU0dC1ODBw++e3fxrFmzLly4QFcghNRD9OwJQl5NCxcuHBU0u37eMVEZHo83ZswY50y/H3/80dSxICYm5s6dO6aOgpD6pRp3S8bExOzevTsmJkbx7ImIiIjx48dbWFgYLzhCSM1cuXJFHus8fMLwl+4v1M/PLzAwcMGCBYMGDeLz+SaMZOXKlUKh8NSpUyaMgZD6hmmlYevWrfPmzSsrKwPAYrHkcvmRI0e2bt165syZRo0aGTNCQkj1yGSyOXPmdPcc2qVLF1PHUhMjR458+PDhZ5999uGHH5o6FkKIFkbdE7du3ZozZ46vr+/Ro0dzcnLEYnF8fPyCBQsePHgwdepUY4dICKmWb7/9tmlR8KhRo17SYQFubm49e/b89NNPnz9/bupYCCFaGFUa9uzZ4+jo+Ndffw0ePNjBwYHL5Xp7e2/YsGHp0qXHjh3LysoydpSEEIYKCws/+uijkJAQkz/8ujYGDx48zHcatTQQUt8wqjTEx8eHhoa6urrqpI8cOVIulz958sQIgGW72gAAIABJREFUgRFCamL16tWhzsPrz6Msa4bP5w8aNGjfvn3Xr183dSyEEDVGYxrMzMwKCgoqpufl5SmW1nFQhJAaefr0aXR09JezDzs5OZk6ltrq2bPnjF4fzZ0798qVKybpZ3n33Xfrz/SUhNQTjFoaQkJCLl26dPXqVc1EmUy2fv16Kysrf39/48RGCKmeBQsWvNV+TkREhKkDqQNsNnvUqFFuuW0OHz5skgDCwsIGDhxokk0TUm8xqjRMnz7d1ta2b9++M2fOPHDgwNGjR6Ojo9u1a/f777/Pnz/f3Nzc2FESQqp0/vz5X375ZdiwYa/Mn6Svr2+bNm0WLFhQXFxs6lgIIQDDZ08AuHXr1pgxY+Lj41UpXC43Kipq48aNbLb+mgc9e4KQF0YulwcHB/dyHblkyZKX9KYJvQQCwcqVK9u/5bl06VJTx0IIYTxPQ3Bw8MOHDy9evHj//n3F5E59+vTx8PAwanCEEIaOHDniVRIyYsSIV6nGAMDV1TU0NHTFxlkzZ860t7c3dTiENHTVmBGSw+H07t27d+/exouGEFIDMpns448/Huz3TqtWrUwdS90bOHDglStvffbZZytXrjR1LIQ0dEyfPSGTyXbt2hUWFtaqVavt27crEjdu3EhzrBJict9//723pGtkZKSpAzEKOzu7nj17bt68OTMz80Vud8SIEa/GkFJC6hCjSoNcLn/zzTenTp16796958+f5+fnK9Jv3bpFHY2EmFZZWdnq1auDgoJatGhh6liMZcCAAYO939m0aZOpAyGkoWNUafjxxx+PHDmybt06gUAQGBioSh8xYsTt27dzc3ONFh4hpAq7d+8OYPd6uZ5mWV3W1ta9evX6/PPPaWJpQkyLUaXh6NGj7du3X7Rokc4Yq5YtWwJITU01SmiEkKpIJJK1a9e2b9/ey8vL1LEYV0RExHC/6evXrzd1IIQ0aIwqDQKBwM/Pr2K64nZwoVBYx0ERQpjZsWNHe4vwV7uZQYHP5/fp0+frr79OSUkxdSyENFyMKg1OTk56mxNiYmIANG7cuI6DIoQwIBKJPv3005CQEE9PT1PH8iKEhYW9ETBj7dq1L2ZzXbt2DQ0NfTHbIuRlwajS0Lt378uXL9+8eVMzsaCgYNWqVT4+Ps2aNTNObIQQQ7Zt29bZdlBDaGZQsLCwCAsL++abb54+ffoCNrdgwYJly5a9gA0R8hJhVGmYMGGCj49P3759V6xYkZOT8/Dhw3Xr1rVp0yY2NnbVqlXGDpEQUlFRUdH69eu7du3q5uZm6lhenD59+rzVfs7q1atNHQghDRSjyZ0sLCxOnz49evRoxeQqismkLS0to6OjR40aZdwACSH6REdHhzoPb2hPVDI3N4+IiBi/tv+iRYt8fX1NHQ4hDQ7TZ08o3Lhx4/r160VFRR4eHuHh4S4uLgYy07MnCDGSwsJCLy+v/73x+dixY00dy4smkUiWLVsm8X6+f/9+U8dCSINTjWmkAYSEhISEhBgpFEIIQ1999VUf91H9+/c3dSAmwOPxwsLCxq/tv3z5cm9vb1OHQ0jDwnQaaQWJRPLw4cPbt29nZGQYKSBCiGGlpaVbtmzp1KmTk5OTqWMxjdDQ0LEd5m7cuNGoW1m5cuWSJUuMuglCXjpMKw05OTnTpk2zs7Pz9/cPDg52d3cPCgo6duyYUYMjhFT0zTffdLEbHB4ebupATMbc3Lx379579uxJS0sz3lZiYmLu3LljvPIJeRkxqjQIhcLQ0NCdO3d26NDh3XffnTNnzuDBg+Pi4iIjI/fs2WPkCAkhalKpdOPGje3bt2/g86P06dNnhP+7n332makDIaRhYTSmYevWrYmJiefPn+/Zs6cqMTU1NTIycu7cuWPGjFFMDUkIMbbvv/++nXlYwxzNoMnS0rJHjx7vf/X24sWLDY/IJoTUIUYtDZcvX541a5ZmjQGAp6fnli1b8vPz79+/b5zYCCFa5HL5+vXrAwICaEY1AP369Xu9xcQvvvjC1IEQ0oAwqjSw2Wy9j8NRfHNxudW7BYMQUjM///xzq7LuAwYMMHUg9YKtre1rr70WHR2dn59vjPKtrKysra2NUTIhLy9GlYbOnTufOXOmYvpff/3l7OwcEBBQ11ERQvT49NNPW7Ro4ePjY+pA6ouIiIjwJmO//vprYxS+b9++I0eOGKNkQl5ejCoNUVFRDx48iIqKUt1pKRKJtm/fvmjRol27dvF4PGNGSAgBgD/++KOJsMOgQYNMHUg94uDg0KlTp82bN5eUlJg6FkIaBKaVBqFQ+MUXX7i7uzdq1KhJkybW1tYzZ86USCSLFy/21XD9+nVjR0xIw7R27domTZr4+/ubOpD6pX///t0dh3777bemDoSQBoHRcAQOh+Po6Ojo6KhKsbOz05uTxWLVTVyEEA3Xrl27dOnSh59toT8xHa6urh06dFi3bvXUqVPNzMxMHQ4hrzhGlYbdu3cbOw5CiAGrV6+e0euj9u3bmzqQ+mjAgAG3b9/+/vvvJ06caOpYCHnFVW8aaULIi3f//v2TJ0/+n737Dmsi2/sAfkLvRelIF0RQFBHpIFUF7IINUeyIDfVaUNd17S6CCjbUFV3XtrJ21NW1Ye8oVsQGIk0QpLe8f+TeebM0ByRMyvfz3McnOTkz+U5yZ/PjzMyZPn36YJihQXp6epaWlpGRkc26/d53HTt27MiRI624QgAhgKIBgN9FRkaOs/tPr169mA7Cv3x8fMxqnBITE1txnfv379+9e3crrhBACKBoAOBrnz59OnTokKenJyZEaUKnTp2MjIx4fQsrAEDRAMDXNm7cONRiqrOzM9NB+J2Xl9eVK1fu3LnDdBAAYYaiAYB/FRUV7dy509XVVU5Ojuks/K5Hjx6TXRZHRUUxHQRAmKFoAOBfO3bs8O4wyt3dnekgAkBMTMzT0zMhISEtLY3pLABCq9Gi4cKFC/fu3WvLKADAraqqKiYmxtbWlnuKFGiCk5PTKOtZGzdubJW1rV+/HnfDAqij0aJh1apVe/fu5TweMmQIzjACaGMHDhzoKd/Py8uL6SACQ0pKytXV9bfffsvLy/vxtZmYmOA2HwB1NFo0yMvLU9O55+fnFxcXt1UkACCEkI0bN1paWurp6TEdRJB4eHj4m4Rs27aN6SAAwqnRi7jMzMwOHjx46tQpQ0PDkpKSnJyclJSUBnsaGRnJy8vzLCGAKDp37pxReS8fHx+mgwgYRUVFe3v7tbFz582bJysry3QcAGHDamwOtQ8fPvTq1SsnJ+e7q7h8+XLv3r3rt1taWnp5eW3atOkHIwKIIE9PT0ux3kuWLMEskM2VnZ29bNkyn1nWU6ZMYToLgLBpdKTBwMDg9evXiYmJHz9+3L59u5GRkYeHR4M9jYyMeBYPQBQlJydfvnx5zvo1qBhaQFNT08rKasOGDZMmTRITa/kFYmlpabW1tTitAYBbU3PMKSsrjxw5khBy9uxZV1fXJUuWtFUqAJG2bt268Q4LbGxsmA4iqPr06ZOcnHzixInBgwe3eCXz588vLi4+f/58KwYDEHS0JqY9ceKEpKQkr6MAACHk48ePf/75575FZ8XFxZnOIqhMTEyMjY03bNjwI0UDANRHa+xOWVlZTk7uyZMn4eHhnp6ejo6Ow4YN27lzZ3l5Oa/zAYiaTZs2BXSZ5uTkxHQQwebt7X3jxo3bt28zHQRAqNC9BU5MTEx4eHhNTQ0hhMVisdnshISEmJiYixcvamho8DIhgAj59u3b7t27147djTP/f1D37t0nuyyOjo4+fPgw01kAhAetkYYHDx7MmjXL3Nz85MmT+fn5lZWVqamp8+bNS0lJmTRpEq8jAoiOnTt3eumOxLzRP05MTMzd3T0hIeHt27dMZwEQHrRGGuLj49u1a/fPP/9oampyWjp27Pjrr79KS0uvXr06Ly9PTU2NlyEBREJNTU1sbOwk5wjMG90qnJycRnSbERsb27K7WE2dOrWqqqrVUwEINFojDampqS4uLlTFQAkICGCz2bg9DECrOHr0aHdpb09PT6aDCAkZGRlnZ+ddu3Z9/fq1BYt7e3v7+vq2eioAgUaraJCSkioqKqrfztkVpaSkWjkUgEiKjo42NTXFxCetyNPTs49+0K5du5gOAiAkaBUNtra2SUlJN2/e5G6sra1dv369vLy8hYUFb7IBiJDr16/fuXMHt6dqXSoqKjY2Nps2bcKBBoBWQatomDJlipKSkqen57Rp0/bv33/y5MlNmzZ17949MTFxzpw50tLSvE4JIPSioqImOUdYWVkxHUTYeHl52Sr4Hj16lOkgAMKg0XtP1PHgwYORI0empqZSLRISEjNmzIiMjGxsolbcewKApnfv3pmamh786WKDt3GBH7Rhw4aLnw7ev3+f6SAAAo/uPA02NjYvXry4du3a06dPy8rKdHR0PDw8dHV1eRoOQERERUWN6DbDwcGB6SDCycvLa93MedeuXXN1daW/VHBwcElJSUJCAu+CAQgcukUDIURcXNzd3R1XkAO0roKCgvj4+KhJv+NIH49YWVmF9v4pOjq6WUVDSUlJcXEx71IBCKKW3wIOAFrFjh07+hqMcXNzYzqI0GKxWB4eHidPnnz58iXTWQAEG4oGACZVVVXFxsba2tqqqqoynUWYOTg4jLKeFRMTw3QQAMGGogGASYcOHeql6IcrLXlNSkrKzc0tPj7+y5cvTGcBEGAoGgCYFB0d3blzZz09PaaDCD8PDw9/k5AdO3bQ7O/g4ODi4sLTSAACB0UDAGMuXbr06NEjDDO0DUVFRVtb2y1btlRWVtLpP2/evCVLlvA6FYBgoVU05OfnFxQU8DoKgKiJioqa6rbU0tKS6SCiwtvb2165/6FDh5gOAiCoaBUNvr6+v/zyC6+jAIiUV69enT171tvbm8ViMZ1FVOjo6Jibm0dGRtKc1A4A6qBVNGhrayspKfE6CoBIiYqKCrIJt7e3ZzqIaPHy8nr69OmlS5eYDgIgkGgVDY6OjleuXOFxEgARkpub+/vvv7u5uUlKSjKdRbRYWlrO8PolKiqK6SAAAolW0RAaGpqXlzdz5sz8/HxeBwIQBdu2bfM3CcGETm2PxWK5u7ufPXv2+fPnTfeMjIxcuXJl26QCEBS0ioZp06YVFhbGxMSoqalxDgpyu3v3Lq9TAgiTioqKbdu2OTg44KgfI+zt7YNt527cuLHpbrdu3UpKSmqbSACCglbRIC4urqKiYmlpaWFh0a5dO4l/w2lcAM2yf/9+R9WBnp6eTAcRURISEm5ubvv27cvOzmY6C4CAoXXDqj179vA6B4Do2Lx580DLidra2kwHEV1ubm4Dz03cvn37smXLmM4CIEgwuRNAmzp37pxJpb23tzfTQUSaoqKivb391q1by8rKmM4CIEjoFg21tbW7du3y9vY2MzPbtm0bpzEyMvL8+fM8ywYghKKjozt06NCpUyemg4g6T09P5/aDDxw40FgHeXl5BQWFtowEwP9oFQ1sNjswMHDSpEnJycmZmZmFhYWc9gcPHkRERPAyHoBQefLkyYULFzChEz/Q1tbu0qVLVFRUYxM97du3LyEhoY1TAfA5WkXDn3/+mZCQsG7duuzs7C5dulDtQ4cOffjwIWaYBqApMjJynN1/evbsyXQQIIQQHx+fTrXOZ86cYToIgMCgVTScPHnS2tp6/vz5df48MjExIYRkZGTwJBqAcPn06dPhw4c9PT0lJGidgAy8ZmZmZmRkFBkZyXQQAIFBq2jIzs7u3Llz/XZpaWlCSHFxcSuHAhBG0dHRQy2m4m7LfMXLy+vq1au3b99mOgiAYKBVNLRv377B4YQnT54QQnR0dFo5FIDQKSoq2rVrl6urq6ysLNNZ4P/16NFjssvi6OhopoMACAZaRYO7u/v169fv37/P3VhUVLRixQpTU1MDAwPeZAMQHjt27PDuMMrd3Z3pIPAvYmJinp6eCQkJaWlpdV66cOFCYmIiI6kA+BatomHs2LGmpqaenp4///xzfn7+ixcv1q1b17Vr1+fPn69YsYLXEQEEXVVVVUxMjK2tbbt27ZjOAnU5OTmN7D6z/qzS27dv37RpEyORAPgWrROyZGRkLly4MGLEiOXLlxNCUlNTCSGysrKbNm0aPnw4bwMCCL4DBw70lO/n5eXFdBBogJSUlJub26zto5YtW6ampsZ0HAC+Rvcsbj09vRs3bty7d+/u3bslJSW6uro+Pj7q6uo8DQcgHDZu3OhvGaKnp8d0EGiYh4eH/4WQ7du3L1myhOksAHyteZd+2dra2tra8igKgFA6d+7c48ePN03FvNH8S1FR0c7Obl3MvLlz5+JMVYAmNO/eE1VVVS9evHj48GFWVhaPAgEImcjIyBlev5ibmzMdBJri4+Pj3H7w/v37mQ4CwNfoFg35+fmTJ09WVla2sLCwsbHR1ta2srI6deoUT8MBCLrk5ORLly75+Phg3mg+p6mpaWVlFRkZWVtby2lZv359bGwss6kA+A2twxPFxcUuLi7Pnz/v2rVrr169lJSU3r9/f/bs2QEDBuzZs2fcuHE8DgkgqH799dcQ+/mYN1ogeHt7Jycnnzp1auDAgeR/M94CADdaRUNMTMzz58+3bt0aGhpKNWZlZXl6es6ePXvkyJGcqSEBgNv79+8PHz68b9FZcXFxprPA95mamhobG69bt45TNABAfbQOT1y/ft3R0ZG7YiCEaGlpRUdHFxYWPn36lDfZAATbr7/+OqLbDMwbLUD69u1769ata9euMR0EgE/RKhokJSUbnPaR04i77wDUl5OTs2fPHg8PD4zDCRArK6swj5/XrFnDdBAAPkWraHBzc7t161Z5eXmd9n/++UdNTc3S0pIHwQAEW3R09ECzib1792Y6CDQDi8Xq06fPuXPnHjx4kJ2d/fnzZ6YTAfAXWkXDtGnT9PT0hg4d+urVK05LZWXl7t27Fy9evHPnTklJSV4mBBA8RUVF27dvd3FxUVBQYDoLNE+vXr0mOi1av379tGnTcJY3QB2NHlkIDg6+e/cu9bSqqurt27eJiYkqKipKSkqZmZnV1dVKSkoLFy7U0dHp1atXm6QFEAxbtmzx0h3p6enJdBBoNjExMR8fn5G/eOHrA6iv0aJBXFyc+2QFCQkJ7sMQnTp1oh7jAnQAbuXl5TExMfP81uH2VALKyckpyCb86uujZmZmTGcB4C+NFg179uxpyxwAQmP37t0OKgN8fHyYDgItJCkp6eHh8fv6KH19faazAPCX5k0jDQBNq66ujoyM7NGjh6amJtNZoOXc3d11lYw/fPjAdBAA/oKiAaA1HTx40FrGp0+fPkwHgR8iIyPj5zwkKysrLy+P6SwAfIRu0fDixYuQkJDu3btramqq/duNGzd4GhFAULDZ7PXr11taWjY4rwkIlnlTFk80a7dlyxamgwDwEVrzMj148MDZ2bm8vNzMzKxTp05iYv8qNeTl5XmTDUDAnDx50rTasW/fvkwHgVagpKTk6Og4Y/PmuXPn4tJZAA5aRcPmzZvFxMRu3rzp4ODA60AAgmvNmjXOxoNxyr3Q8PHxCUxKiouLmzNnDtNZAPgCrcMT2dnZ7u7uqBgAmnD+/Pk7d+74+fkxHQRajZqamp2d3a+//lpWVsZ0FgC+QKto6NixY1FREa+jAAi0lStXzu6zCrOqCxk/P79B7Wp37NjBdBAAvkCraAgNDX306NHNmzd5nQZAQP3999/Xr1/v378/5joTGvOjpo1dHaOurt6rV69169ZhsAGA0DynwdLS8tixY8OGDfPz87OyspKVleV+1c/PT1tbmzfxAATDypUrZ/ms7NKlC9NBoNXkFmRXlRUQQvz8/O7evRsXFzdr1iymQwEwjFbRUFNTc/jw4aysrF27dtV/9fLlyygaQJRduHAhKSlpWUwshhmEkoaGRq9evSLWrp08eXKdP5kARA2tomHr1q27du3y8PAICgrS1NSsc8mllZUVb7IBCIYVK1bM8lnZtWtXpoMAr3AGG3bu3Dlz5kymswAwiVbRcOHChU6dOp0/f577FlYAQDDMIBo0NDRsbW2XrF07adIkDDaAKKN1IqSYmFjnzp1RMQDUt2LFipneKzDMIHwsTKysTY2pp/7+/gNVaxo8RAsgOmgVDR4eHo8ePaqqquJ1GgDBcvHixaSkJFw0IZT+M27Z2ilB1FPOYMOaNWtwGQWIMrqXXJqZmY0bN+7Lly+8DgQgQDjDDDitR0RwBht2797NdBAAxtAqGiZMmPD27dsDBw5oaGgYGBiY/9vdu3d5nRKAD/3zzz/Xrl3DMIPo0NDQ6Nmz5+rVqzHYACKLVtEgLi4uIyNjaWnZuXNnRUVFiX/DfzFBNC1fvhzDDKLGz88PZzaAKKN1buOePXt4nQNAsCQmJuKiCRGkpaVla2sbsWpVSEgIbn0JIojWSAMAcKutrV28ePGcfmtw0YQQ23ti+6ajZ+q3Dxw4cKg6Kzo6uu0jATAORQNAs/3xxx9G5b2GDBmCYQYhduX+hcTbD+q3t2/f3sXFZf369Tk5OW2fCoBZtA5PxMXFvX37trFXJ0+ebGxs3NirAEKmsrJy+fLlQTbhZmZmTGcBZvj5+Y2/dWvt2rVRUVFMZwFoU7SKhgMHDly9erWxV/v27YuiAUTH9u3bu0l5DRgwgOkgwBhFRUUvL69hm7fMmDHDyMiI6TgAbYfW4YlDhw694/L27dtr165NnTq1Q4cO169ft7e353VKAD5RXFy8evVqOzs7PT09prMAk3x8fGZ00/3ll1+YDgLQpmiNNGhpadVpMTIycnFxkZCQWLx48ZUrV1o/FwBf2rBhg6v60P79+zMdBBgmLS3dr1+/Pqt2zJs3z9LSkuk4AG3kh06EHD58+NWrV9+9e9daaQD4WV5eXlRUlJubm5qaGtNZgOf2rEg4H/lTEx3c3NwWOJguXry4zSIBMO6HigZxcXFCSFZWViuFAeBrK1eu9DUa27dvX6aDAF+QkJDw9/c/ceLEjRs3mM4C0EZaXjSUlJSsW7eOEGJoaNhqcQD41YcPH7Zv3+7j46OkpMR0FuAX9vb2v3h1X7hwIdNBANoIrXMa5s6dm5yczN1SUlLy4sWLwsLC4OBgbW1t3mQD4CPLli0bbjXdy8uL6SDAR1gs1oABA36a+UtiYqKvry/TcQB4jlbR8OrVq/v373O3KCoqdu3aNSgoaMKECbwJBsBHHjx48Pvvvx/86aKMjAzTWYC/dOvWbb2//bx587y9vSUlJZmOA8BbtIqG06dP8zoHAN9is9nh4eFT3Za6uroynQXazr2Umwo1z127WXy354gRI96uXr1ly5bZs2e3QTAABmEaaYDvOHDgQFJSUkBAAOfMXxARWw9vWPX7UTo99fT0HB0dly9fnpuby+tUAMxC0QDQlNLS0oiIiJ+Hb8G1+NCEQYMGjTNWWrp0KdNBAHirqcMT8fHx79+//+4qxo0bhwsoQFitWbPGTsl/6NChTAcBvqaoqOjr69t3ddykSZNsbGyYjgPAK98pGpq45QSld+/eKBpAKKWnp0dFRUVP3q+pqcl0FuB3Hh4ei5OSZs2alZSUhNufgrBqqmjYsGFDQUFBgy/V1NTEx8cfPnyYzWZj9wBhFR4eHtBlWr9+/ZgOAgJAXFx85MiRK6Yu+fPPPwMDA5mOA8ATTRUNjQ2yJSYmzp8//9mzZ/r6+itWrMAp5SCUrl+//tdffx1fcwOXWYqm/4xbplR7oVmLdO7cefOw3vPmzfPz85OXl+dRMAAGNe9EyAcPHnh4ePj5+X369Gnt2rWvXr0KDg7GSAMIn5qamunTp8/yWYmbuIosCxMra9Nm3/Z6+PDh/ZWrIiMjeREJgHF0i4b379+PHj3a1tb2xo0bs2bNevPmzYIFC/AXGAiruLg4k0r7wMBA1MTQLBoaGu7u7uvWrfvw4QPTWQBa3/eLhoKCgnnz5pmbmx88eDAgIODFixcbN25s3759G4QDYEROTs7SpUt79erVsWNHprOA4PHz85vWRWvOnDlMBwFofU0VDRUVFRs2bDAxMdmwYYOdnd3t27cPHz5sbGzcZuEAGDF79ux+hsHDhg1jOggIJFlZ2YCAgL/++uvYsWNMZwFoZU2dCDls2LDTp0/r6upGRkYOGDCAEJKXl1e/m7KyMmZcB6Fx9uzZgwcPHl9zA3ezFHG5BdnVtQXa7VVbsKydnV1soEdYWJi7u7uKikqrZwNgSlMjDd++fSOEfPr0acKECeqNw73kQWiUlJSEhYUtGBDp4ODAdBZg2PyoaePWxLR48ZEjRw7TEFu0aFErRgJgXFMjDc7OznRqZDU1tdbLA8CkiIgIWwXfMWPG4PxH+EHt2rUbOHCg94pto0aNcnFxYToOQOtoqmhYuXJlm+UAYNzdu3e3bNkSv+CMhoYG01lAGHh4eKy5f3/ixInJycm41gyEA25YBUAIIdXV1VOmTJnmvszLy4vpLCAkWCxWUFCQp2Th6tWrmc4C0DpQNAAQQsjatWtNKu2Dg4Nx/2toRbq6uj4+PmvWrHn8+DHTWQBaAYoGAPL69etVq1Z5eXkZGBgwnQX4hZ/L4EB3px9fj7+//2KXzlOmTKmpqfnxtQEwC0UDiLqampoJEyaM6Tmnf//+TGcBPjLMJ2iCn+ePr0dCQmLUqFHW397FxLT8WgwAPoGiAUTd2rVrNb5YjhkzRkpKiuksIJzMzMxcXV0XLVr09OlTprMA/BAUDSDS7t+/v3z5ch8fH3Nzc6azgDALCAhY5NRpxIgRZWVlTGcBaDkUDSC6SkpKRo8ePc19GWfCUwDekZSUnDhxort4wYIFC5jOAtByKBpAdE2fPt1axmfChAkSEk1NWALQKnR0dAYOHBgbG3v69GmmswC0EIoGEFEJCQnx8fGBgYFaWlpMZwF+ND9q2tjVrXzqopeX16ahbuPHj8/KymrdNQO0DRQNIIoyMjImT55NnVXiAAAgAElEQVS8fMRWzO8LjcktyM7KL2jddbJYrLFjx441Uhw3bhybzW7dlQO0ARQNIHJqa2uDg4MHmk0MDg5mOguIHCUlpbFjxxp+fBgbG8t0FoBmQ9EAImft2rWqWWYhISHy8vJMZwFR1KVLFxcXl/nz5+MKTBA4KBpAtFy8eHHZsmW4xhKYFRAQsNDRbOjQoV+/fmU6C0AzoGgAEfL+/fuRI0fO7//roEGDmM4C/M5Ax9i0gw6PVi4lJRUWFuavVBkYGIjppUGAoGgAUVFcXDxgwIBBnSZNnDhRTAz/z4fv+Dn019jZE3m3fjU1tUmTJpl8Sl68eDHv3gWgdeE/nSAS2Gz2hAkTLMV6h4WFKSgoMB0HgBBCOnfuPGjQoPXr1x88eJDpLAC0oGgAkbBixYrqp6rBwcG6urpMZwH4f3369IkL6jthwoT79+8znQXg+1A0gPA7efLk8uXL/fz8evbsyXQWgLrGjh27xNVi6NChOTk5TGcB+A4UDSDkXr16FRwc/FNAjL+/P9NZABogKSk5derUAE3xIUOGVFZWMh0HoCkoGkCYZWVl+fv7j+4xe/z48SwWi+k4IEj2nti+6eiZtnmvdu3aTZ482errm9DQUMwUCfwMRQMIra9fv/bt29ep3aCwsDAZGRmm44CAuXL/QuLtB232dmZmZkFBQZK3TuE2mMDPcHM/EE5lZWUDBgywFOs9c+ZMdXV1puMAfJ+jo2NFRYXHz7+2a9du4cKFTMcBaACKBhBCVVVVw4YN0/5qFTYrTE9Pj+k4AHS5u7sfKywcEhHBOWDBdByAulA0gLDh3I9K7oPB1GlTTU1NmY4D0DyDBg06VFk5MjRUWVl5+PDhTMcB+BcUDSBs5syZU5msPGFCSJcuXZjOAtASAQEBRUVFY8aMUVJS6tevH9NxAP4figYQKhERER/Pl40ePdrW1pbpLCDYYiP2qpGTjLw1i8UaN25caWlpQEDA+fPnnZycGIkBUB+KBhASbDY7PDz84/mywYMHu7q6Mh0HBJ68rIICYeyiGwkJiSlTplRUVPTp0ychIaFPnz5MJQHghksuQRjU1NRMnDgx/e/ygICAvn37Mh0HoBVIS0vPmjVrTT/bAQMGHDlyhOk4AIRgpAGEQEVFxejRo8kL9TFjgjCQC8JESkoqNDRURkZm1KhRX79+xfUUwDgUDSDYiouLhwwZovLZdOLkidbW1kzHAWhlEhISEydOlJOTGzN1amZm5s8//8x0IhBpKBpAgOXn5/v5+RmW2YZOD+3cuTPTcUCo3Eu5qVDz3LWbBdNBCIvFGj16tJqaWt/lywsKCjZu3Ig50YEpOKcBBNXz588dHBzMapzmzp2LigFa3dbDG1b9fpTpFP+vT58+5xdPqbhwcMyYMaWlpUzHARGFogEE0tGjR+3s7Lx0R/7nP/8xMDBgOg5AW/Dx8QkJCVF5csnJyent27dMxwFRhKIBBExNTc3ChQsDAwPn+a1bsGCBpqYm04kA2o6dnd3ChQt9Fcqtra1PnDjBdBwQOSgaQJB8+fKlX79+b04V7pp7IjQ0VFZWlulEAG2tQ4cOS5cuXdPPdvDgwQsXLqytrWU6EYgQFA0gMO7fv29jY6NV0HXmzJn9+/fHuWAgsmRkZEJDQ4+Fj/l68rchQ4YUFhYynQhEBYoGEABVVVXLly93dHQcbD45IiICpz1CG5g2fO7iMcOYTtEoFos1cODA0NBQgw8Punbtev78eaYTgUhA0QD87tGjR7a2tk+PZMWGHZ4/f3779u2ZTgQiwbaLIz9cb9m0bt26LV26dHYP/X79+k2YMAFDDsBrKBqAf1VVVa1bt87e3t65/eAFCxYMHjxYQgIziwD8i5qaWnh4+NUVsxQe/m1ubo6zI4Gn8J9g4FP3798fP368WY3TlulH/Pz8UC4ANIbFYrm4uFhYWBj9/vugQYPGjh0bFRXVrl07pnOBEMJIA/Cdjx8/BgcH29nZ9dYMWLRo0cCBA1ExAHxX+/btZ82adW3lbOXkf0xNTaOioioqKpgOBcIGRQPwkcLCwoULF5qbm7Neahz86WJERIS+vj7ToUBElZQVF5eVM52ieThDDsuXL984xDV197rOnTsfOnSIzWYznQuEB4oG4AtVVVVxcXFmZmbvEoujJ+9fsWKFu7u7uLg407lAdE1fPXbo0vVMp2gJFRWVMWPGLFu2bKGj2ciRI3v16nX58mWmQ4GQQNEADCsuLt68ebOZmdn5jQ//479+xYoVQ4YMwaxNAD9IS0tr8uTJL3asGtSu1sPDw9vb+/z58xh1gB+EogEYk5mZuWjRIn19/Ws7XkxyjliyZMnYsWNVVVWZzgUgPMzNzSMiIu5GLnRjfenbt2+3bt3i4+MrKyuZzgWCCkUDMODx48chISFGRkYfzpWuGLV95cqVkyZN6tChA9O5AIQQi8WytbVdsmTJix2rJnVqf3v9fENDw7Vr1+bl5TEdDQQPTkqHtvP58+eDBw/u27cvOTk5xH7+7nknXVxc5OTkmM4FIBLMzc3Nzc0zMzMdL16888cm3WXL+vbtGxwc7O/vLy0tzXQ6EAws3h3isrS09PLy2rRpE4/WD4KirKzs2LFj+/fv//vvv4d0ntKlSxd7e/uuXbviQkrgZ3tPbJesujdrmB/TQXiiqKjo3r17t27dSk9P/zO7Zvjw4WPGjHFwcMAtXaBpKBqAVz5+/JiYmHjmzJlLly710Q8yNja2s7OztbWVl5dnOhoALerkL6Yj8FxmZubt27fv3Lmz/vYbXV1dX19fX19fb29v7KfQIBQN0JpKS0vv3r17/vz5M2fOPH36dKjFVGNj465du1pbW2tqajKdDqB5RKFo4GCz2a9evXr8+HFKSkpubu7ed9/c3Nz8/Pw8PDwsLCzExHD2G/wXxofhR2VnZ9+8efP69es3b9588OCBv0mIvLz8KOtZVmOtLCws8PcKAP9jsVicMx4IIVlZWcOePk1JSXkZt3rWrFmqqqqOjo5OTk7Ozs49e/bE5dAiDiMN0DxsNvvdu3dPnjxJTk7m/JuWljbYfLKKioqJiUnHjh1NTEz09PTwpwkIAdEZaWhQeXl5WlpaWlramzdv3r9/H5P8SUpKqmvXrt26dbOysrKysurWrRvucCFqMNIATfny5QvnPxlv3rxJTU198+bN8+fPi4qKBptPlpOTM+3g6N4n0MDAoGPHjmpqakyHBYDWJCMjY2lpaWlpSQipra2d8/FjWlpaenp6Rvqj13cTn1dXe7zM09PTMzc35/y10LFjR84DGRkZprMDr2CkQdQVFRVlZ2fn5eXl5eVlZmZmZmZ+/PgxMzMzIyMjIyOjqKiIEDLYfLKCgoK6urqGhoa2traurq6enh5mYQLh9vO2/7AqnsXOnsh0EH5UU1OTlZWVkZHx6dOn7OzsnJyc3NzcqqqquJd5LBZLS0tLV1dXR0dHX19fR0enQ4cO6urqmpqa6urqampqKCkEGkYahAGbzf769Sv3v5WVlSUlJYWFhWVlZaWlpV+/fv327VthYeHXr1+pfzmFAuc+eIPNJxNCWCyWkpKSioqpoaptO5N2ysrKampqGhoa6urqmE0BRM2HzLdVZZlMp+BT4uLiurq6urq6VAvnvzxzc3NzcnIKCgry8/MLCwsLnl/LvlHwvqyMEBL38r9zSSkoKGhoaKiqqqqqqqqoqCgrK3P+VVBQkJeXV1FRkZWVlZWVVVVVlZSUVFBQ4P6Xma0FLgJZNHz58uXXX39lOsX3cfaipvsUFxdXVVXVaSwsLKytraWeckoBzuOCggLuNXOKg/qr5RQBFBkZGWlpaTm5dhqyugaysrL6snJycgpclJSUOP/iHlEA0AIsFotTB5iZmdV5qaKiorCwcEHxf3379q2oqKjsv7JLM96Vvi79WlaWVV5eXV1NLUUVGXVwxjipGkJKSoo621paWpr7zxsZGZn6p23Ky8tLSUk1sSESEhKKiop0N5s5urq6M2bMaPv3FciioaSk5M8//2Q6BV0N/h+Xm4qKSp0JVbh3A0KIjo4ONaAnJyfHmbtNUVFRQkKCxWKpqKgQQji/99S/kpKSnMpdVlZWIHYAAH4jrUaqijWJ6xCmgwg8aUI0CNGg0bO2trawsLCkpKSsrGxyUVFZWVl5eTn3v1VVVcXFxYSQ0tJSzigp999d37594y47CgoKysv/dXPzioqK0tLSJgLU+YONn3Xp0gVFA136+vppaWlMpwAAgNYkJibGGa5gOgg0SiCLBgAAXtPU1MRBdIA6UDQAADRg69atTEcA4DuYgQcAAABoQdEAAAAAtKBoAAAAAFpQNAAAAAAtKBoAABqwf//+3bt3M50CgL+gaAAAaMCxY8eOHDnCdAoA/oKiAQAAAGhB0QAAAAC0oGgAAAAAWljU7RNbnYaGhqampqOjI4/WDwDAOxcuXKiqqvL19WU6CEBb8/f379+/f4Mv8XAaaWlp6a9fvz548KDV15yamqqgoKCtrd3qa4a28fr1ayUlJS0tLaaDQAu9evVKWVlZuL9Bzu1hefFfMH7w6tUrFRUVTU1NpoNAC718+bJdu3YaGnTuHtpsNjY2jb3Ew5EG3rGwsPDx8dm4cSPTQaCFzMzMBgwYEBkZyXQQaCFjY+PAwMC1a9cyHQRaSF9fPzg4eOXKlUwHgRbS0dGZPHnyzz//3Mbvi3MaAAAAgBYUDQAAAECLQBYNDg4OZmZmTKeAlnN0dDQ1NWU6BbSck5NTx44dmU4BLefs7GxiYsJ0Cmg5FxcXY2Pjtn9fgTynAQAAANqeQI40AAAAQNtD0QAAAAC08HCehh9XU1OTlJRUp9HR0VFKSqqJpVJTU/Pz8zt16qSiosLLdEBXXl7eu3fvVFVVDQ0NJSQa/b9cy75u4Klm7U3Y9fgNdj3Bxb8/f2w+9u3bt/qBP3/+3Fj/9PR0Ozs7Tjdpaek1a9a0ZVqo7+zZsz169KC+O21t7T/++KOxzs39uoGnmrU3YdfjN9j1BB3f/vwJwOGJ6OjoXC5NTGEWGBj46dOnO3fuFBYWLlq0aNGiRQkJCW0ZFeq4fft2586dT58+/f79+xs3bpiYmAQFBV2+fLmJReh/3cBTzdqbsOvxG+x6woEff/54VIy0Ck6ptXPnTjqdr127RgjhrqZ79uxpa2vLs3TwfVVVVdxP8/LyxMTEJk+e3GDnZn3dwFPN2puw6/Eh7HqCjm9//gRgpCErK+vcuXPXrl0rLi5uotulS5cIIX5+flSLv7//vXv3CgsLeR4RGlHnMGr79u0VFRXLy8ubWITm1w081ay9CbseH8KuJxz48OdPAIqGpUuX9uvXz83NTUtLKyoqqrFub968UVdXV1ZWplo4k8+kpaW1RUqg4e+//y4sLHR3d2+iD82vG3iqWXsTdj3+h11PQPHhzx9fFw2SkpLbtm179+5daWlpcnKyq6vr3LlzDx482GDnb9++KSgocLdwnjZ4Ogm0vby8vMmTJ/fs2TMoKKjBDs36uoGnmrU3Ydfjc9j1BBHf/vzx0SWXiYmJtbW1nMeurq5KSkrS0tJTp07ltFhZWSUkJJiZmcXExIwcObL+4hISEtXV1dwtnKeSkpI8Dg7/Vf8bpF769u2br69vbW1tQkJCY5d+NevrBp5q1t6EXY+fYdcTUHz788dHRcOQIUOozX7w4EG3bt3qdJCVle3Vq9f169cbXFxLSys3N5fNZrNYLE5LdnY2IQTnALeZxr7B0tJSf3//jx8/JiUl6evr01xb01838FSz9ibsenwLu57Q4J+fPz46PFFeXl79P/UrBo6srCzuv1+5WVtbl5eXp6SkUC33799XVVU1MjLiSVyop8FvsKKiYvDgwSkpKRcuXGjuTaqa+LqBp5q1N2HX40/Y9YQMv/z88eKSjNby5s2b8vJy6umff/5JCAkLC+M8raqqunz58uvXrzlPc3JyZGVlJ0yYwHn66dMnJSWlKVOmtHFm4FZVVTVgwABFRcU7d+40+Cr3N9j01w1tqem9Cbse/8OuJ+j49uePr4uGBQsWqKmp+fr6jh071snJiRDSuXNnziAMm80uKCio8//s6OhoQoivr294eHiHDh06dOiASc2YtXTpUkKIvb19GJeYmBjOq3W+waa/bmhjTexN2PX4H3Y9Qce3P3/iP//8c+sPX7QSHR0deXn5wsLCnJwcDQ2NadOmbdu2jbqqpLq6+ubNm05OTvb29pwWe3t7Ozu7ly9fpqene3l5xcfHa2lpMRcfyKNHjyoqKiQkJHK4yMrK9unTh9T7Bpv+uqGNNbE3Ydfjf9j1BB3f/vyx2Gw2L9YLAAAAQoaPToQEAAAAfoaiAQAAAGhB0QAAAAC0oGgAAAAAWlA0AAAAAC0oGgD43bt3765cuVJaWsp0kLr4NhgA8Agf3XsCQFhlZGS8efOG85jFYikqKpqamioqKtJcfPfu3atWrXrx4oW5uTnPMrZEqwSrra3NyspKT0+Xk5PT1tZWU1NrxYQA0LpQNADw3NGjR8PDw7lbJCQkhgwZsmXLFoH+jdTT07Ozs5OVlW3Z4mw2e+vWrevWrUtPT6cajY2NZ8+ePWPGjFbKCACtCUUDQBtZsmTJwIED2Wx2RkbGli1bjhw5kpWVdfXqVaZztdyUKVOmTJnS4sVXrlz5008/devWbeXKlZ06dSotLX3z5s3p06eTk5NbMSQAtCIUDQBtxMDAoGfPnoQQW1tbPz8/MzOza9euvX371tjYmBDCZrNfvXqVn5+vo6NjaGjY2EpevHiRnZ3t4OAgLS3N3f7s2bPc3FxnZ2cJif/u1GVlZSkpKVJSUpaWlhISEnfu3JGQkLCxsamzwvT09IyMDAUFBQsLC3Fxcao9NTX106dPjo6OUlJSqampeXl5RkZGdSamfffu3YcPH3r16iUnJ8fd/vnz5w8fPsjJyRkZGTVxFCYmJkZBQeHq1avU5Lju7u6TJk2qra2t37mJdTbx0XFvxevXrzMzM01MTPT09JredgBoFC9uaAEA3Dj3ktm5cyd3I+cuADdv3mSz2UeOHOnQoQO1V3br1u3u3btUz8WLFxNCXrx4wWazd+zYQQjZv38/96qqqqq0tLS6du1KtWzZskVBQYGzNi0trdOnT5uYmNjY2HAvdfPmTe4aQk1NbdeuXdSrYWFhhJDExMSuXbtKSUlJSkqyWCzOL3qDwah12traUuuUlJScNm1ag59JbW2tpKRkx44dv/vpNb3Opj86zlYcO3bM1NSUxWKJiYkdOXLku9sOAI3B1RMADMjPz3/w4AEhxNDQ8MSJE4GBgbKysidOnHj+/PmuXbvev3/v4eHx6tWr+guOHj1aSUkpLi6Ou/HkyZNZWVmTJ0/mPD18+HBYWFinTp0uXrz48uXLn376KTg4OCcnh3uRe/fuubu7V1ZWHj169OXLl0lJSXZ2dhMnTjx06BB3t5CQkJ9++qm4uLikpGT+/Pk7d+48cOBAYxt18+bN3r17v337dtu2bcnJyY8ePdq1a1dj9z1isVg9e/Z88+bNmjVrvn371rJ10vzoJkyYMH/+/MLCwrKyMi8vL5rbDgANYLpqARB+nJGGkJCQPXv2/PbbbytWrDAxMSGEjB49ms1mm5ubS0tLp6enU/1PnTpFCBk1ahTnaZ0/6Dl/Pb98+ZLq37dvXzk5ua9fv3KempqaKikpFRQUUB04RQb3SIODg4OGhgb37Y8rKys7d+5sbm7O/S4bNmzg7qCqqtq3b1+qpU4wGxsbcXHxJ0+e0PxYkpOTOcc7xMXFu3fvPnbs2N27d1NbQWed3/3oOFuxePFi7qW+u+0A0BgUDQA8xykaKCwWy9TUdMWKFRUVFR8/fiSEDBo0qM4iurq67du35zyu89v89OlTQsi8efM4Tz98+CAmJjZu3DjqKSEkKCiIe23l5eViYmJU0ZCdnU0I6d2799l/69evHyGEU21wfm7r/Frb2Nhw/7JyB/v06RMhxNfXt1mfTHFx8W+//TZq1KhOnTqxWCxCiIqKyqlTpzivNr1OOh8dZyvu3LlDvUpn2wGgMTgREqCNbN68ecyYMSwWS05OTlJSktOYmZlJCDEyMqrT2djYOCkpqbKyUkpKqs5LXbp0cXZ23rt376pVq6SkpHbt2lVbW0tdxfD582dCiL6+Pvci0tLSmpqa1FNOYZGUlHTr1q06K5eWli4qKlJRUeE8VVdX535VRkYmKyurwa3LyMgghJiZmTX5GdQlLy8fEhISEhJCCMnLy4uPj1+0aFFQUNDLly+1tLSaXif9j05XV5d6lf62A0B9OKcBoI3IysqqqKgoKytTFQOnkRBSVFRUp3NhYaG4uDh3T25Tp07Nzc09fvx4TU3Nnj17unbtam9vz3lJRkaGEFL/LAHuFs6VF+PGjStvSJ2Cg/7WEUK+fv3agmU51NTU5s2bN378+MLCwmvXrn13nfQ/Ou4rI3ix7QCiA0UDAJPMzMykpaVv377NZrOpxry8vNevX3ft2pUzYl/fsGHD1NTU4uLiEhMTMzIyuCdLMDMzk5KSunfvHnf/Fy9eFBcXU087deokLy9/6dKlysrK1tqQTp06KSgoJCUlVVVV/ch6lJSUyP9KgabX2bKPjhfbDiA6UDQAMElGRmb06NHPnj2jznuoqqqaPXt2eXn5xIkTG1tKWlp6/Pjxly5d+vnnn+Xk5IKCgqiXZGVlAwMDb9++/ccff3BaysvL586dW2fxsLCwd+/eTZ8+vby8nGrPy8s7e/ZsyzZESkpq6tSpaWlp8+bN4/6NT0tLa2yR0NDQx48fc7c8evRo7969YmJirq6u311niz+6Vt92ABHC9EkVAMKvwXkaKPn5+dbW1oSQHj16DB8+nHNhRWBgYE1NDadD/ekQ2Gx2Wloa54/pkJCQOivMysrirMTFxWXkyJGGhobu7u4GBga2trZUn8rKysDAQEKIlpaWv7//8OHD7ezspKSkPD09OR04pxB+/vyZe81OTk66urrU0zrBysvLfX19CSH6+vqDBw8eMmRIx44dnZycGvtYOOcc6Orqent7+/v7d+/enRAiLi7OfclG0+v87kfX4FZ8d9sBoDEYaQDguQ4dOri5uWlrazf4qqqq6q1bt3bs2GFiYpKfn+/k5PTXX38dOnRITOy/u6eRkZGbm1udWReNjY3d3d0JIfUnctbU1Lx///7y5csVFBRKS0tnz5597ty5goIC7okUJSUlDx8+/M8//wwbNqy6urq4uNjKymr79u0HDx7kdDA1NXVzc6tzGqa1tbWDgwP1tE4waWnp06dPHz9+3NPTk3M0JCAgICYmprGP5fPnz4cOHRo6dKiSklJ5ebmJicmyZctSUlLmzJlD9Wl6nd/96Brciu9uOwA0hsXmOhwIAIKipqbGyMhIVVWVzp0a0tLSOnbsOG3atC1btrRBNgAQVhhpABBIf/zxR3p6+vTp0+u/xGazHz16RD0tKSmZNWsWIYQzJg8A0GIYaQAQMGvWrElJSTl27JiBgUFycnL9iRyqq6slJSVtbGwsLS1LS0tv3ryZmZk5c+bMTZs2MRIYAIQGRhoABMz79++zs7MnTJhw8eLF+hUDIURCQiI+Pr5Hjx5fvnwpKiry8/M7d+4cKgYA+HEYaQAAAABaMNIAAAAAtKBoAAAAAFpQNAAAAAAtKBoAAACAFhQNAAAAQAuKBgAAAKAFRQMAAADQgqIBAAAAaEHRAAAAALSgaAAAAABaUDQAAAAALSgaAAAAgBYUDQAAAEALigYAAACgBUUDAAAA0IKiAQAAAGhB0QAAAAC0SDAdAEAIbdy48fjx49TT8PDwgQMH1unz+++/7969m/N469atFhYWbZePPwI07fr160uWLOFuYbFYsrKympqaPXr0GDZsmLa2NverP7I5fP5RAPAPFA0Aray2tnbDhg0ZGRlUi7S0dP2i4cOHD1evXuU8Lioqart8rRfg06dPo0eP5jwePnx4aGhoq4UjJC8vj4pXR3x8/IIFC7Zu3Tpu3Diq8Uc2h/HvAkBQoGgAaGVXr17lrhgIIf/8809WVpaWlhZTkXikrKyM+q3t2bNnG7/1pEmTHBwcOnXq1JbvCyDicE4DQCv7448/6rTU1NQcOnSIkTDCoW/fvk+fPn3w4MGePXvat2/Paayurj569CjVZ8SIEaf+x9zcnKGkAEIOIw0AramioiIhIYHz2NnZ+c2bN1lZWYSQP/74Y/bs2U0s+OXLl7i4uDt37tTU1PTq1WvatGnUryPHx48fDx069OjRoy9fvkhKSrZv397Q0LBnz56Ojo5qamrcPcvKyo4cOZKUlJSZmUkI0dbWdnZ2Hj58uJyc3HfzR0VFnTx5kvP4zz//VFdX5zxesmTJ9evXOY+vXLlCCPHx8SksLKQWPHz48P379zmPFy9e7O3tTX0gR48evXr16qdPn2praw0MDPr27TtgwAAxsWb8xaKsrNylSxdCSI8ePTIzMxcvXsxpT09Pp/rcunWLOi/B2NhYRUWF85j+51YHZzCDM2jEYrEWLVrk4+NDPzOAcGIDQOuhKgZCSExMzLRp06inr1694u65YsUK6qWdO3fWOa1PU1PzyZMnVOfjx49LS0s3uAvPnTuXe7Xnz5/X1NSs301dXT0xMbGxALdu3eI0TpkyhWrMyMigOnOfk8FpaSwPIeT333/n9Ll8+bKOjk79Dj169Hj//n3Tn+SxY8eo/sOHD6faqcqAELJo0aKmN4fm51Z/2YqKij59+lCNa9asaTotgIjA4QmA1kQdmxATExs6dGhAQED9l+qbPn3658+fWSwW1ZKdnT148ODS0lJCSE1NzZQpUyoqKgghEhIS1tbWPXv21NDQqL+eW7du9e/fPzs7m8pA/UGfm5s7aNCgmzdv0t8W7jz1qaioKCoqUk+lpaWV/0dKSooQcv/+/X79+nFGO1gslqWlpaWlJafzw4cPfXx8vn37Rj8M5dq1a54tQOgAACAASURBVNRjV1fXJnrS/9zqqK6uDgwMPH/+POdpVFTUwoULWxAVQPigaABoNYWFhWfOnOE8dnJy0tbWdnV1pf7ub6JokJSUTEhIKCsre/bsWbdu3TiNaWlp+/btI4RkZGRQdcClS5cePnx479697Ozs7OzsuLg47jMQZ82aVVlZyXm8ePHiwsLCoqIi6sLFysrKpg+R1NH0EYSsrKyHDx9ST6dPn/71fwIDAwkhM2fOLC8vJ4TIyspeu3YtJSUlJSWFOgvh9evXGzdupJnkyZMnCxcunDNnjqen5969ezmNAwYM6Nu3bxNL0f/cuNXU1AQFBZ04cYIQwmKxYmNjw8PDaeYEEH5MD3UACI9du3ZRe9bmzZs5jdwXIlLD5ux/D4kvWLCAauceDPD19WWz2cXFxdQf/RMnTrxy5UpWVlb9d3///j21oJWVFfdLVlZW1Evv3r2rH6DBwxOfP3+m1lD/8ASbzU5NTaUa6xwl+fDhA/VSSEjINy6dO3fmtHfp0qWJD5P78EQdCgoK69atq6ys5O5ff3Nofm51lqWKCRaLFRcX10RCABGEkQaAVkONJbBYrKFDh3Ie0zlC4eTkRD22s7OTkPjvGcqcX2V5eXnqvMJdu3b17t1bS0urXbt2vr6+8fHxNTU1nJeeP39OrcTZ2bmx9b98+bIl29ZMz549ox7v2bNHkcuLFy+oJGw2uwUrLy4uPnfu3HePbtD83OqgTufcvHnzpEmTWhAPQIihaABoHZ8+faImLZCTk5s/f35QUFBQUFBcXBzV5/Dhw9XV1fWX5T45QExMjLrMgTO8TwjZt2/fwIEDuY8XFBQUnD17NiQkZOLEiXU611lhnadlZWU0t6i2tpZ63Nwpj+i8S3V1Neekje9yd3e/fPnyvn37ONdQEEIuX748duzY7y5I53NrzKFDh2jGAxAduOQSoHUcPHiQ+pUtKSlpcFAhNzf377//9vX1rdPOfWTh69ev1C80ddaepqbm8ePH8/Lybt68+fLly9evX585c4ZzMWd8fPyyZcsMDQ25L5rgXiEhhPtgQYPXVlDExcWpxyUlJZwHtbW1r169amKp+rjfJSgoaMKECQ12k5GRobM2DQ2N3r17E0L69u1rYWGRl5dHCDl9+vS5c+eaPq2BzudWZ5HevXtzrim9cePGkCFDTp48yTmvEwAIRhoAWksT5zl+t1tcXFxVVRXn8bZt26h2Ozs7zgPOhARqamoDBgyYP3/+rl27uNfDOYphY2NDDVGcOnWKc9kCISQzM/PUqVOcx3Jycj169GgiXrt27ajH1HUKcXFx1Nq4cf+aFhcXc7/Us2dPeXl5zuNHjx7Z29v3/jdDQ0NJSUnuGoUOdXX1pUuXUk+XL1/edH86n1sdq1evHjlyJOfx+fPng4KCuEdcAEQcRhoAWsHz588fP37MeWxvb79mzZo6HcaMGcOZJujEiRMlJSXUDyrHrVu3HBwcfHx83r59e+TIEU4ji8Wi/kA3MTHp1atX//79zc3NlZWV8/PzY2NjqcU5UzBJS0uHhYX9+uuvhJDS0tJevXqNHTuWxWLt3buXGmYPDQ1t+o977msKwsLCLly4UFBQcOHChQY7a2pqSkhIcA64HD58WEtLizNdUmhoqLS09PTp09etW0cIefbsmYuLS2hoqKGhYWlp6fPnz//+++8rV64sWbKE+2QLmiZNmrRy5crc3FxCyO3bty9duuTh4dFYZzqfWx0sFis+Pj43N/fixYuEkD///FNZWXnnzp3NzQkgnJg+ExNAGERERFD71JYtW+p3mDlzJtVh//797H+fsW9jY1N/35wzZw61eBN/kbu6ulLdysvLOcP4jfUsKyujOjd49URFRYWJiUmdBZWUlMzMzBr8j0a/fv3qvxHnXSoqKpqeQnHZsmVNfKSNTe7EZrNXrVpFveTp6dnE5tD83OovW1RUZG1tTTXWuTYEQGTh8ATAj2Kz2QcOHOA8FhMTGzJkSP0+1MUUhJD9+/fXeXXTpk1Lliyhhh/k5eWXL18eGRlJdRg7dqy5uXmd2ZZUVVWnT59++vRpqkVaWvrChQvr1683MDDg7qmnp7dmzZqLFy9+9xwCKSmp06dPd+/enWqxs7NLSkqirpOsY9u2bdQxlPqrOnv2bExMTP07QZiamk6fPn348OFNh2lMWFiYsrIy5/E///xz586dxnrS/NzqU1RUPHv2rLGxMefphg0bVq5c2bK0AMKExW7RJU8AQKmsrKQmV5CRkbG3t6/fp7a2ljpFQEJCwtnZ+cOHD+/eveO09OjRQ0lJqbS09OXLl7W1tRYWFg3eJ6K4uDgrK+vLly+1tbXq6upGRkZN/CWdnp5O3XtCX1+/fof6AbhfffPmTU5Ojq6uLqf+SElJ4Zx+SAipP5iRnp6enp5OzSvl6upaZ2KonJyc9PT0qqoqDQ0NbW1tWVnZxmJT8vLyUlJSOI81NDQsLCy4X+XOY2BgYGRk1MTmfPdza2zZz58/U2eAslgsJycn6mpYANGEogEAAABoweEJAAAAoAVFAwAAANCCogEAAABoQdEAAAAAtKBoAAAAAFpQNAAAAAAtKBoAAACAFhQNAAAAQAuKBgAAAKAFRQMAAADQgqIBAAAAaOHhzVfmzJnTtWvXkJAQ7sbq6uri4uKWrVBWVlZaWro1ogEAAECz8bBoOH/+fE1NTZ3Gs2fPDhgwoGUrXLly5eLFi384FwAAALQEM7d5XbR+npKy0vf7cVkxZw2PwgAAAAAdzBQNbn1cNLTVm7XI2oWRPAoDAAAAdAjniZBsNjs1NfXmzZuPHz8uLS1lOk6j3r17d/PmzVZf7Zs3b27fvk3nTXkUAAAAhJKwFQ01NTVr167V0tIyMzNzcnKytrZWVlb28/O7d+8e09EasHv37iFDhrT6amNjY0eMGEHnTXkUAAAAhJJQFQ1sNjsgICAiIiIwMPDOnTvZ2dlpaWl79uzJzc1dt24d0+n4kb29/fjx45lOAQAAgoGZcxp4ZM+ePceOHYuNjQ0LC+O0aGhoGBsbjx49+vr169w9Kysrnz17VlVV1aVLFzk5Oar9zZs3eXl59vb2+fn5qamp+vr62tradd6FzrKvX79WVVXt1KkTIYTNZr979y43N1dPT09HR4fmtlBry8nJSUtL69Chg56eHvXq8+fPKyoqrK2tqZZ79+4pKyubmZlxr+TLly+pqam6urrcy3KztLRs164dd0tVVRVn5YaGhhoaGjTTAgCAKBCqkYbt27fr6+uHhobWaWexWC4uLtTTbdu2aWpq9ujRw97eXlNTc+fOndRLnIH9FStWdOzYMTg4WE9PLyQkhM1m0192yZIl+vr6o0ePPnLkCCHkzJkz2traJiYmjo6Ourq69vb2qampdLaFs7Y5c+Z06dJl6tSpxsbGwcHBVVVVnFd/+eWXGTNmcPcPCQmJioribomMjNTW1nZyctLX1+delludwxNbt27V1NTs3r27vb29lpZW/U8SAABEmfAUDVVVVQ8fPnR1dRUTa2qjDh48OG3atEmTJuXl5RUWFoaHh0+ZMiUpKYnq8PHjx+Tk5E+fPr169ercuXPx8fHHjx+nv+zDhw+zsrLS0tIiIiIIIRoaGvv378/Pz6+urn716pWSklJgYCDNLfrw4UNqamp6enpycvKtW7eOHTu2ceNGmst+/vz5wIEDKSkppaWle/bsOXjw4HeX3bt3b1hY2MiRIzMyMiorK58+ferm5kbz7QAAQBQIT9FQUFBQU1OjqalJtZSVlZ3+n7Nnz3IaV6xY4ebmtn79+vbt2ysqKv7yyy89evSIjY3lXtXWrVtlZWUJIV5eXhYWFpcvX6a5LJvN3rJli4KCAiFEXFycEGJra+vl5SUmJpaSkpKfnx8YGPj48eO0tDSaGxUVFcWZBLNnz54hISGRkXSvO62srNyxY4eZmZm0tPS4ceNGjRr13WVXrVrl5OS0ZcsWXV1dCQkJS0vLJs6mBAAAESQ85zRwflwrKiqolpycnEGDBhFCamtrpaSkysvLCwsLX7x44ezszH1FooGBwZMnT6inmpqa3MfytbS0MjMzCSF0llVRUTEyMuJO9enTp0mTJp09e1ZOTk5BQaG2tpYQkpGRYWJi8t0tUlRUNDU1pZ7a2NjExMTk5uaqq39/igs5OTlbW1vqqaur6759+5pYtqCgIDU1tc6c3wAAANyEp2hQVlZWV1d//vw51WJgYFBdXU0ImT59+q5duwghJSUlhJAjR46cPHmSe1nu8xPr3N6CxWJxVkJnWWVl5Tqpxo8f/+7du2fPnllYWBBCHj9+bG1t3eDpBfXJyMjUf1pYWEinaOCMdlCUlJSaXrasrIzqBgAA0CDhOTxBCPH397927dr79+8b66Curi4rKxseHp71bw8fPvzuyluwbG1t7bVr16ZOncqpGAgh9A9MEELy8vK+fv1KPX3z5o2YmJi+vj4hRElJifMzT8nOzuZ+mpub++3bN+ppWloatWwTW/fixQv68QAAQNQIVdEQEREhIyMTEBDAOaBA4QwVEEIkJSUHDx4cFxeXlZXF3YH797UxLVhWTExMSkqKu8P27dvpbAgHm83evHkz9S6//fZbnz59pKSkCCEdO3ZMTU3lDH4QQpKSkvLy8hpbtri4ePfu3dSyjW3dwIED4+PjX79+TTVWVlbSTwvCjc1mp6Sk7NixY+bMmYMGDfL29vb29h41alRERMSRI0fq1KwAIKyE5/AEIaRjx44nTpwIDAw0MTHx8PAwNDQsLS19/vz53bt3qVtrRkdHu7m5mZubDx06VEdHJycn5/bt2x4eHtHR0d9dfwuWDQkJiY6O1tLS0tHR2bt3b52Co2mampqcKyCMjY2PHz+elZV17Ngxzkvjxo1btWpVQEBASEjIx48fd+3aVWdOBQ0NjX379j158sTIyOjEiROZmZkJCQlNv11UVNTdu3dtbGyGDRumo6Pz+vXrqqoq6soREFlpaWlxcXEHDx5MT08XExfTN+qg3UFLQUmhpqb25bvnFy79nZf9RUxMzM7ObuzYsaNHj65zaAwAhIlQFQ2EEA8Pj7S0tP3799+4ceP169fy8vKenp6xsbHUWYEaGhoPHjz47bffrly5kpGRoaWlNXXq1KFDh3Je7dixo729PfcKu3XrxrmSogXLEkI2bNhgbGycmJjIybZ27dqJEyeqqqpyXjUyMnJ0dGxsW2RkZK5evbp+/frHjx87OjqGh4d37dqVSnLv3r3o6Ojdu3ebmZmdP39+2bJl1MxOHTt2dHd337RpE2dZBweHI0eOUMtyvyn3Y21t7YcPH27fvv3GjRs5OTnGxsajRo1qzmcPwub169fLli07cuSIvKKc90DPBb7h3e26ycnL1umWnZlz5+q9v0/8My1sWkRERHh4eHh4uLy8PCOZAYCnWNwzF7UuS0tLLy+vTZs2cTeeOnVqwIAB55JPNPcul+6d+v5n7vzFixe3akb+NXv27OPHjzdxfgYA75SWlv78888bN25UVVMZPyt4wEg/GVmZ7y716WPm71sOHPvjlIa6xsaNG4cNG9YGUQGgLQnVOQ0A8OPu3bvXvXv3TZs2jp8dfOLOkcDxQ+lUDIQQXX2dhevmJVw/YGxpGBAQMHz48IKCAl6nBYC2xMzhieWzV0tLN3pSXoNKivn3Dte80ODBDgBei42NnTt3rkln44OX9hqZGbZgDR0MdTft/zXx6Pl1izbY2NgkJCRw3yQFAARaW480aGho9OnTR0lKRZot16z/eXp40pkQSWhMnz790KFDTKcAEVJdXT1lypQZM2YMCuoff2ZHyyoGiu+wPgcuxksrSDo7O1Mn8AKAoGvrkYaKiorPnz+3bNni4uLWDQMAHGVlZYGBgWfPnV2yYeGQMQNaZZ26Bjq/nd6+ZNovw4YNi42Nxf3PAIRAWxcNhYWFT548sfcJkJKV+35vLjcTD+JacABeKCkp6d+//63bt6L3rXf2cmjFNcvIyqzfvXJ9RPS0adNKSkrmzZvXiisHgLbHzDkNg6csUVHTbtYiDy6f/H4nAGimsrKy/v3737l7O+bgBhvH1j/5QExMbOHauXLysv/5z3/ExMTmzJnT6m8BAG1G2OZpAAD6qqurAwICbt66GXsoihcVA2Xm0mm1NbXz5s1TVlaeMGEC794IAHhKqC65jIyMZP2PioqKra3tH3/8wes3XbJkiZaW1g8uyP149uzZhoaGrRUPoAlTpkw5//f59btX8bRi4Ji1LGzQ6P5Tpkw5c+YMr98LAHhECEca4uPj27dvX1BQEB8fHxQUVFlZyf93fNbU1DQ3N2c6BYiW1atX//bbbz9vWuzi3ei0pK2IxWIt/nV+Xs6XESNGJCUlde/evQ3eFABal1CNNHB4enr6+/uPGTPm7NmzBgYGGzduZDrR982YMePKlStMpwARcvz48aVLl06YPXbASL82e1MxcbE1O37RNdQeOHBgTk5Om70vALQWISwaKFJSUj169KDuRv3w4UM/Pz9lZWU5OTlPT89Hjx5xdz5z5oydnZ2srKyqqmpAQAD3/M2c4wV//fVX165dpaWlTUxMfvvtt8betOl3aUwTxziio6MlJSV3797drPUfPXqUxWI9efKEu9Ha2nrQoEHf3d4RI0Y4OztzL9ilS5epU6fS2RAQCC9fvgwODnb1cQpdOKmN31pOXjZ63/ri0m+BgYHU7WcBQFAIc9FACHn//r22tjb5P/buPB6q9Y8D+DOLfcu+hyyJtGgXSaSFLCGtIiKVosUaJZL2RJZslbS5dYs2LbcVbVSIum0qipJ9Z2Z+f8z9ua6kUXPmmPF9v+4f1zNnzvMZL81855xnQejx48f6+vp1dXVJSUmnT58mEomGhobv3r2jH3bx4sU5c+ZISkqmpaVFRETcv3/fwMCgqqqq8zwVFRWBgYHJycnl5eVr1qxZvnx5j9s/9t7LL/D39/f3909LS6OPHWP8/FZWVrKysocOHepsefTo0dOnT11dXRl5vYCDNTY22traikuLhhwMIhJxeAeQUZAOjw+5l3Vv4GwlAwDH4MAxDXV1dTU1NTU1NfHx8U+ePPH29kYIeXt7KygoXL9+nYeHByE0ffp0DQ2NPXv2REVFIYSCgoK0tLTS09Pp76GjR48eOXJkTExM55taS0tLdHT02LFjEUJr1669d+9eYGBg57f2Tr330icUCmXFihWnT5++cuWKoaFhX89PJpNdXFwOHDiwc+dOfn5+hNChQ4cGDx48c+ZMRl4v4GCrVq168/bN0cwEASHcNqIcO1l3lZ/brtBdBgYG5ubmeMUAAPQVB15p0NbWFhUVVVFRCQ8PX7Zs2ZYtW5qbm+/cuWNnZ0f/rEUI8fDwmJiYZGVlIYQaGhqePHliZ2fX+a1LR0dnxIgRd+7c6TwnDw/PlClTOn+cPn16YWFhfX19135776VP2tvbbW1tMzIybt++3Vkx9PX8rq6uDQ0Np0+fRgjV19efPHnSxcWFSCQy8noBpzp+/PiRI0d8tq9T0xyCb5KlqxfpTZvo5OT0y0vEAgBYjwOLhtOnT9+8eTMvL6+6ujoxMZGPj6+qqopCoezcuZO3iyNHjnz79g0hVFNTQ6PRug0pkJGR6Xq5XlRUlEAgdP4oLi6OEPr06VPXp/TeS5/U1NRcuXJl6tSpI0eO/OXzKygomJub0+9QHD9+vLm5edmyZQy+XsCR3r9/v3LlSlMrE8uF+H+5JxAIwZGbaESao6MjjUbDOw4AgCEceHti0qRJCgoKXVsGDRpEJBI9PT27rSrDxcVFf5RAIJSXl3d96PPnz10/Vr9+/dre3k4/Hv2/XJCTk2O8lz6RlJSMj4+3sLBwcXFJSEig1yu/cH53d/eZM2c+f/48Pj7ezMxMXl6ekdfLy8vbbYRaXV1dX18C6G+oVOrSpUt5BXgCdnnjneUfYhKim/f7r1204eDBg6tXr8Y7DgDg5zjwSsP3BAQE9PX1b926paamptkFfdtMQUFBXV3dU6dOUalU+vEFBQUFBQVTp07tPAOFQjlz5kznj6dOnRo+fLiQkBDjvfTV9OnT09PTjx8/7uLiQv8e9gvnNzU1HTJkiIeHR25urpubG73xp6938ODBJSUlnY++e/eurKzsF14C6FeioqLu3LmzOcJfSEQQ7yz/0jeZZL3EwtfX9/Xr13hnAQD8HAdeaejRnj17DA0Np06d6ubmJicn9+XLl/v378vKyvr6+iKEQkJCzM3NzczMVqxYUVVVFRQUpKio2HWSoYiIyMaNG6uqqoYMGZKSkpKVldXjbr+999JX9LrBwsICIUS/3tDX8xMIBDc3Nx8fn84hkHS9v147O7vQ0NCtW7euWrXqw4cPHh4efHx8v5Af9B9v3rzx8/OzcbCaaDge7yzdeW3xuH/zobOz882bN3GZzQEAYNxA+Sc6duzYBw8eyMjIeHl5zZ4929fXt7y8vHNs46xZszIyMqqqquzt7b28vCZNmnTnzh1RUdHOpw8aNCg1NTUxMdHKyionJ4f+P33t5Rd0u97wC+e3tbVFCDk7O3d9O+799ero6KSmpp46dUpRUdHJycnPzw+WtWZrNBrN1dVVWExo7eZVeGfpgYAg/6a9Pnfv3o2Li8M7CwDgJwjYDUHS1tY2MTGJiIjo2piRkWFhYbHjzLO+7nK5bs5QP+/1uMwJ9PT0PHfuXNflj9jIwYMHPT09S0pK6AMawAB0+PBhJyenA8f3MHfba+basmbb7cv3ioqKug0VAgD0KwPlSsMA9PLly0uXLoWGhi5YsAAqhgGrsrJyw4YNM6xN+nPFgBDyCl5NJBM8PT3xDgIA6A0+YxruZhzjExD6+XFdtLe1YBSGU7m5ueXk5EyZMmXPnj14ZwG48fHxaW1v3RCyFu8gPyEiKuIV7BG0OiQzM3PGjBl4xwEA9IzVRQOJROLl5b1+MrKvTyT+0txFpti/fz9b7HrVDeyABXJycpKTk73DvMSlxPHO8nNmdjPPpWZ4eHgUFBR0rmAGAOhXWD2mAQDAGlQqdfz48Q2tdanXkokk9rgR+br4zQJjx5CtIX5+fnhnAQD0gD3eSgAAfZWUlJSXl+cdto5dKgaEkNow1XlOc8PCwrottwoA6CfY5t0EAMC4urq6gIAAUyvj0RNH/vzo/sRtowuZmwxXGgDon6BoAIADhYWF1dbVrglciXeQPhMeJLTC2/nYsWOPHz/GOwsAoDsoGgDgNCUlJREREYvdF8gqyPz86P7HxsFKSW3w+vXr8Q4CAOgOigYAOE1AQICAEL+jx2K8g/wiEpnkGbTqzp0758+fxzsLAOA/oGgAgKPk5eWdPHly+YZlAoL8eGf5dQamk8dO1vXz8+u24SoAAF9QNADAUXx9fRVVFOYutsA7yO9aG7TqxYsXhw8fxjsIAOBfUDQAwDn++uuva9eurfRdTuZi+w1stUcPMzafGhwc3NzcjHcWAMA/oGgAgEPQaDR/f/9hIzVNLKbhnYU5Vvq6fi7/HB0djXcQAMA/oGgAgENkZGQ8ePBglZ8rgUDAOwtzKKsrmc+bFR4eXl9fj3cWAABCUDQAwBloNFpQUNCoCSP1pk3EOwszuW5YVltXC6vRA9BPQNEAACf4448/nj17ttJ3Od5BmExWQcZ60Zy9e/fW1NTgnQUAAEUDAOyPSqVu3bp1nMGYsZN18c7CfMs8lzY2NcLFBgD6AygaAGB7f/zxR2Fh4YqNLngHwYSUrOTcJZb79++Hiw0A4A6KBgDYG5VKDQ0NHW8wlu32pmKco8fipuamAwcO4B0EgIEOigYA2Nu5c+cKCgpcNyzDOwiGpGQlrRdb7N+/v66uDu8sAAxoUDQAwMZoNFpoaKjupFG6k0bhnQVbjqsXNTQ2HDx4EO8gAAxoUDQAwMYuXbr05MmT5eud8A6COWl56Tn2s/bt29fY2Ih3FgAGLigaAGBjYWFhw3W1JkwZh3cQVnD0WFJVXZWQkIB3EAAGLigaAGBXt27dys7OXua5FO8gLKKgLG9qabx79+62tja8swAwQEHRAAC7Cg8PV9McYjhDH+8grOO0ZklZWVlKSgreQQAYoKBoAIAtPXnyJDMzc6nHYo7ZaYIRasNUDUwn7969m0ql4p0FgIEIigYA2NLOnTtlFWRmWJngHYTVHD0Wv3jx4vz583gHAWAggqIBAPbz9u3btLS0xe4LyFxkvLOw2qjxI0ZNGLljxw68gwAwEEHRAAD72bdvn6CwoNUic7yD4MNx9aIHDx7cuXMH7yAADDhQNADAZiorK5OSkuycrPn4+fDOgg/96XrK6kq7du3COwgAAw4UDQCwmZiYmA5Kx3wXO7yD4IZIJC5xX3Dx4sXi4mK8swAwsEDRAAA7aWlpOXjwoPm8mWISonhnwZPZvFliEqL79u3DOwgAAwsUDQCwk9TU1C9fvixesQDvIDjj5uaat8wmJSXly5cveGcBYABhtGigUqkJCQnTp0/X0NCIiYmhN+7evTszMxOzbACA/6DRaHv37tU3maSsroR3FvzZOVnTEC06OhrvIAAMIAwVDTQabd68ecuXL3/27NmnT59qa2vp7bm5uf7+/ljGAwD86+rVq0VFRYtWzMc7SL8wSGzQHPvZMTExLS0teGcBYKBgqGhIS0s7c+bMjh07Kioqhg8f3tluY2OTl5dXXV2NWTwAwL/27dunoa023mAs3kH6iwXL7b5+/Xr8+HG8gwAwUDBUNKSnp48ePdrb27vbgrWqqqoIodLSUkyiAQC6KCoqunr16kI3e7yD9CMqGsp60ybu37+fRqPhnQWAAYGhoqGiomLYsGHft/Pw8CCEGhoamBwKAPCdiIgIMQnRmXNN8Q7Svyx0sy8oKPjrr7/wDgLAgMBQ0SAuLt7j5YT8/HyEkJycHJNDAQD+q6qq6tixY7aO1tzcXHhn6V8mGo5THaoSERGBdxAABgSGigYjI6N79+49fvy4yGPIigAAIABJREFUa2NdXV1ISIi6urqSEgzkBgBb8fHxHR3ttkut8A7S7xAIhPkudhcvXnzz5g3eWQDgfAwVDUuXLlVXVzc2Nt6yZUtVVVVxcfGOHTt0dHSKiopCQkKwjgjAAEehUKKjo02tTMSlxPHO0h+ZzZspJCIYGRmJdxAAOB9DW+Tx8vJeu3Zt/vz5wcHBCKFXr14hhPj4+CIiIuztYVgWANg6d+7chw8fwhK24B2kn+Ll47VaOOfw4cMhISFCQkJ4xwGAkzG6r66iomJWVtajR48ePnzY2NgoLy9vamoqKSmJaTgAAELowIEDI8YO1xqliXeQ/mues01K7ImjR4+uWrUK7ywAcDJGiwa6cePGjRs3DqMoAIDv5efn37lzJyw2GO8g/ZqsgoyhqX5UVNTKlSu7zQwHADAR7D0BQL8WFRUlLiVuMscI7yD93XwXuxcvXty4cQPvIABwsh9eaZg7d252djYjpzh79qyenh7zIgEA/lFdXZ2amrpk1QIyV98uCg5AY/V1hwxViYqKMjExwTsLABzrh+9E8vLyampqjJyCj4+PeXkAAP9KSkpqa2+zcYCZlj9HIBDmLbPZ5b+vpKREWVkZ7zgAcKYfFg0wfwkAfFGp1NjY2GlmUyWkYaYlQ8znzYraFhsbGxseHo53FgA4E4xpAKCfyszMfP36tf0yG7yDsA1+AT4zu5mJiYmw7yUAGOlb0dDe3l5cXJyXl1deXo5RIAAA3cGDB9W11EZPHIl3EHYyz2nut2/fTp8+jXcQADgTo0VDVVWVq6uriIiIlpbWmDFjZGVlR4wYkZGRgWk4AAasd+/eXb58eZ7TXLyDsBkVDeVx+mOio6PxDgIAZ2JoSHZDQ4OBgUFRUdHkyZN1dHR4eHjevn2bmZlpYWGRnJzs6OiIcUgABpy4uDh+Qf5ZtjPwDsJ+7Jzmblzmn5eXp6uri3cWADgNQ0VDZGRkSUnJrVu3DA0NOxtLS0stLCw8PT0XLFhA3yMbAMAUra2tSUlJZnYz+QVgalKfTZ1pICUrGR0dnZCQgHcWADgNQ7cn7t27t2rVqq4VA0JIQUFh//79tbW1BQUF2GQDYIBKS0urrKyEexO/hkQmWS+2OHHiRHV1Nd5ZAOA0DBUNRCKxx3nP9E2xyWRYdgYAZoqNjdWdNEpFQxnvIOzKerFFa1vr0aNH8Q4CAKdhqGiYMGHC9evXv2+/ceOGhISEtrY2s1MBMHDl5+dnZWXZLrXGOwgbk5KVNJxhEBcXR6PR8M4CAEdhqGjw8PAoLCz08PDonGnZ0tISExPj7e2dkJDAxcWFZUIABpbY2FhxSbFpZoY/PxT8mK2jVXFx8a1bt/AOAgBHITBSiTs4OFy/fv3z588IIUlJSR4ens+fP1MoFGFhYVlZ2a5HHj16dPz48fT/19bWNjExiYiIwCI3ABypvr5eQUHB1slqdcAKvLOwNxqNZj1p/sSxk06dOoV3FgA4B0PDEUgkkpiYmJiYWGeLiIhIj0fCprQA/I7jx483NDTMdbDEOwjbIxAINg5WB8PiKioqpKWl8Y4DAIdgqGhITk7GOgcAACEUGxurN22CnKLszw8FPzNn/qyD2+OSkpL8/PzwzgIAh4C9JwDoLx48ePD06VMYAsksg8QGmcwxio+Pp1KpeGcBgEP0oWjIz8/38vIyNjbW09OztbWNj4+HXWEAYKK4uDhpeWl9Ez28g3AO26VW7969u3r1Kt5BAOAQjC6xEBkZ6eXlRaFQEEIEAoFGo505cyYyMvL69etSUlJYJgRgQKipqTl16tSSVQuIJLj+xzSjJoxUHaoSFxc3c+ZMvLMAwAkYenvKzc1du3atpqZmenp6VVVVW1vbq1evNmzYUFhYuHz5cqwjAjAQpKSktLa1Wi+2wDsIp7FZanXhwoWysjK8gwDACRgqGg4fPiwmJnbjxo05c+aIioqSyWQ1NbVdu3b5+/tnZGRUVlZinRIAjhcfH29goiclK4l3EE5jZjeLzEVOTEzEOwgAnIChouHVq1cGBgbfT1uys7Oj0Whv3rzBIBgAA0h2dnZBQcFcByu8g3AgIRHB6RbTEhMT6XdXAQC/g6GigZubu66u7vv2mpoa+qNMDgXAABMXFyejIK1nNAHvIJzJZqnVhw8fMjMz8Q4CANtjqGgYN27c3bt3s7OzuzZSqdSdO3cKCAhoaWlhkw2AAaG6ujotLW3uYksYAomREWOHq2upxcXF4R0EALbH0JuUm5ubsLCwsbHxypUrjx07lp6eHhERMWrUqEuXLq1bt46HhwfrlABwsGPHjrW1t1kuNMc7CCebu8Ti0qVLMBwSgN/E0N4TCKHc3NwFCxa8evWqs4VMJnt4eOzevZtI7LnygL0nAGCEjo6OpKLYniPheAfhZPW1DTNGWPj7+QcGBuKdBQA2xug6DWPGjCkuLr5z505BQUFzc7OcnNy0adPk5eUxDQcAx8vOzi4sLIwM2IN3EA4nJCJoammcmJjo7+9PIpHwjgMAu2K0aEAIkUgkIyMjIyMj7NIAMNDEx8fLKEhPmgpDIDFnvcQi/eTFzMzM2bNn450FAHbF6MArKpWakJAwffp0DQ2NmJgYeuPu3bthQDIAv6y2tvb06dNWC+fAEEgWGDlOR01zSHx8PN5BAGBjDL1V0Wi0efPmLV++/NmzZ58+faqtraW35+bm+vv7YxkPAE527Nix1rZWGALJMtZLLC9cuPDp0ye8gwDArhgqGtLS0s6cObNjx46Kiorhw4d3ttvY2OTl5VVXV2MWDwBOFh8fP9l4krQc7N7CImZ2M0lkUnJyMt5BAGBXDBUN6enpo0eP9vb2JhAIXdtVVVURQqWlpZhEA4CjPXz48NmzZ3NhswkWEh4kZDLHKDExETbLBuDXMFQ0VFRUDBs27Pt2+goNDQ0NTA4FwAAQHx8vJSs52XgS3kEGFuvFFu/evbt+/TreQQBgSwwVDeLi4j1eTsjPz0cIycnJMTkUAJyuvr7+5MmTlgvNSWSY/sdSoyeOVFZXYs1wSBMTE0FBQRZ0BADLMFQ0GBkZ3bt37/Hjx10b6+rqQkJC1NXVlZSUsMkGAMc6ceJEU1OT1aI5eAcZcAgEwtzFFufPn//y5Utn4/z58wk9IZMZnZSur68/aNAgbCL3996/19jY6OPjo6yszMvLq6qqumXLlra2NrxDAeZg6J/E0qVL9+3bZ2xs7OXlVVVVVVxcvGPHjujo6A8fPpw8eRLriABwnvj4+AmG42QVZPAOMhCZzZsVuS32yJEjGzdu7No+Z84cMTGxri2/uQzU/v376+vrf+cM7Ki9vX3WrFl37941MDCwsrLKyckJDg7Ozc1NT0/vNioOsCOGigZeXt5r167Nnz8/ODgYIURfTJqPjy8iIsLe3h7bgABwnCdPnjx+/Hh3chjeQQYoUfFBRrMN4+PjN2zY0PVjbOvWraNGjWJiR13nmg0chw4dunv3rouLC/0eEI1Gs7e3T0tLS0tLmzdvHt7pwO9idEkZRUXFrKyshw8fRkVF7dix49ixY+/fv1+zZg2m4QDgSAkJCeJS4lNM9fEOMnDNXWLx6tWr27dvM/6UkpKSZcuWqaio8PLySktL6+npHThwgP4QgUDIysqqra3tvK8RGxuLvhvTMHbsWBkZmfr6+pUrV0pLSwsJCc2ZM+fDhw8IoYcPHxobGwsJCUlJSfn5+XWd3PHgwQNXV1dNTU1BQUEhISF9ff1z5851Dfaj3hFCnz59cnd3Hzx4MDc3t6ysrIODQ0lJyS/+yhiWmJhIIpFCQ0M744WFhdHbse4asEAflpFGCI0bN27cuHEYRQFgIGhqakpNTbV2mEPm6tu/PsBE4/THKCjLJyQkTJ06lZHja2trJ02aVFNTY21traqqWl1dXVhYeOTIEfoXp+Tk5LCwsNLS0ujoaPrxkyb1PCmGQqGYm5uXl5dbWFi8efPmwoULb9++TU5ONjIymjx58sKFC69fvx4eHi4pKblu3Tr6U2JiYu7cuTNp0iRLS8uampqMjAxra+vk5GRHR0f6AT/q/fXr1wYGBrW1tZaWloMHD37//v3JkycvX7788OFDFRWVX/7V9a6hoeHp06ejRo2SlpbubFRTU1NWVr537x6NRoM7FOyub29b7e3tr1+/pm9YJSMDt2MB6LNTp07V1dXBEEh8EQgEy4XmCXsO79+/X0JCgt4YFBTUbUzDqFGjPD09EUKZmZnl5eXx8fEuLi6dj9bU1ND/x9HRMSEh4cuXL50f5D9SWVkpIiJy7do1bm5uhJCDg0NKSoqpqWl8fPzChQsRQrW1tWpqanv37u0sGsLCwmRlZTs/a/fv36+vr+/v779kyRL6kIsf9e7k5EQgEIqKipSVlektDx48mDJlir+//4kTJ36U8Ny5cxcuXOj9Vfj6+qqpqfX40OvXr2k02vePqqmplZSUfP78GWbbsTtGi4aqqipfX99jx441NzfTW3R0dLZt2zZnDrz3AdAH8fHxY/V1Bw9RxDvIQGe10DxuV2JqauratWvpLRkZGd2OqayspBcNdFxcXF0f/bUJC7t27aJXDAihJUuWpKSkaGho0CsGhJCIiMjs2bOPHj1aXV0tKiqKusxpb2hoaGxspNFo5ubmW7duLS4u7mXMxPPnz+/du+fn5ycoKFhZWUlvVFVVnThx4uXLl3uJ9/jx45/eR3B0dPxR0VBXV4cQEhYW7tZOb6mtrYWigd0xVDQ0NDQYGBgUFRVNnjxZR0eHh4fn7du3mZmZFhYWXa+SAQB6V1RUlJOTExYbjHcQgMSlxA2mT46Pj+8sGp48efKjgZBGRkaioqLLly+/cuXKrFmzpk6dOnjw4F/olI+Pb+jQoZ0/ysrKIoS6dUpv/PTpE71oqK2tDQoKOn36dHl5edfDPn/+3EvR8ODBA4TQ9u3bt2/f/v2jzc3NfHx8PT4xNDS0czjCL6DRaAghuAfBwRgqGiIjI0tKSm7dumVoaNjZWFpaamFh4enpuWDBAvrSkACA3sXHx4uIikwzM/z5oQB71ost1ixcn5OT89MjJSUls7OzAwICzp8/T59nPnHixH379k2cOLFPPXb7Ck5fB6LHxvb2doQQjUabPXt2Tk6Oo6OjoaGhhIQEiUS6fPnygQMHWltbe+mIviWQr6+vsbHx9492XupgOhEREYRQ56aGnehXIOiPArbGUNFw7969VatWda0YEEIKCgr79+83NDQsKCgYO3YsNvEA4Bytra3Hjh0zt5/FzYPVWzboE71pE2QVZBhcHVJTU/PMmTOtra2PHj06d+7cwYMHzczM/v77b3FxcewS5uTkZGdnr127dv/+/V0bf/pEeiHCxcVlYmLSpx7Pnj2bnp7e+zEBAQHq6uo9PqSmpkYgEF6/ft2t/fXr1/z8/PSLKICtMVQ0EInEzqE0XdHXgmR80TQABrKzZ89WVlZawxDIfoNIJFosMDsWfXLGjBkMPoWHh0dfX19fX19ERCQoKCgnJ8fc3BwhRCKRKBQK0xPSJ2R2m7P2/UzR73unP+XPP//csmULkcjo1HqEUF5e3pEjR3o/xsXF5UdFg6Cg4KhRo/Lz8798+SIl9c/2rW/evCkpKTE1NYXbFhyAoT+mCRMm9Li/y40bNyQkJLS1tZmdCgAOFB8fP3KczpChWM12A7/AaqF5c0sz/bO5FwUFBV2XnUYIffv2DSHUOTJATEysoaGhcz4Fs9C/mN28ebOzJS0t7fui4fveR40apaenV1hYGB4e3vXIqqqqS5cu9dJjaGgo7Wf09XtbYsTZ2ZlCoQQFBdF/pNFomzZtorcz9JpB/8bQRQIPD49x48Z5eHgEBATQZ1q2tLQkJycHBgYmJiZ2G1EMAPjeq1evbt26tTnCH+8g4D+k5aX1jCY8z32BeppyiRDavn27rKzs+fPnt27damxsrKGhISQk9PTp00uXLo0ZM6bzpq2RkdG5c+csLCxMTEy4ublnzpzJlMUlx48fP2bMmMTExLKysrFjx758+fLPP/+0trb+888/ux7WY+8pKSmGhob0cRiGhoYEAuH58+c3btywtLScPXv272f7EVdX15MnT8bFxRUXF+vq6ubk5Dx48MDMzMzOzg67TgHLMFo0NDQ0REVFRUVFSUpK8vDwfP78mUKhCAsL+/j4+Pj4dB559OjR8ePHY5YWAHaVkJAgICRgatnDqDSAL+sllveu56CeplwihHx9fWVlZc3NzUtLS7OysnJycjo6OpSUlDZv3uzl5dV5c3bFihVv375NS0vLysqiUqmDBg1iStFAIpEuXLiwfv3669ev3717d+TIkRkZGaWlpd2Khh57HzJkSF5e3s6dO9PT0w8cOMDHx6egoODm5ubk5PT7wXrBxcV15cqV4ODgkydP3r9/X15ePigoyN/fH+5NcAYCfYZM75ycnB49esTI6ZKTkztvv2lra5uYmERERPxWQADYX3t7u6KiouHsyb47NuCdBXRH6aDMGm1lY2XbufoyAOBHGLrSkJycjHUOADhYenp6RUWF1WILvIOAHpDIJIv5ZieST+zZs0dAQADvOAD0a30YVQsA+DXx8fHao4dp6mjgHQT0zHqxRX19/alTp/AOAkB/B0UDANgqKSm5du2a9SK4zNB/ySvJjTcYy+CCDQAMZFA0AICtpKQkXj6eGXOn4x0E9GbuEov79+8XFBTgHQSAfg2KBgAw1NHRkZSUNMN6uoAgP95ZQG+mzpoiKj4ILjYA0DsoGgDA0MWLF8vKyuYuscQ7CPgJLm6uOfazU1JSmpqa8M4CQP8FRQMAGEpISBg6XF179DC8g4Cfs15iUVtb+8cff+AdBID+64dFw7Vr1xhcmwEA0KPS0tLLly9bw2UGNqGkOlh30qiEhAS8gwDQf/1wnYZt27YNHz6cvlLT3Llz9fT0NmyAdWkA6IPExERuHu7ZNqZ4BwEM6aAgPdslkeFJWblFk8dodXv0Q1Xb28ruu1EL8ZDGKP1ntEpzO/VFeYuMMJesSPf19Vs7aDlvG7Rk+aSE+rDJX3UT5f231uZ2mowwWUWCp+tDRZ9bvtS3j1USEOTB55oxhUor+tzyrbFDQpA8XI6PwWe1U2jFn1ua26lDJHgke/1VvPrS+q2hQ0qYrCLOw/T1JNk6PI5++JoFBASam5vp/19VVdXQ0MCqSABwAgqFkpiYON1ymqCwIN5ZwM+l3CMl3CbWN09BVlMMDjXN1X0bu2iwhOC/75DHH1b5/VnW7VljlPgf+/977+mPvOplR943tlKoNLR4gljSUmUu0r8fFzuulMfc/vpiK6M7/GU+rwu5+DnnbQP1/8v2yg3iWqYn4T1DWoiXhBDaeuHTqcfVTzYNG6XI6mG214rrtmR8fvqxqamNihCyHDno3EpVRp6451pF6KXPNU0UhBCRgKxHi3b7PdOl3P+26fynD1Vt9B+lhMjHnFWmDxOG8Lj7YdGgoaFx4sSJjIwMZWXlxsbGL1++FBYW9nikiooKLKMGQDeZmZkfP34MWRKIdxDwc4m3iAevk+RFaatMKPcuXHr0lusMmlla3ZblPZRE/M+XxE2zZVUl//263/UDo7yu3fFwyYJxYlELBt/+u37WgVdjlQTWGv+zPfTbytbtV8oTHZRE+EiMRNp64fPmjE88ZMKSieKThggI8ZLKatovF9aGXvpc20w5MF+RGa/71z3/1FJY1jxeWUBJnPtIzjcGn7Xt0udN5z8NkeAJtZSXFCRfLapLzKr8/vccdrk84FyZsjj3ptmyimLcX+vbH7xrrG5k2s7jbB0edz8sGjw9PY8fP25h8c+KNI8fP46JienxyJs3b06dOhWLcACwr0OHDqkNUx0xdjjeQcBPNLUREm+TBXnRkRUdYgK0caJDbfQXmoeMv/AOHXtQtXSSeNeDzXREJg7p+TvSzZf1ja3UIHNZHjLBVEt4mqZwRn5NZ9Gw+sRHPVWBheO776LZo7NPajZnfFIW577qqaEu9W+NstFU+t7rhpy3jb/6WpnG1UBi7TQpAgG9KG9h8HO3oZUadrlchI+U46tJv0Ezb6youCB5Z2Z519/z4/dNgefL9FQFr65VF8Dmtgtbh8fdD4sGJSWlv//++9KlSx8+fIiNjVVRUZk2bVqPR6qoqGAWDwC2VFZWdvHixfUha/AOAn6uuAy1tKMZw6hiAjSEkIqGsu6kUeW3D6EhvqnfFQ29+FrfgRCSEvpnKIO0MLmg7J87vGfyqm+8qHsW2H2cRI9oNBRwrgwhlLJMpWvFQKevJqivhv8NL37uPn8i5r5vbGqjzh8n1nVIh5Oe+M7M8q6/5z3XKqg0FL1wMHYfumwdHne9jeMQERFZsGABQujy5ctTpkzZtGkTq1IBwN6SkpLIXOTZtjPxDgJ+rrmdgBAS6vLpPHeJZeDGg2iI76P33b/Te58t/VrfwUUijFDgczWQnKL+7+c3fZRi0efm0Yr8CKHnn1pUxHkQQg2tVM/TpRumS2vK8DKSp+hz84vylpEKfP2hOGCixjYqQmjQf+/ODOInIYQ6f880Gsp8XjtEgkdRlCvgXNn9d43cJIK+muDKqVKi/Azd1sEIW4dnLoYG8Z4/f56Lq/tIYABAjygUSkJCgqmlsZAIR73pcyq5QTSE0IvP/96WNpljtD0yqxGhmiZKbTOlcxQCgYBKq9ulhMgfqtpSH1SlPqjaZiXvP0uG/ugMLWEVCZ7lKe/9Zsrcfd3w9GNTuLU8Qmhz+icyEW0yk0UIFZQ1N7RSdQfz85B/OJ7+ycdmhNAEFeYMFNt3veLgra+9H3Nq+ZBuc0CwoCzOgxB68vE/a2c9+dCEuvyeP9W2VzdRhkjy6G4rLq9t15LlK6tpu/K8Lv5e5d2NQxVFubEO+SNsHZ65GCoaREREEEL5+fnJycn5+fnNzc1ycnIzZsxYsmQJLy9DtTMAA8eVK1c+fPiwNRauzLGHIVI0NWlaYSnheDZpoR4FIfStmYds8M8M84ZWKr1oMB8hsmiCWOdbf/qzGofkkoBzZVM1BPVUBRFC3GTCDS91z9OlHic/yghzpTqrzNAWLihrPvDXl7Puqu0U2oyIl3dfNRAJSEaE67KH+giFnqf5VTV2oP8OsfwdwnwkhZ99XHH/uIJhIi1ZXh15vgfvGiNufKEP9Xj/rW3DH6X0R+m/55qmDoRQ7vum4XJ890KHKohyU2lo4x+le69XuKd+uLBajQU5OS88czH6dxkZGenl5UWhUBBCBAKBRqOdOXMmMjLy+vXrUlJSWCYEgM3ExcWpa6nBEEg2stW2wz2Ja/cl0uG7xEH86P03goyIcG3JWyQ6hJfrnw/UblP5LUYO2mmj4HbsfXL2N3rRgBBSkeA532XyHo2G3FM/mOmIzBkhEnCu7NnH5rxNw5TEuE0jXq1IfZ/to9ljGPpFiNYOWo+P9pXzZAnnyRK//PTwK+UnH1V1/hhmLT97uMgvn+2Ik/L0fa88T3/ckVkuIUh+WdGiJsmjLcf3/FMz/fdM/v8M1b3zFOi1DpGAdtjIn3lSfamwtqqxQ0ygh8+svA9Nf1e0dGskEQl2Y0R/OSrLwrMdhl5Dbm7u2rVrtbS0tm/frq+vLyQkVFJSEhcXt2fPnuXLl58/fx7rlACwi9LS0kuXLm3c5ol3ENAHmrK0P9a2nXlIev6JgGho5gjq/EkEoyBxCrVdlP+Hb5KmWsIIoZfffVx1Ss6ufPKxqWiLNkLoxKPqeWNF6cMdNprKzI9/+66ytdtiTXRK4jwIoddfui8khQs+LuKgLr+BrstO/ILRivyFW7QO3al89L6RRkMLxol5TJPSCCzk4yLSf8/i//9Yndjl7gyZSBgzmP/9t7bXX1vH9/S5m5RV+f0tGB4yk4sGjMKzHYZew+HDh8XExG7cuCEtLU1vUVNT27VrFw8PT1hYWGVlpYTEr1eyAHCShIQEbh7u2bYz8A4C+kZcELlO+3cyfUkloZ0sgj7nFRcJaWv3vBxTWwcVIUT8wWp/VY0dPmfLAs1klcS5aTT0sapN7f9TIegrPZR8a+uxaNBTFeAmE26+rG9opf7+Uo97rlVE3vzS+zF/uKmO/cGYhrXGUp2zRplCRpgryFy288eXFS2fa9sNNYToKx1ICJKlhMhf6ju6PYt+1eVHBct+e8XdtgrdGgkYrMKIRXi2w9Bf5KtXrwwMDDorhk52dnY0Gu3NmzcYBAOA/XR0dCQkJMywNoFVINldyj0SQoi/7K+4uLgfHXP2SQ1CaLhcz+O6fM6WSQmR10+XRggRCEiQl9jQQqU/1NhKQQj9aJUnYV7SkgnidS0U/+8WoEQI0WiocyYnIwbxk5TFeXr/r5dRmVjbfbUCIdR1XusMbRGEUPabf+ettFNoj0uaSESChnTPv2oykcDLRez2HwteFFPCsx2GrjRwc3PX1dV9315TU0N/lMmhAGBP9I2wwx224h0E9M3zUgINIW15GoGAGlrQ4bukPx8TteSpY8iklJSU8PBwAhevz5kyF30JLTleMpHQ0k6Nv1e5JeMTiUhwNZD8/oQ5bxuTsipvrNPovJ6vO5g/s6huq4UcgYAuF9YJ8hB7+RTZYSN/rbgu8uaXuhZKoNk/a1BSqLQ7rxpCLn7WkuWNWjCYwZf2m2MafsfJR1UnH1U760vMGfHPMIhHJY1UGhqvLEAgoNpmyo7M8oR7lWOV+B0m/rvmlZeJ1LEH39alfbwko64kzk2h0jaeKf1Y3TZ/nBiDi2lCeEwxVDSMGzcuJCQkOztbT0+vs5FKpe7cuVNAQEBLi6EVSwDgeHFxcZojhsJG2Gzn2Qfi7kskLjIS4aNVNxIoVDRUlhaxpKPxi8WxmOOnTp2yW7g08uaXyJtfSESChCD5a307lYZ4yIREB6XvJ0FQqDT31PcLx4tN1RDqbNw0W9Zk399zDr5WFueOvVMZaCbby60HcQHyPe+h9ofeHsn5diTnm5QQWZCHVF7X3tRGHcRP8jDvF0NLAAAgAElEQVTCf+z53xUtphGvEELtFBpC6GpRnbJ/AULIWFM40UGJfsyL8pbzz2qmDv33l5D1ptHr9EduMkFcgPy1vqODShulyJ+xWq3rMsyjFfn32imuS/uotqlQXZrnc217TRNluBxfJPNWzmbr8LhjqGhwc3OLiIgwNjZ2cnLS09MTFhZ+9+5dYmJiQUFBYGAgD08Pt+UAGGjevXuXmZnpv3Mj3kGYr62t/e3Ldx/ffiwv+1L1taq+vuHcsQwCgWDjYCk0SFhCSkxBWV5ZTUlusCwWN5JZYPpwKoWKij4R6pqQqABVTwPN0KGQiEhcUHG8wdjY2FhHR6fMtep3XjW8/tLyrZEixCswWpHfYaK4kngP11lvvKiXECR3u8tuNFToylr1+LuV7yrbIucrrpjSw/WJrhRFubN9NK8V110urHvztbW5jaqvJjhFQ9BujKgw7z/fWbVk+Qw1OgR5cPgKy0Ui0JcuQAipS/17yaTrgonK4jyGGkIKov+u8TNvjCiFSnv8vqmqsUNKiDxDW2T+OFEysfvfjKex1KQhAoezv72tbNWS5Zs2VMhpsjgfF9PWWGTr8Lgj0GgMTezJzc1dsGDBq1evOlvIZLKHh8fu3buJxJ5/Hdra2iYmJhEREcxJCkD/5u/vfyDqQGZ+Or8Ao9vs9mctzS2P7uU9uP0w7/6z18VvOto7EEJcPLzCopICwqIf/s5HCMmpaDbV19RVV1IpHQghQWFBHV2tMZN1J00drzliKJsWEN3cuHBr4zL/3NxcXV1dvLMAgD9GiwaEEIVCuXPnTkFBAX1xp2nTpsnLy/dyPBQNYOBoa2sbPHiw4ezJvjs24J3lt3S0d2TdyLn0R+bda9ktzS2iknIao/VUNHUV1IfLDFYXGvTPmC83QymEUNztLwghKqWjqqLsU8nLD6/y3xY+ep3/oLWlSVpe2tRymvm8Wepa7L2mTUd7x2xdaxsr29jYWLyzAIC/PkwbJZFIRkZGRkZG2KUBgE2dPXu2oqLC1tEa7yC/7tvXqrTks2dTzldWfJNT0ZyxyGuU/iw5lZ4XIOqKSCJLyClJyCmN0DNFCHW0t716lpN3+8LZY+kp0SeG62rPd7E1tTQmc7HlJHUyF9lq0ZzUQ6k7d+4UFhbGOw4AOOvDlYa+gisNYOCYOnVqbUtNUkbP28f3cxVlFckHUs4dv4AIpAnT7aZYOAzWGNH7U7peafiRjva2/KzM2+cPv8i7Ky0v7bh6kfUSS25u9tvFpqKswmyszYGIA6tWrcI7CwA445zRGQDgpaio6M6dO7ZLrfAO0md1NfV7N0daTph38czNGYs8w9OeLt6w+6cVA4PIXNy6U+d47TsTmHhzsKbezoD9VhPnXTh9mUqlMuX8LCMtL20wfTLcngAAQdEAwO+LiYkZJCZiYjEN7yB9QKVS0w6ftZwwL+1wuumCtWEnH5sv3SAgzMxldzspqGm7BMUFJd2WUdENWh3iMNOlMO85Fh1hx87RurCw8O7du3gHAQBnUDQA8FsaGhqOHj1qscCcjS68vyp67TjbNdxnz7DxM7Yey5mzzJtXQOjnT/s9cipD3UOPrI84V9dAcpztFu6zu7G+8edP6x8mTh2voCwfHR2NdxAAcAZFAwC/5fjx4w0NDexyb4LSQYnblbho+rJv3zrWHzjv5B81SEKGlQE0RukFHLpm477l/IkrtlMW37/9kJW9/zIikWiz1Io+3BXvLADgiaGioaqqqrq6GusoALCjmJgYvWkT5JXk8A7ycx/flTqZu8XvOWwyb+WmxL/UR0zEJQaRRDaZtyLo8B0RSbVV87x2Bexra23DJUmfWC00RwSUmJiIdxAA8MRQ0TB79uytW2E5fYA/stszolsu3in+lZ2d/fTpUzsnG7yD/NyVs9cWGDuWlzduiEy3dt1E5sJ5yxgJ2cHr9p2xcd+cdvj80lnL37/5gG+enxIRFZlhZRIXF0ehUH5+NEtweTwnrsgb5PkU7yBgAGGoaJCVlYUJyqA/oBI7sJoi/EsOHjworyQ32Rifr+wMam9rD/fZ7b9is9a46YEJf6kOH4d3on8QiMTp9it9oi9VV3csNnW+ceEW3ol+ws5p7ocPHzIyMvAO8g9KWxuNRmtqY7PZKICtMVQ06Onp3bp1C+MkALCZioqKM2fO2C61+tFK6v3Bty/f3OZ6nD12Yf7a7cu3xLNgwGNfDdYYERB/XWOUobdzQNS22P48IXO4rpbWKE0YDgkGMobe7Nzd3SsrK9esWVNVVYV1IADYRUJCAg3RrBbNwTvID70o+HvxDJe3r8vX7TtrNNcZ7zg/xCsg5BaSbOnilxx5bL2jX1NjM96Jfmiek83169dfvnyJdxAA8MFQ0bBy5cra2trIyEgJCQk5OTnN/3r4kD3GPwPARB0dHbGxsTOtp4uIiuCdpWd3r2a5WLhz80v5x2Wq6ozHO85PEAiEWYs93UMP37+d5zxnxZfPX/FO1LMZ1ibCg4ThYgMYsBgqGkgk0qBBg7S1tbW0tMTExMj/xRl72QHQJ+np6aWlpfOW9dMhkGeOnPNa6qM2csrGyHRRqd42lutXRk6euTEq40tF49LZrm9evsM7Tg94eHmsFs05cuRIQ0MD3lkAwAFDW8gkJydjnQMARhCpZCrqwDsFQghFRkYO19XWGvXz/ZxYL3ZnwqHdSYaWjvM9txOJJLzj9I2i2nCfmEuR3guc56zYn7Jz1ISReCfqztbRKiXmeEpKiru7O75JSNzclPZWfu7+O6QGcB74awPspCNuJDVuDN4pUEFBwa1bt+a72OIdpDsqlRrus/vQ7iRLZ9+F63ayXcVAJyoptyEyXVppuLud573rOXjH6U5+sJzB9MlRUVHY7fbHoPZIbWqsbs3+UfjGAAMKo0UDlUpNSEiYPn26hoZGTMw/W/nt3r07MzMTs2wA9FNRUVHikmLT+9lmE1QKdbNHaNqRcwvX7ZztsA7vOL+FX1Bk7a5TGqOnrFvqcy39L7zjdGfvbFNUVPTXX/0uGABYY6hooNFo8+bNW758+bNnzz59+lRbW0tvz83N9ff3xzIeAP1OdXV1amrqXAdLrv602URHe4ffis2Xz1538osytHTEOw4TcPHwuoceHmVg7ucWdOmP/vXlZMKUcSoaypGRkXgHAYDVGCoa0tLSzpw5s2PHjoqKiuHDh3e229jY5OXlwQrTYEBJSkpqbWu1XWqNd5B/dbR3+LoG/XXxzvKguAmm/e6myS8jkbmcA2PGG9sEeYRcOH0Z7zj/IhAI9s62Fy5cKCkpwTsLACzFUNGQnp4+evRob2/vbhMlVFVVEUKlpaWYRAPgO+JbvvF6/Y1jAAqFcvDgQZM5RpIyEjjG6IrSQfFzC7pzNXv5lnjdqf130YhfQySSHP0iJ5rab1mz7WLaFbzj/Mt83iw+Ab6DBw/imEFuyyder7+n3sQxAhhwGCoaKioqhg0b9n07Dw8PQgimHgGWqa4oaW2qxzHAhQsX3r17t2D5PBwzdEWlUANWBt+6kuWy+dBog9l4x8EEgUh08N43cca8zWtCr5y9hnecf/AL8FkuNE9MTGxsxG2D7/LPFa1N9dlpeXgFAAMQQ0WDuLh4j5cT8vPzEUJycmywvx8ATBERETFcV0tnjDbeQRBCiEqlblm77Xr6TefAGE6tGOgIROIS731jjawDV2+9eek23nH+Md/ZtrauNiUlBe8gALAOQ0WDkZHRvXv3Hj9+3LWxrq4uJCREXV1dSUkJm2wA9C/5+fk3b97sP5cZdvrvu/hH5lK/A2OmWuCdBXNEIsnJP3KE3kw/16CcW/1iFVp5Jbkp0ycfOHAA97mXALAMQ0XD0qVL1dXVjY2Nt2zZUlVVVVxcvGPHDh0dnaKiopCQEKwjAtBPHDhwQEJa3GSOEd5BEELoYFjc6aQzCzzDJ5ra4Z2FRYgksktQnPoo/Q2Ofs8eFeAdByGEFrjaFxcXX716Fe8gALAIQ0UDLy/vtWvXhg8fHhwc/OrVq6NHj/r6+n79+jUiIsLe3h7riAD0B1++fElNTbVfZtMfZlqmxp5M3H/EankAZ8yuZByZi3tFyGE5VZ21iza8fvEW7zhonL6uupba/v378Q4CAIswtIw0QkhRUTErK+vRo0cPHz5sbGyUl5c3NTWVlJTENBwA3dEICOFzKTg2NpaGaHMdrHDpvatLf2Tu3RxpMs991uK1eGfBATcv3+rtx3avsVxt75V8MU5WQQbfPIvc7IM9w4qLi3scLY4pAoFKoyGyEKNv4wD8PgJ2d+O0tbVNTEwiIiIwOj8ALNPa2qqsrDzJZHzgXl98k+Tcerh20YYxRlZO/gdx3CvOzVAKIRR3+wteAWoqy3euMhMSIiZfiMV3o9G2tnaz0da2c+1iY2NxjAEAa/Rt74n29vbi4uK8vLzy8nKMAgHQD504caKiomKhG843414U/L1xmf/Q0QZLfSIG+O6ygyRk1uw6+bWiznOxd2tLK45JuLm5bB2tjx49WllZiWMMAFiD0aKhqqrK1dVVRERES0trzJgxsrKyI0aMyMjIwDQcAP0BjUbbt2/fxKnjVYeq4Bjjc2n5moXrJeTUXIMTSWT8x1XgTmaw+urw1KL8VwHuwVQqFcckdk5zKVQKXGkAAwFDRUNDQ4OBgUF8fLyampqzs7OXl5e1tfWrV68sLCwOHz6McUIAcHbjxo38/PzF7gtwzFBf27BmwXoagd9jx3FefkEck/QrQ7THOgfG3rp8d+9mPLeBEJMQNbObefDgwdZWPK95AMACDBUNkZGRRUVF0dHR+fn5CQkJe/fuPXv27Lt377S0tDw9PeHfCeBse/fuVRumOtFwHF4BOto7Nizz+/yp2mPHcWExKbxi9E+jDWbbrgo+HnfqZEIajjEWutlXVFQcP34cxwwAsABDRcO9e/f09PTc3d27NsrIyOzbt6+2tragoF9MmAYDAdH9CcEtl5U9FhYWXrlyZcnKBTiOIdi2ceeT+wUrQpJklYfilaE/M7Z1nWazfHdgxN1r2XhlUB2qMtl44t69e1m50BNxRR5hRS7vKlhGGrAOQ0UDFxdXj8s+0hvJZJjwA1iG1beu9+7dKy4lNtN6Oov77XQ48tj54xcWrd81dLQ+Xhn6P7vVW4dPMPFzC3pV9BqvDEvcFxYWFmZmsnAXbxoB0RAVlqMELMRQ0WBoaJiTk9PS0tKt/caNGxISEtra/WIdfgCY7tOnT8ePH5/vYofXgk5/XbwVtS125qI1erPwHFHR/xGJJJegODEZlbWLN3778g2XDOMMxmjqaOzevRuX3gFgDYaKhpUrVyoqKtrY2Lx8+ZLe0tbWlpiYGBAQEB8fz8UFA7kBZzpw4ACJTLRdao1L7y/yXwauChmpP8vKxR+XAOyFh09g9fZjTU00LwffttY2XDIsWbnwxo0beXlwvwBwrB8WDQ4ODpr/N3LkyLKyskuXLmlqaoqKiiopKQkICLi4uFCpVF9f34cP+8XmMQAwV319fVxcnNViC+FBQqzv/duXb14OPhLyak4BBwnEvq2nMmCJSsmv3Hb0ZeHrYM8wXDaRMrU0llWQ2bVrF+u7BoA1fvhmRCKRyF3w8fFpa2tra2vLy8sLCQkNHTpUW1tbUVGRTCYP8EVmAGux7uMzPj6+obFhsdt8lvXYqa21bd1S3+YWtGp7Cg8vP+sDsC8VLV0Hn/1Xzl5LijjK+t5JZNKiFfP/+OOPd+/esaI/Ag0REBHegAEL/XAMY3JyMitzAMAIasxo1nTU1ta2b9++GVYmMgrSrOmxq5B14S8KXq+LOCcqKcf63tndeBObT+9exIRHqmoOmTrTgMW9Wy+eE78nae/evZGRmC8dQY3VxboLALqBy54A9CA1NbWsrGzp6kWs7/po9PGLaVcWb9gzRGsM63vnDJbOfjqTTDetDGb9Tph8/Hz2zrZJSUlfvuC2MQcA2IGiAYDuqFTqrl279E0mqQ1TZXHX2X/dPxASPd1+5cQZ81jcNSchEInLNkUPklRc5+BTW13H4t7nu9hSadSoqCgW9wsACzBaNBQXFzs5OY0aNUpaWlriv7KysjCNCACLnTt3rri42NFjCYv7/fD2o59b0LAxhnNXBLK4a87Dyy/ovu1odVWT7/JASgeFlV0PEhtktWhOVFRUfX09K/sFgAUYKhpyc3N1dXUPHz7c3Nw8dOjQ4f8lICCAdUoAWCk8PHzUhJGjJ45kZaeNDU3rlvryCUm5BMURiSRWds2ppORVlm8+9OheXkRINIu7dli5sL6hHrawApyHocUcDxw4QCQSs7OzJ02ahHUgAHpBWpFLpSFaHIY3+69du/bo0aOIVJYu0UOj0YJWbf308atP9GV+oUGs7JqzDRtrOHdF4LHoLZo6GrNtZ7CsXxkF6VlzTfft2+fh4cHLy4tRL6QVuVQagV9YrHGXMkZdANANQ1caKioqjIyMoGIAuKNhP7ssLCxs6HB1fROW/rUf2p1068pdR/8oORXYXYLJptuvHG9iE7IuvPjZC1b26+ixuKKiAtNpaDQaESFae2MVdl0A0A1DRYOamlpdHasHEwHAetnZ2bdu3VrmuZSVq4/cybwXvyd5tsO60QazWdbpgOLgvU9KUWODk3/1txqWdaqioWxsPnXnzp3t7e0s6xQArDFUNLi7uz958iQ7G7cd5ABgjdDQUGV1JWPzqSzr8f2bD5tWbdWeYDzHcSPLOh1ouHh43UMP19e3+bqydFCk01qH9+/fp6amsqxHALDG0JgGbW3tP//809bW1szMbMSIEXx8fF0fNTMzk5WVxSYeAKyTm5t7+fLlrVGBRFYt20wf/CggIu0cGANrRWNKXEZx+eb4iI32ESHR64I9WNOppo6G/nS97du3L1myhESCwa2AEzBUNFAolFOnTpWXlyckJHz/6M2bN6FoABwgNDRUQVl+1lxT1nRHo9E2e4R+Lq30jbnMJyDMmk4HMs0xBnPdNh2L3qI1UnPmXBbtdb58naPDzOWnTp1auHAha3oEAFMMFQ3R0dEJCQnTpk1bvHixtLR0t+9hI0aMwCYbAN2JSis31mKy8fGzZ8/Onz8fuNeXRGbRN8LkAyk3L912DU6UVYbBjywy3X7l+5fPQtaFq2qqqGupsaDH4brak4wmbNu2bf78+Uy/giUjK11V2zDRQoO5pwWgFwRG9oKzsLD4+++/CwsLyWSGigw6bW1tExOTiIiI34gHAIvY2Njcf5Rz7v4pMlcf/sh/Wc6thx4L1pnOX23tuokF3TGdm6EUQijuNvutlNza0rTDfRai1KZeS2bN/qXPHhU4mbmdOHFi/nwcNj8DgLkYqnyJROKwYcP6VDEAwEaePXv2559/LvNcypqKoezDJ3+3IE3dKZYufizoDnTFw8vvvu1IdVVTgPsWKpXKgh5HjtOZaDg+JCSENd0BgCmGioZp06Y9efIEJg4BThUcHCyrIDPHfhYL+mptad3o5E/mEYGVH/EiKafsvCk6++aDuF2JrOnRdeOyoqKi06dPs6Y7ALDD6JRLDQ0NR0fHb98wuZ0MAI6ePHly7tw5Z6+lXNxcLOgudP2ON39/cA89LCAsyoLuQI+GTzQxd9yQsPfw7St3WdDdqPEjJhqODw4OplBYugsGAEzHUNHg7Oz89u3b48ePS0lJKSkpaf7Xw4cPsU4JAB3XmidE96fMPeeWLVvkBsvOsWfFwkqnEv+4mHZl8frdiuo6LOgO9MJsyTqdSaaBq0Pev/nAgu5W+Li8ePHi5MmTTDwn99pi4opcqVXsN7IEsC+GigYSicTLy6utrT1s2DAhISHyf7Fy7TwwwFHaqTQqM7+rPXz4MCMjw3XDMhaMZnj64NmeoANTrZfBttf9AYFIXLbpIL+w1AZHv6bGZqy7GzF2uL7JpODg4I6ODmads6OlhUZDNbRSZp0QgJ9i6I0S0+XTAcBRYGCgkqqime1MrDv6Wl7p7bJJSVN33uoQrPsCDOITEHYPPRLuPjN47bbw+BCsv/+4+yxfbOp85MgRZ2dnTDsCADuwCB0YuG7fvn316lW3jS5EErb/ENrb2r2dA9o7yG7BiSQyK0ZOAAbJqQx18Nl/PePm0YOYL/Y8bKSm0WzDrVu3tra2Yt0XABiBogEMXAEBARraatMtp2Hd0Z7AiOdPX7oFJ4qIS2PdF+irsUaW0+evjNwW+/DuY6z7cvddXlpWGhsbi3VHAGCEodsThw4devv27Y8edXV1HTJkCPMiAcAKFy5cyMrKikjdjfVOE+knL55OPrvAa4eqznhMOwK/zHp5wIeX+b7Lg1KvJ8kqyGDXkepQldk2M8LCwpydnQUFBbHrCACMMFQ0HD9+/Pbt2z96dObMmVA0ANYgUslUxIRxZFQqNSAgYNT4EQbT9X7/bL0oevoibOOuSTPtp1o5YdoR+B1EEnn5lvhty03WO/olX4jl4eXBri83b+fMc9f37t0bFBT0m6cicXNT2lv5ueGCMWAdhoqGkydPtrS0dP5Io9FKS0uPHz9+4cKFkydPjhkzBrN4APxHR9xIppwnNTU1Pz8/KSOGKWf7kepvNRuW+ckqD1u0fjemHYHfJygitiIkeddq820bdm6NCsSuI/nBcrZLrfbs2ePu7i4pKfk7p2qP1GZWKgAYxFCJKiMjo9yFioqKgYFBTEyMlZVVQEAALy8v1ikBYKLW1tagoKApM/RHTWBOCdIjSgfFd/mmxoYOt5BkLm4Mv7kCZlEaOnLhul0XTl8+mZCGaUcu65w6qB2hoaGY9gIAFn7rupa9vf3t27ffvXvHrDQAsEBUVNSHjx88Nrlj2su+4KjcnHyXzYfEpRUw7Qgwkd6s+UZznfdujszLYfIaYl2Jig9aumpRbGzsmzdvsOsFACz8VtFAIpEQQuXl5UwKAwDmqqurw8LCLBeYqw5Vwa6XS39kHo87ZbMiUFPXALteABbsVm1VGTbW2zmg4hOGKy0udp8vLCrk7++PXRcAYOHXi4bGxsYdO3YghJSVlZkWBwCMhYaGNrc0r/B2wa6L4mcvQtaFjzexMZmH7cUMgAUSmct1ayKNwLfBya+ttQ2jXvj4+dx9lqelpd2/fx+jLgDAAkMDIdevX//s2bOuLY2NjcXFxbW1tQ4ODrKysthkA6A7onsujYpocb849vbNmzdRUVFOa5dIykgwN1in6m816538pBQ1lmzci1EXAGvCopIrQpJ2r7EMXb8Du0GRlgvMT8SnrVu3Lisr69cWoyS6PaEhKheJ0Baty/R4APSIoaLh5cuXjx//Z9kTISEhHR2dxYsXw3qogI34+PiIiAk7rFqI0fk72ju8nQMaGzr89h7h5uXDqBfAAsrDdBeu23UkfI2mjsZCN3ssuiCSiF5bVq+y9zp9+rS9PSZdAMB0DBUNFy5cwDoHAFi7ffv2mTNntkQE8PFj9XG+OzDi6cNCzz2nYfAjB9CbNf/jq4J9wVFqWqrjDcZi0cUkowmTjSf5+vpaWlrCNDTAFmBVEDAgUKnUdevWDRupaW4/C6Muzqakn046Y7dqq8aoyRh1AVjMblWw+gg9H5fAsvefMOpiXbBHaVnpnj17MDo/AMwFRQMYEBITE588ebIxdC1Gi0Y/ffBsh9+eyWaLjObCDTvOQSSRXYMTuHhFvBx8GhuasOhCRUPZztE6PDy8rKwMi/MDwFy93Z44fPhwSUnJT0/h6OgIEygAi9AICNH6+qSampqAgIAZ1iYYreZUXlqxcVnA4KGjF3rtwOL8AEcCwqIrw1J2rJwdtGrrruQwLIpOt40ul89c8/HxOXbsWJ+eSCBQaTREFmLoLjMATPGToqGXLSc6TZ06FYoGwBrU2F8ZJb558+aGxoa1QauYngch1NzU7OXgTSPyrwhJJnNxY9EFwJf8kGHLAqJjg5xidiSs8nNl+vmFBwmt9nfbtnHnihUr9PX1GX8iJRaW8Aes1lvRsGfPnurq6h4folAohw8fPnXqFI1G+7XJQgCwRn5+fnR09AofF2k5KaafnEajBa0OKXldtjEqQ1j0t/YRAP3ZKINZFst8kvaHqw5VmTl3OtPPb7V4zpmU86tXr378+DGZDFcOQP/V21/nj3aiunTpkre39/PnzwcPHhwSEjJlyhRssgHwu2g02qpVq+SV5Ba7L8Di/DE74v+6eNs1OFFRXQeL84P+Y9Ziz0/vXgR7hikoyw/X1WLuyYlEom/4eiczt+jo6DVr1jD35AAwUd/uz+Xm5k6bNs3MzKysrCw8PPzly5cODg5wpQH0W0eOHLl375739nXc3FxMP/nlM1cT9x2xWOaja2jO9JOD/oZAICz1iZBV0V631AeLFaZ1xmhbLjQPCgr6/Pkz008OALMwWjSUlJQsWrRo3LhxWVlZa9euff36tY+PD0wsBv1ZVVWVt7f3dEvjSVPHM/3kBbnPgz3DxhnPnbXEi+knB/0TFw/vym1HKFQeryXezU3NTD//mkB3Aomwbt06pp8ZAGb5edFQXV29YcMGTU3NEydO2NnZFRcX79+/X1xcnAXhAOiGuCKP4JbL4MEbN25samnaELKW6TE+ffy8zsFHQW2Eg89+uNI2oIiIS68KP/budVnAii1UKpXJJxcVWRu08uTJk5mZmYwcT1qZR3DL4/X6m7kxAOhFb0VDa2vrnj17VFVV9+zZM2HChPv37586dWrIkCEsCwdAdwRG51veuXMnOTl5tb8b07eZaKhr8Fy0EZEEVm47ysXNw9yTg/5PUW24c2DMnavZ+4MPMv3kFgvMxuiNXrlyZVPTz5eFoFEICNGorQ1MjwHAj/RWNPyvvTuPi2n//wB+ZppmaY92Ie2JaFdSUiLKLkplC9FFQtYkS7Kma9+vLVxZ77UvKaFrX6INlRRtatprmpnfH/P99vVzydScltHr+YfHzJlz3r3nYaZec+Z8Pp8xY8YsWLBASkrqwIEDZ86c0dbWLvweDofTYu0CCKOmpigsqvEAACAASURBVGb69OnGpt3HTh5FbmVuHXeR3/Kc7MLfIqJlFZtr1Sto43r1HTx6ZuixXSdiDp8jtzKFQlm2Mfjjx+ywsDByKwOQoqHRE2VlZQRB5OTkNLwqVWxsbP/+/cltC0AUq1evfvf+XfTNQ6RPxRMevPFhwrPZ66M1uhmQWxnEi7OHf/7H9+uXbFHXVOvrZENiZS29rlPnTdqyeYuHh8ePhrABtJaGQoOdnZ2CgsJPSygp4fMWtCHPnz/fsGHDpNneukY65FY+sPXwuWMXfYMjjSwcyK0M4mj83PAv+TmLpoXsv7DTsKc+iZUnzfa+ceGWn5/fw4cPJSXJH/gD0GQNhYY1a9a0WB8AQmvowkMOhzNlypTO2pp+QZPJ/amXY67tXLd3iM+8vkMnkFsZxBRVgjYtdO+mOcPneM0/fGWfuqYaWZUl6ZIrti6dNHR6RERESEjID/ej8Ak+QZFAqoCWgwWrQJzwdpnz9zQ0k3RERMSLly9WRi0ld2KGh3cfhwWGWw0cPWzqYhLLgrhjsKR/izjOJ1izPeeXlpSRWLmHWXffWV5r1qx59erVj/bh7Tbj7zGv2YaJxaDlIDTAr+P58+dr1qzxneXVw8yYxLKpSenzJy3R7WnjG4wBlvAt+Y6qszeezPtUEugTXFtTS2Jl/2C/TloaEydOrK0lsyyAKBAa4BdRU1Pj6+vbRVvTf9E0EsvmfMid7RnUQbUb1qOCH1Hvqj8r/MjrZylLZoTyuKRN3kBn0FdtC3n56uXq1avJqgkgIoQG+EWEhISkpKas2h5C4hcTXwqLAzzmEVTp2RtOMKVlySoLvx7dntZ+K/bGXU0IX7SRxLLGpkZT5vpGREQkJiaSWBagyRAa4FcQFxe3efPm6QumGJqQNhKyoqxituf84uKquZv+lO+oSlZZ+FX17ufqNX/DuaMXd6zbS2LZaUGTDXrq+fr6lpdjEidofQgNIE4kZjyn+j/9ZmNxcbGPj4+JZc/Js33I+kG1NbVBExdlvM2Zs+GkiiZmQQWh9HPzGe635EDkH8d3nySrJk2StnpH6Mecj/9e/ZLm/4Tq/0Rm5juyfhbATyE0gDjhU7l8/rczSU+fPr2ktHjtrlCqBDmv5zpO3aJpIc8fvg4IP9JF34SUmtBOuHoHOnvM3BK67eKJS2TV1NLtMn/13EOHDv35559fb+fxqXw+UUthk/WDAH6qoXkaANq+3bt3x8TErN+3mqxR8jweL3TOmoSbif6rD+r37ktKTWhXxsxaWVXOXhW0jiXNGjhsACk1R/kMexCbOH36dAsLCywABK0IZxpAjL18+TIoKGiUz7CBw51IKcjn88MXbrh27tbkpdtMbAeRUhPaGwqF4r1ws5m9+/JZYXev3yOr7IrIpdJyUp6enhiBCa0IoQHEVVlZ2dixYztpaSxcO4+Ugnw+f+OyreeO/eW9YJOlE8krXUG7QqVKTFm+08hiwMKpyxLjHpJSU1ZeJmLfqqfPngYHB5NSEKAJEBpALPH5/KlTp37M/bjhwFoGk5z1qbeGbT91IGb83HWYKBpEJ0GTnB62X9fENsh38aOEb6/ebZoeZsaBKwKioqK+ubgBoMUgNIA4YcpJCi52jIyMPH36dGjkEi3dLqRUjgrbcXTniTGzwvqPnEJKQQBJOmPW2iNaRpaB3guf3H9GSk3P6R7O7o5+fn7JyclSVDkJOlVPhZzQDCAMhAYQJ5XrTep2mcfGxi5atGiC/3iyLmWICttxeMfxsQFhzh7+pBQEEJBkMAPWHetqaDHHa8HjeyScb6BQKKFRyzqqdRg5cmROhFLdNtPXK8mcNB2gYQgNIGYyMzM9PDx6W5sErggQvRqfz98Suu2/iWGm6AUBvkFnsgLWHetiYD7Ha8HDu49FLygtI7Xlj4iPuR+9vb15PNJmrQYQBkIDiJPy8vLhw4dLMmnr96+RoEmIWI3P569fsuX47pMev61GYoDmQ2eyZq+P7tbdau6EhfduPRC9oJZe17U7Qy9fvrxs2TLRqwEID6EBxAaPx/P29n77Lj3y6AbFjgqiVuPywgLDTx866zlvvdPYGaR0CPAjkgxmQMRxvd79giYuvn3pjugF7QfZBSydsX79+qNHj4peDUBICA0gNhYtWvSX0vJqnzh9Y10RS3FqOUtmrPj71FXfRVEOwyeR0R3AT0jSGTPX/NHTZtCiaSF//3lF9IJ7CyZSJj+cdlrx7t27olcDEAZCA4iHnTt3btq0iS9J8HiivmirKqsCfYJjryRMC91r6zqelPYAhEGTpE9buc/KeUzo7DXRe0UdNlnLp/FoFF4H+ZEjR6amppLSIUDDEBpADFy4cGHOnDkek0mYcIldzJ4xas7TxKTfIo6b9XcXvSBAo1CpEhMX/+40dsam5Vt3hO/591oqjSZFyHaQcXV1/fz5MxkNAjQEoQHauoSEBE9Pz34DbYPDg0QslZv9abKbf+a7T0GRZ4wsHEhpD6CxKBTK2IBVo2aEHIw6EhYYzq3jilaPtu3E5tKK0iFDhpSWlpLTIsAPIDRAm/bixQt3d3fDXvrr9q4ScRHL5BcpE12nl5fzg3dc0jIyI6tDgKYZ5DV74uLfL52+Ptd7YUV5pSilOnXR2H5yS/q79OHDh1dVVZHVIcC/ITRA25WWljZo0CBVTeWtRzeKOFd0/LWEaSMCZBQ7L9p1RbWzDlkdAojCZvC43yKOP01M8hs2My83X5RSBj30Io+sf5D4YOzYsRwOh6wOAb6B0ABt1Pv3752cnFiyjB1/bpWVlxFspPDrKJRGfwd8fPfJoEmL9Xo7zP/9vJyiMtmdAjRdd8v+C7f9lZ9X4TvYL/lFSqOOpUoSFArBUvnPXXNb040Hw6/fuO7l5VVXV0d+rwAIDdA2ZWRkDBgwgKDxd5/Z1kFJsX7749X8J6sb8SmKU8tZHRSxecXvA0ZP919ziMGUaoZmAUSiqWu8ePdVKflOU4fNunHxtvAHPgqtfbK69s5XM6PaOdus2xN27vw5Hx8f5AZoDggN0Oa8f//e0dGxjuDsO7ddRb3pJwaKCr7MGD3nr1NXfRZuGRuwikoVdQZJgGaioKS24PeLxtYui6eF7IzYK8rk0AOG9g/fHXY65vSECRPwPQWQDqEB2paUlBR7e3selbv//A7VTqpNrpP09I33wCnv03LnRZ6xc/MmsUOA5kBnsqat3DdsyqIDW4/M8wkuY5c3udTAYQPCd4edPXfWw8OjpqaGxCYBEBqgDXn27JmDgwNdWnL/hZ2iJIaYw+f8hs1kyWsu3XdDt6c1iR0CNB8KhTLEN2jW2iNPHryeMHBy2uu3TS41cNiAjQfWXr58yd3dvaKigsQmoZ1DaIC2IjY2tn///h3UFPdf2KmsptS0IpUVVctnhYUv3Gg9yHPhtouKyhrkNgnQ3ExsXZbsuUZIyE90nXbu2MUm13EY3C8qetO9+wlOTk6FhYUkdgjtGUIDtAknT550dXU17KW/7/yOBhajMl9ON1tO/9Gjaa/feg+cfOvvu5OX7fBesIkm+cM9AdoyFU3tRTuvmDuOWh0UsXxW2I9mcTAPkTRbTu8T8sOLdaztLfec3Z72NtXOzu79+/fN1i+0IwgN0PrCw8O9vLwch9pvO7FZWqbBAQ7U74+35PP5J/ad9h3sx+FJL9l7vY/L2GZpFKCl0JmsiYujJi/dfutSgpfTpKSnb76zE59CEASf2tCEksamRocu7amoKbexsXnwgIRVuaGdQ2iA1lRdXe3r67ts2bIpc33X7lopSZdsQpGCz4W/jQ/atHyr7RDvJbuvqXfVJ71PgFbRZ5DHsn03qfSOU9z992462LQJp7todz58ZZ9aF5UBAwYcO3aM9CahXUFogFaTk5PTv3//U6dOrt6xImDpDAqF0oQiV8/e8HDwfv38/azwo56BEZIMJul9ArQi1c46wTsuOY2duXfToclu/pnpWU0oothRYe+57QPcHHx8fIKDg7lcEVe7gPYLoQFax507d8zNzTM+vN9/cefQsYObUKEov2j+pCVL/UN1TOxX/BFvYutCepMAbQFNkj5qRsj838/n51WOHzDx8I7jPG6jJ3KgM+hrdobODQ3YvGWzi4tLfr5Is1ZDu4XQAC2Nx+OtXbvW2dm5k7b68RsHe5gZN+ZoCkEh+Hz+hei/R9t5Pbr3ym/FnhmrDsoqdGyudgHaBt2e1ssPxtq5Tfx99S5fV7/UpHQKjUsQhERjvtObGDBhx6nIZy+empqaxsfHN1ev8OtCaIAWlZubO2jQoJCQEN8Arz1ntnVUadwf+yeramO8U6eNCAgLDDe0cFl55J6l08hmahWgrWEwpcbNWbtw21/FJXxvlyle/K0JS9j3lzeuiLW9ZfStP1Q6Kw8YMCAsLAyzTUOjIDRAy4mJiTExMXn28tn2U5Gzl8+UoDVuXueK8sqtK7ePHzAxO6tkzsZTU0N24QQDtEM6PSyX77/lNnHhqYPnRtmOv3buJp/fuFXcVDVU9p3bPnmuz6rVq+zt7d++bfosUtDeIDRASygsLPTy8ho7dmwPy+6n7hyx6W/VqMN5PN7FE5dG2ow7ceDs4AnzQg/fNbZybKZWAdo+miR9iG/Qyj/uqnUzWzJjxbQRASkvUxtVQYImMWvx9L1nt2d9zOzdu/e2bdtEWfAC2g+EBmh20dHRxsbGf1/+K2zb8sgj679etVIY/8Q/8h44ZeXctV2MbMOO3HOfvFCSzmimVgHEiJJG14B1R2dvOJGbU+HtMnXFb6s/f8xrVAUzm96n4o4OHjNw7ty59vb2b958bzYIgK8gNEAzSktLc3FxmTBhgrGF0ZmEE+7jhjTq8KSnb2aNDZw5Zm4NV2bBtoszwg50VOvcTK0CiKke1k4rDt3xmL027vrDETbjtoRuKy4qEf5waRmpZRuDd5/Z9iE3y9TUdOnSpVirAhpAaeyXYcIzNjZ2dnaOiopqpvrQlpWWlq5du3br1q0dVTosDJ/Xf3C/Rh2e/CJlz6aDd6/fU+2sO3zqYlMHN8EsDv4ncvh83h4vRIdWNsNBhSCIPXEYtteaZp7K5tXxmUxm1GgVgiCqK8punNp1489dElTeuKljfGZ5KnT44Yzs/1ZTXXNg6+Ej24+rqqpt2LBh3LhxTZs6BX5tONMAJONwODt37tTT04v6PWrSHO8z96IblRieP3w5d8ICb5epya8++i6KCj0cb9bf/atfXlyi2WIugHjh11EIguBy/rP4NVNa1n1K8NqTj/u6TT6+N8bNfHTkym0Fn4VdqorBZMxaPP3P+GNaRl08PT1tbW0TEhKaq3UQWwgNQBoul3v06FEjI6PZs2db2Juef3DSP9iPyRJqikYejxd7JX6Km/8UN//01IKJi39fdey+ret4KrVxIywA2jlZhY5jZq0MP/mk33C/03/85W4xetW8de9SM4Q8vIt256hjG3ee3lpcXtSvXz83N7enT582a8MgXmit3QD8CjgcTnR09Lp161JTU/sNtF2zb4VBDz0hjy1jl1888ffJAzE5Wbna3c39Vx/qbedKoSLOAjSdrKLSqBkhg71mx104fPvMvgvRf1vbW473G2M30JYqxJurj4OV1U2Lq2dv7N6w38LCwt3dfdmyZVZWjRv0BL8khAYQSVlZ2cGDByMjIz98+NDXqc/Srft6mgs7w+OrJ6/PHr1w7dxNDodraj/Ue9F0bWOLZu0WoF2RklVw9Z47cNzMx7fP34rZG+gTrNFZfaS3+zBPN2U1pYaPpVKpQ8YMchnudOn01YNRR6ytrQcMGLBgwYLBgwfjWof2DKEBmigtLW3nzp1//PFHeUW5s7tjxKFVQp5dKMwrunzm2l8nLr1LzVBU1hjoOcduqLeCkppQP5VHIQhc0wBAEARBUPgEn6DwfjICmSZJ7zPIo88gj/evH8edP7R38+FdG/b3dbJxHzfEfpAdvcGlZWmStOFebu7jhty4ePvw9mNDhgwxNDQMCAjw9fWVk5Mj9cmAeMDoCWicqqqqc+fO7d+//86dO3IKsiO83MdNHaOmqfrTA9nFpXeuxF89e+PRvSdUKs3E1qXvEK/uVo64akEcYfSE+KosK3l48+z9KyeyUl/IyssMGNp/0Ehny77mwszQ+vje0xP7TsdduyvFkho3btyUKVNsbW1boGdoOxAaQChcLjcuLi46OjomJobNZve2MhnpM8xluBOD+ZNPOYV5RfHXEm5duvMo4QmXy9PtYWXlPNrccZi0XOOmeII2BaHhF5CbkfrwZszDm2eLPmcrdFDo79rP0dXeyt7ip2/qvJy8c8f/unDiUl5Onr6+/oQJEzw9PfX0hL2MCcQaQgM0hMPh3Llz59y5c2fPns3Ly1PXVBsyZtBQD1ct3S4NHMXj8t68SLl360HCzftvnqdQKFSdHpamDm5mDm6Kyhot1jw0H4SGXwafz89MfvY07uLT+EuFuVlMFtPawdLOycbWqY+6ZkNfGvJ4vH/iHl06fTX2cnxVZZWpqemYMWOGDx9ubNyodWtBzCA0wHfk5uZeu3btypUr169fZ7PZqp1UnYY6OA8b0Muy54+ugeLz+RlpmY/vP3t09/Hje0/ZxaVMadnuFg49bQb2tHHBylK/GISGX9LHd29ePbj+8v71zORnPB63q04Xa3sLCztzM5veDcz+XlVZFX/t3s2/bt+7lVhdVa2jozN06FBXV1d7e3spKamW7B9aAEID/Mfnz58TEhLi4uJu37795s0bKpVq0FPfztnGYVA/o14G380KNdU1yS9SXj55/TzxxYtHr4qLSqgSNC2DXobm9t0t+2sbW0jQGrrGCsQXQsOvraK0OPlJfMrj+OSn8YW5WQRBdNPX6mXZs7eVSQ+z7lp6Xb87brO6qjox7lHCjXsJNx/kfypgMBg2NjaOjo4ODg5WVlYsFqvFnweQD6Gh/aqqqnr58uWjR48ePnz44MEDwfK4Gp3VLezMrO0trR0s//3ZoqKsIj35XVpSevLL1OQXKe9SM7h1XEkGU8ugt66Jta5JH92e1kwpmebreebxHD6FtxvTSLc2hIa2YFb0Bx5BSFEUtng240CGoryP6c/vp79MfPfq4efst3weT1pWunsvA0MTA8OeBvo99LR0uvz7Isq3ye/+iXv08O7jp4kvKsoq6HS6qalpnz59rKysLCws9PT0MG5TTCE0tBc8Hi8zMzM5OTkpKenVq1cvXrxISUmpq6ujSdL0uuv2NOtuYtnTrE/vr8dBlHwpyXqXnZmelZme9T49831KRm72Jz6fT5WgaWjpd9Hv1dWwdzcjU00d4xY7o+B/4gOfR+yZ0NAVFdACEBraAv/jH/kET1KCsn18C8XoynJ2xpunWSnPMlOff0h7VZyfQxAEnS7ZTV+rm76Wtn43Lb2uXXU6d9XpQmfQBYfwuLzUpLRn/7x89STp1ePXudmfCIKQlZXt1auXiYlJz549u3fv3r17dyWln8wbAW0E5mn4BVVXV2dlZWVlZWVkZLx///7t27dv375NS0urrq4mCEJKmqVt0E3fVNfNZ7CRiYG+sW51VU3B54JP2Z/jb9z7lP0590Pux6zcj5kfy9jlgoIdVDXVuuh2txnh7GXQSbu7RjdDLE4N0A5JycgbWzkaWzkK7laUFmenJ+W8f5ObmZqWkhx//WFlOZsgCAqFoqKu3KmrhmbXTuqd1TS6qOt117VztlHVUKmsqHrzPDnlVVpaUvrlG5d279nN4/IIgujYsaO+vr6enp6urq6Wlpa2tnbXrl3V1dUlJDAku21BaBA/XC63qKiosLCwqKgoLy8vLy8vPz//06dPnz59+vjxY25ubn7+fz7/UalUZXUldU011W7KhuZ6copyDCadx+UWF7GL8ouunr1xfPfJ/E8FNdU1/91fQkFZXUm9i5KGqb7lSJVO3VQ0tVU76zBY0q33dAGgjZKWUzQ072do/r8V6UqLCz5npRfkZOTnZBTmZr14lnXr8v2K0uL6HeQV5ZVVOyqrKXVQ7mDnbNtBSYFTW1dZUcUuZn8pLH70/J8Lf51nF5cKdqbRaBoaGpqamurq6hoaGqqqqurq6ioqKkpKSsrKysrKyphgquUhNLQCLpdbWlpKEERpaangNpfLLS4urqurKysrKy8vr6qqKisrY7PZxcXFpaWlbDb7y5cvpaWlxcXFZWVlZWVlX1ejUClMFpPJZDBYDAkJCYY0vYu2Zl0dt6a6trK8Ii8nPy/n/51DlpZTlOugIiPfQUFJx6CrTR9ldfmOqooqnTqodFJQUqNK4CUBAE0kp6gsp6is3/v/zfhUW11V9PlDccGnksLPxfk5pcUFxQW5eW8K2UWvy0uKaqorvykiKy/DkmLRGXQqlcrn87I+Zqa/T6utqa2qrK6tqf16TxqNJicnJysrq6ioKCcnp6ioqPBf0tLS8vLy0tLSTCZTXl5eUlJSRkaGxWIxmUwmk8lisSQkJJA5mkBc/0I4OztXVFSQUorH49XW1ja8T11dXXV1NY/H+/exHA6n/i6Xy62pqam/W1+Ww+EIrh2pq6sj/SISJkuWzmRJMqUY0nIMlgxTSoYlLcuSlmXJyEvJKkjLykvJKcrIKUrLKUrLKcoqdEQsAICWRGey1LUM1LUMvvtobXVVObuonP2lnP2lorS4spxdWVZSWc6uKi+rLCupriyrrqqgVFXwqeV13FKCkKitqao/tq6u7suXL1++fMnKympyexISEoLBIDQaTXCDSqXSaP/5PUmlUhkMxteXbTIY3/lylkajMZnMhhcDo1Ao3z22aRwdHcPDw8mqJjxx/fuRmJj407/0jfLTld8oFAqdTv/ugV+/nr5+3cjKyta/FgXDjSQkJARf0SkqKgq2C9IunU5nMBg0Gk1ZWZlGo9HpdAUFBYIgGAyGlJQUhUIR3FVQUBDclpCQkJeXF+RlUp6+uPjtTCG3tnq6vXJrN9LezaRSqVQq/iNa15zoIg6/WklFRfz/Ixp3aTObzeZwOKWlpTU1NZWVlYJ/ORxOeXk5QRAlJSV8Pl9wt6ampqampqioqK6uTnAqt6amhsPh8Hg8wVHEVx/q6k/icrnc+o+ItbW1VVX/iyk8Hu+bc70EQfD5/J/+PeLz+eR+YiQxfzSKuIYGwYsD2pvaKKPWbgEIgiC4XG5rtwBE9W7D1m6hdcjLyxMEgQEXreLnC6sDAAAAEAgNAAAAICSEBgAAABAKQgMAAAAIBaEBAAAAhILQAAAAAEJBaAAAAAChIDQAAACAUBAaAAAAQCgIDQAAACAUhAYAAAAQCoX0RRfrqaioqKqq2tra/nxXAAAAaBvc3Nzc3d2/+1AzLljFYDBKSkqePHnSfD8C2oIvX77k5ub26NGjtRuBlpOamiovL6+mptbajUALYbPZ2dnZRkZGgnV64ddmbm7+o4ea8UwDtBN79+6dMWMGl8v96fLi8MvQ1tb28PCIiIho7UaghZw8edLT07O4uFhBQaG1e4HWhN/yAAAAIBSEBgAAABAKQgOIqlOnTs7OzhQKpbUbgZbTt29fXV3d1u4CWo6ampqzszON1oyXwYFYwDUNAAAAIBScaQAAAAChIDQAAACAUPAFFTQOh8PJyMgoLS3V0dFRVFRsYM93795lZ2d/vUVDQ0NfX7+ZGwQypaenf/nyxcDAQJiBdo3aGdogvLvh5/gAwuHxeN7e3vLy8vUvnrFjx+bl5f1o//nz53/zYpsxY0ZLNgyiyM7Otra2FvzHMRiMdevWkbUztEF4d4OQcKYBhMXlchMTE0NCQpydnWVkZK5cuRIUFJSfn3/nzp0fHaKurv7y5cv6uywWqyUaBTJ4eHjk5OT8888/hoaGkZGRS5Ys0dPTGz16tOg7QxuEdzcIq7VTC4gTDofz9d25c+cSBJGbm/vdnefPn9+pU6cW6QtIFh8fTxDE8ePH67dYWFhYWlqKvjO0WXh3gzBwISQ0wjejtLW0tAiCqK6u/tH+PB7vn3/+uXLlSkpKSnP3BiS6ffs2QRBDhw6t3+Lm5vbo0SM2my3iztBm4d0NwkBogKY7ffq0lpaW4JfLd3369KlPnz5DhgwxMjKytbXNzMxsueZABG/fvlVWVv76G27BVE7v3r0TcWcQF3h3w3chNEATbdy48f79+5GRkT+aC9LFxSU+Pr6kpCQ/P//AgQNJSUlDhw6tq6tr4T6hCcrKymRkZL7eIrhbVlYm4s4gFvDuhh/BhZDwfW/fvq0/66impmZhYfH1o9HR0YsXLw4NDR0xYsSPKri4uNTfnjJlSkVFxZw5c27fvv31dmibaDTaN38ABHclJSVF3BnaPry7oQEIDfB9f/7554oVKwS3hw8ffubMmfqHzp8/P3HixMDAwJUrVwpfsH///gROWYsJNTW1goICPp9f/0EzLy+PIAhVVVURd4Y2Du9uaBi+noDvW7p0ad1/fZ0Yrl69Om7cuEmTJm3evLlRBT9//kwQhJycHMmNQjMwNTWtrq5OSkqq3/L48WNFRcVu3bqJuDO0ZXh3w8+19vANECexsbEsFsvT05PL5f770fT09NjY2NraWj6fz+Vyk5OT6x9is9m2trZ0Oj0nJ6fl2oWmys/PZ7FYU6dOFdzNycmRk5Orn72Hw+HExsampaUJszOIC7y7QRhY5RKExWazNTU1a2trJ0+e/PXorKCgIG1tbYIgAgMDo6KiCgoKlJSUqqurWSyWpaWlrq4uh8OJi4srKiqKior67bffWu8ZQCNs3bp13rx5Q4YMMTAwOH36NEEQjx49UlNTIwiipKREUVExICBg+/btP90ZxALe3SAkXNMAwuJyuebm5gRBfDMsu6KiQnBDV1fXwcFBcPkbnU4/ePDggwcPcnJyuFzu+PHjfX19v7maEtqywMBAAwODI0eOvHnzxtPTc/78+fXXKNBoNAcHBz09PWF2BrGAdzcICWcaAAAAQCi4EBIAAACEgtAAAAAAQkFoAAAAAKEgNAAAvWVWTAAAA5ZJREFUAIBQEBoAAABAKAgNAAAAIBTM0wDQThUVFb169arhffr27duEdaeWL1++du3a5ORkQ0PDpnYHAG0RQgNAO/XgwQN3d/eG9xHMANjYyp07d7a2tmaxWIK7e/fujY6OPnnyJOaIBBB3mNwJoJ0qLi5+/fp1/d3du3cfP348PDy8X79+9Rv79Onz9aTCTbN48eL169dnZGRoaWmJWAoAWhfONAC0U4qKinZ2dvV3//77b4IgjIyM6jemp6cnJCQI1iJKS0vLzc3V0dHp3Lmz4NHCwsLs7Oza2lodHZ1vzkZkZGRkZWVZWVlJSUk9f/78w4cPBEEkJiZmZmYSBNG5c2cdHZ0WeYoAQDJcCAkA3xcVFeXo6Hj58mV9fX1DQ0MnJ6fExESCIG7fvm1sbKysrGxmZtanTx8VFZVhw4YVFBTUH3jgwAFHR0dBVggMDDxx4gRBEJ6eno6Ojo6Ojrt27WqtZwQAIkJoAICGTJ06NTg4mM1mV1VVOTs7EwTx+fPnfv36Xbp0KTk5+cmTJytWrLhy5YqHh8d3D79z586iRYsIgsjIyBAsrbtp06YWfQIAQB58PQEADZk5c6afn5/gNp1OJwjCy8vLy8urfgczM7OqqqoNGza8fv3a2Ni4dboEgBaB0AAADRk2bNh3txcUFKSlpVVUVPB4PCkpKYIgkpKSEBoAfm0IDQDQkE6dOn2zJSMjw8/PLzY2ls/nS0hI0Gg0Ho9HEER5eXlrNAgALQfXNABAQyQkJL7ZMmLEiGfPnsXExBQXF9fV1VVXV8fExBAEgfHbAL88hAYAaITc3NyXL196enqOGjVKQUFBsPHx48cNHEKlUgmCEJyNAACxhtAAAI3QoUMHGo324sULLpcr2PL48ePIyMgGDhHM4iCYpAEAxBpCAwA0ApPJDAgIuHfvnrGx8cSJEwcOHGhnZ/ej8ZYCrq6uNBrNx8dn0qRJ/v7+Z86cabFuAYBcuBASAAiCILS1tR0cHL6e21FPT8/BwUEwzPJrkZGRlpaWly9fzsvL09XVDQ8Pp1Kp7969U1dXF+zQrVs3BwcHwZAKgiCMjIxu3rx5+PDh7OxsDofTq1evlnlGAEA6rD0BAAAAQsHXEwAAACAUhAYAAAAQCkIDAAAACAWhAQAAAISC0AAAAABCQWgAAAAAoSA0AAAAgFAQGgAAAEAoCA0AAAAgFIQGAAAAEApCAwAAAAgFoQEAAACE8n+fq7EbkxXfigAAAABJRU5ErkJggg==" width="600" /></p>
 </center>
 <ul>
 <li><p>Your PGS Z-score for Body Mass IndexBody Mass Index is 1.27 which
@@ -4281,7 +4281,7 @@ <h4 class="tabset tabset-fade">GWAS: Body Mass Index</h4>
 <h2 class="unnumbered"></h2>
 <hr />
 <hr />
-<p>This report was created using GenoPred (v2.2.2-258-gd2f2a91).</p>
+<p>This report was created using GenoPred (v2.2.2-312-g61d3a33).</p>
 </div>
 </div>
 
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/ancestry_inference_i-example_plink2.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/ancestry_inference_i-example_plink2.txt
index 08162dd6..8e0a8ff3 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/ancestry_inference_i-example_plink2.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/ancestry_inference_i-example_plink2.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-25.8500	0:00:25	468.83	4636.66	466.46	468.56	0.00	1.09	54.48	14.68
+20.0213	0:00:20	452.29	4623.88	452.71	453.79	0.00	0.02	57.99	12.12
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/ancestry_reporter-example_plink2.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/ancestry_reporter-example_plink2.txt
index 9f00461d..55c62da0 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/ancestry_reporter-example_plink2.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/ancestry_reporter-example_plink2.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-0.3930	0:00:00	2.00	4.36	0.14	1.12	0.00	0.00	0.00	0.00
+0.3199	0:00:00	1.00	9.20	0.25	1.08	0.00	0.00	0.00	0.00
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/format_target_i-example_plink2-22.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/format_target_i-example_plink2-22.txt
index f976dfb4..9310055b 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/format_target_i-example_plink2-22.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/format_target_i-example_plink2-22.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-1.5335	0:00:01	73.84	163.89	70.66	72.61	0.00	0.00	31.70	0.78
+1.3910	0:00:01	66.53	164.31	66.44	67.44	0.00	0.00	21.31	0.42
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/indiv_report_i-example_plink2-4_EAS.4_EAS.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/indiv_report_i-example_plink2-4_EAS.4_EAS.txt
index 0be46676..6050e964 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/indiv_report_i-example_plink2-4_EAS.4_EAS.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/indiv_report_i-example_plink2-4_EAS.4_EAS.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-8.3089	0:00:08	374.77	823.55	371.79	373.84	0.00	0.22	80.65	7.04
+7.0224	0:00:07	361.86	752.85	361.11	362.18	0.00	1.54	59.82	4.51
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/pc_projection_i-example_plink2-TRANS.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/pc_projection_i-example_plink2-TRANS.txt
index bb3a0a52..64425c48 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/pc_projection_i-example_plink2-TRANS.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/pc_projection_i-example_plink2-TRANS.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-0.9522	0:00:00	68.84	213.21	66.34	68.22	0.00	0.01	0.00	0.34
+1.1533	0:00:01	62.41	219.22	61.96	63.06	0.00	0.00	0.00	0.19
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_external_i-PGS002804.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_external_i-PGS002804.txt
index 2661c22a..61d80325 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_external_i-PGS002804.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_external_i-PGS002804.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-1.4603	0:00:01	84.83	356.72	82.44	84.34	0.00	0.29	32.67	0.82
+1.3153	0:00:01	64.03	213.97	63.14	64.16	0.00	0.00	6.80	0.31
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_lassosum_i-BODY04.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_lassosum_i-BODY04.txt
index 5178b8fe..d686fbcd 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_lassosum_i-BODY04.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_lassosum_i-BODY04.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-2.8474	0:00:02	237.92	390.75	224.36	231.55	0.00	0.27	44.52	1.58
+2.9343	0:00:02	261.37	549.38	253.84	258.29	0.00	0.01	35.49	1.34
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_ptclump_i-BODY04.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_ptclump_i-BODY04.txt
index 6dfa7797..4c447be4 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_ptclump_i-BODY04.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/prep_pgs_ptclump_i-BODY04.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-0.8680	0:00:00	68.92	213.68	66.74	68.64	0.00	0.01	0.00	0.33
+1.0007	0:00:01	64.00	213.90	63.14	64.16	0.00	0.01	0.00	0.32
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/ref_pca_i-TRANS.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/ref_pca_i-TRANS.txt
index 702224c8..b54ffc30 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/ref_pca_i-TRANS.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/ref_pca_i-TRANS.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-11.3433	0:00:11	193.84	4344.80	190.40	192.54	0.00	0.51	81.34	9.56
+7.3584	0:00:07	179.77	4333.22	180.12	181.19	0.00	0.03	66.49	5.63
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/ref_pgs.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/ref_pgs.txt
index 164705ac..4dad6fee 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/ref_pgs.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/ref_pgs.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-3.5964	0:00:03	155.64	433.56	151.59	153.52	0.00	10.65	62.67	2.62
+4.9390	0:00:04	145.12	428.66	143.29	144.30	0.00	7.74	30.78	1.72
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/sample_report_i-example_plink2.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/sample_report_i-example_plink2.txt
index eaa2f520..fa2e9a83 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/sample_report_i-example_plink2.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/sample_report_i-example_plink2.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-6.9834	0:00:06	285.29	1049441.62	277.92	280.47	0.00	3.36	53.56	4.10
+7.4875	0:00:07	271.64	1049449.28	270.93	272.15	0.00	3.06	34.70	2.93
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/score_reporter.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/score_reporter.txt
index 12f4fa98..c56713f0 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/score_reporter.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/score_reporter.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-0.6003	0:00:00	2.00	4.36	0.16	1.16	0.00	0.00	0.00	0.00
+0.8459	0:00:00	62.17	212.02	60.91	61.91	0.00	0.00	0.00	0.21
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/sumstat_prep_i-BODY04.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/sumstat_prep_i-BODY04.txt
index 8f5117b0..ef54af40 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/sumstat_prep_i-BODY04.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/sumstat_prep_i-BODY04.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-0.8624	0:00:00	56.83	136.68	52.32	54.13	0.00	0.01	0.00	0.18
+1.1460	0:00:01	59.82	146.25	58.96	59.95	0.00	0.00	0.00	0.17
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-AFR.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-AFR.txt
index b38f992e..d2dfbbc9 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-AFR.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-AFR.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-1.0597	0:00:01	68.36	213.05	66.17	68.05	0.00	0.00	0.00	0.34
+3.2104	0:00:03	116.82	277.66	115.54	116.50	0.00	0.01	26.54	0.95
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-CSA.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-CSA.txt
index 55b34e73..59aa883c 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-CSA.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-CSA.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-1.0467	0:00:01	69.59	213.21	66.30	67.88	0.00	0.00	0.00	0.34
+2.2004	0:00:02	116.13	277.27	115.54	116.55	0.00	0.01	39.89	0.88
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-EAS.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-EAS.txt
index 1d025f1d..0c2cd328 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-EAS.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-EAS.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-1.0513	0:00:01	68.59	213.21	66.23	68.08	0.00	0.00	0.00	0.35
+2.0581	0:00:02	116.44	280.83	116.23	117.25	0.00	0.01	27.19	0.96
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-EUR.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-EUR.txt
index 21be74ff..03c46169 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-EUR.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-EUR.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-1.0549	0:00:01	69.27	213.21	66.21	67.80	0.00	0.00	0.00	0.34
+2.0004	0:00:02	116.82	280.83	116.18	117.20	0.00	0.01	27.87	0.97
diff --git a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-TRANS.txt b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-TRANS.txt
index 8f2eb89b..8ce4658a 100644
--- a/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-TRANS.txt
+++ b/pipeline/misc/dev/test_data/output/reference/benchmarks/target_pgs_i-example_plink2-TRANS.txt
@@ -1,2 +1,2 @@
 s	h:m:s	max_rss	max_vms	max_uss	max_pss	io_in	io_out	mean_load	cpu_time
-1.8437	0:00:01	100.91	244.70	98.12	99.99	0.00	0.75	53.60	1.34
+2.9150	0:00:02	132.82	292.92	131.50	132.52	0.00	0.01	60.51	1.77
diff --git a/pipeline/misc/dev/test_data/output/reference/gwas_sumstat/BODY04/BODY04-cleaned.log b/pipeline/misc/dev/test_data/output/reference/gwas_sumstat/BODY04/BODY04-cleaned.log
index c623a3e6..6b588c76 100644
--- a/pipeline/misc/dev/test_data/output/reference/gwas_sumstat/BODY04/BODY04-cleaned.log
+++ b/pipeline/misc/dev/test_data/output/reference/gwas_sumstat/BODY04/BODY04-cleaned.log
@@ -3,20 +3,20 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 ---------------
- Parameter  Value                                                                                        
- sumstats   misc/dev/test_data/gwas/BODY04.gz                                                            
- ref_chr    misc/dev/test_data/ref/ref.chr                                                               
- population EUR                                                                                          
- sampling   <NA>                                                                                         
- n          NaN                                                                                          
- info       0.9                                                                                          
- maf        0.01                                                                                         
- maf_diff   0.2                                                                                          
- output     /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/gwas_sumstat/BODY04/BODY04-cleaned
- test       chr22                                                                                        
- help       FALSE                                                                                        
+ Parameter  Value                                                                                    
+ sumstats   misc/dev/test_data/gwas/BODY04.gz                                                        
+ ref_chr    misc/dev/test_data/ref/ref.chr                                                           
+ population EUR                                                                                      
+ sampling   <NA>                                                                                     
+ n          NaN                                                                                      
+ info       0.9                                                                                      
+ maf        0.01                                                                                     
+ maf_diff   0.2                                                                                      
+ output     /scratch/prj/oliverpainfel/tmp/genopred_test/reference/gwas_sumstat/BODY04/BODY04-cleaned
+ test       chr22                                                                                    
+ help       FALSE                                                                                    
 ---------------
-Analysis started at 2025-04-06 17:28:42
+Analysis started at 2025-07-16 12:46:53
 Reading in sumstats.
 GWAS contains 885 variants.
 ---------------
@@ -42,5 +42,5 @@ After removal of SNPs with duplicate IDs, 871 variants remain.
 After removal of SNPs with N > 334358.59618899 or < 126741.40381101, 841 variants remain.
 Genomic control was not detected.
 After removal of SNPs with SE == 0, 841 variants remain.
-Analysis finished at 2025-04-06 17:28:43
-Analysis duration was 0.29secs
+Analysis finished at 2025-07-16 12:46:54
+Analysis duration was 0.72secs
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/ancestry_inference_i-example_plink2.log b/pipeline/misc/dev/test_data/output/reference/logs/ancestry_inference_i-example_plink2.log
index 42998869..5258392f 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/ancestry_inference_i-example_plink2.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/ancestry_inference_i-example_plink2.log
@@ -1,10 +1,3 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 Loading required package: ggplot2
 Loading required package: lattice
 Type 'citation("pROC")' for a citation.
@@ -73,45 +66,45 @@ The following object is masked from ‘package:pROC’:
 
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd40b2c7ed.log.
+Logging to /tmp/Rtmp1JCqYe/file83036d4065c0.log.
 Options in effect:
   --geno 0.02
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd40b2c7ed
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --out /tmp/Rtmp1JCqYe/file83036d4065c0
+  --pfile /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
   --threads 1
   --write-snplist
 
-Start time: Sun Apr  6 17:33:47 2025
-1031753 MiB RAM detected, ~923883 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:36:36 2025
+1031700 MiB RAM detected, ~1016987 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
 1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
 Note: No phenotype data present.
 Calculating allele frequencies... 0%done.
 --geno: 10 variants removed due to missing genotype data.
 990 variants remaining after main filters.
 --write-snplist: Variant IDs written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd40b2c7ed.snplist .
-End time: Sun Apr  6 17:33:47 2025
+/tmp/Rtmp1JCqYe/file83036d4065c0.snplist .
+End time: Wed Jul 16 12:36:36 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd6c73cf0e.log.
+Logging to /tmp/Rtmp1JCqYe/file830361ae5854.log.
 Options in effect:
   --geno 0.02
   --hwe 1e-06
   --maf 0.05
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd6c73cf0e
+  --out /tmp/Rtmp1JCqYe/file830361ae5854
   --pfile misc/dev/test_data/ref/ref.chr22
   --threads 1
   --write-snplist
 
-Start time: Sun Apr  6 17:33:47 2025
-1031753 MiB RAM detected, ~923883 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:36:36 2025
+1031700 MiB RAM detected, ~1016987 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -125,21 +118,21 @@ Calculating allele frequencies... 0%done.
 (--maf/--max-maf/--mac/--max-mac).
 590 variants remaining after main filters.
 --write-snplist: Variant IDs written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd6c73cf0e.snplist .
-End time: Sun Apr  6 17:33:47 2025
+/tmp/Rtmp1JCqYe/file830361ae5854.snplist .
+End time: Wed Jul 16 12:36:37 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd19c4ad11.chr22.log.
+Logging to /tmp/Rtmp1JCqYe/file8303687d654d.chr22.log.
 Options in effect:
-  --extract /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd3b35c7ba
+  --extract /tmp/Rtmp1JCqYe/file8303657849d3
   --indep-pairwise 1000 5 0.2
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd19c4ad11.chr22
+  --out /tmp/Rtmp1JCqYe/file8303687d654d.chr22
   --pfile misc/dev/test_data/ref/ref.chr22
   --threads 1
 
-Start time: Sun Apr  6 17:33:47 2025
-1031753 MiB RAM detected, ~923891 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:36:37 2025
+1031700 MiB RAM detected, ~1016987 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -150,25 +143,22 @@ misc/dev/test_data/ref/ref.chr22.psam.
 Calculating allele frequencies... 0%done.
 587 variants remaining after main filters.
 --indep-pairwise (1 compute thread): 0%50%415/587 variants removed.
-Writing...
Variant lists written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd19c4ad11.chr22.prune.in
-and
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd19c4ad11.chr22.prune.out
-.
-End time: Sun Apr  6 17:33:47 2025
+Writing...
Variant lists written to /tmp/Rtmp1JCqYe/file8303687d654d.chr22.prune.in and
+/tmp/Rtmp1JCqYe/file8303687d654d.chr22.prune.out .
+End time: Wed Jul 16 12:36:37 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_subset_chr22.log.
+Logging to /tmp/Rtmp1JCqYe/ref_subset_chr22.log.
 Options in effect:
-  --extract /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/file43afd3f933712
+  --extract /tmp/Rtmp1JCqYe/file83036ee621cb
   --make-pgen
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_subset_chr22
+  --out /tmp/Rtmp1JCqYe/ref_subset_chr22
   --pfile misc/dev/test_data/ref/ref.chr22
   --threads 1
 
-Start time: Sun Apr  6 17:33:47 2025
-1031753 MiB RAM detected, ~923891 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:36:37 2025
+1031700 MiB RAM detected, ~1016985 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -177,82 +167,74 @@ misc/dev/test_data/ref/ref.chr22.psam.
 3 categorical phenotypes loaded.
 --extract: 172 variants remaining.
 172 variants remaining after main filters.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_subset_chr22.psam ...
-done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_subset_chr22.pvar ...
-0%0%1%1%2%2%3%4%4%5%5%6%6%7%8%8%9%9%10%11%11%12%12%13%13%14%15%15%16%16%17%18%18%19%19%20%20%21%22%22%23%23%24%25%25%26%26%27%27%28%29%29%30%30%31%31%32%33%33%34%34%35%36%36%37%37%38%38%39%40%40%41%41%42%43%43%44%44%45%45%46%47%47%48%48%49%50%50%51%51%52%52%53%54%54%55%55%56%56%57%58%58%59%59%60%61%61%62%62%63%63%64%65%65%66%66%67%68%68%69%69%70%70%71%72%72%73%73%74%75%75%76%76%77%77%78%79%79%80%80%81%81%82%83%83%84%84%85%86%86%87%87%88%88%89%90%90%91%91%92%93%93%94%94%95%95%96%97%97%98%98%99%done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_subset_chr22.pgen ...
-0%done.
-End time: Sun Apr  6 17:33:47 2025
+Writing /tmp/Rtmp1JCqYe/ref_subset_chr22.psam ... done.
+Writing /tmp/Rtmp1JCqYe/ref_subset_chr22.pvar ... 0%0%1%1%2%2%3%4%4%5%5%6%6%7%8%8%9%9%10%11%11%12%12%13%13%14%15%15%16%16%17%18%18%19%19%20%20%21%22%22%23%23%24%25%25%26%26%27%27%28%29%29%30%30%31%31%32%33%33%34%34%35%36%36%37%37%38%38%39%40%40%41%41%42%43%43%44%44%45%45%46%47%47%48%48%49%50%50%51%51%52%52%53%54%54%55%55%56%56%57%58%58%59%59%60%61%61%62%62%63%63%64%65%65%66%66%67%68%68%69%69%70%70%71%72%72%73%73%74%75%75%76%76%77%77%78%79%79%80%80%81%81%82%83%83%84%84%85%86%86%87%87%88%88%89%90%90%91%91%92%93%93%94%94%95%95%96%97%97%98%98%99%done.
+Writing /tmp/Rtmp1JCqYe/ref_subset_chr22.pgen ... 0%done.
+End time: Wed Jul 16 12:36:37 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.log.
+Logging to /tmp/Rtmp1JCqYe/ref_merge.log.
 Options in effect:
-  --extract /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/extract.snplist
+  --extract /tmp/Rtmp1JCqYe/extract.snplist
   --make-pgen
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_subset_chr22
+  --out /tmp/Rtmp1JCqYe/ref_merge
+  --pfile /tmp/Rtmp1JCqYe/ref_subset_chr22
   --threads 1
 
-Start time: Sun Apr  6 17:33:47 2025
-1031753 MiB RAM detected, ~923891 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:36:37 2025
+1031700 MiB RAM detected, ~1016985 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_subset_chr22.psam.
-172 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_subset_chr22.pvar.
+/tmp/Rtmp1JCqYe/ref_subset_chr22.psam.
+172 variants loaded from /tmp/Rtmp1JCqYe/ref_subset_chr22.pvar.
 3 categorical phenotypes loaded.
 --extract: 172 variants remaining.
 172 variants remaining after main filters.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.psam ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.pvar ... 0%0%1%1%2%2%3%4%4%5%5%6%6%7%8%8%9%9%10%11%11%12%12%13%13%14%15%15%16%16%17%18%18%19%19%20%20%21%22%22%23%23%24%25%25%26%26%27%27%28%29%29%30%30%31%31%32%33%33%34%34%35%36%36%37%37%38%38%39%40%40%41%41%42%43%43%44%44%45%45%46%47%47%48%48%49%50%50%51%51%52%52%53%54%54%55%55%56%56%57%58%58%59%59%60%61%61%62%62%63%63%64%65%65%66%66%67%68%68%69%69%70%70%71%72%72%73%73%74%75%75%76%76%77%77%78%79%79%80%80%81%81%82%83%83%84%84%85%86%86%87%87%88%88%89%90%90%91%91%92%93%93%94%94%95%95%96%97%97%98%98%99%done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.pgen ... 0%done.
-End time: Sun Apr  6 17:33:47 2025
+Writing /tmp/Rtmp1JCqYe/ref_merge.psam ... done.
+Writing /tmp/Rtmp1JCqYe/ref_merge.pvar ... 0%0%1%1%2%2%3%4%4%5%5%6%6%7%8%8%9%9%10%11%11%12%12%13%13%14%15%15%16%16%17%18%18%19%19%20%20%21%22%22%23%23%24%25%25%26%26%27%27%28%29%29%30%30%31%31%32%33%33%34%34%35%36%36%37%37%38%38%39%40%40%41%41%42%43%43%44%44%45%45%46%47%47%48%48%49%50%50%51%51%52%52%53%54%54%55%55%56%56%57%58%58%59%59%60%61%61%62%62%63%63%64%65%65%66%66%67%68%68%69%69%70%70%71%72%72%73%73%74%75%75%76%76%77%77%78%79%79%80%80%81%81%82%83%83%84%84%85%86%86%87%87%88%88%89%90%90%91%91%92%93%93%94%94%95%95%96%97%97%98%98%99%done.
+Writing /tmp/Rtmp1JCqYe/ref_merge.pgen ... 0%done.
+End time: Wed Jul 16 12:36:37 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.log.
+Logging to /tmp/Rtmp1JCqYe/ref_merge.log.
 Options in effect:
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge
+  --out /tmp/Rtmp1JCqYe/ref_merge
   --pca 6 biallelic-var-wts
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge
+  --pfile /tmp/Rtmp1JCqYe/ref_merge
   --threads 1
 
-Start time: Sun Apr  6 17:33:47 2025
-1031753 MiB RAM detected, ~923891 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:36:37 2025
+1031700 MiB RAM detected, ~1016985 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.psam.
-172 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.pvar.
+/tmp/Rtmp1JCqYe/ref_merge.psam.
+172 variants loaded from /tmp/Rtmp1JCqYe/ref_merge.pvar.
 3 categorical phenotypes loaded.
 Calculating allele frequencies... 0%done.
 Constructing GRM: 0%83%done.
 Correcting for missingness... 0%done.
 Extracting eigenvalues and eigenvectors... done.
---pca: Variant weights written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.eigenvec.var .
---pca: Eigenvectors written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.eigenvec , and
-eigenvalues written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref_merge.eigenval .
-End time: Sun Apr  6 17:33:58 2025
+--pca: Variant weights written to /tmp/Rtmp1JCqYe/ref_merge.eigenvec.var .
+--pca: Eigenvectors written to /tmp/Rtmp1JCqYe/ref_merge.eigenvec , and
+eigenvalues written to /tmp/Rtmp1JCqYe/ref_merge.eigenval .
+End time: Wed Jul 16 12:36:42 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/profiles.chr22.log.
+Logging to /tmp/Rtmp1JCqYe/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/profiles.chr22
+  --out /tmp/Rtmp1JCqYe/profiles.chr22
   --pfile misc/dev/test_data/ref/ref.chr22
-  --score /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref.eigenvec.var header-read no-mean-imputation cols=+scoresums,-scoreavgs
+  --score /tmp/Rtmp1JCqYe/ref.eigenvec.var header-read no-mean-imputation cols=+scoresums,-scoreavgs
   --score-col-nums 4-9
   --threads 1
 
-Start time: Sun Apr  6 17:33:58 2025
-1031753 MiB RAM detected, ~923612 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:36:42 2025
+1031700 MiB RAM detected, ~1016869 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -260,35 +242,33 @@ misc/dev/test_data/ref/ref.chr22.psam.
 1000 variants loaded from misc/dev/test_data/ref/ref.chr22.pvar.
 3 categorical phenotypes loaded.
 
--score: 172 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/profiles.chr22.sscore .
-End time: Sun Apr  6 17:33:58 2025
+--score: Results written to /tmp/Rtmp1JCqYe/profiles.chr22.sscore .
+End time: Wed Jul 16 12:36:42 2025
 Warning message:
 In nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,  :
   There were missing values in resampled performance measures.
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/profiles.chr22.log.
+Logging to /tmp/Rtmp1JCqYe/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/profiles.chr22
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
-  --score /scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/ref.eigenvec.var header-read no-mean-imputation cols=+scoresums,-scoreavgs
+  --out /tmp/Rtmp1JCqYe/profiles.chr22
+  --pfile /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --score /tmp/Rtmp1JCqYe/ref.eigenvec.var header-read no-mean-imputation cols=+scoresums,-scoreavgs
   --score-col-nums 4-9
   --threads 1
 
-Start time: Sun Apr  6 17:34:06 2025
-1031753 MiB RAM detected, ~924043 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:36:49 2025
+1031700 MiB RAM detected, ~1016892 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
 1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
 Note: No phenotype data present.
 
--score: 172 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpMb1cWD/profiles.chr22.sscore .
-End time: Sun Apr  6 17:34:06 2025
+--score: Results written to /tmp/Rtmp1JCqYe/profiles.chr22.sscore .
+End time: Wed Jul 16 12:36:49 2025
 null device 
           1 
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/ancestry_reporter-example_plink2.log b/pipeline/misc/dev/test_data/output/reference/logs/ancestry_reporter-example_plink2.log
index 46b320de..e69de29b 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/ancestry_reporter-example_plink2.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/ancestry_reporter-example_plink2.log
@@ -1,7 +0,0 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/format_target_i-example_plink2-22.log b/pipeline/misc/dev/test_data/output/reference/logs/format_target_i-example_plink2-22.log
index 4f76c730..027f8527 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/format_target_i-example_plink2-22.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/format_target_i-example_plink2-22.log
@@ -1,22 +1,15 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.log.
+Logging to /tmp/Rtmp5fUlQt/subset.log.
 Options in effect:
-  --extract /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/extract_list_1.txt
+  --extract /tmp/Rtmp5fUlQt/extract_list_1.txt
   --make-pgen pvar-cols=
-  --out /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset
+  --out /tmp/Rtmp5fUlQt/subset
   --pfile misc/dev/test_data/target/example.chr22
   --threads 1
 
-Start time: Sun Apr  6 17:33:42 2025
-1031753 MiB RAM detected, ~924361 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:36:30 2025
+1031700 MiB RAM detected, ~1017229 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
@@ -25,49 +18,48 @@ misc/dev/test_data/target/example.chr22.psam.
 Note: No phenotype data present.
 --extract: 1000 variants remaining.
 1000 variants remaining after main filters.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.psam ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.pvar ... 0%1%2%3%4%5%6%7%8%9%10%11%12%13%14%15%16%17%18%19%20%21%22%23%24%25%26%27%28%29%30%31%32%33%34%35%36%37%38%39%40%41%42%43%44%45%46%47%48%49%50%51%52%53%54%55%56%57%58%59%60%61%62%63%64%65%66%67%68%69%70%71%72%73%74%75%76%77%78%79%80%81%82%83%84%85%86%87%88%89%90%91%92%93%94%95%96%97%98%99%done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.pgen ... 0%done.
-End time: Sun Apr  6 17:33:42 2025
+Writing /tmp/Rtmp5fUlQt/subset.psam ... done.
+Writing /tmp/Rtmp5fUlQt/subset.pvar ... 0%1%2%3%4%5%6%7%8%9%10%11%12%13%14%15%16%17%18%19%20%21%22%23%24%25%26%27%28%29%30%31%32%33%34%35%36%37%38%39%40%41%42%43%44%45%46%47%48%49%50%51%52%53%54%55%56%57%58%59%60%61%62%63%64%65%66%67%68%69%70%71%72%73%74%75%76%77%78%79%80%81%82%83%84%85%86%87%88%89%90%91%92%93%94%95%96%97%98%99%done.
+Writing /tmp/Rtmp5fUlQt/subset.pgen ... 0%done.
+End time: Wed Jul 16 12:36:30 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.log.
+Logging to /tmp/Rtmp5fUlQt/subset.log.
 Options in effect:
-  --extract /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/extract_list_2.txt
+  --extract /tmp/Rtmp5fUlQt/extract_list_2.txt
   --make-pgen
-  --out /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset
+  --out /tmp/Rtmp5fUlQt/subset
+  --pfile /tmp/Rtmp5fUlQt/subset
   --threads 1
 
-Start time: Sun Apr  6 17:33:42 2025
-1031753 MiB RAM detected, ~924361 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:36:30 2025
+1031700 MiB RAM detected, ~1017229 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 Warning: --make-pgen input and output filenames match.  Appending '~' to input
 filenames.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.psam~.
-1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.pvar~.
+/tmp/Rtmp5fUlQt/subset.psam~.
+1000 variants loaded from /tmp/Rtmp5fUlQt/subset.pvar~.
 Note: No phenotype data present.
 --extract: 1000 variants remaining.
 1000 variants remaining after main filters.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.psam ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.pvar ... 0%1%2%3%4%5%6%7%8%9%10%11%12%13%14%15%16%17%18%19%20%21%22%23%24%25%26%27%28%29%30%31%32%33%34%35%36%37%38%39%40%41%42%43%44%45%46%47%48%49%50%51%52%53%54%55%56%57%58%59%60%61%62%63%64%65%66%67%68%69%70%71%72%73%74%75%76%77%78%79%80%81%82%83%84%85%86%87%88%89%90%91%92%93%94%95%96%97%98%99%done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.pgen ... 0%done.
-End time: Sun Apr  6 17:33:42 2025
+Writing /tmp/Rtmp5fUlQt/subset.psam ... done.
+Writing /tmp/Rtmp5fUlQt/subset.pvar ... 0%1%2%3%4%5%6%7%8%9%10%11%12%13%14%15%16%17%18%19%20%21%22%23%24%25%26%27%28%29%30%31%32%33%34%35%36%37%38%39%40%41%42%43%44%45%46%47%48%49%50%51%52%53%54%55%56%57%58%59%60%61%62%63%64%65%66%67%68%69%70%71%72%73%74%75%76%77%78%79%80%81%82%83%84%85%86%87%88%89%90%91%92%93%94%95%96%97%98%99%done.
+Writing /tmp/Rtmp5fUlQt/subset.pgen ... 0%done.
+End time: Wed Jul 16 12:36:30 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.log.
+Logging to /tmp/Rtmp5fUlQt/REF.log.
 Options in effect:
   --make-pgen
-  --out /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF
+  --out /tmp/Rtmp5fUlQt/REF
   --pfile misc/dev/test_data/ref/ref.chr22
   --threads 1
-  --update-ids /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_ID_update.txt
+  --update-ids /tmp/Rtmp5fUlQt/ref_ID_update.txt
 
-Start time: Sun Apr  6 17:33:42 2025
-1031753 MiB RAM detected, ~924360 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:36:30 2025
+1031700 MiB RAM detected, ~1017229 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -75,79 +67,72 @@ misc/dev/test_data/ref/ref.chr22.psam.
 1000 variants loaded from misc/dev/test_data/ref/ref.chr22.pvar.
 3 categorical phenotypes loaded.
 --update-ids: 3313 samples updated.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.psam ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.pvar ... 0%1%2%3%4%5%6%7%8%9%10%11%12%13%14%15%16%17%18%19%20%21%22%23%24%25%26%27%28%29%30%31%32%33%34%35%36%37%38%39%40%41%42%43%44%45%46%47%48%49%50%51%52%53%54%55%56%57%58%59%60%61%62%63%64%65%66%67%68%69%70%71%72%73%74%75%76%77%78%79%80%81%82%83%84%85%86%87%88%89%90%91%92%93%94%95%96%97%98%99%done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.pgen ... 0%done.
-End time: Sun Apr  6 17:33:42 2025
+Writing /tmp/Rtmp5fUlQt/REF.psam ... done.
+Writing /tmp/Rtmp5fUlQt/REF.pvar ... 0%1%2%3%4%5%6%7%8%9%10%11%12%13%14%15%16%17%18%19%20%21%22%23%24%25%26%27%28%29%30%31%32%33%34%35%36%37%38%39%40%41%42%43%44%45%46%47%48%49%50%51%52%53%54%55%56%57%58%59%60%61%62%63%64%65%66%67%68%69%70%71%72%73%74%75%76%77%78%79%80%81%82%83%84%85%86%87%88%89%90%91%92%93%94%95%96%97%98%99%done.
+Writing /tmp/Rtmp5fUlQt/REF.pgen ... 0%done.
+End time: Wed Jul 16 12:36:30 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.log.
+Logging to /tmp/Rtmp5fUlQt/subset.log.
 Options in effect:
   --make-bed
-  --out /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset
+  --out /tmp/Rtmp5fUlQt/subset
+  --pfile /tmp/Rtmp5fUlQt/subset
   --threads 1
 
-Start time: Sun Apr  6 17:33:42 2025
-1031753 MiB RAM detected, ~924352 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:36:30 2025
+1031700 MiB RAM detected, ~1017222 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.psam.
-1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.pvar.
+/tmp/Rtmp5fUlQt/subset.psam.
+1000 variants loaded from /tmp/Rtmp5fUlQt/subset.pvar.
 Note: No phenotype data present.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.fam ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.bim ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.bed ... 0%done.
-End time: Sun Apr  6 17:33:42 2025
+Writing /tmp/Rtmp5fUlQt/subset.fam ... done.
+Writing /tmp/Rtmp5fUlQt/subset.bim ... done.
+Writing /tmp/Rtmp5fUlQt/subset.bed ... 0%done.
+End time: Wed Jul 16 12:36:30 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.log.
+Logging to /tmp/Rtmp5fUlQt/REF.log.
 Options in effect:
   --make-bed
-  --out /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF
+  --out /tmp/Rtmp5fUlQt/REF
+  --pfile /tmp/Rtmp5fUlQt/REF
   --threads 1
 
-Start time: Sun Apr  6 17:33:42 2025
-1031753 MiB RAM detected, ~924352 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:36:30 2025
+1031700 MiB RAM detected, ~1017222 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.psam.
-1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.pvar.
+/tmp/Rtmp5fUlQt/REF.psam.
+1000 variants loaded from /tmp/Rtmp5fUlQt/REF.pvar.
 3 categorical phenotypes loaded.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.fam ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.bim ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.bed ... 0%done.
-End time: Sun Apr  6 17:33:42 2025
+Writing /tmp/Rtmp5fUlQt/REF.fam ... done.
+Writing /tmp/Rtmp5fUlQt/REF.bim ... done.
+Writing /tmp/Rtmp5fUlQt/REF.bed ... 0%done.
+End time: Wed Jul 16 12:36:30 2025
 PLINK v1.90b6.21 64-bit (19 Oct 2020)          www.cog-genomics.org/plink/1.9/
 (C) 2005-2020 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ.log.
+Logging to /tmp/Rtmp5fUlQt/ref_targ.log.
 Options in effect:
   --allow-no-sex
-  --bfile /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset
-  --bmerge /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF
+  --bfile /tmp/Rtmp5fUlQt/subset
+  --bmerge /tmp/Rtmp5fUlQt/REF
   --make-bed
-  --out /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ
+  --out /tmp/Rtmp5fUlQt/ref_targ
 
-1031753 MB RAM detected; reserving 515876 MB for main workspace.
-12 people loaded from /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.fam.
-3313 people to be merged from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.fam.
+1031700 MB RAM detected; reserving 515850 MB for main workspace.
+12 people loaded from /tmp/Rtmp5fUlQt/subset.fam.
+3313 people to be merged from /tmp/Rtmp5fUlQt/REF.fam.
 Of these, 3313 are new, while 0 are present in the base dataset.
-1000 markers loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/subset.bim.
-1000 markers to be merged from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.bim.
+1000 markers loaded from /tmp/Rtmp5fUlQt/subset.bim.
+1000 markers to be merged from /tmp/Rtmp5fUlQt/REF.bim.
 Of these, 0 are new, while 1000 are present in the base dataset.
 Performing single-pass merge (3325 people, 1000 variants).
-
Pass 1: fileset #1 complete.
                                              
Merged fileset written to
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ-merge.bed +
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ-merge.bim +
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ-merge.fam .
+
Pass 1: fileset #1 complete.
                                              
Merged fileset written to /tmp/Rtmp5fUlQt/ref_targ-merge.bed +
+/tmp/Rtmp5fUlQt/ref_targ-merge.bim + /tmp/Rtmp5fUlQt/ref_targ-merge.fam .
 1000 variants loaded from .bim file.
 3325 people (1752 males, 1573 females) loaded from .fam.
 Using 1 thread (no multithreaded calculations invoked).
@@ -156,37 +141,35 @@ Calculating allele frequencies... 0%1%2%3%4%5%6%7%8%9%10%
 Total genotyping rate is 0.998018.
 1000 variants and 3325 people pass filters and QC.
 Note: No phenotypes present.
---make-bed to /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ.bed +
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ.bim +
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ.fam ... 0%1%2%3%4%5%6%7%8%9%10%11%12%13%14%15%16%17%18%19%20%21%22%23%24%25%26%27%28%29%30%31%32%33%34%35%36%37%38%39%40%41%42%43%44%45%46%47%48%49%50%51%52%53%54%55%56%57%58%59%60%61%62%63%64%65%66%67%68%69%70%71%72%73%74%75%76%77%78%79%80%81%82%83%84%85%86%87%88%89%90%91%92%93%94%95%96%97%98%99%done.
+--make-bed to /tmp/Rtmp5fUlQt/ref_targ.bed + /tmp/Rtmp5fUlQt/ref_targ.bim +
+/tmp/Rtmp5fUlQt/ref_targ.fam ... 0%1%2%3%4%5%6%7%8%9%10%11%12%13%14%15%16%17%18%19%20%21%22%23%24%25%26%27%28%29%30%31%32%33%34%35%36%37%38%39%40%41%42%43%44%45%46%47%48%49%50%51%52%53%54%55%56%57%58%59%60%61%62%63%64%65%66%67%68%69%70%71%72%73%74%75%76%77%78%79%80%81%82%83%84%85%86%87%88%89%90%91%92%93%94%95%96%97%98%99%done.
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.log.
+Logging to /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.log.
 Options in effect:
-  --bfile /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ
+  --bfile /tmp/Rtmp5fUlQt/ref_targ
   --make-pgen
-  --out /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
-  --remove /scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/REF.psam
+  --out /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --remove /tmp/Rtmp5fUlQt/REF.psam
   --threads 1
 
-Start time: Sun Apr  6 17:33:42 2025
-1031753 MiB RAM detected, ~924320 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:36:30 2025
+1031700 MiB RAM detected, ~1017222 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 3325 samples (1573 females, 1752 males; 3325 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ.fam.
-1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp6bFDWL/ref_targ.bim.
+/tmp/Rtmp5fUlQt/ref_targ.fam.
+1000 variants loaded from /tmp/Rtmp5fUlQt/ref_targ.bim.
 Note: No phenotype data present.
 --remove: 12 samples remaining.
 12 samples (5 females, 7 males; 12 founders) remaining after main filters.
 Writing
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam
 ... done.
 Writing
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar
 ... 0%1%2%3%4%5%6%7%8%9%10%11%12%13%14%15%16%17%18%19%20%21%22%23%24%25%26%27%28%29%30%31%32%33%34%35%36%37%38%39%40%41%42%43%44%45%46%47%48%49%50%51%52%53%54%55%56%57%58%59%60%61%62%63%64%65%66%67%68%69%70%71%72%73%74%75%76%77%78%79%80%81%82%83%84%85%86%87%88%89%90%91%92%93%94%95%96%97%98%99%done.
 Writing
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pgen
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pgen
 ... 0%done.
-End time: Sun Apr  6 17:33:42 2025
+End time: Wed Jul 16 12:36:30 2025
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/indiv_report_i-example_plink2-4_EAS.4_EAS.log b/pipeline/misc/dev/test_data/output/reference/logs/indiv_report_i-example_plink2-4_EAS.4_EAS.log
index fada32ff..41552a7d 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/indiv_report_i-example_plink2-4_EAS.4_EAS.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/indiv_report_i-example_plink2-4_EAS.4_EAS.log
@@ -1,10 +1,3 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 
 
 processing file: indiv_report_creator.Rmd
@@ -51,6 +44,6 @@ processing file: indiv_report_creator.Rmd
 41/41                   
 output file: indiv_report_creator.knit.md
 
-/tools/GenoPred/pipeline/.snakemake/conda/4e4fa1f1bb8db14f9a36511ee76ae12c_/bin/pandoc +RTS -K512m -RTS indiv_report_creator.knit.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/reports/individual/example_plink2-4_EAS.4_EAS-report.html --lua-filter /tools/GenoPred/pipeline/.snakemake/conda/4e4fa1f1bb8db14f9a36511ee76ae12c_/lib/R/library/rmarkdown/rmarkdown/lua/pagebreak.lua --lua-filter /tools/GenoPred/pipeline/.snakemake/conda/4e4fa1f1bb8db14f9a36511ee76ae12c_/lib/R/library/rmarkdown/rmarkdown/lua/latex-div.lua --embed-resources --standalone --variable bs3=TRUE --section-divs --table-of-contents --toc-depth 3 --variable toc_float=1 --variable toc_selectors=h1,h2,h3 --variable toc_collapsed=1 --variable toc_smooth_scroll=1 --variable toc_print=1 --template /tools/GenoPred/pipeline/.snakemake/conda/4e4fa1f1bb8db14f9a36511ee76ae12c_/lib/R/library/rmarkdown/rmd/h/default.html --no-highlight --variable highlightjs=1 --variable theme=cosmo --mathjax --variable 'mathjax-url=https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML' --include-in-header /scratch_tmp/prj/oliverpainfel/tmp/RtmpvLTo6g/rmarkdown-str43f6a3fdb2cfd.html 
+/tools/GenoPred/pipeline/.snakemake/conda/a5a8a0f260443effe6ae6b9313150c49_/bin/pandoc +RTS -K512m -RTS indiv_report_creator.knit.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/reports/individual/example_plink2-4_EAS.4_EAS-report.html --lua-filter /tools/GenoPred/pipeline/.snakemake/conda/a5a8a0f260443effe6ae6b9313150c49_/lib/R/library/rmarkdown/rmarkdown/lua/pagebreak.lua --lua-filter /tools/GenoPred/pipeline/.snakemake/conda/a5a8a0f260443effe6ae6b9313150c49_/lib/R/library/rmarkdown/rmarkdown/lua/latex-div.lua --embed-resources --standalone --variable bs3=TRUE --section-divs --table-of-contents --toc-depth 3 --variable toc_float=1 --variable toc_selectors=h1,h2,h3 --variable toc_collapsed=1 --variable toc_smooth_scroll=1 --variable toc_print=1 --template /tools/GenoPred/pipeline/.snakemake/conda/a5a8a0f260443effe6ae6b9313150c49_/lib/R/library/rmarkdown/rmd/h/default.html --no-highlight --variable highlightjs=1 --variable theme=cosmo --mathjax --variable 'mathjax-url=https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML' --include-in-header /tmp/RtmpuHiFHj/rmarkdown-str83cb85a7dc9ea.html 
 
-Output created: /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/reports/individual/example_plink2-4_EAS.4_EAS-report.html
+Output created: /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/reports/individual/example_plink2-4_EAS.4_EAS-report.html
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/pc_projection_i-example_plink2-TRANS.log b/pipeline/misc/dev/test_data/output/reference/logs/pc_projection_i-example_plink2-TRANS.log
index 51775204..33991dce 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/pc_projection_i-example_plink2-TRANS.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/pc_projection_i-example_plink2-TRANS.log
@@ -1,34 +1,26 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpEyxCEs/profiles.chr22.log.
+Logging to /tmp/RtmpPxGyvw/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpEyxCEs/profiles.chr22
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --out /tmp/RtmpPxGyvw/profiles.chr22
+  --pfile /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
   --read-freq misc/dev/test_data/ref/freq_files/TRANS/ref.TRANS.chr22.afreq
-  --score /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.eigenvec.var.gz header-read cols=+scoresums,-scoreavgs
+  --score /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.eigenvec.var.gz header-read cols=+scoresums,-scoreavgs
   --score-col-nums 4-9
   --threads 1
 
-Start time: Sun Apr  6 17:34:09 2025
-1031753 MiB RAM detected, ~924627 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:45:43 2025
+1031700 MiB RAM detected, ~1017263 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
 1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
 Note: No phenotype data present.
 --read-freq: PLINK 2 --freq file detected.
 
--read-freq: Frequencies for 1000 variants loaded.
 
--score: 172 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpEyxCEs/profiles.chr22.sscore .
-End time: Sun Apr  6 17:34:09 2025
+--score: Results written to /tmp/RtmpPxGyvw/profiles.chr22.sscore .
+End time: Wed Jul 16 12:45:43 2025
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_external_i-PGS002804.log b/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_external_i-PGS002804.log
index 41e3f734..fd194bc2 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_external_i-PGS002804.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_external_i-PGS002804.log
@@ -1,33 +1,10 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 GRCh36 match: 0% (Target), 0% (Ref)
 GRCh37 match: 100% (Target), 70.8% (Ref)
 GRCh38 match: 0% (Target), 0% (Ref)
-PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
-(C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/Rtmp5KMDED/profiles.chr22.log.
-Options in effect:
-  --chr 22
-  --out /scratch_tmp/prj/oliverpainfel/tmp/Rtmp5KMDED/profiles.chr22
-  --pfile misc/dev/test_data/ref/ref.chr22
-  --score /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/external/PGS002804/ref-PGS002804.score.gz header-read no-mean-imputation cols=+scoresums,-scoreavgs
-  --score-col-nums 4
-  --threads 1
-
-Start time: Sun Apr  6 17:33:40 2025
-1031753 MiB RAM detected, ~925668 available; reserving 515876 MiB for main
-workspace.
-Using 1 compute thread.
-3313 samples (1568 females, 1745 males; 3313 founders) loaded from
-misc/dev/test_data/ref/ref.chr22.psam.
-1000 variants loaded from misc/dev/test_data/ref/ref.chr22.pvar.
-3 categorical phenotypes loaded.
-
--score: 1000 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmp5KMDED/profiles.chr22.sscore .
-End time: Sun Apr  6 17:33:40 2025
+         BP CHR A1 A2 effect_weight        SNP
+1: 17054720  22  C  T      0.000001  rs9605903
+2: 17057138  22  G  T     -0.000306  rs5746647
+3: 17067005  22  C  T      0.000369  rs9605927
+4: 17154984  22  G  A     -0.000379  rs9605028
+5: 17196300  22  T  C      0.000091 rs17432784
+6: 17221495  22  C  T     -0.000324  rs1807512
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_lassosum_i-BODY04.log b/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_lassosum_i-BODY04.log
index 33aadb93..9c0f219c 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_lassosum_i-BODY04.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_lassosum_i-BODY04.log
@@ -1,31 +1,17 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpAJ00tp/ref_merge.log.
+Logging to /tmp/RtmpIdr2aD/ref_merge.log.
 Options in effect:
-  --extract /scratch_tmp/prj/oliverpainfel/tmp/RtmpAJ00tp/extract.snplist
+  --extract /tmp/RtmpIdr2aD/extract.snplist
   --keep misc/dev/test_data/ref/keep_files/EUR.keep
   --make-bed
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpAJ00tp/ref_merge
+  --out /tmp/RtmpIdr2aD/ref_merge
   --pfile misc/dev/test_data/ref/ref.chr22
   --threads 1
 
-Start time: Sun Apr  6 17:28:56 2025
-1031753 MiB RAM detected, ~924526 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:46:56 2025
+1031700 MiB RAM detected, ~1017048 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -37,10 +23,10 @@ misc/dev/test_data/ref/ref.chr22.psam.
 665 samples (335 females, 330 males; 665 founders) remaining after main
 filters.
 841 variants remaining after main filters.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpAJ00tp/ref_merge.fam ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpAJ00tp/ref_merge.bim ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpAJ00tp/ref_merge.bed ... 0%done.
-End time: Sun Apr  6 17:28:56 2025
+Writing /tmp/RtmpIdr2aD/ref_merge.fam ... done.
+Writing /tmp/RtmpIdr2aD/ref_merge.bim ... done.
+Writing /tmp/RtmpIdr2aD/ref_merge.bed ... 0%done.
+End time: Wed Jul 16 12:46:56 2025
 Coordinating summary stats with reference panel...
 Splitting genome by LD blocks ...
 Running lassosum ...
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_ptclump_i-BODY04.log b/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_ptclump_i-BODY04.log
index ecabefc0..20735cd9 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_ptclump_i-BODY04.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/prep_pgs_ptclump_i-BODY04.log
@@ -1,29 +1,22 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 Warning message:
 In min(hla$P) : no non-missing arguments to min; returning Inf
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/Rtmpr43qvd/file43c341a62c73.chr22.log.
+Logging to /tmp/Rtmpbv7aF5/file8394027a45111.chr22.log.
 Options in effect:
-  --clump /scratch_tmp/prj/oliverpainfel/tmp/Rtmpr43qvd/file43c341159aa6a
+  --clump /tmp/Rtmpbv7aF5/file839402841c688
   --clump-kb 250
   --clump-p1 1
   --clump-p2 1
   --clump-r2 0.1
   --keep misc/dev/test_data/ref/keep_files/EUR.keep
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/Rtmpr43qvd/file43c341a62c73.chr22
+  --out /tmp/Rtmpbv7aF5/file8394027a45111.chr22
   --pfile misc/dev/test_data/ref/ref.chr22
   --threads 1
 
-Start time: Sun Apr  6 17:34:10 2025
-1031753 MiB RAM detected, ~924681 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:46:58 2025
+1031700 MiB RAM detected, ~1017080 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -34,5 +27,5 @@ misc/dev/test_data/ref/ref.chr22.psam.
 665 samples (335 females, 330 males; 665 founders) remaining after main
 filters.
 
--clump: 0/841 index candidates processed.
--clump: 148 clumps formed from 841 index candidates.  
-Results written to /scratch_tmp/prj/oliverpainfel/tmp/Rtmpr43qvd/file43c341a62c73.chr22.clumps .
-End time: Sun Apr  6 17:34:10 2025
+Results written to /tmp/Rtmpbv7aF5/file8394027a45111.chr22.clumps .
+End time: Wed Jul 16 12:46:58 2025
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/ref_pca_i-TRANS.log b/pipeline/misc/dev/test_data/output/reference/logs/ref_pca_i-TRANS.log
index 3e8b72cf..c2cfac22 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/ref_pca_i-TRANS.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/ref_pca_i-TRANS.log
@@ -1,25 +1,18 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/file43854955df6d.log.
+Logging to /tmp/RtmpQfRlMA/file831e9251c468b.log.
 Options in effect:
   --geno 0.02
   --hwe 1e-06
   --maf 0.05
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/file43854955df6d
+  --out /tmp/RtmpQfRlMA/file831e9251c468b
   --pfile misc/dev/test_data/ref/ref.chr22
   --threads 1
   --write-snplist
 
-Start time: Sun Apr  6 17:28:43 2025
-1031753 MiB RAM detected, ~924691 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:37:21 2025
+1031700 MiB RAM detected, ~1017201 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -33,21 +26,21 @@ Calculating allele frequencies... 0%done.
 (--maf/--max-maf/--mac/--max-mac).
 590 variants remaining after main filters.
 --write-snplist: Variant IDs written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/file43854955df6d.snplist .
-End time: Sun Apr  6 17:28:43 2025
+/tmp/RtmpQfRlMA/file831e9251c468b.snplist .
+End time: Wed Jul 16 12:37:21 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/file4385441e053bf.chr22.log.
+Logging to /tmp/RtmpQfRlMA/file831e935f2b87c.chr22.log.
 Options in effect:
-  --extract /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/file4385478cdf3f9
+  --extract /tmp/RtmpQfRlMA/file831e95f01f21f
   --indep-pairwise 1000 5 0.2
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/file4385441e053bf.chr22
+  --out /tmp/RtmpQfRlMA/file831e935f2b87c.chr22
   --pfile misc/dev/test_data/ref/ref.chr22
   --threads 1
 
-Start time: Sun Apr  6 17:28:44 2025
-1031753 MiB RAM detected, ~924688 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:37:21 2025
+1031700 MiB RAM detected, ~1017201 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -58,25 +51,22 @@ misc/dev/test_data/ref/ref.chr22.psam.
 Calculating allele frequencies... 0%done.
 590 variants remaining after main filters.
 --indep-pairwise (1 compute thread): 0%50%418/590 variants removed.
-Writing...
Variant lists written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/file4385441e053bf.chr22.prune.in
-and
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/file4385441e053bf.chr22.prune.out
-.
-End time: Sun Apr  6 17:28:44 2025
+Writing...
Variant lists written to /tmp/RtmpQfRlMA/file831e935f2b87c.chr22.prune.in and
+/tmp/RtmpQfRlMA/file831e935f2b87c.chr22.prune.out .
+End time: Wed Jul 16 12:37:21 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_subset_chr22.log.
+Logging to /tmp/RtmpQfRlMA/ref_subset_chr22.log.
 Options in effect:
-  --extract /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/file438545f66c0a4
+  --extract /tmp/RtmpQfRlMA/file831e9bfd7c92
   --make-pgen
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_subset_chr22
+  --out /tmp/RtmpQfRlMA/ref_subset_chr22
   --pfile misc/dev/test_data/ref/ref.chr22
   --threads 1
 
-Start time: Sun Apr  6 17:28:44 2025
-1031753 MiB RAM detected, ~924691 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:37:21 2025
+1031700 MiB RAM detected, ~1017201 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -85,82 +75,74 @@ misc/dev/test_data/ref/ref.chr22.psam.
 3 categorical phenotypes loaded.
 --extract: 172 variants remaining.
 172 variants remaining after main filters.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_subset_chr22.psam ...
-done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_subset_chr22.pvar ...
-0%0%1%1%2%2%3%4%4%5%5%6%6%7%8%8%9%9%10%11%11%12%12%13%13%14%15%15%16%16%17%18%18%19%19%20%20%21%22%22%23%23%24%25%25%26%26%27%27%28%29%29%30%30%31%31%32%33%33%34%34%35%36%36%37%37%38%38%39%40%40%41%41%42%43%43%44%44%45%45%46%47%47%48%48%49%50%50%51%51%52%52%53%54%54%55%55%56%56%57%58%58%59%59%60%61%61%62%62%63%63%64%65%65%66%66%67%68%68%69%69%70%70%71%72%72%73%73%74%75%75%76%76%77%77%78%79%79%80%80%81%81%82%83%83%84%84%85%86%86%87%87%88%88%89%90%90%91%91%92%93%93%94%94%95%95%96%97%97%98%98%99%done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_subset_chr22.pgen ...
-0%done.
-End time: Sun Apr  6 17:28:44 2025
+Writing /tmp/RtmpQfRlMA/ref_subset_chr22.psam ... done.
+Writing /tmp/RtmpQfRlMA/ref_subset_chr22.pvar ... 0%0%1%1%2%2%3%4%4%5%5%6%6%7%8%8%9%9%10%11%11%12%12%13%13%14%15%15%16%16%17%18%18%19%19%20%20%21%22%22%23%23%24%25%25%26%26%27%27%28%29%29%30%30%31%31%32%33%33%34%34%35%36%36%37%37%38%38%39%40%40%41%41%42%43%43%44%44%45%45%46%47%47%48%48%49%50%50%51%51%52%52%53%54%54%55%55%56%56%57%58%58%59%59%60%61%61%62%62%63%63%64%65%65%66%66%67%68%68%69%69%70%70%71%72%72%73%73%74%75%75%76%76%77%77%78%79%79%80%80%81%81%82%83%83%84%84%85%86%86%87%87%88%88%89%90%90%91%91%92%93%93%94%94%95%95%96%97%97%98%98%99%done.
+Writing /tmp/RtmpQfRlMA/ref_subset_chr22.pgen ... 0%done.
+End time: Wed Jul 16 12:37:21 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.log.
+Logging to /tmp/RtmpQfRlMA/ref_merge.log.
 Options in effect:
-  --extract /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/extract.snplist
+  --extract /tmp/RtmpQfRlMA/extract.snplist
   --make-pgen
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_subset_chr22
+  --out /tmp/RtmpQfRlMA/ref_merge
+  --pfile /tmp/RtmpQfRlMA/ref_subset_chr22
   --threads 1
 
-Start time: Sun Apr  6 17:28:44 2025
-1031753 MiB RAM detected, ~924691 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:37:21 2025
+1031700 MiB RAM detected, ~1017201 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_subset_chr22.psam.
-172 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_subset_chr22.pvar.
+/tmp/RtmpQfRlMA/ref_subset_chr22.psam.
+172 variants loaded from /tmp/RtmpQfRlMA/ref_subset_chr22.pvar.
 3 categorical phenotypes loaded.
 --extract: 172 variants remaining.
 172 variants remaining after main filters.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.psam ... done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.pvar ... 0%0%1%1%2%2%3%4%4%5%5%6%6%7%8%8%9%9%10%11%11%12%12%13%13%14%15%15%16%16%17%18%18%19%19%20%20%21%22%22%23%23%24%25%25%26%26%27%27%28%29%29%30%30%31%31%32%33%33%34%34%35%36%36%37%37%38%38%39%40%40%41%41%42%43%43%44%44%45%45%46%47%47%48%48%49%50%50%51%51%52%52%53%54%54%55%55%56%56%57%58%58%59%59%60%61%61%62%62%63%63%64%65%65%66%66%67%68%68%69%69%70%70%71%72%72%73%73%74%75%75%76%76%77%77%78%79%79%80%80%81%81%82%83%83%84%84%85%86%86%87%87%88%88%89%90%90%91%91%92%93%93%94%94%95%95%96%97%97%98%98%99%done.
-Writing /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.pgen ... 0%done.
-End time: Sun Apr  6 17:28:44 2025
+Writing /tmp/RtmpQfRlMA/ref_merge.psam ... done.
+Writing /tmp/RtmpQfRlMA/ref_merge.pvar ... 0%0%1%1%2%2%3%4%4%5%5%6%6%7%8%8%9%9%10%11%11%12%12%13%13%14%15%15%16%16%17%18%18%19%19%20%20%21%22%22%23%23%24%25%25%26%26%27%27%28%29%29%30%30%31%31%32%33%33%34%34%35%36%36%37%37%38%38%39%40%40%41%41%42%43%43%44%44%45%45%46%47%47%48%48%49%50%50%51%51%52%52%53%54%54%55%55%56%56%57%58%58%59%59%60%61%61%62%62%63%63%64%65%65%66%66%67%68%68%69%69%70%70%71%72%72%73%73%74%75%75%76%76%77%77%78%79%79%80%80%81%81%82%83%83%84%84%85%86%86%87%87%88%88%89%90%90%91%91%92%93%93%94%94%95%95%96%97%97%98%98%99%done.
+Writing /tmp/RtmpQfRlMA/ref_merge.pgen ... 0%done.
+End time: Wed Jul 16 12:37:21 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.log.
+Logging to /tmp/RtmpQfRlMA/ref_merge.log.
 Options in effect:
   --memory 4000
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge
+  --out /tmp/RtmpQfRlMA/ref_merge
   --pca 6 biallelic-var-wts
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge
+  --pfile /tmp/RtmpQfRlMA/ref_merge
   --threads 1
 
-Start time: Sun Apr  6 17:28:44 2025
-1031753 MiB RAM detected, ~924691 available; reserving 4000 MiB for main
+Start time: Wed Jul 16 12:37:21 2025
+1031700 MiB RAM detected, ~1017201 available; reserving 4000 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.psam.
-172 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.pvar.
+/tmp/RtmpQfRlMA/ref_merge.psam.
+172 variants loaded from /tmp/RtmpQfRlMA/ref_merge.pvar.
 3 categorical phenotypes loaded.
 Calculating allele frequencies... 0%done.
 Constructing GRM: 0%83%done.
 Correcting for missingness... 0%done.
 Extracting eigenvalues and eigenvectors... done.
---pca: Variant weights written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.eigenvec.var .
---pca: Eigenvectors written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.eigenvec , and
-eigenvalues written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/ref_merge.eigenval .
-End time: Sun Apr  6 17:28:54 2025
+--pca: Variant weights written to /tmp/RtmpQfRlMA/ref_merge.eigenvec.var .
+--pca: Eigenvectors written to /tmp/RtmpQfRlMA/ref_merge.eigenvec , and
+eigenvalues written to /tmp/RtmpQfRlMA/ref_merge.eigenval .
+End time: Wed Jul 16 12:37:27 2025
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/profiles.chr22.log.
+Logging to /tmp/RtmpQfRlMA/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/profiles.chr22
+  --out /tmp/RtmpQfRlMA/profiles.chr22
   --pfile misc/dev/test_data/ref/ref.chr22
-  --score /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.eigenvec.var.gz header-read no-mean-imputation cols=+scoresums,-scoreavgs
+  --score /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.eigenvec.var.gz header-read no-mean-imputation cols=+scoresums,-scoreavgs
   --score-col-nums 4-9
   --threads 1
 
-Start time: Sun Apr  6 17:28:54 2025
-1031753 MiB RAM detected, ~924685 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:37:28 2025
+1031700 MiB RAM detected, ~1017190 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -168,6 +150,5 @@ misc/dev/test_data/ref/ref.chr22.psam.
 1000 variants loaded from misc/dev/test_data/ref/ref.chr22.pvar.
 3 categorical phenotypes loaded.
 
--score: 172 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpCzUObV/profiles.chr22.sscore .
-End time: Sun Apr  6 17:28:54 2025
+--score: Results written to /tmp/RtmpQfRlMA/profiles.chr22.sscore .
+End time: Wed Jul 16 12:37:28 2025
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/ref_pgs.log b/pipeline/misc/dev/test_data/output/reference/logs/ref_pgs.log
index a872e2bc..0e3661e5 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/ref_pgs.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/ref_pgs.log
@@ -1,26 +1,19 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 Loading required package: iterators
 Loading required package: parallel
 gwas_groups parameter is not present in user specified config file, so will use value in default config file.
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpeWmerQ/profiles.chr22.log.
+Logging to /tmp/RtmpJeyKDL/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpeWmerQ/profiles.chr22
+  --out /tmp/RtmpJeyKDL/profiles.chr22
   --pfile misc/dev/test_data/ref/ref.chr22
-  --score /scratch_tmp/prj/oliverpainfel/tmp/RtmpeWmerQ/all_score.txt header-read no-mean-imputation cols=+scoresums,-scoreavgs
+  --score /tmp/RtmpJeyKDL/all_score.txt header-read no-mean-imputation cols=+scoresums,-scoreavgs
   --score-col-nums 4-90
   --threads 1
 
-Start time: Sun Apr  6 17:34:12 2025
-1031753 MiB RAM detected, ~924710 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:47:00 2025
+1031700 MiB RAM detected, ~1017112 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 3313 samples (1568 females, 1745 males; 3313 founders) loaded from
@@ -28,6 +21,5 @@ misc/dev/test_data/ref/ref.chr22.psam.
 1000 variants loaded from misc/dev/test_data/ref/ref.chr22.pvar.
 3 categorical phenotypes loaded.
 
--score: 1000 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpeWmerQ/profiles.chr22.sscore .
-End time: Sun Apr  6 17:34:12 2025
+--score: Results written to /tmp/RtmpJeyKDL/profiles.chr22.sscore .
+End time: Wed Jul 16 12:47:00 2025
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/sample_report_i-example_plink2.log b/pipeline/misc/dev/test_data/output/reference/logs/sample_report_i-example_plink2.log
index 2470b35c..444ba987 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/sample_report_i-example_plink2.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/sample_report_i-example_plink2.log
@@ -1,10 +1,3 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 
 
 processing file: samp_report_creator.Rmd
@@ -39,6 +32,6 @@ processing file: samp_report_creator.Rmd
 29/29                   
 output file: samp_report_creator.knit.md
 
-/tools/GenoPred/pipeline/.snakemake/conda/4e4fa1f1bb8db14f9a36511ee76ae12c_/bin/pandoc +RTS -K512m -RTS samp_report_creator.knit.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/reports/example_plink2-report.html --lua-filter /tools/GenoPred/pipeline/.snakemake/conda/4e4fa1f1bb8db14f9a36511ee76ae12c_/lib/R/library/rmarkdown/rmarkdown/lua/pagebreak.lua --lua-filter /tools/GenoPred/pipeline/.snakemake/conda/4e4fa1f1bb8db14f9a36511ee76ae12c_/lib/R/library/rmarkdown/rmarkdown/lua/latex-div.lua --embed-resources --standalone --variable bs3=TRUE --section-divs --table-of-contents --toc-depth 3 --variable toc_float=1 --variable toc_selectors=h1,h2,h3 --variable toc_collapsed=1 --variable toc_smooth_scroll=1 --variable toc_print=1 --template /tools/GenoPred/pipeline/.snakemake/conda/4e4fa1f1bb8db14f9a36511ee76ae12c_/lib/R/library/rmarkdown/rmd/h/default.html --no-highlight --variable highlightjs=1 --variable theme=cosmo --mathjax --variable 'mathjax-url=https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML' --include-in-header /scratch_tmp/prj/oliverpainfel/tmp/RtmpYA1D8c/rmarkdown-str43ecf3fab081d.html 
+/tools/GenoPred/pipeline/.snakemake/conda/a5a8a0f260443effe6ae6b9313150c49_/bin/pandoc +RTS -K512m -RTS samp_report_creator.knit.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/reports/example_plink2-report.html --lua-filter /tools/GenoPred/pipeline/.snakemake/conda/a5a8a0f260443effe6ae6b9313150c49_/lib/R/library/rmarkdown/rmarkdown/lua/pagebreak.lua --lua-filter /tools/GenoPred/pipeline/.snakemake/conda/a5a8a0f260443effe6ae6b9313150c49_/lib/R/library/rmarkdown/rmarkdown/lua/latex-div.lua --embed-resources --standalone --variable bs3=TRUE --section-divs --table-of-contents --toc-depth 3 --variable toc_float=1 --variable toc_selectors=h1,h2,h3 --variable toc_collapsed=1 --variable toc_smooth_scroll=1 --variable toc_print=1 --template /tools/GenoPred/pipeline/.snakemake/conda/a5a8a0f260443effe6ae6b9313150c49_/lib/R/library/rmarkdown/rmd/h/default.html --no-highlight --variable highlightjs=1 --variable theme=cosmo --mathjax --variable 'mathjax-url=https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML' --include-in-header /tmp/RtmpsJgR8K/rmarkdown-str83c235cdd3d06.html 
 
-Output created: /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/reports/example_plink2-report.html
+Output created: /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/reports/example_plink2-report.html
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/score_reporter.log b/pipeline/misc/dev/test_data/output/reference/logs/score_reporter.log
index c21ac848..a950de15 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/score_reporter.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/score_reporter.log
@@ -1,8 +1,3 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
-[1] "/scratch_tmp/prj/oliverpainfel/tmp/genopred_test"
+        name                                          path            label
+1: PGS002804 misc/dev/test_data/ext_score/PGS002804.txt.gz Height Yengo EUR
+[1] "/scratch/prj/oliverpainfel/tmp/genopred_test"
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/sumstat_prep_i-BODY04.log b/pipeline/misc/dev/test_data/output/reference/logs/sumstat_prep_i-BODY04.log
index 46b320de..e69de29b 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/sumstat_prep_i-BODY04.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/sumstat_prep_i-BODY04.log
@@ -1,7 +0,0 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-AFR.log b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-AFR.log
index 6e0758de..c4b80b15 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-AFR.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-AFR.log
@@ -1,40 +1,41 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 Loading required package: iterators
 Loading required package: parallel
 gwas_groups parameter is not present in user specified config file, so will use value in default config file.
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpySbygY/profiles.chr22.log.
+Logging to /tmp/RtmpWRHNmK/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --keep /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/AFR.keep
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpySbygY/profiles.chr22
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --keep /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/AFR.keep
+  --out /tmp/RtmpWRHNmK/profiles.chr22
+  --pfile /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
   --read-freq misc/dev/test_data/ref/freq_files/AFR/ref.AFR.chr22.afreq
-  --score /scratch_tmp/prj/oliverpainfel/tmp/RtmpySbygY/all_score.txt header-read cols=+scoresums,-scoreavgs
+  --score /tmp/RtmpWRHNmK/all_score.txt header-read cols=+scoresums,-scoreavgs
   --score-col-nums 4-90
   --threads 1
 
-Start time: Sun Apr  6 17:34:20 2025
-1031753 MiB RAM detected, ~924855 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:47:05 2025
+1031700 MiB RAM detected, ~1017208 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
 1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
 Note: No phenotype data present.
 --keep: 2 samples remaining.
 2 samples (0 females, 2 males; 2 founders) remaining after main filters.
 --read-freq: PLINK 2 --freq file detected.
 
--read-freq: Frequencies for 1000 variants loaded.
 
--score: 1000 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpySbygY/profiles.chr22.sscore .
-End time: Sun Apr  6 17:34:20 2025
+--score: Results written to /tmp/RtmpWRHNmK/profiles.chr22.sscore .
+End time: Wed Jul 16 12:47:05 2025
+Warning messages:
+1: In file.remove(paste0(tmp_folder, "/plink_score_fbm.bk")) :
+  cannot remove file '/tmp/RtmpWRHNmK/plink_score_fbm.bk', reason 'No such file or directory'
+2: In file.remove(paste0(tmp_folder, "/profiles.chr", chr_i, ".bk")) :
+  cannot remove file '/tmp/RtmpWRHNmK/profiles.chr22.bk', reason 'No such file or directory'
+3: In file.remove(paste0(tmp_dir, "/PGS_fbm.bk")) :
+  cannot remove file '/tmp/RtmpWRHNmK/PGS_fbm.bk', reason 'No such file or directory'
+4: In file.remove(scores_i$scores$backingfile, scores_i$scores$rds) :
+  cannot remove file '/tmp/RtmpWRHNmK/plink_score_fbm.rds', reason 'No such file or directory'
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-CSA.log b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-CSA.log
index 83f2a917..ab20e18d 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-CSA.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-CSA.log
@@ -1,40 +1,41 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 Loading required package: iterators
 Loading required package: parallel
 gwas_groups parameter is not present in user specified config file, so will use value in default config file.
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpVPDLic/profiles.chr22.log.
+Logging to /tmp/RtmpzKWdiO/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --keep /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/CSA.keep
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpVPDLic/profiles.chr22
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --keep /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/CSA.keep
+  --out /tmp/RtmpzKWdiO/profiles.chr22
+  --pfile /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
   --read-freq misc/dev/test_data/ref/freq_files/CSA/ref.CSA.chr22.afreq
-  --score /scratch_tmp/prj/oliverpainfel/tmp/RtmpVPDLic/all_score.txt header-read cols=+scoresums,-scoreavgs
+  --score /tmp/RtmpzKWdiO/all_score.txt header-read cols=+scoresums,-scoreavgs
   --score-col-nums 4-90
   --threads 1
 
-Start time: Sun Apr  6 17:34:18 2025
-1031753 MiB RAM detected, ~924852 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:47:14 2025
+1031700 MiB RAM detected, ~1017207 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
 1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
 Note: No phenotype data present.
 --keep: 1 sample remaining.
 1 sample (0 females, 1 male; 1 founder) remaining after main filters.
 --read-freq: PLINK 2 --freq file detected.
 
--read-freq: Frequencies for 1000 variants loaded.
 
--score: 1000 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpVPDLic/profiles.chr22.sscore .
-End time: Sun Apr  6 17:34:18 2025
+--score: Results written to /tmp/RtmpzKWdiO/profiles.chr22.sscore .
+End time: Wed Jul 16 12:47:14 2025
+Warning messages:
+1: In file.remove(paste0(tmp_folder, "/plink_score_fbm.bk")) :
+  cannot remove file '/tmp/RtmpzKWdiO/plink_score_fbm.bk', reason 'No such file or directory'
+2: In file.remove(paste0(tmp_folder, "/profiles.chr", chr_i, ".bk")) :
+  cannot remove file '/tmp/RtmpzKWdiO/profiles.chr22.bk', reason 'No such file or directory'
+3: In file.remove(paste0(tmp_dir, "/PGS_fbm.bk")) :
+  cannot remove file '/tmp/RtmpzKWdiO/PGS_fbm.bk', reason 'No such file or directory'
+4: In file.remove(scores_i$scores$backingfile, scores_i$scores$rds) :
+  cannot remove file '/tmp/RtmpzKWdiO/plink_score_fbm.rds', reason 'No such file or directory'
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-EAS.log b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-EAS.log
index 27207be2..e58b8de5 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-EAS.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-EAS.log
@@ -1,40 +1,41 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 Loading required package: iterators
 Loading required package: parallel
 gwas_groups parameter is not present in user specified config file, so will use value in default config file.
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/Rtmpx4Y2G4/profiles.chr22.log.
+Logging to /tmp/RtmpKM9CL7/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --keep /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/EAS.keep
-  --out /scratch_tmp/prj/oliverpainfel/tmp/Rtmpx4Y2G4/profiles.chr22
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --keep /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/EAS.keep
+  --out /tmp/RtmpKM9CL7/profiles.chr22
+  --pfile /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
   --read-freq misc/dev/test_data/ref/freq_files/EAS/ref.EAS.chr22.afreq
-  --score /scratch_tmp/prj/oliverpainfel/tmp/Rtmpx4Y2G4/all_score.txt header-read cols=+scoresums,-scoreavgs
+  --score /tmp/RtmpKM9CL7/all_score.txt header-read cols=+scoresums,-scoreavgs
   --score-col-nums 4-90
   --threads 1
 
-Start time: Sun Apr  6 17:34:17 2025
-1031753 MiB RAM detected, ~924835 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:47:16 2025
+1031700 MiB RAM detected, ~1017205 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
 1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
 Note: No phenotype data present.
 --keep: 2 samples remaining.
 2 samples (1 female, 1 male; 2 founders) remaining after main filters.
 --read-freq: PLINK 2 --freq file detected.
 
--read-freq: Frequencies for 1000 variants loaded.
 
--score: 1000 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/Rtmpx4Y2G4/profiles.chr22.sscore .
-End time: Sun Apr  6 17:34:17 2025
+--score: Results written to /tmp/RtmpKM9CL7/profiles.chr22.sscore .
+End time: Wed Jul 16 12:47:16 2025
+Warning messages:
+1: In file.remove(paste0(tmp_folder, "/plink_score_fbm.bk")) :
+  cannot remove file '/tmp/RtmpKM9CL7/plink_score_fbm.bk', reason 'No such file or directory'
+2: In file.remove(paste0(tmp_folder, "/profiles.chr", chr_i, ".bk")) :
+  cannot remove file '/tmp/RtmpKM9CL7/profiles.chr22.bk', reason 'No such file or directory'
+3: In file.remove(paste0(tmp_dir, "/PGS_fbm.bk")) :
+  cannot remove file '/tmp/RtmpKM9CL7/PGS_fbm.bk', reason 'No such file or directory'
+4: In file.remove(scores_i$scores$backingfile, scores_i$scores$rds) :
+  cannot remove file '/tmp/RtmpKM9CL7/plink_score_fbm.rds', reason 'No such file or directory'
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-EUR.log b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-EUR.log
index 97aea426..e8710a2c 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-EUR.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-EUR.log
@@ -1,40 +1,41 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 Loading required package: iterators
 Loading required package: parallel
 gwas_groups parameter is not present in user specified config file, so will use value in default config file.
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpJ5TuyM/profiles.chr22.log.
+Logging to /tmp/RtmpenB4bT/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --keep /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/EUR.keep
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpJ5TuyM/profiles.chr22
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --keep /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/ancestry/keep_files/model_based/EUR.keep
+  --out /tmp/RtmpenB4bT/profiles.chr22
+  --pfile /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
   --read-freq misc/dev/test_data/ref/freq_files/EUR/ref.EUR.chr22.afreq
-  --score /scratch_tmp/prj/oliverpainfel/tmp/RtmpJ5TuyM/all_score.txt header-read cols=+scoresums,-scoreavgs
+  --score /tmp/RtmpenB4bT/all_score.txt header-read cols=+scoresums,-scoreavgs
   --score-col-nums 4-90
   --threads 1
 
-Start time: Sun Apr  6 17:34:19 2025
-1031753 MiB RAM detected, ~924852 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:47:12 2025
+1031700 MiB RAM detected, ~1017208 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
 1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
 Note: No phenotype data present.
 --keep: 5 samples remaining.
 5 samples (2 females, 3 males; 5 founders) remaining after main filters.
 --read-freq: PLINK 2 --freq file detected.
 
--read-freq: Frequencies for 1000 variants loaded.
 
--score: 1000 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpJ5TuyM/profiles.chr22.sscore .
-End time: Sun Apr  6 17:34:19 2025
+--score: Results written to /tmp/RtmpenB4bT/profiles.chr22.sscore .
+End time: Wed Jul 16 12:47:12 2025
+Warning messages:
+1: In file.remove(paste0(tmp_folder, "/plink_score_fbm.bk")) :
+  cannot remove file '/tmp/RtmpenB4bT/plink_score_fbm.bk', reason 'No such file or directory'
+2: In file.remove(paste0(tmp_folder, "/profiles.chr", chr_i, ".bk")) :
+  cannot remove file '/tmp/RtmpenB4bT/profiles.chr22.bk', reason 'No such file or directory'
+3: In file.remove(paste0(tmp_dir, "/PGS_fbm.bk")) :
+  cannot remove file '/tmp/RtmpenB4bT/PGS_fbm.bk', reason 'No such file or directory'
+4: In file.remove(scores_i$scores$backingfile, scores_i$scores$rds) :
+  cannot remove file '/tmp/RtmpenB4bT/plink_score_fbm.rds', reason 'No such file or directory'
diff --git a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-TRANS.log b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-TRANS.log
index be11e793..d72e305c 100644
--- a/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-TRANS.log
+++ b/pipeline/misc/dev/test_data/output/reference/logs/target_pgs_i-example_plink2-TRANS.log
@@ -1,40 +1,41 @@
-During startup - Warning messages:
-1: Setting LC_COLLATE failed, using "C" 
-2: Setting LC_TIME failed, using "C" 
-3: Setting LC_MESSAGES failed, using "C" 
-4: Setting LC_MONETARY failed, using "C" 
-5: Setting LC_PAPER failed, using "C" 
-6: Setting LC_MEASUREMENT failed, using "C" 
 Loading required package: iterators
 Loading required package: parallel
 gwas_groups parameter is not present in user specified config file, so will use value in default config file.
 PLINK v2.00a5.12LM 64-bit Intel (25 Jun 2024)  www.cog-genomics.org/plink/2.0/
 (C) 2005-2024 Shaun Purcell, Christopher Chang   GNU General Public License v3
-Logging to /scratch_tmp/prj/oliverpainfel/tmp/RtmpF339sT/profiles.chr22.log.
+Logging to /tmp/Rtmp5RrbcY/profiles.chr22.log.
 Options in effect:
   --chr 22
-  --out /scratch_tmp/prj/oliverpainfel/tmp/RtmpF339sT/profiles.chr22
-  --pfile /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
+  --out /tmp/Rtmp5RrbcY/profiles.chr22
+  --pfile /scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22
   --read-freq misc/dev/test_data/ref/freq_files/TRANS/ref.TRANS.chr22.afreq
-  --score /scratch_tmp/prj/oliverpainfel/tmp/RtmpF339sT/all_score.txt header-read cols=+scoresums,-scoreavgs
+  --score /tmp/Rtmp5RrbcY/all_score.txt header-read cols=+scoresums,-scoreavgs
   --score-col-nums 4-90
   --threads 1
 
-Start time: Sun Apr  6 17:34:15 2025
-1031753 MiB RAM detected, ~924756 available; reserving 515876 MiB for main
+Start time: Wed Jul 16 12:47:08 2025
+1031700 MiB RAM detected, ~1017209 available; reserving 515850 MiB for main
 workspace.
 Using 1 compute thread.
 12 samples (5 females, 7 males; 12 founders) loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.psam.
 1000 variants loaded from
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
+/scratch/prj/oliverpainfel/tmp/genopred_test/example_plink2/geno/example_plink2.ref.chr22.pvar.
 Note: No phenotype data present.
 --read-freq: PLINK 2 --freq file detected.
 
--read-freq: Frequencies for 1000 variants loaded.
 
--score: 1000 variants processed.
---score: Results written to
-/scratch_tmp/prj/oliverpainfel/tmp/RtmpF339sT/profiles.chr22.sscore .
-End time: Sun Apr  6 17:34:15 2025
+--score: Results written to /tmp/Rtmp5RrbcY/profiles.chr22.sscore .
+End time: Wed Jul 16 12:47:08 2025
+Warning messages:
+1: In file.remove(paste0(tmp_folder, "/plink_score_fbm.bk")) :
+  cannot remove file '/tmp/Rtmp5RrbcY/plink_score_fbm.bk', reason 'No such file or directory'
+2: In file.remove(paste0(tmp_folder, "/profiles.chr", chr_i, ".bk")) :
+  cannot remove file '/tmp/Rtmp5RrbcY/profiles.chr22.bk', reason 'No such file or directory'
+3: In file.remove(paste0(tmp_dir, "/PGS_fbm.bk")) :
+  cannot remove file '/tmp/Rtmp5RrbcY/PGS_fbm.bk', reason 'No such file or directory'
+4: In file.remove(scores_i$scores$backingfile, scores_i$scores$rds) :
+  cannot remove file '/tmp/Rtmp5RrbcY/plink_score_fbm.rds', reason 'No such file or directory'
 [1] 1
 [1] 2
 [1] 3
diff --git a/pipeline/misc/dev/test_data/output/reference/pc_score_files/TRANS/ref-TRANS-pcs.eigenvec.var.gz b/pipeline/misc/dev/test_data/output/reference/pc_score_files/TRANS/ref-TRANS-pcs.eigenvec.var.gz
index d0b64990a0d64a5a370315db128342ea3ec615a7..5892acf29a76e5c723162ccf2182c6ffb5557771 100644
GIT binary patch
delta 17
Ycmcblc}bH)zMF&NdtZ6RMvhY=06csKv;Y7A

delta 17
Zcmcblc}bH)zMF&N*y>N|8#zvi002Im2O0nX

diff --git a/pipeline/misc/dev/test_data/output/reference/pc_score_files/TRANS/ref-TRANS-pcs.log b/pipeline/misc/dev/test_data/output/reference/pc_score_files/TRANS/ref-TRANS-pcs.log
index 3c93bdf2..ded740ff 100644
--- a/pipeline/misc/dev/test_data/output/reference/pc_score_files/TRANS/ref-TRANS-pcs.log
+++ b/pipeline/misc/dev/test_data/output/reference/pc_score_files/TRANS/ref-TRANS-pcs.log
@@ -3,28 +3,28 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter     Value                                                                                        
- ref_plink_chr misc/dev/test_data/ref/ref.chr                                                               
- ref_keep      NA                                                                                           
- maf           0.05                                                                                         
- geno          0.02                                                                                         
- hwe           1e-06                                                                                        
- n_pcs         6                                                                                            
- plink2        plink2                                                                                       
- output        /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs
- pop_data      misc/dev/test_data/ref/ref.pop.txt                                                           
- memory        5000                                                                                         
- test          chr22                                                                                        
- help          FALSE                                                                                        
- output_dir    /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/             
+ Parameter     Value                                                                                    
+ ref_plink_chr misc/dev/test_data/ref/ref.chr                                                           
+ ref_keep      NA                                                                                       
+ maf           0.05                                                                                     
+ geno          0.02                                                                                     
+ hwe           1e-06                                                                                    
+ n_pcs         6                                                                                        
+ plink2        plink2                                                                                   
+ output        /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs
+ pop_data      misc/dev/test_data/ref/ref.pop.txt                                                       
+ memory        5000                                                                                     
+ test          chr22                                                                                    
+ help          FALSE                                                                                    
+ output_dir    /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/             
 ---------------
-Analysis started at 2025-04-06 17:28:43
+Analysis started at 2025-07-16 12:37:21
 Identifying LD independent SNPs based on reference data.
 590 variants after removal of LD high regions.
 172 independent variants retained.
 Performing PCA based on reference.
 Computing reference PCs.
-Analysis finished at 2025-04-06 17:28:54 
-Analysis duration was 10.94 secs 
+Analysis finished at 2025-07-16 12:37:28 
+Analysis duration was 7.06 secs 
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/external/PGS002804/ref-PGS002804-TRANS.model.rds b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/external/PGS002804/ref-PGS002804-TRANS.model.rds
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AegFUf

diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/external/PGS002804/ref-PGS002804.log b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/external/PGS002804/ref-PGS002804.log
index ea9dbf95..8258e446 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/external/PGS002804/ref-PGS002804.log
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/external/PGS002804/ref-PGS002804.log
@@ -3,27 +3,24 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter     Value                                                                                                      
- ref_plink_chr misc/dev/test_data/ref/ref.chr                                                                             
- ref_pcs       /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles     
- pop_data      misc/dev/test_data/ref/ref.pop.txt                                                                         
- plink2        plink2                                                                                                     
- output        /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/external/PGS002804/ref-PGS002804
- score         misc/dev/test_data/ext_score/PGS002804.txt.gz                                                              
- test          chr22                                                                                                      
- help          FALSE                                                                                                      
- output_dir    /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/external/PGS002804/             
+ Parameter     Value                                                                                                  
+ ref_plink_chr misc/dev/test_data/ref/ref.chr                                                                         
+ ref_pcs       /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles     
+ plink2        plink2                                                                                                 
+ output        /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/external/PGS002804/ref-PGS002804
+ score         misc/dev/test_data/ext_score/PGS002804.txt.gz                                                          
+ test          chr22                                                                                                  
+ help          FALSE                                                                                                  
+ output_dir    /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/external/PGS002804/             
 ---------------
-Analysis started at 2025-04-06 17:33:39
+Analysis started at 2025-07-16 12:45:39
 Score file contains 708 variants.
 After removal of variants that are not SNPs or are ambiguous, 708 variants remain.
 Merging sumstats with reference using CHR, BP, A1, and A2
 Genome build GRCh37 detected.
 After matching variants to the reference, 708 variants remain.
 0 variants were flipped to match reference.
-Calculating polygenic scores in reference.
-Deriving trans-ancestry PGS models...
-Analysis finished at 2025-04-06 17:33:40 
-Analysis duration was 1.04 secs 
+Analysis finished at 2025-07-16 12:45:40 
+Analysis duration was 1.02 secs 
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/external/PGS002804/ref-PGS002804.score.gz b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/external/PGS002804/ref-PGS002804.score.gz
index cbea74ddfbfe6e043909cf07ba7688c0724e6bdc..b7f85380174428f96430ecdb60e461540b0e122c 100644
GIT binary patch
delta 17
Ycmca$e8HGQzMF&N$%OKZjT|Q=0X*LZwg3PC

delta 17
Zcmca$e8HGQzMF&N@tRNR8#zu$0sugG2TK3|

diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AFR.profiles b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AFR.profiles
index 51d4cf15..9d7a5278 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AFR.profiles
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AFR.profiles
@@ -1,689 +1,689 @@
 FID IID SCORE_s0.2_lambda0.001 SCORE_s0.2_lambda0.00127427498570313 SCORE_s0.2_lambda0.00162377673918872 SCORE_s0.2_lambda0.00206913808111479 SCORE_s0.2_lambda0.00263665089873036 SCORE_s0.2_lambda0.00335981828628378 SCORE_s0.2_lambda0.00428133239871939 SCORE_s0.2_lambda0.00545559478116852 SCORE_s0.2_lambda0.00695192796177561 SCORE_s0.2_lambda0.00885866790410083 SCORE_s0.2_lambda0.0112883789168469 SCORE_s0.2_lambda0.0143844988828766 SCORE_s0.2_lambda0.0183298071083244 SCORE_s0.2_lambda0.0233572146909012 SCORE_s0.2_lambda0.0297635144163132 SCORE_s0.2_lambda0.0379269019073225 SCORE_s0.2_lambda0.0483293023857176 SCORE_s0.2_lambda0.0615848211066027 SCORE_s0.2_lambda0.0784759970351462 SCORE_s0.2_lambda0.1 SCORE_s0.5_lambda0.001 SCORE_s0.5_lambda0.00127427498570313 SCORE_s0.5_lambda0.00162377673918872 SCORE_s0.5_lambda0.00206913808111479 SCORE_s0.5_lambda0.00263665089873036 SCORE_s0.5_lambda0.00335981828628378 SCORE_s0.5_lambda0.00428133239871939 SCORE_s0.5_lambda0.00545559478116852 SCORE_s0.5_lambda0.00695192796177561 SCORE_s0.5_lambda0.00885866790410083 SCORE_s0.5_lambda0.0112883789168469 SCORE_s0.5_lambda0.0143844988828766 SCORE_s0.5_lambda0.0183298071083244 SCORE_s0.5_lambda0.0233572146909012 SCORE_s0.5_lambda0.0297635144163132 SCORE_s0.5_lambda0.0379269019073225 SCORE_s0.5_lambda0.0483293023857176 SCORE_s0.5_lambda0.0615848211066027 SCORE_s0.5_lambda0.0784759970351462 SCORE_s0.5_lambda0.1 SCORE_s0.9_lambda0.001 SCORE_s0.9_lambda0.00127427498570313 SCORE_s0.9_lambda0.00162377673918872 SCORE_s0.9_lambda0.00206913808111479 SCORE_s0.9_lambda0.00263665089873036 SCORE_s0.9_lambda0.00335981828628378 SCORE_s0.9_lambda0.00428133239871939 SCORE_s0.9_lambda0.00545559478116852 SCORE_s0.9_lambda0.00695192796177561 SCORE_s0.9_lambda0.00885866790410083 SCORE_s0.9_lambda0.0112883789168469 SCORE_s0.9_lambda0.0143844988828766 SCORE_s0.9_lambda0.0183298071083244 SCORE_s0.9_lambda0.0233572146909012 SCORE_s0.9_lambda0.0297635144163132 SCORE_s0.9_lambda0.0379269019073225 SCORE_s0.9_lambda0.0483293023857176 SCORE_s0.9_lambda0.0615848211066027 SCORE_s0.9_lambda0.0784759970351462 SCORE_s0.9_lambda0.1 SCORE_s1_lambda0.001 SCORE_s1_lambda0.00127427498570313 SCORE_s1_lambda0.00162377673918872 SCORE_s1_lambda0.00206913808111479 SCORE_s1_lambda0.00263665089873036 SCORE_s1_lambda0.00335981828628378 SCORE_s1_lambda0.00428133239871939 SCORE_s1_lambda0.00545559478116852 SCORE_s1_lambda0.00695192796177561 SCORE_s1_lambda0.00885866790410083 SCORE_s1_lambda0.0112883789168469 SCORE_s1_lambda0.0143844988828766 SCORE_s1_lambda0.0183298071083244 SCORE_s1_lambda0.0233572146909012 SCORE_s1_lambda0.0297635144163132 SCORE_s1_lambda0.0379269019073225 SCORE_s1_lambda0.0483293023857176 SCORE_s1_lambda0.0615848211066027 SCORE_s1_lambda0.0784759970351462 SCORE_s1_lambda0.1
-HG01879 HG01879 -1.452 -1.401 -1.082 -0.663 0.116 0.365 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.132 -1.052 -0.856 -0.555 -0.102 0.31 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.119 -1.05 -0.948 -0.731 -0.39 0.019 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.203 -1.171 -1.033 -0.773 -0.521 -0.071 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01882 HG01882 0.589 0.451 0.43 0.695 0.942 0.547 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.926 0.823 0.659 0.644 0.771 0.514 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.872 0.85 0.801 0.613 0.577 0.404 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.769 0.731 0.739 0.54 0.563 0.33 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01883 HG01883 -1.091 -1.388 -1.315 -0.851 -0.429 -0.108 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.146 -1.195 -1.188 -0.775 -0.421 -0.165 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.715 -0.651 -0.576 -0.419 -0.353 -0.269 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.504 -0.4 -0.16 -0.013 -0.01 -0.296 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01885 HG01885 0.893 1.07 1.256 1.362 1.598 1.937 1.295 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.117 1.281 1.428 1.478 1.782 2.239 1.298 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.939 0.981 1.026 1.102 1.757 2.68 1.301 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.384 0.359 0.413 0.586 1.348 2.795 1.301 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01886 HG01886 1.128 1.126 1.143 1.074 0.579 -0.066 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.963 1.064 1.163 1.129 0.823 -0.018 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.114 1.238 1.393 1.45 1.269 0.3 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.256 1.334 1.477 1.557 1.456 0.402 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01889 HG01889 -0.261 -0.388 -0.143 0.249 0.236 -0.322 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.001 0.028 0.259 0.491 0.454 -0.34 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.119 0.262 0.412 0.617 0.777 -0.07 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.273 0.432 0.556 0.59 0.801 0.106 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01890 HG01890 -0.398 -0.439 -0.374 -0.063 0.511 1.086 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.519 -0.492 -0.337 -0.171 0.191 1.037 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.548 -0.564 -0.546 -0.528 -0.309 0.68 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.654 -0.609 -0.624 -0.596 -0.502 0.544 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01891 HG01891 0.74 0.691 0.879 1.337 1.662 1.49 1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.899 0.881 1.039 1.287 1.584 1.43 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.947 0.973 0.954 1.054 1.316 1.334 1.445 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.905 0.996 0.976 0.961 1.242 1.272 1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01894 HG01894 -0.213 0.042 0.256 0.626 1.112 1.07 0.419 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.052 0.169 0.294 0.737 1.144 1.135 0.39 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.182 0.348 0.556 1.033 1.359 1.148 0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.37 0.478 0.717 1.167 1.605 1.189 0.339 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01896 HG01896 -0.184 -0.312 -0.415 -0.355 0.009 -0.541 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.282 -0.421 -0.379 -0.401 -0.018 -0.462 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.415 -0.519 -0.541 -0.398 -0.146 -0.326 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.486 -0.54 -0.548 -0.483 -0.112 -0.264 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01912 HG01912 0.33 0.459 0.767 0.885 0.972 0.859 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.374 0.485 0.736 0.896 0.858 1.051 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.205 0.335 0.471 0.511 0.591 1.217 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.251 -0.156 -0.025 0.13 0.205 1.307 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01914 HG01914 0.356 0.357 0.334 0.381 0.733 1.48 1.574 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.28 0.295 0.413 0.53 0.911 1.585 1.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.326 0.282 0.298 0.578 1.14 1.789 1.505 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.352 0.216 0.202 0.328 0.971 1.885 1.494 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01915 HG01915 -0.645 -0.837 -0.895 -0.817 -0.539 -0.451 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.432 -0.535 -0.618 -0.624 -0.594 -0.426 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.484 -0.519 -0.581 -0.599 -0.597 -0.374 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.539 -0.605 -0.737 -0.735 -0.747 -0.328 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01956 HG01956 -0.753 -1.025 -1.178 -1.345 -1.337 -0.692 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.686 -0.888 -1.086 -1.219 -1.351 -0.637 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.325 -0.498 -0.726 -0.872 -1.053 -0.789 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.249 -0.333 -0.397 -0.569 -0.865 -0.827 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01958 HG01958 1.391 1.083 0.54 0.009 -0.376 -0.392 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.062 0.71 0.214 -0.155 -0.641 -0.454 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.145 -0.031 -0.198 -0.303 -0.817 -0.635 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.315 -0.351 -0.392 -0.392 -0.845 -0.678 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01985 HG01985 -0.559 -0.639 -0.769 -0.742 -0.517 0.039 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.006 -1.062 -1.005 -0.826 -0.576 0.015 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.011 -1.094 -1.065 -1.013 -0.684 -0.151 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.831 -0.959 -1.046 -1.135 -0.884 -0.22 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01986 HG01986 -0.177 -0.438 -0.533 -0.683 -0.219 0.606 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.105 -0.317 -0.545 -0.74 -0.333 0.581 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.182 -0.353 -0.598 -0.656 -0.426 0.434 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.262 -0.374 -0.609 -0.634 -0.429 0.438 0.923 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01988 HG01988 0.621 0.779 1.205 1.501 1.451 1.003 0.419 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.811 0.982 1.264 1.629 1.705 1.099 0.39 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.375 1.409 1.478 1.564 1.99 1.366 0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.609 1.553 1.508 1.54 1.874 1.492 0.339 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01989 HG01989 -1.389 -1.674 -1.842 -1.908 -1.722 -1.224 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.44 -1.499 -1.581 -1.577 -1.681 -1.235 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.111 -1.166 -1.181 -1.112 -1.464 -1.16 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.869 -0.955 -0.999 -1.016 -1.311 -1.072 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01990 HG01990 -0.318 0.059 0.388 0.603 0.901 0.895 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.206 0.542 0.774 0.935 1.165 1.126 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.52 0.646 0.775 1.13 1.278 1.472 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.532 0.629 0.79 1.072 1.32 1.541 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02009 HG02009 0.453 0.409 0.277 0.218 0.408 0.488 0.637 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.219 0.132 0.103 0.088 0.336 0.527 0.649 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.582 -0.613 -0.587 -0.572 -0.011 0.652 0.663 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.18 -1.203 -1.183 -1.026 -0.472 0.727 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02010 HG02010 0.424 0.535 0.566 0.722 0.945 1.19 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.281 0.414 0.527 0.642 0.931 1.112 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.273 0.339 0.429 0.645 0.835 0.987 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.627 0.612 0.527 0.521 0.729 0.959 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02012 HG02012 1.32 1.22 1.066 0.808 0.587 0.327 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.43 1.349 1.233 0.962 0.801 0.234 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.419 1.409 1.373 1.266 1.318 0.486 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.564 1.546 1.559 1.451 1.521 0.672 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02013 HG02013 -0.049 -0.242 -0.459 -0.654 -0.75 -0.545 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.204 -0.303 -0.414 -0.645 -0.646 -0.577 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.012 -0.044 -0.068 -0.14 -0.369 -0.637 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.308 0.282 0.277 0.226 0.063 -0.666 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02014 HG02014 -1.774 -1.765 -1.943 -2.077 -2.318 -2.246 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.667 -1.746 -1.94 -2.146 -2.412 -2.248 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.557 -1.65 -1.766 -1.998 -2.394 -2.271 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.142 -1.218 -1.31 -1.552 -2.205 -2.297 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02051 HG02051 -0.186 -0.04 0.277 0.387 0.361 0.863 0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.28 -0.146 0.153 0.3 0.385 0.942 0.936 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.522 -0.313 -0.01 0.266 0.481 1.084 0.981 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.416 -0.273 -0.003 0.254 0.628 1.1 0.991 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02052 HG02052 1.44 1.373 0.814 0.257 -0.22 -0.226 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.856 0.721 0.348 -0.1 -0.393 -0.274 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.262 -0.361 -0.552 -0.797 -0.884 -0.491 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.817 -0.83 -0.924 -1.075 -1.186 -0.612 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02053 HG02053 -0.193 -0.343 -0.489 -0.512 -0.385 0.192 0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.171 -0.269 -0.422 -0.557 -0.481 0.142 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.212 -0.232 -0.295 -0.363 -0.37 0.262 0.61 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.288 -0.325 -0.311 -0.329 -0.351 0.359 0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02054 HG02054 1.746 1.836 1.741 1.368 1.182 1.527 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.907 1.922 1.808 1.444 1.269 1.712 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.081 2.072 1.881 1.617 1.37 1.992 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.042 2.116 2.07 1.855 1.504 2.064 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02095 HG02095 1.231 1.298 1.32 1.121 0.972 1.159 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.969 0.913 0.918 0.879 0.874 1.146 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.067 0.057 0.049 0.233 0.504 1.036 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.448 -0.421 -0.424 -0.239 0.264 0.959 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02107 HG02107 0.025 -0.218 -0.439 -0.939 -1.13 -1.281 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.351 -0.53 -0.67 -0.996 -1.108 -1.273 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.752 -0.798 -0.892 -1.035 -0.761 -1.071 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.77 -0.769 -0.823 -1.023 -0.708 -0.948 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02108 HG02108 -0.583 -0.717 -0.675 -0.617 -0.456 -0.326 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.545 -0.59 -0.561 -0.465 -0.391 -0.238 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.39 -0.499 -0.607 -0.619 -0.385 -0.202 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.375 -0.424 -0.511 -0.591 -0.514 -0.173 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02111 HG02111 0.88 1.038 1.01 0.734 0.667 0.264 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.597 0.62 0.588 0.495 0.762 0.26 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.258 -0.329 -0.366 -0.236 0.356 0.409 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.83 -0.847 -0.869 -0.783 -0.189 0.398 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02143 HG02143 -0.217 -0.026 -0.221 -0.517 -0.7 -0.557 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.017 0.065 -0.065 -0.542 -0.638 -0.55 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.412 -0.364 -0.421 -0.749 -0.943 -0.695 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.469 -0.503 -0.697 -0.91 -1.014 -0.835 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02144 HG02144 -0.619 -0.617 -0.711 -0.488 -0.251 -0.405 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.422 -0.389 -0.419 -0.428 -0.351 -0.365 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.596 -0.509 -0.37 -0.318 -0.434 -0.286 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.844 -0.75 -0.574 -0.384 -0.359 -0.216 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02255 HG02255 0.522 0.422 0.274 -0.032 -0.118 -0.25 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.54 0.509 0.239 -0.111 -0.13 -0.224 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.363 0.31 0.133 -0.19 -0.306 -0.308 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.327 0.285 0.131 -0.174 -0.353 -0.368 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02256 HG02256 0.82 0.836 0.826 0.882 0.796 0.701 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.795 0.827 0.752 0.757 0.682 0.682 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.102 1.133 1.003 0.885 0.493 0.475 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.407 1.42 1.344 1.218 0.739 0.317 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02281 HG02281 0.383 0.366 0.194 0.115 0.029 -0.022 -0.334 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.483 0.399 0.226 0.118 0.132 0.089 -0.374 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.474 0.489 0.416 0.427 0.429 0.562 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.391 0.352 0.359 0.368 0.532 0.773 -0.443 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02282 HG02282 1.112 1.517 1.846 2.092 1.807 1.518 1.944 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.449 1.732 1.953 2.021 1.796 1.549 1.976 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.99 1.101 1.224 1.433 1.57 1.261 2.02 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.706 0.766 0.813 1.033 1.358 1.145 2.03 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02284 HG02284 0.068 0.111 0.169 0.186 0.843 1.191 0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.222 0.251 0.226 0.241 0.807 1.255 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.241 0.187 0.094 0.196 0.835 1.21 0.61 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.165 0.14 0.108 0.234 0.79 1.245 0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02307 HG02307 0.409 0.381 0.33 0.378 0.182 -0.074 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.733 0.664 0.61 0.645 0.461 -0.035 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.953 0.876 0.821 0.859 0.87 0.103 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.763 0.766 0.777 0.84 0.914 0.199 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02308 HG02308 -0.01 0.199 0.262 0.169 -0.096 -0.499 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.374 0.455 0.502 0.417 0.13 -0.477 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.395 0.482 0.581 0.636 0.556 -0.224 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.136 0.235 0.454 0.616 0.489 -0.114 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02309 HG02309 -0.677 -0.377 0.088 0.718 1.2 1.225 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.769 -0.5 -0.116 0.458 0.877 1.144 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.162 -1.014 -0.712 -0.242 0.215 0.889 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.08 -1.026 -0.862 -0.481 -0.028 0.756 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02314 HG02314 3.012 2.978 2.716 2.407 1.709 1.196 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 3.034 2.961 2.681 2.36 1.848 1.29 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.479 2.429 2.392 2.221 1.79 1.13 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 2 1.958 1.975 2.045 1.719 0.999 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02315 HG02315 0.062 0.186 0.425 0.647 0.797 0.649 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.181 -0.092 0.233 0.538 0.698 0.599 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.339 -0.317 -0.082 0.309 0.645 0.375 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.231 -0.222 -0.161 0.201 0.522 0.32 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02317 HG02317 1.139 1.192 1.174 0.771 -0.067 -0.93 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.427 1.499 1.452 0.945 0.102 -0.92 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.109 1.224 1.251 0.956 0.235 -0.9 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.557 0.619 0.708 0.638 0.168 -0.876 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02318 HG02318 1.319 1.275 1.363 1.565 1.487 1.479 1.534 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.561 1.583 1.522 1.605 1.58 1.426 1.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.403 1.398 1.373 1.326 1.477 1.522 1.557 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.247 1.224 1.086 0.98 1.16 1.592 1.56 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02322 HG02322 2.826 2.562 2.115 1.702 1.394 1.737 1.582 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.71 2.526 2.244 1.935 1.694 1.879 1.573 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.475 2.37 2.222 2.199 2.221 2.146 1.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.233 2.152 2.025 2.051 2.313 2.209 1.558 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02323 HG02323 0.63 0.687 0.643 0.856 0.882 0.816 0.419 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.632 0.639 0.666 0.675 0.569 0.703 0.39 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.327 0.395 0.528 0.522 0.174 0.55 0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.164 0.221 0.304 0.3 -0.01 0.53 0.339 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02330 HG02330 1.915 1.867 1.737 1.486 1.372 0.936 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.79 1.728 1.752 1.609 1.68 1.136 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.735 1.731 1.754 1.856 1.945 1.315 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.57 1.541 1.603 1.733 1.933 1.356 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02332 HG02332 0.2 0.268 0.243 -0.007 -0.25 -0.535 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.002 0.067 0.016 -0.091 -0.155 -0.504 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.147 0.176 0.133 0.068 0.196 -0.222 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.336 0.328 0.336 0.234 0.335 -0.019 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02337 HG02337 0.536 0.574 0.54 0.253 0.245 0.261 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.312 0.406 0.435 0.276 0.12 0.257 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.204 -0.149 -0.104 0.047 -0.024 0.298 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.402 -0.362 -0.291 -0.155 -0.209 0.251 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02339 HG02339 -0.113 -0.085 0.018 0.318 0.767 1.248 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.258 0.29 0.243 0.406 0.72 1.258 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.424 0.364 0.286 0.257 0.467 1.184 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.176 0.2 0.209 0.157 0.326 1.146 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02343 HG02343 0.098 0.374 0.312 -0.133 -0.526 -0.543 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.225 0.274 0.202 -0.175 -0.511 -0.635 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.371 0.279 0.168 0.086 -0.327 -0.741 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.405 0.327 0.295 0.313 -0.107 -0.733 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02427 HG02427 -1.718 -1.602 -1.609 -1.602 -0.94 -0.075 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.238 -2.171 -2.073 -1.822 -1.158 -0.089 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.56 -2.447 -2.374 -2.251 -1.444 -0.238 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.197 -2.183 -2.138 -2.08 -1.476 -0.276 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02445 HG02445 -0.052 0.349 0.866 1.082 1.576 1.81 1.574 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.51 0.741 1.004 1.051 1.526 1.759 1.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.82 0.937 1.01 1.054 1.599 1.916 1.505 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.794 0.835 0.923 1.019 1.497 2.006 1.494 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02449 HG02449 0.624 0.503 0.259 0.174 0.417 0.602 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.673 0.517 0.379 0.451 0.622 0.661 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.325 1.199 1.105 1.187 1.322 0.797 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.805 1.717 1.612 1.7 1.794 0.87 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02450 HG02450 -0.995 -1 -0.759 -0.377 -0.307 -0.104 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.885 -0.857 -0.623 -0.343 -0.452 -0.135 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.642 -0.563 -0.378 -0.243 -0.572 -0.239 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.554 -0.474 -0.386 -0.201 -0.467 -0.213 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02451 HG02451 -0.673 -0.89 -0.855 -0.417 -0.154 0.013 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.438 -0.645 -0.595 -0.305 -0.204 -0.035 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.327 0.263 0.315 0.287 -0.023 -0.033 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.785 0.77 0.7 0.659 0.268 0.034 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02455 HG02455 -0.216 -0.242 -0.292 -0.208 0.161 0.733 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.64 -0.605 -0.554 -0.436 -0.004 0.893 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.396 -1.303 -1.195 -0.823 -0.31 0.891 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.879 -1.818 -1.651 -1.138 -0.496 0.897 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02462 HG02462 1.462 1.523 1.589 1.551 1.673 2.058 1.791 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.456 1.629 1.634 1.518 1.652 2.041 1.804 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.991 1.092 1.228 1.26 1.385 2.055 1.818 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.652 0.704 0.814 0.967 1.153 2.026 1.821 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02464 HG02464 0.933 1.017 0.856 0.986 1.216 0.677 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.211 1.17 0.992 1.129 1.229 0.639 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.49 1.346 1.187 1.156 1.131 0.546 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.312 1.179 1.103 1.066 1.039 0.474 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02465 HG02465 1.098 1.046 0.843 0.735 0.801 0.782 0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.14 0.924 0.805 0.69 0.74 0.641 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.583 1.46 1.337 1.224 1.011 0.52 0.61 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.792 1.67 1.556 1.399 1.187 0.549 0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02476 HG02476 0.694 0.849 0.792 0.69 0.53 -0.065 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.476 0.504 0.483 0.477 0.353 -0.063 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.128 -0.107 -0.093 -0.141 -0.09 -0.319 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.353 -0.369 -0.465 -0.402 -0.413 -0.464 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02481 HG02481 1.872 1.712 1.665 1.401 1.115 1.266 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.854 1.738 1.644 1.519 1.377 1.28 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.415 1.349 1.238 1.167 1.378 1.445 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.144 1.074 1.01 0.907 1.142 1.455 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02484 HG02484 0.727 0.868 1.121 0.995 0.704 0.967 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.819 0.818 0.886 0.761 0.627 0.914 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.465 0.464 0.382 0.275 0.304 0.775 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.224 0.187 0.02 -0.076 0.072 0.683 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02485 HG02485 1.22 1.369 1.51 1.872 2.376 3.076 2.728 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.471 1.545 1.521 1.766 2.343 3.142 2.699 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.317 1.264 1.165 1.325 2.085 3.143 2.66 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.742 0.731 0.771 0.937 1.841 3.159 2.65 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02501 HG02501 0.534 0.914 1.3 1.73 1.732 1.563 1.944 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.46 0.799 1.127 1.468 1.53 1.589 1.976 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.079 0.048 0.253 0.583 1.082 1.229 2.02 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.173 -0.111 -0.025 0.277 0.859 1.1 2.03 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02536 HG02536 0.444 0.287 0.119 0.381 0.778 1.078 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.698 0.533 0.327 0.309 0.48 1.037 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.425 0.248 0.128 0.084 0.138 0.668 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.067 -0.051 -0.124 -0.116 0.018 0.517 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02545 HG02545 0.858 0.611 0.237 0.05 0.186 0.398 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.549 0.364 0.158 -0.042 0.137 0.391 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.002 -0.041 -0.142 -0.265 -0.07 0.488 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.132 -0.148 -0.182 -0.343 -0.25 0.515 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02546 HG02546 0.081 0.068 -0.145 -0.307 -0.497 -0.754 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.095 -0.102 -0.163 -0.37 -0.52 -0.75 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.555 -0.592 -0.634 -0.622 -0.705 -0.876 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.706 -0.757 -0.805 -0.682 -0.761 -0.932 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02549 HG02549 -1.42 -1.521 -1.743 -2.109 -2.158 -1.651 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.398 -1.46 -1.673 -1.92 -2.044 -1.663 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.783 -0.854 -0.983 -1.105 -1.701 -1.675 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.251 -0.283 -0.325 -0.59 -1.363 -1.716 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02554 HG02554 0.912 0.674 0.532 0.246 -0.1 -0.632 -1.096 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.496 0.296 0.222 -0.011 -0.266 -0.691 -1.11 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.262 0.219 0.214 -0.009 -0.349 -0.742 -1.126 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.349 0.298 0.251 0.081 -0.273 -0.745 -1.13 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02555 HG02555 -0.305 -0.227 -0.042 -0.309 -0.688 -0.365 0.21 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.871 -0.63 -0.458 -0.468 -0.682 -0.365 0.218 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.092 -0.909 -0.673 -0.449 -0.674 -0.433 0.23 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.101 -0.951 -0.676 -0.311 -0.465 -0.511 0.234 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02557 HG02557 1.916 1.783 1.513 0.754 -0.306 -0.96 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.617 1.593 1.348 0.745 -0.103 -0.907 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.421 1.389 1.281 0.93 0.276 -0.719 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.424 1.45 1.419 1.114 0.456 -0.626 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02558 HG02558 1.094 1.243 1.288 1.082 0.637 0.423 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.183 1.19 1.166 1.063 0.712 0.435 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.993 0.992 0.893 0.831 0.562 0.586 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.814 0.886 0.86 0.793 0.456 0.625 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02561 HG02561 0.354 0.247 0.142 0.126 0.336 0.239 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.622 0.537 0.34 0.242 0.197 0.216 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.86 0.797 0.691 0.558 0.147 0.058 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.956 0.941 0.887 0.686 0.279 0.032 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02562 HG02562 1.025 0.848 0.326 0.003 0.086 0.331 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.799 0.626 0.26 -0.073 0.085 0.278 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.412 0.243 0.046 -0.159 -0.344 0.22 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.284 0.21 0.111 -0.048 -0.331 0.119 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02568 HG02568 0.109 0.524 0.687 0.751 0.605 -0.157 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.303 0.569 0.743 0.857 0.757 -0.156 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.935 1.018 1.097 1.214 1.101 -0.155 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.143 1.189 1.258 1.391 1.273 -0.124 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02570 HG02570 0.441 0.644 0.815 0.894 0.565 -0.075 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.535 0.666 0.862 0.983 0.664 -0.122 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.714 0.819 0.971 1.029 0.913 -0.067 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.753 0.813 0.902 1.005 0.935 -0.013 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02571 HG02571 -0.74 -0.619 -0.458 -0.564 -0.818 -0.865 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.332 -0.298 -0.116 -0.373 -0.576 -0.859 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.255 0.4 0.514 0.332 -0.082 -0.678 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.506 0.613 0.766 0.727 0.376 -0.613 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02573 HG02573 0.444 0.411 0.391 0.107 -0.085 -0.022 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.033 0.031 0.07 -0.039 -0.135 0.032 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.534 -0.573 -0.55 -0.537 -0.317 -0.163 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.55 -0.624 -0.579 -0.579 -0.394 -0.251 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02574 HG02574 -0.497 -0.342 -0.042 0.079 0.227 -0.224 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.408 -0.197 -0.086 0.002 0.2 -0.197 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.283 -0.097 0.127 0.11 0.402 -0.095 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.131 0.003 0.098 0.084 0.463 -0.007 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02577 HG02577 1.123 1.141 1.052 0.745 0.325 0.505 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.924 0.757 0.784 0.602 0.477 0.447 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.813 0.733 0.636 0.523 0.503 0.644 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.002 0.906 0.758 0.503 0.477 0.727 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02580 HG02580 -0.498 -0.646 -0.747 -0.494 -0.451 -0.49 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.284 -0.386 -0.413 -0.301 -0.386 -0.483 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.083 0.08 0.087 0.102 -0.252 -0.294 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.421 0.459 0.468 0.307 -0.119 -0.257 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02582 HG02582 1.51 1.459 1.358 1.434 1.363 1.152 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.579 1.438 1.37 1.403 1.243 1.104 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.703 1.561 1.341 1.127 0.948 1.071 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.797 1.741 1.568 1.257 0.804 1.029 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02585 HG02585 0.637 0.816 1.017 1.194 1.043 0.326 -0.23 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.066 1.103 1.159 1.231 1.168 0.319 -0.23 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.596 1.617 1.553 1.43 1.284 0.474 -0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.928 1.957 1.859 1.668 1.503 0.551 -0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02586 HG02586 1.677 1.487 1.417 1.337 1.18 1.499 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.417 1.287 1.359 1.254 1.043 1.423 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.816 0.82 0.896 0.979 0.8 1.133 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.503 0.532 0.609 0.776 0.753 0.989 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02588 HG02588 0.387 0.187 -0.246 -0.658 -0.999 -0.953 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.341 0.055 -0.374 -0.753 -0.952 -0.909 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.399 0.227 -0.066 -0.275 -0.439 -0.892 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.391 0.291 0.133 0.043 -0.068 -0.782 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02589 HG02589 -0.488 -0.286 -0.062 -0.066 -0.3 -0.499 -0.622 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.219 0.372 0.444 0.399 -0.049 -0.385 -0.592 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.519 1.487 1.395 1.212 0.465 -0.084 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.823 1.803 1.74 1.576 0.775 0.001 -0.542 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02594 HG02594 -0.048 0.158 0.212 0.326 0.446 0.069 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.026 0.148 0.246 0.34 0.429 -0.02 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.031 0.134 0.248 0.364 0.525 -0.069 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.097 0.035 0.14 0.212 0.492 -0.014 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02595 HG02595 2.347 2.375 2.14 1.611 0.754 0.08 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.361 2.28 2.129 1.692 0.944 0.075 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.943 1.861 1.64 1.408 0.958 0.22 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.574 1.574 1.398 1.25 0.868 0.219 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02610 HG02610 -0.136 -0.129 -0.023 0.015 -0.387 -1.044 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.376 -0.301 -0.129 -0.024 -0.315 -1.012 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.129 -0.047 0.178 0.365 -0.119 -0.862 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.142 0.186 0.314 0.423 0.031 -0.815 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02611 HG02611 0.062 0.057 -0.18 -0.213 0.26 0.337 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.372 -0.465 -0.667 -0.736 -0.123 0.323 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.352 -1.345 -1.456 -1.437 -1.036 -0.022 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.827 -1.749 -1.676 -1.53 -1.209 -0.148 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02613 HG02613 -0.782 -0.453 -0.024 0.623 0.964 0.967 0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.745 -0.545 -0.061 0.55 0.864 0.989 0.936 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.823 -0.697 -0.462 -0.124 0.317 0.823 0.981 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.848 -0.75 -0.594 -0.341 0.14 0.679 0.991 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02614 HG02614 0.645 0.532 0.052 -0.431 -1.163 -1.545 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.582 0.472 0.051 -0.269 -0.798 -1.479 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.34 1.27 1.09 0.808 -0.085 -1.221 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.867 1.836 1.828 1.591 0.557 -1.135 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02620 HG02620 1.235 1.495 1.704 1.757 1.189 -0.029 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.399 1.599 1.687 1.706 1.329 -0.035 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.697 1.76 1.784 1.682 1.323 0.016 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.706 1.717 1.684 1.585 1.243 -0.016 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02621 HG02621 -1.271 -1.479 -1.182 -0.763 -0.449 -0.627 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.841 -0.944 -0.775 -0.513 -0.461 -0.589 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.159 -0.239 -0.28 -0.288 -0.326 -0.711 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.22 -0.228 -0.213 -0.19 -0.266 -0.701 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02623 HG02623 1.018 1.19 1.079 0.905 0.404 -0.478 -0.944 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.117 1.203 1.124 1.011 0.624 -0.361 -0.937 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.224 1.34 1.446 1.323 0.755 -0.251 -0.925 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.197 1.28 1.457 1.412 0.898 -0.296 -0.921 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02629 HG02629 0.21 0.364 0.31 0.2 -0.304 -0.64 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.158 0.115 0.119 0.116 -0.218 -0.745 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.409 0.337 0.191 0.199 -0.045 -0.731 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.354 0.322 0.236 0.122 -0.037 -0.708 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02634 HG02634 -1.012 -1.104 -1.263 -1.592 -1.802 -2.184 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.417 -1.39 -1.494 -1.818 -1.839 -2.139 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.441 -1.434 -1.435 -1.804 -1.9 -2.114 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.84 -0.957 -1.07 -1.401 -1.763 -2.107 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02635 HG02635 0.596 0.568 0.443 0.584 0.605 0.376 0.245 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.57 0.55 0.534 0.594 0.71 0.402 0.288 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.393 0.501 0.636 0.683 0.606 0.533 0.343 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.388 0.443 0.535 0.595 0.48 0.487 0.356 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02642 HG02642 0.051 -0.194 -0.18 0.042 0.208 0.702 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.412 0.247 0.132 0.092 0.054 0.641 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.151 0.135 0.109 0.069 0.017 0.468 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.229 -0.271 -0.29 -0.269 -0.133 0.471 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02678 HG02678 0.78 0.956 0.982 0.65 0.285 0.182 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.313 0.495 0.6 0.394 0.222 0.178 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.112 -0.049 0.082 0.261 0.003 0.123 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.061 -0.063 -0.044 0.032 -0.06 0.082 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02679 HG02679 -0.602 -0.402 -0.186 -0.019 0.019 -0.194 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.43 -0.191 0.038 0.129 0.107 -0.202 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.194 -0.128 -0.03 0.125 -0.035 -0.312 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.142 -0.146 -0.063 0.034 -0.06 -0.384 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02702 HG02702 -0.567 -0.365 0.017 0.327 0.54 0.419 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.171 0.236 0.406 0.733 0.82 0.445 0.131 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.264 1.21 1.182 1.21 1.241 0.725 0.088 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.702 1.626 1.518 1.418 1.392 0.884 0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02703 HG02703 0.636 0.566 0.385 -0.259 -0.953 -0.981 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.418 0.362 0.144 -0.343 -0.954 -1.006 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.264 0.208 0.076 -0.262 -0.875 -1.055 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.127 0.128 0.108 -0.121 -0.745 -1.07 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02715 HG02715 1.608 1.501 1.294 1.118 0.711 0.191 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.638 1.503 1.389 1.266 0.713 0.072 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.515 1.414 1.362 1.184 0.762 -0.04 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.289 1.203 1.144 1.062 0.713 0.002 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02716 HG02716 0.051 -0.025 -0.351 -0.734 -0.834 -0.491 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.29 -0.364 -0.481 -0.706 -0.686 -0.432 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.753 -0.831 -0.849 -0.781 -0.465 -0.263 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.779 -0.846 -0.836 -0.819 -0.471 -0.127 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02721 HG02721 1.536 1.308 1.046 0.677 0.239 0.294 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.719 1.493 1.041 0.708 0.297 0.265 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.946 1.838 1.56 1.043 0.667 0.301 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.73 1.714 1.567 1.199 0.884 0.35 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02722 HG02722 0.004 0.161 0.429 0.603 0.417 -0.146 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.219 0.366 0.563 0.82 0.582 -0.158 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.344 0.456 0.562 0.663 0.567 -0.193 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.43 0.546 0.652 0.703 0.564 -0.238 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02756 HG02756 -0.487 -0.287 0.042 0.279 0.256 -0.498 -1.314 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.039 0.195 0.402 0.551 0.464 -0.293 -1.368 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.036 1.151 1.26 1.179 1.015 0.017 -1.44 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.119 1.239 1.426 1.476 1.272 0.173 -1.457 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02757 HG02757 -0.628 -0.478 -0.379 -0.263 -0.106 0.313 0.419 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.919 -0.776 -0.559 -0.275 -0.342 0.206 0.39 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.159 -1.028 -0.828 -0.552 -0.534 0.181 0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.07 -1.032 -0.877 -0.657 -0.676 0.218 0.339 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02759 HG02759 0.072 0.084 0.168 -0.053 -0.564 -0.549 -0.622 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.359 0.393 0.387 0.202 -0.315 -0.448 -0.592 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.643 0.564 0.496 0.393 0.061 -0.248 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.556 0.515 0.423 0.293 0.043 -0.184 -0.542 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02760 HG02760 0.127 0.169 0.48 0.567 0.361 0.043 -0.23 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.45 0.541 0.727 0.814 0.462 0.081 -0.23 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.714 0.758 0.931 1.127 0.955 0.204 -0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.544 0.636 0.818 1.022 1.043 0.295 -0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02762 HG02762 -1.654 -1.502 -1.205 -0.852 -0.301 0.276 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.073 -1.899 -1.517 -1.052 -0.555 0.248 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.839 -1.707 -1.464 -1.203 -0.98 0.14 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.494 -1.398 -1.224 -0.974 -0.98 0.095 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02763 HG02763 0.877 0.692 0.597 0.201 -0.401 -1.294 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.801 0.636 0.53 0.254 -0.224 -1.316 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.078 0.92 0.768 0.475 0.084 -1.13 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.208 1.109 0.923 0.638 0.208 -1.009 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02768 HG02768 0.076 -0.064 -0.251 -0.062 -0.231 -0.85 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.231 0.014 -0.106 0.019 -0.271 -0.876 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.396 0.407 0.356 0.263 -0.268 -0.969 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.394 0.46 0.519 0.495 -0.041 -1.028 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02769 HG02769 2.081 1.994 1.774 1.35 0.442 -0.422 -0.622 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.751 1.592 1.492 1.189 0.619 -0.362 -0.592 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.993 0.858 0.769 0.675 0.371 -0.287 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.475 0.39 0.327 0.313 0.191 -0.336 -0.542 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02771 HG02771 -0.673 -0.884 -0.768 -0.599 -0.365 -0.446 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.803 -0.786 -0.632 -0.553 -0.467 -0.407 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.769 -0.83 -0.769 -0.703 -0.567 -0.496 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.796 -0.826 -0.903 -0.882 -0.685 -0.517 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02772 HG02772 -0.612 -0.751 -0.746 -0.963 -1.085 -1.133 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.501 -0.578 -0.672 -0.857 -1.118 -1.14 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.25 -0.296 -0.378 -0.516 -1.117 -1.113 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.24 -0.193 -0.125 -0.213 -0.897 -1.087 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02798 HG02798 1.092 1.182 1.404 1.543 1.903 2.316 2.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.223 1.241 1.214 1.207 1.683 2.232 2.338 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.856 0.898 0.903 0.719 1.258 1.998 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.51 0.597 0.585 0.445 0.919 1.848 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02799 HG02799 0.127 0.091 -0.124 -0.42 -0.855 -0.983 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.152 0.11 -0.12 -0.398 -0.634 -1.043 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.114 0.087 -0.132 -0.272 -0.436 -0.866 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.069 0.072 -0.014 -0.222 -0.413 -0.796 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02804 HG02804 -0.013 0.059 0.016 0.155 0.4 0.371 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.087 0.195 0.141 0.19 0.346 0.441 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.197 0.363 0.464 0.51 0.5 0.746 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.341 0.496 0.665 0.742 0.683 0.861 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02805 HG02805 -0.535 -0.292 0.164 0.205 0.308 0.27 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.497 -0.397 -0.186 -0.051 0.096 0.197 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.158 -0.226 -0.345 -0.446 -0.253 0.2 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.239 -0.308 -0.406 -0.536 -0.53 0.205 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02807 HG02807 0.098 0.352 0.499 0.851 1.63 1.924 1.861 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.002 0.221 0.524 0.952 1.502 1.944 1.82 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.534 -0.341 -0.054 0.509 1.342 2.105 1.765 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.556 -0.408 -0.185 0.282 1.098 2.209 1.751 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02808 HG02808 0.161 0.499 0.821 1.085 0.876 1.298 1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.322 0.537 0.81 1.184 1.117 1.457 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.312 0.399 0.581 0.861 1.132 1.679 1.445 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.014 0.115 0.213 0.49 0.833 1.672 1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02810 HG02810 0.278 0.152 0.309 0.36 -0.215 -0.924 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.819 0.764 0.754 0.593 0.06 -0.842 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.908 1.831 1.693 1.301 0.516 -0.6 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.334 2.272 2.116 1.691 0.927 -0.533 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02811 HG02811 0.4 0.124 -0.145 -0.505 -0.88 -0.806 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.166 0.029 -0.272 -0.611 -0.862 -0.755 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.304 -0.383 -0.554 -0.902 -1.174 -0.782 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.522 -0.565 -0.619 -0.859 -1.199 -0.852 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02813 HG02813 -0.087 -0.291 -0.79 -0.866 -0.849 -0.216 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.433 -0.554 -0.826 -0.906 -0.83 -0.183 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.094 -1.132 -1.168 -1.251 -1.281 -0.397 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.323 -1.363 -1.48 -1.634 -1.526 -0.567 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02814 HG02814 0.753 0.737 0.909 1.329 1.449 1.396 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.986 0.971 1.092 1.332 1.322 1.439 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.961 1.033 1.102 1.181 1.115 1.324 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.635 0.706 0.798 0.906 1.025 1.244 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02816 HG02816 0.512 0.52 0.647 0.869 0.542 -0.261 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.574 0.659 0.736 1.029 0.76 -0.294 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.524 0.688 0.916 1.141 0.955 -0.099 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.233 0.402 0.656 0.938 0.838 -0.016 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02817 HG02817 0.169 0.159 0.159 0.24 0.371 0.194 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.688 0.62 0.562 0.467 0.33 0.371 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.656 0.587 0.456 0.262 0.128 0.315 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.177 0.14 -0.001 -0.05 -0.008 0.265 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02818 HG02818 0.59 0.562 0.436 0.514 0.396 -0.464 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.966 0.881 0.778 0.813 0.542 -0.338 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.828 0.873 0.916 0.832 0.535 -0.181 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.36 0.412 0.496 0.513 0.306 -0.138 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02819 HG02819 0.406 0.363 0.342 0.264 0.108 0.591 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.286 0.265 0.221 0.133 0.109 0.614 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.419 0.348 0.336 0.11 0.092 0.543 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.282 0.294 0.302 0.192 0.002 0.575 0.923 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02820 HG02820 0.419 0.526 0.496 0.658 1.044 1.257 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.387 0.284 0.352 0.558 0.907 1.179 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.082 0.031 -0.027 0.013 0.398 1.194 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.354 -0.335 -0.295 -0.244 -0.012 1.163 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02836 HG02836 -0.491 -0.434 -0.125 0.286 0.643 0.842 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.178 0.2 0.217 0.32 0.506 0.819 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.701 0.677 0.599 0.537 0.362 0.643 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.767 0.769 0.743 0.683 0.383 0.572 0.923 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02837 HG02837 -2.184 -1.969 -1.662 -1.124 -0.472 -0.016 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.648 -1.522 -1.431 -1.047 -0.522 0.028 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.075 -0.968 -0.93 -0.934 -0.748 -0.057 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.765 -0.715 -0.69 -0.732 -0.781 -0.126 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02839 HG02839 -0.178 -0.118 -0.365 -0.267 -0.433 -0.872 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.217 -0.226 -0.284 -0.23 -0.327 -0.916 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.013 -0.021 -0.042 -0.103 -0.397 -0.815 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.309 0.307 0.143 -0.079 -0.38 -0.811 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02840 HG02840 0.804 0.895 0.987 1.162 1.337 1.173 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.167 1.149 1.104 1.192 1.187 1.323 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.172 1.187 1.247 1.215 1.131 1.304 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.43 1.379 1.302 1.239 1.14 1.265 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02851 HG02851 0.516 0.657 0.743 0.899 0.465 -0.036 0.21 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.348 0.481 0.591 0.901 0.718 -0.049 0.218 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.686 0.807 0.918 1.003 0.883 0.044 0.23 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.896 0.958 1.047 1.118 1.027 0 0.234 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02852 HG02852 1.011 1.067 1.058 0.993 0.584 0.222 -0.334 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.263 1.168 1.106 0.943 0.535 0.147 -0.374 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.099 1.021 0.997 0.905 0.448 0.129 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.904 0.859 0.834 0.864 0.452 0.173 -0.443 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02854 HG02854 1.307 1.445 1.629 1.664 1.427 1.087 1.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.938 1.106 1.303 1.501 1.439 1.115 1.097 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.431 0.576 0.755 0.933 1.18 1.074 1.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.226 0.375 0.486 0.75 1.018 0.982 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02855 HG02855 -0.4 -0.356 -0.194 -0.339 -0.557 -0.592 -1.201 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.626 -0.555 -0.356 -0.35 -0.492 -0.707 -1.254 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.245 -0.22 -0.094 -0.056 -0.136 -0.469 -1.324 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.161 0.18 0.212 0.244 0.05 -0.276 -1.341 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02860 HG02860 -2.348 -2.453 -2.637 -2.71 -2.406 -1.358 -1.201 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.051 -2.208 -2.482 -2.523 -2.356 -1.442 -1.254 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.292 -1.458 -1.623 -1.729 -1.837 -1.291 -1.324 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.703 -0.864 -1.029 -1.208 -1.416 -1.154 -1.341 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02870 HG02870 -1.113 -1.189 -1.13 -0.971 -0.978 -0.879 -0.704 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.076 -1.134 -1.031 -0.938 -1.041 -1.009 -0.748 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.778 -0.81 -0.763 -0.799 -1.019 -1.091 -0.806 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.342 -0.368 -0.421 -0.486 -0.867 -1.008 -0.821 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02878 HG02878 0.73 0.698 0.547 0.455 0.225 0.079 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.876 0.82 0.606 0.349 0.232 0.038 0.131 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.187 0.226 0.214 0.225 0.322 0.264 0.088 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.297 -0.237 -0.187 -0.081 0.292 0.4 0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02879 HG02879 -1.12 -0.729 -0.26 0.261 0.759 1.162 1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.611 -0.38 -0.104 0.245 0.668 1.077 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.089 0.129 0.123 0.125 0.438 0.957 1.445 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.658 0.604 0.441 0.27 0.362 0.889 1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02881 HG02881 -0.566 -0.323 0.314 0.848 1.378 2.363 2.728 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.907 -0.707 -0.332 0.218 1.097 2.337 2.699 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.19 -1.144 -1.117 -0.995 0.498 2.348 2.66 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.247 -1.196 -1.188 -1.125 -0.031 2.365 2.65 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02882 HG02882 -2.267 -2.056 -1.907 -1.581 -1.452 -1.307 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.217 -2.001 -1.765 -1.409 -1.361 -1.306 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.713 -1.544 -1.305 -1.132 -0.974 -1.22 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.386 -1.277 -1.078 -0.883 -0.758 -1.124 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02884 HG02884 0.859 0.624 0.489 0.314 0.422 0.658 0.637 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.595 0.459 0.424 0.413 0.475 0.753 0.649 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.939 0.815 0.775 0.67 0.421 1.026 0.663 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.572 1.402 1.203 0.956 0.46 1.084 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02885 HG02885 0.394 0.161 -0.271 -0.53 -0.667 -0.632 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.174 -0.34 -0.462 -0.602 -0.684 -0.674 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.231 -1.158 -1.086 -0.97 -0.769 -0.626 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.743 -1.666 -1.539 -1.367 -0.997 -0.584 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02887 HG02887 1.303 1.051 0.798 0.45 0.123 0.653 1.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.871 0.695 0.495 0.328 0.044 0.699 1.097 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.167 0.003 -0.129 -0.156 -0.109 0.591 1.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.035 -0.166 -0.27 -0.449 -0.412 0.53 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02888 HG02888 -0.138 -0.033 0.009 0.45 0.74 0.295 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.003 0.049 -0.072 0.302 0.522 0.303 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.194 -0.122 -0.081 0.023 0.026 0.065 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.634 -0.508 -0.319 -0.061 -0.139 -0.098 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02890 HG02890 -0.786 -0.667 -0.453 -0.101 0.285 0.322 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.516 -0.434 -0.405 -0.211 0.142 0.315 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.516 -0.483 -0.492 -0.472 -0.312 0.209 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.491 -0.508 -0.511 -0.542 -0.467 0.143 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02891 HG02891 1.38 1.345 1.241 1.044 0.336 0.368 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.474 1.406 1.327 1.029 0.392 0.422 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.487 1.49 1.457 1.276 0.582 0.491 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.413 1.473 1.495 1.44 0.903 0.501 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02895 HG02895 0.454 0.414 0.087 -0.182 -0.28 0.217 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.337 0.246 -0.057 -0.277 -0.438 0.244 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.193 -0.212 -0.309 -0.534 -0.638 0.109 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.303 -0.386 -0.362 -0.516 -0.725 0.057 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02896 HG02896 -1.444 -1.506 -1.784 -2.012 -2.445 -2.561 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.381 -1.507 -1.66 -1.86 -2.243 -2.547 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.111 -1.171 -1.359 -1.617 -1.97 -2.39 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.88 -0.903 -1.024 -1.423 -1.828 -2.338 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02922 HG02922 0.214 0.164 0.082 0.019 -0.078 0.041 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.167 -0.102 0.036 0.046 0.156 0.072 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.16 -0.003 0.137 0.243 0.392 0.406 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.118 0.027 0.238 0.355 0.517 0.529 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02923 HG02923 -0.238 -0.417 -0.588 -0.68 -0.721 -0.698 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.017 -0.151 -0.366 -0.546 -0.743 -0.718 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.455 -0.448 -0.474 -0.475 -0.69 -0.829 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.778 -0.755 -0.646 -0.473 -0.552 -0.852 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02938 HG02938 0.121 0.109 -0.11 -0.159 0.313 1.247 0.82 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.269 0.223 0.113 -0.02 0.236 1.107 0.78 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.514 0.53 0.44 0.28 0.439 1.179 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.522 0.577 0.567 0.483 0.571 1.237 0.713 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02941 HG02941 0.488 0.624 0.666 0.834 0.874 0.925 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.741 0.752 0.681 0.766 0.909 0.917 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.578 0.523 0.431 0.363 0.669 0.99 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.591 0.477 0.281 0.045 0.434 0.927 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02943 HG02943 0.493 0.435 0.383 0.304 0.231 -0.019 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.569 0.659 0.636 0.576 0.393 0.042 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.079 1.18 1.193 1.1 0.759 0.193 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.148 1.308 1.4 1.372 0.953 0.185 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02944 HG02944 -0.139 -0.071 0.197 0.203 0.262 0.131 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.255 -0.214 -0.108 0.031 0.309 0.183 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.374 -0.351 -0.425 -0.35 0.158 0.084 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.441 -0.408 -0.431 -0.326 0.091 0 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02946 HG02946 0.08 0.088 -0.151 -0.701 -1.128 -1.235 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.438 -0.471 -0.591 -0.817 -1.021 -1.175 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.079 -1.078 -1.072 -1.089 -0.972 -1.14 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.114 -1.155 -1.209 -1.188 -1.14 -1.113 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02947 HG02947 0.529 0.485 0.56 0.549 0.366 -0.606 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.954 0.862 0.734 0.681 0.514 -0.555 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.472 1.422 1.23 0.997 0.651 -0.549 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.816 1.693 1.542 1.322 0.821 -0.583 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02952 HG02952 -0.638 -0.533 -0.173 0.388 0.358 0.277 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.072 0 0.308 0.594 0.433 0.235 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.633 0.756 0.965 0.888 0.668 0.154 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.798 0.864 1.1 1.063 0.831 0.131 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02953 HG02953 -0.889 -1.101 -1.22 -1.229 -0.916 -0.16 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.077 -1.167 -1.226 -1.197 -0.916 -0.197 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.04 -1.067 -1.102 -1.165 -0.942 -0.431 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.335 -1.251 -1.168 -1.155 -0.998 -0.505 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02964 HG02964 -0.203 -0.402 -0.871 -1.258 -1.362 -0.895 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.602 -0.799 -1.12 -1.437 -1.522 -1.019 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.621 -0.715 -0.947 -1.219 -1.69 -1.266 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.757 -0.803 -0.972 -1.205 -1.732 -1.382 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02965 HG02965 -2.269 -2.426 -2.303 -2.069 -1.972 -2.157 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.417 -2.442 -2.31 -1.978 -1.895 -2.137 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.166 -2.174 -2.12 -1.908 -1.801 -2.215 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.763 -1.823 -1.735 -1.68 -1.689 -2.241 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02968 HG02968 1.61 1.693 1.601 1.633 1.705 1.518 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.538 1.553 1.352 1.216 1.552 1.538 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.906 0.836 0.766 0.721 1.305 1.516 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.491 0.483 0.494 0.535 1.161 1.499 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02970 HG02970 1.211 1.218 1.338 1.44 1.41 1.215 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.572 1.545 1.567 1.55 1.4 1.137 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.805 1.853 1.833 1.816 1.529 1.127 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.575 1.635 1.65 1.711 1.563 1.135 0.923 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02971 HG02971 0.154 0.324 0.639 0.912 0.841 0.539 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.711 0.75 0.908 1.026 0.968 0.492 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.266 1.262 1.278 1.234 0.907 0.405 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.358 1.311 1.308 1.312 0.963 0.373 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02973 HG02973 0.936 1.371 1.915 2.284 2.134 2.237 2.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.013 1.347 1.763 2.134 2.15 2.167 2.338 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.795 0.923 1.056 1.342 1.703 2.063 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.582 0.661 0.642 0.772 1.303 1.958 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02974 HG02974 -0.48 -0.557 -0.425 -0.01 0.202 0.229 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.482 -0.457 -0.364 -0.083 0.051 0.152 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.642 -0.604 -0.478 -0.195 -0.134 -0.128 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.682 -0.66 -0.524 -0.333 -0.159 -0.201 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02976 HG02976 1.014 1.159 1.321 1.534 1.721 1.444 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.302 1.402 1.34 1.303 1.749 1.484 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.058 1.134 1.108 0.962 1.521 1.459 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.677 0.773 0.83 0.82 1.427 1.412 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02977 HG02977 -0.825 -0.644 -0.508 -0.437 -0.398 -0.633 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.986 -0.835 -0.722 -0.537 -0.397 -0.553 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.638 -0.546 -0.448 -0.268 -0.438 -0.441 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.363 -0.364 -0.24 -0.18 -0.206 -0.479 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02979 HG02979 -0.819 -0.8 -0.679 -0.499 -0.265 -0.329 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.888 -0.816 -0.77 -0.573 -0.168 -0.282 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.583 -0.582 -0.552 -0.483 -0.313 -0.212 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.302 -0.288 -0.249 -0.176 -0.145 -0.24 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02981 HG02981 0.609 0.792 0.933 0.841 0.843 0.29 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.579 0.768 0.799 0.646 0.773 0.341 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.568 0.639 0.652 0.52 0.652 0.397 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.678 0.685 0.659 0.556 0.589 0.4 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02982 HG02982 -0.418 -0.371 -0.258 0.07 0.296 0.257 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.033 0.035 0.038 0.207 0.277 0.235 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.472 0.488 0.507 0.528 0.378 0.211 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.552 0.577 0.632 0.673 0.519 0.264 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02983 HG02983 -1.473 -1.413 -1.411 -1.178 -0.867 -0.814 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.416 -1.282 -1.309 -1.071 -0.787 -0.72 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.3 -1.298 -1.333 -1.13 -0.854 -0.698 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.228 -1.288 -1.243 -1.189 -0.829 -0.736 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03024 HG03024 -0.479 -0.547 -0.542 0.029 0.695 1.18 1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.909 -0.927 -0.872 -0.357 0.4 1.099 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.303 -1.264 -1.16 -0.801 -0.088 0.85 1.445 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.245 -1.14 -0.917 -0.696 -0.166 0.778 1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03025 HG03025 -2.01 -1.739 -1.37 -1.09 -1.16 -1.796 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.245 -1.051 -0.968 -0.704 -0.907 -1.707 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.314 -0.139 -0.068 -0.048 -0.444 -1.608 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.007 0.096 0.22 0.246 -0.159 -1.607 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03027 HG03027 -1.198 -1.105 -1.184 -1.016 -0.729 -0.099 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.683 -1.61 -1.56 -1.234 -0.841 -0.121 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.185 -2.174 -2.083 -1.748 -1.147 -0.283 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.136 -2.132 -2.075 -1.919 -1.34 -0.374 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03028 HG03028 -0.403 -0.351 -0.502 -0.908 -1.33 -1.721 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.371 -0.312 -0.454 -0.717 -1.181 -1.737 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.318 -0.336 -0.416 -0.492 -0.796 -1.697 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.035 -0.102 -0.244 -0.4 -0.566 -1.627 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03034 HG03034 1.346 1.665 1.646 1.637 1.253 0.706 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.5 1.706 1.679 1.645 1.421 0.668 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.411 1.453 1.472 1.59 1.516 0.774 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.287 1.344 1.373 1.426 1.432 0.803 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03035 HG03035 1.331 1.258 0.884 0.498 0.065 -0.178 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.13 1.029 0.782 0.371 0.037 -0.187 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.567 0.477 0.333 0.133 -0.112 -0.351 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.145 0.085 -0.075 -0.244 -0.401 -0.429 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03039 HG03039 0.258 0.449 0.793 1.023 1.879 2.255 2.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.648 0.803 1.01 1.105 1.706 2.263 2.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.916 0.929 0.956 0.965 1.353 2.38 2.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.022 1.014 0.965 0.968 1.154 2.388 2.079 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03040 HG03040 0.978 0.957 0.897 0.705 0.669 -0.07 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.656 0.684 0.724 0.71 0.569 0.049 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.331 0.422 0.493 0.514 0.409 0.116 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.103 0.17 0.288 0.406 0.28 0.125 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03045 HG03045 1.809 1.795 1.577 1.295 0.774 1.248 2.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.624 1.529 1.381 1.086 0.812 1.298 2.338 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.78 0.712 0.681 0.493 0.367 1.396 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.21 0.203 0.158 0.112 0.146 1.356 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03046 HG03046 0.32 0.31 0.229 0.428 0.581 0.264 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.689 0.719 0.726 0.808 0.694 0.33 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.859 0.919 0.99 0.858 0.896 0.452 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.44 0.523 0.6 0.731 0.78 0.548 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03048 HG03048 -0.478 -0.265 0.377 1.062 1.436 1.206 1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.221 0.091 0.605 1.237 1.588 1.258 1.2 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.154 0.072 0.452 1.026 1.52 1.454 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.237 -0.091 0.179 0.72 1.323 1.503 1.18 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03049 HG03049 -1.744 -1.586 -1.211 -0.582 0.124 0.876 1.574 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.313 -1.181 -0.94 -0.531 -0.031 0.914 1.545 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.715 -0.66 -0.616 -0.496 -0.095 0.869 1.505 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.533 -0.506 -0.403 -0.405 -0.148 0.875 1.494 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03052 HG03052 -0.283 -0.424 -0.634 -0.893 -1.422 -1.276 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.368 -0.518 -0.66 -0.982 -1.463 -1.324 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.16 -0.262 -0.33 -0.66 -1.278 -1.575 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.028 -0.066 -0.168 -0.404 -1.079 -1.683 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03054 HG03054 0.37 0.339 0.245 0.031 -0.049 -0.223 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.248 0.312 0.198 0.005 0.07 -0.12 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.336 0.378 0.328 0.077 0.07 -0.111 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.23 0.248 0.224 0.142 0.16 -0.155 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03055 HG03055 0.86 0.807 0.597 0.16 -0.146 -0.705 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.781 0.786 0.591 0.206 -0.277 -0.651 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.632 0.572 0.472 0.156 -0.474 -0.808 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.589 0.527 0.383 0.11 -0.588 -0.902 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03057 HG03057 -0.521 -0.497 -0.259 0.121 0.718 1.345 1.574 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.762 -0.685 -0.441 -0.18 0.408 1.175 1.545 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.961 -0.873 -0.713 -0.556 -0.14 0.864 1.505 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.897 -0.862 -0.754 -0.567 -0.343 0.788 1.494 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03058 HG03058 1.016 0.996 0.896 0.669 0.394 -0.384 -0.944 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.194 1.163 1.142 0.791 0.423 -0.354 -0.937 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.355 1.275 1.219 1.036 0.637 -0.435 -0.925 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.432 1.33 1.218 1.056 0.634 -0.422 -0.921 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03060 HG03060 0.804 0.817 0.476 0.015 -0.626 -0.541 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.12 1.055 0.746 0.159 -0.642 -0.672 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.925 0.835 0.706 0.46 -0.322 -0.75 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.52 0.491 0.447 0.317 -0.295 -0.648 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03061 HG03061 0.771 0.696 0.654 0.528 0.271 0.119 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.759 0.736 0.692 0.486 0.323 0.085 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.709 0.753 0.821 0.776 0.592 0.175 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.695 0.767 0.858 0.88 0.812 0.181 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03063 HG03063 -1.191 -1.269 -1.318 -1.433 -1.359 -1.563 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.175 -1.172 -1.262 -1.447 -1.326 -1.574 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.762 -0.798 -0.919 -1.194 -1.104 -1.438 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.495 -0.481 -0.543 -0.879 -0.908 -1.373 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03064 HG03064 1.363 1.118 0.905 0.616 0.156 -0.593 -0.944 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.244 1.067 0.925 0.874 0.539 -0.542 -0.937 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.975 0.923 0.901 0.974 0.83 -0.106 -0.925 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.889 0.937 1.006 0.899 0.904 -0.025 -0.921 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03066 HG03066 0.686 0.684 0.942 1.444 1.614 1.505 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.069 1.131 1.311 1.612 1.627 1.582 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.308 1.461 1.631 1.796 1.725 1.529 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.157 1.269 1.463 1.737 1.775 1.489 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03069 HG03069 1.641 1.515 1.312 1.149 0.834 -0.289 -0.944 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.202 1.197 1.134 1.126 0.966 -0.239 -0.937 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.903 0.871 0.868 0.883 1.042 -0.095 -0.925 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.844 0.846 0.884 0.879 1.025 -0.07 -0.921 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03072 HG03072 -0.111 0.043 -0.135 -0.425 -0.764 -1.228 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.136 -0.112 -0.308 -0.67 -0.998 -1.227 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.202 -0.29 -0.443 -0.858 -1.396 -1.328 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.186 -0.263 -0.471 -0.821 -1.533 -1.39 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03073 HG03073 0.529 0.533 0.307 -0.297 -0.804 -0.632 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.056 0.095 -0.007 -0.431 -0.882 -0.681 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.331 -0.353 -0.38 -0.543 -1.031 -0.788 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.476 -0.466 -0.469 -0.596 -1.032 -0.923 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03074 HG03074 -1.07 -0.992 -1.081 -1.173 -1.382 -1.197 -0.622 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.941 -0.943 -1.03 -1.022 -1.217 -1.188 -0.592 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.616 -0.658 -0.69 -0.724 -1.007 -1.118 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.505 -0.52 -0.532 -0.578 -0.937 -1.069 -0.542 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03077 HG03077 -0.574 -0.526 -0.621 -0.559 -0.796 -0.568 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.372 -0.325 -0.411 -0.34 -0.603 -0.587 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.099 -0.078 -0.15 -0.213 -0.464 -0.515 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.235 0.222 0.116 -0.111 -0.437 -0.506 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03078 HG03078 -0.545 -0.613 -1.03 -1.421 -1.643 -1.898 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.679 -0.661 -1.034 -1.365 -1.612 -1.842 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.898 -0.923 -1.111 -1.45 -1.619 -1.865 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.14 -1.173 -1.276 -1.532 -1.789 -1.894 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03079 HG03079 -0.706 -0.538 -0.056 0.216 0.088 -0.797 -0.944 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.668 -0.367 0.042 0.518 0.584 -0.708 -0.937 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.632 -0.334 0.134 0.759 1.189 -0.339 -0.925 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.28 -0.039 0.336 0.863 1.543 -0.162 -0.921 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03081 HG03081 0.162 0.136 0.062 0.07 0.287 -0.065 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.568 0.541 0.325 0.091 0.034 -0.198 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.38 0.451 0.447 0.29 0.132 -0.547 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.137 0.185 0.259 0.171 0.138 -0.565 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03082 HG03082 -0.43 -0.746 -0.811 -0.98 -1.141 -1.187 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.621 -0.803 -0.837 -0.959 -1.056 -1.221 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.372 -0.448 -0.533 -0.648 -0.721 -1.234 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.101 0.015 -0.091 -0.307 -0.445 -1.183 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03084 HG03084 -0.646 -0.741 -1.014 -1.326 -1.694 -1.772 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.724 -0.856 -1.099 -1.403 -1.586 -1.776 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.678 -0.787 -1.013 -1.145 -1.396 -1.785 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.648 -0.628 -0.69 -0.843 -1.248 -1.76 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03086 HG03086 0.787 0.916 0.879 0.939 0.629 0.575 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.624 0.682 0.662 0.718 0.551 0.633 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.543 0.485 0.481 0.586 0.393 0.423 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.382 0.313 0.335 0.442 0.359 0.329 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03088 HG03088 -0.23 -0.088 0.142 0.302 0.706 0.375 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.066 0.077 0.251 0.443 0.806 0.417 -0.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.219 0.341 0.536 0.593 0.923 0.636 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.33 0.401 0.528 0.665 0.911 0.707 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03091 HG03091 -0.267 -0.073 0.394 0.661 0.88 0.713 0.995 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.214 0.033 0.444 0.671 0.984 0.609 0.941 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.351 -0.147 0.102 0.481 0.976 0.588 0.871 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.271 -0.191 -0.066 0.139 0.93 0.604 0.853 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03095 HG03095 1.373 1.343 1.145 0.994 0.852 0.547 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.654 1.569 1.37 1.184 0.997 0.514 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.17 2.116 2.029 1.785 1.511 0.668 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.301 2.334 2.303 2.113 1.774 0.73 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03096 HG03096 0.258 0.499 0.883 1.15 1.544 1.996 2.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.166 0.443 0.821 1.081 1.366 2.013 2.338 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.135 -0.116 0.051 0.42 1.037 1.973 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.2 -0.282 -0.296 -0.075 0.646 1.982 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03099 HG03099 0.223 0.207 0.051 -0.146 -0.275 0.133 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.087 0.083 -0.037 -0.169 -0.2 0.165 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.712 -0.853 -0.916 -0.735 -0.409 0.127 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.102 -1.197 -1.247 -1.165 -0.718 0.057 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03100 HG03100 -1.002 -1.204 -1.495 -1.444 -1.529 -1.702 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.41 -1.472 -1.628 -1.577 -1.663 -1.673 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.712 -1.761 -1.751 -1.647 -1.794 -1.7 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.791 -1.799 -1.778 -1.785 -1.809 -1.723 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03103 HG03103 -0.845 -0.882 -0.813 -1.001 -0.981 -0.814 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.73 -0.858 -0.849 -1.03 -1.13 -0.859 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.444 -0.57 -0.771 -1.053 -1.155 -0.959 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.364 -0.444 -0.682 -0.88 -1.112 -0.95 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03105 HG03105 1.53 1.46 1.408 0.934 0.343 0.223 0.21 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.177 1.211 1.234 0.866 0.435 0.269 0.218 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.663 0.728 0.768 0.713 0.554 0.397 0.23 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.365 0.477 0.579 0.692 0.589 0.447 0.234 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03108 HG03108 -0.417 -0.531 -0.772 -0.919 -1.14 -1.39 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.065 -1.06 -1.135 -1.046 -1.165 -1.361 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.889 -1.951 -2.03 -1.964 -1.652 -1.327 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.196 -2.242 -2.323 -2.303 -2.114 -1.366 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03109 HG03109 1.34 1.087 0.732 0.333 0.05 0.507 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.146 0.925 0.592 0.258 0.156 0.556 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.679 0.407 0.107 -0.207 0.023 0.543 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.35 0.086 -0.286 -0.681 -0.392 0.492 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03111 HG03111 1.274 1.051 0.919 0.781 0.565 0.281 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.681 1.475 1.268 0.875 0.453 0.183 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.548 1.528 1.408 1.145 0.545 -0.105 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.974 1.016 1.078 1.048 0.589 -0.132 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03112 HG03112 0.201 -0.105 -0.642 -0.929 -1.279 -1.518 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.25 -0.062 -0.528 -0.888 -1.188 -1.498 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.595 0.453 0.131 -0.401 -0.963 -1.338 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.895 0.837 0.672 0.215 -0.535 -1.26 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03114 HG03114 1.734 1.473 1.2 1.114 1.314 1.265 1.399 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.771 1.596 1.317 1.09 1.243 1.275 1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.497 1.365 1.232 1.138 1.049 1.237 1.498 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.245 1.145 1.059 1.004 0.969 1.175 1.512 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03115 HG03115 -0.786 -0.713 -0.658 -0.635 -0.635 -0.631 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.122 -0.1 -0.201 -0.313 -0.345 -0.565 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.42 0.344 0.2 -0.027 -0.071 -0.56 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.694 0.624 0.392 0.107 -0.045 -0.606 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03117 HG03117 -2.498 -2.312 -2.022 -1.693 -1.412 -1.36 -0.944 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.012 -1.872 -1.737 -1.622 -1.447 -1.399 -0.937 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.234 -1.217 -1.292 -1.351 -1.308 -1.483 -0.925 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.65 -0.662 -0.859 -1.065 -1.102 -1.514 -0.921 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03118 HG03118 -0.364 -0.188 -0.239 -0.394 -0.6 -0.308 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.104 -0.079 -0.196 -0.448 -0.53 -0.311 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.127 -0.141 -0.26 -0.408 -0.659 -0.436 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.308 -0.206 -0.2 -0.337 -0.62 -0.553 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03120 HG03120 1.037 0.934 0.711 0.393 -0.049 0.059 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.639 0.612 0.552 0.36 0.028 0.057 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.699 0.767 0.864 0.857 0.306 0.207 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.629 0.707 0.817 0.953 0.494 0.23 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03121 HG03121 0.096 -0.035 -0.34 -0.578 -0.679 -0.437 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.186 -0.007 -0.255 -0.539 -0.612 -0.403 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.376 0.273 0.085 -0.19 -0.551 -0.418 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.53 0.514 0.403 0.154 -0.245 -0.485 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03123 HG03123 1.207 1.007 0.55 -0.144 -0.952 -0.85 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.507 0.378 0.183 -0.179 -0.74 -0.909 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.112 -0.18 -0.171 -0.202 -0.291 -0.843 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.116 -0.182 -0.279 -0.243 -0.172 -0.76 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03124 HG03124 0.367 0.32 0.287 0.161 0.203 0.378 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.649 0.522 0.308 0.099 0.181 0.289 0.131 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.625 0.558 0.359 0.252 0.21 0.286 0.088 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.304 0.292 0.245 0.251 0.249 0.337 0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03126 HG03126 0.882 0.841 0.682 0.649 0.989 1.239 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.14 1.132 1.089 0.999 0.999 1.29 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.05 0.955 0.882 0.792 1.077 1.446 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.804 0.782 0.67 0.619 0.844 1.524 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03127 HG03127 2.268 2.224 1.868 1.304 0.358 0.162 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.476 2.387 1.954 1.408 0.648 0.21 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.069 2.03 1.786 1.402 0.847 0.363 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.672 1.675 1.55 1.305 0.934 0.335 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03129 HG03129 -0.396 -0.374 -0.409 -0.382 -0.454 -0.153 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.109 -0.183 -0.346 -0.354 -0.378 -0.181 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.013 -0.078 -0.183 -0.162 -0.14 0.012 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.053 0.062 -0.011 -0.042 -0.003 0.095 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03130 HG03130 -0.549 -0.593 -0.415 -0.313 -0.243 0.194 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.537 -0.587 -0.393 -0.21 -0.257 0.159 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.157 -0.183 -0.155 -0.096 -0.148 0.203 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.02 -0.025 -0.044 0.011 -0.137 0.261 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03132 HG03132 -1.214 -1.35 -1.605 -1.749 -1.744 -1.897 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.704 -1.848 -1.945 -1.917 -1.771 -1.838 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.649 -1.711 -1.764 -1.882 -1.733 -1.786 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.179 -1.291 -1.459 -1.71 -1.744 -1.773 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03133 HG03133 -1.769 -1.445 -1.084 -0.832 -0.658 -1.06 -1.314 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.158 -0.917 -0.679 -0.532 -0.524 -1.125 -1.368 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.127 0.243 0.353 0.413 0.176 -0.844 -1.44 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.942 0.998 0.957 0.902 0.644 -0.626 -1.457 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03135 HG03135 -0.129 -0.109 0.031 0.225 0.441 0.505 0.419 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.199 -0.185 -0.082 0.212 0.44 0.415 0.39 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.232 -0.242 -0.145 0.083 0.542 0.399 0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.236 -0.183 -0.073 0.047 0.492 0.452 0.339 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03136 HG03136 -2.473 -2.325 -1.963 -1.457 -1.186 -0.925 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.311 -2.107 -1.785 -1.381 -1.136 -1.05 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.145 -1.958 -1.809 -1.485 -0.996 -1.106 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.941 -1.831 -1.827 -1.687 -1.067 -1.072 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03139 HG03139 -0.125 0.053 0.28 0.634 0.621 0.905 1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.373 -0.131 0.05 0.359 0.384 0.824 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.819 -0.728 -0.556 -0.349 -0.195 0.621 1.445 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.587 -0.603 -0.627 -0.595 -0.448 0.527 1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03157 HG03157 0.64 0.882 1.069 1.213 1.15 1.035 1.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.518 0.645 0.824 1.008 1.069 1.073 1.097 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.236 0.297 0.455 0.746 0.976 1.023 1.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.31 0.419 0.535 0.751 0.995 0.991 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03159 HG03159 -0.092 -0.185 -0.471 -0.471 -0.302 -0.096 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.522 -0.629 -0.823 -0.759 -0.483 -0.035 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.889 -0.906 -0.886 -0.759 -0.857 -0.028 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.935 -0.929 -0.84 -0.666 -0.823 -0.064 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03160 HG03160 -0.321 -0.155 -0.218 -0.044 -0.108 -0.197 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.524 -0.377 -0.296 -0.066 -0.069 -0.146 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.634 -0.61 -0.551 -0.245 -0.178 -0.146 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.445 -0.41 -0.417 -0.259 -0.107 -0.185 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03162 HG03162 -1.239 -1.271 -1.366 -1.314 -1.141 -0.427 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.093 -1.04 -1.074 -1.053 -1.091 -0.45 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.976 -0.932 -0.909 -1.032 -0.825 -0.385 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.875 -0.824 -0.826 -0.984 -0.951 -0.322 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03163 HG03163 -1.119 -1.021 -1.03 -0.936 -0.958 -0.744 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.227 -1.209 -1.194 -1.059 -1.013 -0.793 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.868 -0.841 -0.844 -0.83 -1.078 -0.916 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.489 -0.494 -0.514 -0.59 -0.951 -1.012 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03166 HG03166 -1.304 -1.377 -1.35 -1.271 -0.983 -0.848 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.874 -0.943 -1.031 -1.108 -0.963 -0.874 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.632 -0.673 -0.744 -0.808 -0.922 -0.972 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.806 -0.763 -0.734 -0.795 -0.879 -0.978 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03168 HG03168 0.394 0.455 0.661 0.89 1.145 1.64 1.791 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.631 0.742 0.865 1.058 1.279 1.646 1.804 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.997 1.037 1.156 1.227 1.3 1.608 1.818 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.989 0.991 1.043 1.215 1.266 1.578 1.821 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03169 HG03169 0.655 0.764 1.089 1.441 1.372 0.889 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.602 0.765 1.12 1.552 1.523 0.953 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.89 0.993 1.216 1.485 1.359 1.077 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.1 1.178 1.215 1.375 1.214 1.024 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03172 HG03172 -0.756 -0.927 -0.809 -0.661 -0.441 -0.28 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.824 -0.888 -0.851 -0.737 -0.495 -0.204 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.874 -0.953 -1.067 -1.202 -0.836 -0.323 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.709 -0.803 -1.058 -1.337 -1.083 -0.424 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03175 HG03175 0.241 -0.031 -0.513 -0.757 -1.063 -0.876 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.659 -0.78 -0.935 -0.937 -1.005 -0.848 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.121 -1.149 -1.074 -1.008 -1.073 -0.86 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.064 -1.084 -1.037 -0.982 -0.947 -0.932 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03189 HG03189 -0.103 -0.151 -0.141 -0.17 -0.337 -0.704 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.496 -0.414 -0.361 -0.406 -0.389 -0.792 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.1 -0.983 -0.88 -0.931 -0.712 -0.791 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.984 -0.949 -1.002 -1.166 -0.999 -0.786 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03190 HG03190 -1.352 -1.409 -1.104 -0.749 -0.416 -0.793 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.116 -1.164 -1.025 -0.738 -0.537 -0.8 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.695 -0.779 -0.843 -0.837 -0.554 -0.915 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.353 -0.423 -0.595 -0.665 -0.524 -0.91 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03193 HG03193 -0.832 -0.954 -1.121 -1.031 -1.012 -0.893 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.089 -1.12 -1.137 -1.027 -1.051 -0.857 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.215 -1.19 -1.134 -1.027 -1.176 -0.99 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.194 -1.181 -1.212 -1.058 -1.157 -1.081 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03195 HG03195 -0.202 -0.253 -0.27 -0.193 0.015 -0.162 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.449 -0.442 -0.437 -0.319 -0.101 -0.156 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.579 -0.592 -0.624 -0.702 -0.549 -0.228 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.43 -0.506 -0.673 -0.844 -0.804 -0.274 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03196 HG03196 1.893 2.061 2.019 2.006 2.067 1.732 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.629 1.743 1.725 1.76 1.941 1.734 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.367 1.412 1.488 1.734 1.751 1.686 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.08 1.175 1.357 1.583 1.698 1.623 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03198 HG03198 -2.522 -2.897 -3.111 -3.288 -3.127 -2.689 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.678 -2.942 -2.994 -3.145 -3.232 -2.68 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.307 -2.301 -2.303 -2.526 -3.089 -2.739 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.072 -2.008 -1.892 -1.97 -2.736 -2.735 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03199 HG03199 -0.893 -0.638 -0.215 0.277 0.688 1.307 1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.913 -0.626 -0.269 0.286 0.858 1.348 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.676 -0.5 -0.371 0.046 0.913 1.467 1.445 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.392 -0.221 -0.145 0.065 0.854 1.487 1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03202 HG03202 -0.047 0.237 0.506 0.614 0.803 0.828 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.462 0.567 0.76 0.73 0.865 0.852 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.695 0.762 0.875 0.908 1.068 1.147 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.488 0.546 0.724 0.866 0.996 1.244 0.923 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03209 HG03209 0.243 0.24 0.618 1.145 1.577 2.197 2.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.116 0.196 0.591 1.013 1.404 2.175 2.338 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.446 -0.369 -0.1 0.33 0.721 2.012 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.649 -0.582 -0.368 -0.069 0.288 1.87 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03212 HG03212 -0.98 -0.927 -0.752 -0.355 0.054 -0.279 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.736 -0.701 -0.689 -0.364 0.078 -0.313 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.392 -0.378 -0.394 -0.35 -0.019 -0.347 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.178 -0.177 -0.134 -0.14 0.087 -0.339 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03224 HG03224 0.883 0.904 0.895 1.026 1.331 1.738 1.574 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.56 0.603 0.828 0.985 1.162 1.669 1.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.153 0.205 0.366 0.585 1.019 1.667 1.505 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.319 -0.257 -0.182 0.09 0.62 1.71 1.494 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03225 HG03225 -0.668 -0.578 -0.516 -0.328 -0.308 -0.544 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.36 -0.342 -0.309 -0.09 -0.15 -0.576 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.191 0.289 0.295 0.283 0.173 -0.497 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.382 0.481 0.557 0.576 0.433 -0.443 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03240 HG03240 2.121 2.242 2.399 2.036 1.502 0.729 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.356 2.446 2.407 2.21 1.746 0.78 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.362 2.466 2.513 2.306 2.056 1.198 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.297 2.467 2.53 2.363 2.08 1.329 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03241 HG03241 -0.963 -0.862 -0.676 -0.479 -0.107 0.044 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.918 -0.908 -0.863 -0.681 -0.301 0.001 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.907 -1.023 -1.109 -1.107 -0.649 -0.006 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.158 -1.242 -1.219 -1.313 -0.965 0.051 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03242 HG03242 0.623 0.717 0.992 1.178 1.416 1.444 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.93 0.997 1.066 1.26 1.439 1.479 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.185 1.191 1.204 1.15 1.246 1.716 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.911 0.963 1.054 0.968 0.992 1.756 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03246 HG03246 -2.436 -2.702 -2.563 -2.02 -0.993 0.298 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.206 -2.37 -2.364 -1.968 -1.181 0.302 0.131 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.801 -1.82 -1.844 -1.764 -1.232 0.208 0.088 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.496 -1.586 -1.585 -1.527 -1.191 0.251 0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03247 HG03247 -0.992 -0.996 -1.28 -1.532 -1.617 -0.665 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.934 -0.972 -1.216 -1.484 -1.815 -0.736 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.782 -0.82 -0.883 -1.128 -1.768 -0.83 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.718 -0.704 -0.754 -0.819 -1.601 -0.806 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03251 HG03251 1.264 1.235 1.035 1.003 0.724 0.935 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.821 0.764 0.823 0.913 0.643 0.877 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.319 0.293 0.376 0.682 0.572 0.681 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.165 0.144 0.219 0.497 0.496 0.606 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03258 HG03258 0.323 0.579 0.876 0.881 0.74 0.221 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.585 0.808 0.999 1.14 0.986 0.279 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.011 1.075 1.065 1.124 1.031 0.347 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.285 1.266 1.166 1.001 0.849 0.304 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03259 HG03259 0.005 0.033 -0.095 -0.266 -0.167 0.313 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.191 -0.182 -0.186 -0.222 -0.075 0.404 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.106 0.145 0.116 -0.014 0.187 0.632 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.191 0.158 0.093 0.052 0.188 0.707 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03265 HG03265 -1.004 -1.188 -1.105 -1.142 -1.372 -1.172 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.671 -0.699 -0.651 -0.756 -1.222 -1.16 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.244 -0.133 -0.121 -0.231 -0.83 -0.948 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.233 -0.089 0.116 0.091 -0.52 -0.831 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03267 HG03267 0.347 0.106 -0.416 -1.143 -1.462 -0.752 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.558 -0.808 -1.249 -1.572 -1.578 -0.85 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.676 -1.744 -1.902 -2.128 -1.925 -0.957 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.893 -1.907 -1.991 -2.21 -2.075 -1.096 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03268 HG03268 1.005 0.814 0.636 0.451 -0.006 -0.042 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.769 0.57 0.432 0.365 0.132 -0.073 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.861 0.77 0.698 0.611 0.335 0.227 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.743 0.724 0.691 0.619 0.45 0.29 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03270 HG03270 0.509 0.694 0.693 0.625 0.463 -0.027 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.263 0.405 0.461 0.576 0.613 -0.017 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.081 0.022 0.141 0.374 0.502 0.131 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.107 0.201 0.235 0.353 0.414 0.093 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03271 HG03271 -1.281 -1.373 -1.302 -1.096 -0.542 0.079 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.54 -1.517 -1.268 -0.977 -0.52 0.111 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.462 -1.497 -1.326 -1.064 -0.538 0.135 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.453 -1.519 -1.453 -1.19 -0.593 0.158 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03279 HG03279 -0.955 -0.621 -0.053 0.366 0.449 0.4 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.623 -0.282 0.182 0.664 0.685 0.441 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.14 0.423 0.759 1.094 1.166 0.68 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.547 0.754 0.991 1.278 1.486 0.827 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03280 HG03280 0.569 0.48 0.056 -0.169 -0.099 -0.086 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.203 0.112 -0.168 -0.278 -0.15 -0.072 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.074 0.001 -0.005 -0.112 0.201 -0.01 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.013 -0.045 -0.03 -0.062 0.244 0.099 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03291 HG03291 -0.018 -0.195 -0.41 -0.567 -0.768 -0.723 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.051 -0.215 -0.424 -0.597 -0.761 -0.811 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.479 0.448 0.282 0.152 -0.308 -0.744 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.617 0.62 0.631 0.462 0.09 -0.696 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03294 HG03294 1.245 1.188 1.075 1.135 1.005 0.463 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.628 1.531 1.468 1.451 1.18 0.625 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.781 1.757 1.821 1.777 1.337 0.685 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.531 1.547 1.683 1.789 1.437 0.71 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03295 HG03295 -0.893 -1.259 -1.677 -1.977 -2.2 -2.055 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.994 -1.253 -1.576 -1.791 -2.075 -1.973 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.815 -0.896 -1.026 -1.384 -1.759 -2.066 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.881 -0.892 -1.005 -1.22 -1.548 -2.131 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03297 HG03297 0.773 0.679 0.812 0.861 0.906 0.553 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.781 0.874 0.994 1.009 1.005 0.548 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.969 1.126 1.299 1.487 1.26 0.762 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.041 1.19 1.394 1.599 1.506 0.874 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03298 HG03298 -0.996 -1.168 -1.423 -1.558 -1.314 -0.632 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.575 -1.586 -1.725 -1.762 -1.465 -0.66 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.699 -1.722 -1.752 -1.786 -1.472 -0.685 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.43 -1.467 -1.548 -1.682 -1.498 -0.67 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03300 HG03300 -0.136 -0.115 0.047 0.232 0.433 0.521 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.478 -0.453 -0.293 -0.07 0.347 0.587 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.616 -0.675 -0.631 -0.518 -0.007 0.485 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.422 -0.531 -0.657 -0.653 -0.247 0.458 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03301 HG03301 0.114 0.034 -0.039 -0.346 -0.688 -1.326 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.075 -0.014 -0.146 -0.38 -0.662 -1.296 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.226 0.101 -0.079 -0.348 -0.437 -1.326 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.379 0.234 -0.065 -0.331 -0.402 -1.277 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03302 HG03302 1.739 1.554 1.253 0.826 0.17 -0.322 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.48 1.282 0.991 0.612 0.239 -0.245 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.915 0.76 0.591 0.419 0.331 -0.294 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.848 0.681 0.42 0.258 0.237 -0.267 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03305 HG03305 0.949 0.92 0.85 0.909 0.955 0.757 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.165 1.183 1.003 1 0.955 0.796 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.788 0.768 0.808 0.935 1.167 0.8 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.324 0.35 0.486 0.691 1.04 0.851 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03306 HG03306 -1.647 -1.529 -1.359 -1.443 -1.046 -0.469 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.383 -1.413 -1.414 -1.495 -1.308 -0.464 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.087 -1.219 -1.308 -1.383 -1.233 -0.728 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.972 -1.064 -1.178 -1.199 -1.069 -0.727 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03307 HG03307 0.292 0.53 0.789 1.009 0.941 0.316 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.947 1.116 1.295 1.258 1.165 0.387 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.674 1.781 1.82 1.748 1.687 0.538 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.773 1.988 2.093 2.127 2.104 0.596 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03309 HG03309 -3.206 -3.339 -3.379 -3.194 -2.654 -1.628 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -3.049 -3.142 -3.197 -3.129 -2.722 -1.68 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.622 -2.623 -2.659 -2.667 -2.588 -1.809 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.525 -2.538 -2.536 -2.51 -2.479 -1.813 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03311 HG03311 0.802 0.594 0.609 0.329 0.162 -0.108 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.484 0.5 0.569 0.391 0.093 -0.043 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.099 0.022 0.223 0.261 0.196 -0.13 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.335 -0.288 -0.118 0.092 0.123 -0.134 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03312 HG03312 -0.521 -0.603 -0.539 -0.428 -0.221 0.022 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.866 -0.909 -0.683 -0.419 -0.291 -0.047 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.844 -0.888 -0.859 -0.627 -0.377 -0.175 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.629 -0.676 -0.681 -0.618 -0.51 -0.214 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03313 HG03313 0.522 0.764 0.949 0.89 0.555 0.627 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.216 0.372 0.615 0.722 0.514 0.588 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.003 0.078 0.222 0.328 0.318 0.414 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.018 0.08 0.158 0.274 0.261 0.274 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03342 HG03342 -0.226 -0.009 0.38 0.515 0.373 -0.138 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.483 -0.264 0.097 0.379 0.417 -0.095 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.576 -0.497 -0.283 -0.013 0.214 -0.105 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.496 -0.438 -0.284 -0.07 0.142 -0.163 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03343 HG03343 1.725 1.647 1.116 0.421 -0.357 -0.264 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.261 1.125 0.74 0.259 -0.212 -0.26 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.682 0.621 0.52 0.29 0.07 -0.196 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.445 0.427 0.307 0.239 0.089 -0.177 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03351 HG03351 0.271 0.255 0.176 0.025 -0.097 -0.436 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.482 0.465 0.375 0.271 0.122 -0.4 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.585 0.611 0.577 0.454 0.36 -0.026 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.517 0.575 0.623 0.538 0.414 0.113 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03352 HG03352 1.106 1.044 0.49 -0.235 -0.974 -0.501 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.602 0.446 0.126 -0.459 -0.851 -0.488 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.198 0.049 -0.127 -0.43 -0.857 -0.436 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.035 -0.164 -0.366 -0.54 -0.822 -0.486 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03354 HG03354 -0.018 -0.097 -0.119 -0.286 -0.565 -0.582 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.024 -0.094 -0.24 -0.273 -0.567 -0.561 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.686 -0.738 -0.77 -0.613 -0.692 -0.879 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.272 -1.274 -1.208 -0.951 -0.821 -1.029 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03366 HG03366 -0.273 -0.201 -0.062 0.167 -0.026 -0.242 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.328 0.421 0.454 0.502 0.163 -0.219 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.778 0.828 0.865 0.836 0.534 -0.091 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.976 0.99 0.963 0.882 0.785 -0.023 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03373 HG03373 1.522 1.685 2.277 2.735 2.906 2.294 2.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.845 1.97 2.261 2.737 2.966 2.308 2.338 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.869 1.994 2.23 2.559 2.874 2.455 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.847 1.947 2.189 2.46 2.843 2.44 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03380 HG03380 -3.438 -3.449 -3.598 -3.517 -3.21 -2.912 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -3.454 -3.467 -3.503 -3.299 -3.069 -2.898 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.903 -2.885 -2.944 -2.995 -2.692 -2.823 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.354 -2.31 -2.344 -2.517 -2.477 -2.752 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03382 HG03382 -0.86 -0.909 -0.676 -0.349 0.316 1.134 1.317 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.812 -0.796 -0.567 -0.424 0.129 1.08 1.286 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.562 -0.592 -0.498 -0.458 -0.023 0.788 1.244 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.447 -0.473 -0.524 -0.479 -0.161 0.733 1.233 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03388 HG03388 0.923 1.132 1.109 0.937 0.493 0.261 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.772 0.881 0.952 0.94 0.664 0.264 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.049 0.126 0.231 0.426 0.686 0.378 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.371 -0.288 -0.192 0.061 0.441 0.362 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03419 HG03419 0.61 0.597 0.655 0.738 0.94 0.719 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.31 0.421 0.472 0.458 0.713 0.569 0.131 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.385 0.415 0.456 0.529 0.683 0.534 0.088 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.738 0.744 0.724 0.722 0.79 0.603 0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03432 HG03432 0.396 0.473 0.444 0.475 0.384 0.044 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.077 0.256 0.454 0.527 0.431 0.029 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.097 0.211 0.478 0.58 0.353 0.04 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.256 0.372 0.492 0.564 0.343 0.012 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03433 HG03433 0.147 0.252 0.35 0.35 0.141 -0.455 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.437 0.59 0.706 0.561 0.431 -0.51 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.082 1.17 1.259 1.119 0.881 -0.263 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.262 1.349 1.51 1.4 1.142 -0.16 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03436 HG03436 1.614 1.43 1.444 1.642 1.918 1.803 1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.353 1.234 1.256 1.497 1.716 1.781 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.928 0.963 1.015 1.213 1.567 1.739 1.445 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.435 0.52 0.663 0.886 1.391 1.723 1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03446 HG03446 -0.518 -0.499 -0.661 -0.565 -0.206 -0.147 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.62 -0.61 -0.655 -0.679 -0.503 -0.25 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.901 -0.903 -0.885 -0.911 -0.865 -0.379 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.098 -1.13 -1.122 -1.131 -1.146 -0.41 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03449 HG03449 0.86 0.952 0.745 0.474 0.34 1.023 1.944 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.901 0.948 0.762 0.547 0.355 1.05 1.976 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.422 0.328 0.215 0.147 0.117 0.894 2.02 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.083 -0.054 -0.264 -0.349 -0.217 0.743 2.03 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03452 HG03452 0.675 0.748 0.704 0.776 0.801 0.586 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.694 0.761 0.781 0.816 0.739 0.623 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.094 0.121 0.2 0.254 0.529 0.604 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.337 -0.332 -0.34 -0.219 0.13 0.558 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03457 HG03457 0.828 0.67 0.592 0.435 0.41 -0.112 -0.622 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.906 0.776 0.665 0.532 0.338 -0.064 -0.592 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.08 1.09 1.057 0.836 0.531 -0.15 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.921 0.981 1.106 1.048 0.687 -0.176 -0.542 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03470 HG03470 0.32 0.28 0.178 0.103 0.086 0.347 1.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.162 0.155 0.106 0.139 0.211 0.331 1.097 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.068 0.048 0.032 0.061 0.268 0.253 1.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.039 0.012 0.012 0.006 0.26 0.145 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03472 HG03472 2.635 2.401 2.066 1.749 1.63 1.708 1.791 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.05 1.866 1.635 1.366 1.404 1.63 1.804 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.192 1.146 1.072 0.906 0.915 1.443 1.818 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.555 0.531 0.554 0.522 0.547 1.327 1.821 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03473 HG03473 -0.489 -0.121 0.3 0.526 0.673 0.844 1.399 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.346 -0.043 0.134 0.425 0.588 0.88 1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.724 -0.62 -0.46 -0.182 0.25 0.639 1.498 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.714 -0.728 -0.672 -0.597 -0.139 0.507 1.512 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03476 HG03476 1.848 1.844 2.054 1.901 1.406 0.981 0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.066 2.213 2.254 2.058 1.675 0.949 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.228 2.301 2.237 2.154 2.179 1.326 0.61 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.192 2.165 2.103 1.97 2.205 1.513 0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03485 HG03485 -1.817 -1.829 -1.723 -1.363 -0.904 -0.224 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.879 -1.874 -1.712 -1.3 -0.91 -0.267 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.188 -2.166 -2.08 -1.721 -1.155 -0.403 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.274 -2.328 -2.276 -2.046 -1.499 -0.434 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03486 HG03486 -0.807 -0.941 -0.902 -0.859 -0.793 -0.584 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.863 -0.906 -0.888 -0.869 -0.871 -0.502 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.221 -1.29 -1.325 -1.279 -1.262 -0.722 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.519 -1.614 -1.645 -1.62 -1.536 -0.853 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03499 HG03499 1.48 1.428 1.377 1.121 0.741 0.039 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.487 1.512 1.453 1.35 0.945 0.054 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.812 1.743 1.658 1.531 1.412 0.021 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.027 1.983 1.779 1.625 1.541 0.033 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03514 HG03514 1.504 1.373 1.334 0.805 0.508 0.426 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.434 1.353 1.168 0.762 0.581 0.42 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.214 1.199 1.053 0.898 0.66 0.541 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.976 0.96 0.958 0.869 0.721 0.542 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03515 HG03515 0.827 0.93 0.871 0.724 0.731 0.903 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.348 1.373 1.205 1.02 0.896 1.072 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.169 2.153 2.016 1.72 1.503 1.387 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.528 2.473 2.351 2.108 1.86 1.495 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03517 HG03517 1.052 0.904 0.638 0.537 0.392 0.118 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.256 1.148 0.861 0.615 0.56 0.062 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.588 0.503 0.357 0.204 0.5 0.119 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.092 -0.013 -0.08 -0.238 0.159 0.175 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03518 HG03518 0.056 -0.126 -0.294 -0.496 -0.803 -0.482 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.105 -0.103 -0.339 -0.426 -0.56 -0.493 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.724 0.478 0.218 0.08 0.001 -0.362 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.51 1.241 0.882 0.545 0.315 -0.306 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03519 HG03519 0.216 0.122 -0.184 -0.466 -0.932 -0.979 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.457 0.322 0.018 -0.23 -0.605 -1.011 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.475 0.332 0.178 0.019 -0.273 -0.742 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.392 0.28 0.189 -0.009 -0.285 -0.654 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03520 HG03520 0.349 0.364 0.37 0.337 0.453 0.513 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.168 0.255 0.219 0.259 0.369 0.713 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.251 -0.234 -0.289 -0.215 -0.167 0.758 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.539 -0.549 -0.566 -0.504 -0.355 0.681 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03521 HG03521 -0.393 -0.362 -0.271 -0.159 0.049 0.265 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.093 -0.069 -0.074 -0.119 -0.044 0.302 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.224 -0.246 -0.291 -0.245 -0.347 0.187 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.361 -0.418 -0.477 -0.476 -0.464 0.089 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03538 HG03538 0.183 0.085 0.103 0.438 0.603 0.382 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.139 0.054 0.216 0.536 0.591 0.354 0.131 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.146 0.181 0.294 0.479 0.616 0.455 0.088 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.326 0.275 0.209 0.297 0.43 0.515 0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03539 HG03539 -1.252 -1.099 -0.901 -0.487 -0.079 0.01 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.692 -0.507 -0.31 -0.119 0.032 0.012 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.33 -0.194 -0.043 0.155 0.169 0.08 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.331 -0.277 -0.151 0.044 0.173 0.125 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03548 HG03548 0.257 0.132 0.096 -0.175 -0.205 -0.113 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.254 -0.231 -0.105 -0.313 -0.348 -0.197 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.182 -0.098 0.016 -0.098 -0.187 -0.309 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.096 0.016 0.1 0.119 -0.035 -0.27 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03556 HG03556 -0.136 -0.16 -0.13 0.045 0.24 0.042 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.045 0.058 0.112 0.107 0.126 0.039 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.189 0.245 0.312 0.26 0.026 -0.129 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.095 -0.089 0.045 0.104 0.011 -0.189 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03557 HG03557 -0.508 -0.554 -0.688 -0.724 -0.793 -1.098 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.787 -0.742 -0.614 -0.599 -0.565 -1.078 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.183 -0.193 -0.092 -0.169 -0.126 -0.92 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.587 0.515 0.438 0.326 0.197 -0.829 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03558 HG03558 -0.191 -0.307 -0.334 -0.47 -1.005 -1.332 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.388 -0.395 -0.317 -0.509 -0.961 -1.326 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.323 -0.32 -0.207 -0.258 -0.756 -1.464 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.236 -0.282 -0.265 -0.246 -0.627 -1.502 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03559 HG03559 -1.739 -1.77 -1.662 -1.225 -0.786 -0.636 -0.622 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.655 -1.631 -1.454 -1.075 -0.768 -0.559 -0.592 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.435 -1.396 -1.257 -0.96 -0.69 -0.591 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.397 -1.365 -1.274 -1.078 -0.715 -0.578 -0.542 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03563 HG03563 0.227 -0.127 -0.52 -0.793 -0.939 -1.174 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.294 0.016 -0.186 -0.51 -0.788 -1.153 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.405 0.23 0.08 -0.021 -0.535 -1.047 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.452 0.311 0.199 0.12 -0.328 -1.006 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03565 HG03565 0.479 0.149 -0.395 -0.906 -1.219 -1.292 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.063 -0.199 -0.549 -0.888 -0.996 -1.286 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.564 -0.597 -0.689 -0.835 -0.901 -1.132 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.459 -0.404 -0.437 -0.566 -0.675 -1.102 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03567 HG03567 0.463 0.329 0.32 0.086 -0.157 0.445 0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.101 0.085 0.047 -0.191 -0.467 0.342 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.081 -0.005 -0.065 -0.181 -0.436 0.06 0.61 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.171 0.035 -0.081 -0.152 -0.372 0.035 0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03571 HG03571 0.083 0.065 -0.104 -0.258 -0.7 -1.056 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.2 0.109 -0.155 -0.38 -0.694 -1.013 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.503 0.416 0.241 0.026 -0.511 -0.894 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.671 0.694 0.692 0.534 -0.086 -0.86 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03572 HG03572 -1.313 -1.263 -1.371 -1.474 -1.633 -1.385 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.423 -1.386 -1.388 -1.343 -1.496 -1.401 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.103 -1.133 -1.067 -1.027 -1.107 -1.344 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.886 -0.882 -0.893 -0.865 -1.019 -1.293 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03575 HG03575 0.453 0.46 0.312 0.193 0.345 0.202 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.783 0.748 0.6 0.446 0.39 0.125 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.346 1.288 1.223 1.009 0.762 0.224 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.485 1.509 1.455 1.326 0.912 0.289 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03576 HG03576 -0.136 -0.065 -0.017 0.026 0.075 -0.038 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.012 -0.025 -0.006 0.007 0.103 -0.097 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.443 0.389 0.422 0.309 0.316 -0.073 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.909 0.875 0.802 0.644 0.558 -0.026 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03577 HG03577 -0.613 -0.952 -0.993 -1.236 -1.743 -2.177 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.288 -0.563 -0.589 -0.825 -1.516 -2.106 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.58 0.45 0.302 0.039 -0.964 -1.81 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.146 1.016 0.891 0.512 -0.486 -1.716 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03578 HG03578 0.02 -0.142 -0.199 -0.122 -0.31 -0.285 0.245 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.11 -0.034 -0.138 -0.179 -0.252 -0.243 0.288 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.195 0.192 0.08 -0.189 -0.413 -0.164 0.343 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.136 0.178 0.16 -0.056 -0.37 -0.19 0.356 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03583 HG03583 -0.956 -0.945 -1.094 -1.148 -1.558 -1.472 -0.944 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.816 -0.869 -1.133 -1.179 -1.496 -1.476 -0.937 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.198 -1.345 -1.626 -1.828 -1.807 -1.434 -0.925 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.238 -1.383 -1.622 -1.963 -2.039 -1.468 -0.921 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00904 HGDP00904 0.835 0.782 0.773 0.655 0.683 1.042 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.738 0.756 0.777 0.602 0.531 1.093 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.538 0.44 0.432 0.336 -0.004 0.81 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.594 0.402 0.235 0.176 -0.243 0.609 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00905 HGDP00905 0.057 0.314 0.628 1.007 1.217 1.174 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.755 0.835 0.952 1.084 1.188 1.158 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.057 1.081 1.074 0.919 0.869 1.065 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.092 1.088 1.041 0.913 0.762 0.995 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00906 HGDP00906 0.294 0.315 0.567 0.832 0.801 0.91 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.482 0.628 0.769 0.968 0.925 0.986 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.901 0.926 0.939 0.961 0.859 1.112 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.05 1.02 0.973 0.964 0.889 1.079 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00907 HGDP00907 0.904 0.98 0.773 0.535 0.347 0.243 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.405 0.477 0.494 0.458 0.523 0.279 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.246 0.369 0.512 0.59 0.7 0.594 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.277 0.388 0.503 0.603 0.678 0.715 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00908 HGDP00908 -0.666 -0.788 -1.116 -1.568 -1.711 -1.029 -0.622 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.22 -1.323 -1.464 -1.73 -1.76 -0.997 -0.592 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.079 -2.14 -2.155 -2.092 -1.92 -0.986 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.343 -2.391 -2.401 -2.198 -2.073 -0.994 -0.542 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00909 HGDP00909 0.955 0.766 0.588 0.054 -0.699 -0.766 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.862 0.65 0.505 -0.002 -0.661 -0.817 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.458 0.253 0.144 -0.041 -0.712 -1.073 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.761 0.576 0.323 0.068 -0.594 -1.204 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00910 HGDP00910 -0.928 -0.981 -1.133 -1.024 -1.041 -1.605 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.004 -0.945 -0.872 -0.735 -0.966 -1.655 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.817 -0.697 -0.513 -0.317 -0.462 -1.554 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.534 -0.44 -0.307 -0.18 -0.188 -1.413 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00911 HGDP00911 -0.45 -0.253 -0.199 -0.287 -0.372 -0.072 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.31 -0.247 -0.225 -0.27 -0.479 -0.1 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.037 -0.051 -0.124 -0.306 -0.64 -0.032 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.123 -0.027 -0.19 -0.4 -0.777 -0.03 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00912 HGDP00912 -1.003 -0.802 -0.451 0.096 0.425 0.275 -0.23 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.951 -0.811 -0.489 -0.039 0.417 0.304 -0.23 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.416 -0.246 -0.054 0.107 0.41 0.504 -0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.012 0.127 0.284 0.403 0.611 0.614 -0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00914 HGDP00914 -1.217 -1.254 -1.235 -1.486 -1.568 -0.521 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.51 -1.542 -1.586 -1.786 -1.76 -0.56 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.459 -1.463 -1.467 -1.798 -1.876 -0.752 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.044 -1.055 -1.122 -1.395 -1.679 -0.824 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00917 HGDP00917 -1.561 -1.308 -1.272 -1.192 -0.97 -0.125 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.302 -1.056 -1.087 -1.171 -1.018 -0.171 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.543 -1.479 -1.411 -1.426 -1.195 -0.285 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.622 -1.656 -1.692 -1.694 -1.385 -0.308 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00918 HGDP00918 0.238 0.25 0.311 0.327 0.354 0.287 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.551 0.499 0.477 0.399 0.337 0.185 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.496 0.587 0.619 0.461 0.158 0.046 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.299 0.347 0.433 0.391 0.072 -0.036 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00919 HGDP00919 -0.081 -0.084 0.221 0.771 0.985 0.844 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.29 0.412 0.651 0.949 0.879 0.769 0.131 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.603 0.735 1.002 1.264 0.972 0.712 0.088 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.88 0.922 1.026 1.27 1.161 0.736 0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00920 HGDP00920 -0.732 -0.803 -0.954 -1.367 -1.79 -1.869 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.895 -1.011 -1.105 -1.439 -1.895 -1.904 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.366 -0.442 -0.626 -1.109 -1.852 -2.044 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.16 -0.214 -0.377 -0.759 -1.7 -2.117 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00924 HGDP00924 -0.144 0.087 0.453 0.787 0.666 1.344 1.944 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.21 -0.112 0.111 0.427 0.523 1.329 1.976 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.625 -0.639 -0.724 -0.745 -0.264 1.119 2.02 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.891 -0.888 -1.015 -1.164 -0.717 0.926 2.03 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00925 HGDP00925 0.396 0.572 0.984 1.323 1.67 1.867 1.574 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.338 0.479 0.889 1.179 1.581 1.823 1.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.584 0.666 0.934 1.274 1.604 1.837 1.505 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.599 0.735 0.942 1.351 1.702 1.884 1.494 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00926 HGDP00926 -0.57 -0.548 -0.658 -0.742 -0.742 -0.816 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.084 -0.085 -0.322 -0.558 -0.837 -0.93 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.547 0.354 0.053 -0.246 -0.623 -1.024 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.294 0.184 0.03 -0.229 -0.588 -0.989 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00929 HGDP00929 0.611 0.687 0.72 1.25 1.314 0.797 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.07 0.982 0.864 1.225 1.342 0.754 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.154 1.031 0.872 0.892 1.171 0.77 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.313 1.226 1.037 0.883 1.162 0.754 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00930 HGDP00930 0.603 0.321 -0.023 -0.414 -0.646 -0.982 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.429 0.183 -0.106 -0.405 -0.498 -0.989 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.605 0.474 0.304 0.082 -0.013 -0.803 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.805 0.694 0.49 0.234 0.23 -0.687 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00931 HGDP00931 1.085 1.083 1.109 0.878 0.436 0.183 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.919 0.914 0.837 0.747 0.414 0.197 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.534 0.543 0.55 0.61 0.089 0.121 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.168 0.178 0.251 0.307 0.007 -0.023 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00935 HGDP00935 2.208 2.337 2.569 2.687 2.647 2.339 2.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.124 2.327 2.598 2.735 2.784 2.348 2.338 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.762 1.884 2.166 2.517 2.682 2.417 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.427 1.534 1.81 2.137 2.417 2.386 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00937 HGDP00937 -0.116 -0.007 0.363 0.438 0.321 0.244 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.236 0.262 0.375 0.51 0.284 0.244 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.333 0.346 0.341 0.369 0.184 0.218 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.061 0.101 0.173 0.22 0.137 0.216 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00938 HGDP00938 -0.01 0.067 0.02 -0.167 -0.664 -1.19 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.088 -0.014 0.056 -0.097 -0.544 -1.129 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.05 -0.003 -0.016 -0.114 -0.442 -0.963 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.228 0.216 0.15 -0.022 -0.316 -0.921 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00939 HGDP00939 -0.561 -0.642 -0.81 -1.068 -1.219 -1.568 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.723 -0.898 -0.989 -1.133 -1.242 -1.546 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.649 -0.65 -0.749 -0.871 -1.149 -1.632 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.681 -0.559 -0.501 -0.547 -0.851 -1.685 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00940 HGDP00940 0.21 0.15 0.12 0.068 0.168 0.51 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.351 0.296 0.109 -0.043 0.05 0.517 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.24 0.183 0.055 -0.006 0.161 0.375 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.009 -0.055 -0.033 -0.032 0.25 0.41 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00941 HGDP00941 0.756 0.79 0.671 0.307 -0.464 -0.701 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.236 0.267 0.293 0.188 -0.493 -0.786 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.344 -0.306 -0.166 -0.099 -0.534 -0.924 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.546 -0.516 -0.371 -0.279 -0.486 -0.984 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00942 HGDP00942 0.68 0.555 0.039 -0.542 -1.106 -1.915 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.372 0.267 -0.069 -0.515 -0.847 -1.862 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.202 0.085 -0.165 -0.487 -0.909 -1.686 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.115 0.009 -0.173 -0.494 -0.938 -1.65 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00943 HGDP00943 -2.154 -2.173 -2.292 -2.321 -2.245 -1.62 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.144 -2.193 -2.263 -2.283 -2.225 -1.543 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.834 -1.85 -1.943 -1.981 -2.072 -1.734 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.697 -1.702 -1.784 -1.8 -1.899 -1.837 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00944 HGDP00944 -1.032 -1.247 -1.238 -0.901 -0.53 -0.244 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.982 -1.113 -1.16 -0.912 -0.54 -0.321 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.144 -1.297 -1.425 -1.267 -0.601 -0.422 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.148 -1.301 -1.476 -1.463 -0.776 -0.425 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01200 HGDP01200 1.53 1.72 1.726 1.55 1.431 0.617 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.553 1.696 1.693 1.575 1.543 0.556 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.624 1.613 1.603 1.604 1.714 0.635 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.701 1.59 1.461 1.405 1.659 0.722 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01201 HGDP01201 0.22 0.184 0.226 0.258 0.255 0.061 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.133 -0.142 -0.072 0.136 0.172 -0.04 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.622 -0.547 -0.363 -0.088 0.084 -0.148 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.843 -0.737 -0.542 -0.24 -0.011 -0.153 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01202 HGDP01202 1.111 0.901 0.897 0.871 0.79 0.643 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.098 0.972 0.82 0.691 0.68 0.553 0.131 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.063 0.944 0.916 0.769 0.685 0.348 0.088 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.478 1.287 1.081 0.842 0.717 0.337 0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01283 HGDP01283 1.95 1.882 1.683 1.371 0.935 0.868 1.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.656 1.556 1.431 1.302 1.097 0.946 1.097 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.791 0.748 0.672 0.573 0.767 0.981 1.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.353 0.267 0.214 0.095 0.345 0.846 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01405 HGDP01405 0.718 0.518 0.466 0.096 -0.147 -0.904 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.522 0.408 0.336 0.019 -0.11 -0.933 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.742 0.666 0.593 0.485 0.012 -0.906 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.018 0.992 0.969 0.88 0.348 -0.926 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01408 HGDP01408 -1.205 -0.923 -0.651 -0.436 -0.154 -0.105 0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.677 -0.594 -0.342 -0.383 -0.273 -0.281 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.037 0.104 0.155 0.128 -0.289 -0.402 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.153 0.236 0.289 0.253 -0.153 -0.452 0.029 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01413 HGDP01413 -0.531 -0.502 -0.49 -0.259 0.12 -0.149 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.347 -0.475 -0.549 -0.433 -0.096 -0.159 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.187 -0.378 -0.615 -0.682 -0.536 -0.419 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.065 -0.227 -0.45 -0.619 -0.626 -0.551 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01418 HGDP01418 -1.515 -1.64 -1.712 -2.108 -2.233 -2.005 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.932 -1.994 -1.972 -2.227 -2.225 -2.044 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.82 -1.852 -1.877 -1.861 -2.211 -2.072 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.483 -1.477 -1.499 -1.459 -1.929 -2.103 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01419 HGDP01419 -1.287 -1.211 -1.324 -1.568 -1.771 -1.764 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.001 -1.089 -1.197 -1.475 -1.717 -1.776 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.747 -0.801 -0.815 -0.927 -1.616 -1.799 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.417 -0.549 -0.643 -0.7 -1.391 -1.828 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_B02 LP6005441-DNA_B02 0.477 0.438 0.196 -0.151 -0.547 -1.19 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.288 0.173 0.075 -0.067 -0.341 -1.23 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.316 0.315 0.239 0.008 0.077 -0.974 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.439 0.471 0.425 0.098 0.068 -0.837 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_E07 LP6005441-DNA_E07 2.251 2.302 2.445 2.327 2.214 2.398 2.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.914 1.937 2.042 1.968 2.063 2.399 2.338 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.817 0.838 0.895 0.987 1.485 2.091 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.17 0.135 0.203 0.471 1.07 1.895 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_F07 LP6005441-DNA_F07 -1.546 -1.625 -1.908 -2.036 -1.603 -0.847 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.046 -2.049 -2.103 -2.18 -1.8 -0.835 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.552 -2.574 -2.496 -2.32 -2.15 -1.084 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.756 -2.699 -2.606 -2.35 -2.254 -1.216 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005442-DNA_A02 LP6005442-DNA_A02 -0.672 -0.685 -0.498 -0.763 -0.815 -0.598 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.623 -0.564 -0.513 -0.667 -0.747 -0.587 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.126 -0.164 -0.207 -0.244 -0.49 -0.408 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.123 0.094 0.088 0.068 -0.172 -0.28 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005442-DNA_B02 LP6005442-DNA_B02 1.693 1.659 1.856 2.068 2.45 2.885 2.728 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.518 1.529 1.683 1.877 2.291 2.787 2.699 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.298 1.309 1.314 1.443 1.861 2.624 2.66 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.887 0.881 0.807 0.906 1.461 2.511 2.65 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005443-DNA_A01 LP6005443-DNA_A01 -0.029 0.302 0.691 0.873 1.102 1.242 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.26 0.006 0.403 0.714 0.92 1.217 1.183 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.488 -0.334 -0.032 0.321 0.613 1.214 1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.525 -0.475 -0.333 -0.045 0.385 1.177 1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005443-DNA_E02 LP6005443-DNA_E02 0.039 -0.249 -0.172 -0.121 -0.355 -0.877 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.068 -0.051 0.078 0.109 -0.162 -0.917 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.11 0.032 0.055 0.158 0.069 -0.82 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.37 0.296 0.289 0.261 0.152 -0.742 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18486 NA18486 -0.137 -0.462 -0.879 -1.089 -1.162 -1.325 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.393 -0.709 -1.038 -1.218 -1.227 -1.326 -1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.255 -0.435 -0.702 -1.061 -1.383 -1.463 -1.185 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.054 -0.078 -0.299 -0.616 -1.129 -1.526 -1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18487 NA18487 0.608 0.64 0.766 0.716 0.738 0.683 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.408 0.394 0.477 0.51 0.561 0.738 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.011 -0.079 -0.111 0.006 0.115 0.592 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.007 -0.058 -0.187 -0.218 -0.167 0.451 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18488 NA18488 -1.189 -1.391 -1.497 -1.538 -1.372 -1.1 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.257 -1.361 -1.421 -1.489 -1.454 -1.165 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.144 -1.243 -1.377 -1.444 -1.495 -1.322 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.74 -0.867 -1.076 -1.149 -1.257 -1.302 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18489 NA18489 -0.589 -0.506 -0.375 -0.153 -0.074 -0.358 -0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.282 -0.22 -0.198 -0.049 -0.042 -0.312 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.268 0.324 0.401 0.479 0.014 -0.216 -0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.47 0.448 0.496 0.603 0.124 -0.221 -0.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18498 NA18498 2.422 2.503 2.545 2.696 2.546 2.335 1.574 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.466 2.524 2.53 2.489 2.284 2.273 1.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.87 1.975 2.061 2.04 1.95 2.137 1.505 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.031 1.195 1.359 1.449 1.606 2.1 1.494 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18499 NA18499 0.921 0.981 1.057 1.357 1.578 1.301 0.419 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.82 0.881 1.106 1.405 1.625 1.239 0.39 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.723 0.906 1.228 1.621 1.85 1.349 0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.667 0.85 1.151 1.54 1.826 1.42 0.339 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18501 NA18501 -0.219 -0.191 0.19 0.431 0.272 -0.373 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.216 0.302 0.604 0.738 0.494 -0.416 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.636 0.774 0.939 1.1 0.958 -0.266 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.63 0.778 0.973 1.236 1.151 -0.161 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18502 NA18502 -1.351 -1.358 -1.245 -1.166 -0.968 -0.571 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.606 -1.58 -1.342 -1.051 -0.841 -0.669 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.823 -1.732 -1.58 -1.263 -0.756 -0.517 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.822 -1.723 -1.561 -1.283 -0.833 -0.384 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18504 NA18504 -0.981 -0.981 -0.724 -0.574 -0.598 -0.795 -0.944 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.683 -0.686 -0.56 -0.446 -0.688 -0.712 -0.937 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.455 -0.491 -0.468 -0.59 -0.843 -0.926 -0.925 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.653 -0.645 -0.642 -0.639 -0.896 -1.03 -0.921 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18505 NA18505 -1.046 -1.176 -1.414 -1.31 -0.958 -0.559 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.251 -1.319 -1.482 -1.273 -0.865 -0.59 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.029 -1.177 -1.283 -1.103 -0.597 -0.448 -0.605 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.57 -0.643 -0.794 -0.869 -0.537 -0.378 -0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18507 NA18507 0.235 0.154 -0.023 -0.059 0.147 0.504 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.136 0.076 -0.061 -0.056 0.143 0.491 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.307 0.307 0.372 0.393 0.282 0.448 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.05 0.126 0.305 0.428 0.497 0.4 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18508 NA18508 -0.737 -0.925 -1.122 -1.383 -1.839 -2.12 -2.098 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.771 -0.888 -0.955 -1.078 -1.46 -2.029 -2.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.684 -0.68 -0.57 -0.548 -0.692 -1.712 -2.08 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.826 -0.784 -0.666 -0.536 -0.442 -1.553 -2.077 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18510 NA18510 0.566 0.342 0.141 0.074 0.161 0.595 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.706 0.591 0.385 0.117 0.096 0.569 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.392 0.379 0.378 0.32 0.117 0.418 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.363 0.362 0.308 0.336 0.15 0.392 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18511 NA18511 0.708 0.785 0.886 1.014 1.224 1.088 0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.353 0.324 0.513 0.769 1.049 0.932 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.202 -0.165 -0.047 0.271 0.846 0.774 0.61 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.54 -0.48 -0.334 0.009 0.61 0.784 0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18516 NA18516 0.026 -0.074 -0.036 -0.034 -0.072 -0.334 -0.622 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.444 -0.415 -0.254 -0.147 -0.212 -0.291 -0.592 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.989 -0.871 -0.692 -0.448 -0.388 -0.427 -0.552 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.362 -1.248 -1.075 -0.746 -0.511 -0.451 -0.542 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18517 NA18517 -0.059 -0.32 -0.399 -0.32 -0.221 -0.045 -0.447 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.318 0.206 0.126 0.088 -0.134 -0.078 -0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.879 0.831 0.869 0.881 0.54 0.196 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.054 1.023 1.052 1.119 0.821 0.401 -0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18519 NA18519 0.082 0.329 0.709 1.252 1.704 1.783 1.574 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.129 0.334 0.72 1.17 1.649 1.674 1.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.668 0.79 0.924 1.141 1.475 1.743 1.505 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.686 0.885 1.068 1.235 1.536 1.769 1.494 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18520 NA18520 1.527 1.406 1.532 1.52 1.986 2.075 2.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.645 1.501 1.407 1.218 1.624 2.065 2.338 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.824 0.638 0.407 0.311 0.88 1.693 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.315 0.139 -0.086 -0.209 0.399 1.545 2.34 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18522 NA18522 0.328 0.165 -0.155 -0.27 -0.43 -0.669 -1.314 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.425 0.251 0.028 -0.137 -0.401 -0.755 -1.368 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.786 0.703 0.605 0.526 0.316 -0.454 -1.44 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.862 0.876 0.853 0.727 0.575 -0.226 -1.457 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18523 NA18523 1.06 1.051 1.298 1.414 1.425 0.712 0.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.588 1.657 1.778 1.74 1.465 0.731 0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.143 2.234 2.282 2.223 1.749 0.872 0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.255 2.35 2.415 2.307 1.81 0.938 0.286 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18852 NA18852 -2.857 -2.58 -2.443 -1.942 -1.112 -0.042 0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.677 -2.597 -2.521 -2.144 -1.538 -0.219 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.618 -2.639 -2.633 -2.395 -1.985 -0.562 0.61 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.554 -2.572 -2.585 -2.449 -2.223 -0.619 0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18853 NA18853 0.432 0.204 0.071 -0.088 -0.51 -1.136 -1.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.483 0.362 0.23 0.074 -0.296 -1.157 -1.73 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.912 0.869 0.757 0.641 0.24 -0.992 -1.76 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.057 1.038 0.972 0.855 0.494 -0.885 -1.767 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18855 NA18855 1.575 1.189 0.658 0.046 -0.233 -0.378 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.02 0.83 0.417 -0.035 -0.277 -0.421 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.681 0.624 0.448 0.208 -0.172 -0.467 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.497 0.494 0.371 0.217 -0.03 -0.489 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18856 NA18856 -0.529 -0.675 -0.643 -0.324 -0.135 0.588 0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.497 -0.576 -0.597 -0.428 -0.272 0.478 0.666 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.614 -0.706 -0.729 -0.652 -0.279 0.401 0.61 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.545 -0.598 -0.61 -0.637 -0.379 0.472 0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18858 NA18858 -0.439 -0.233 -0.133 -0.127 -0.292 -0.677 -0.839 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.085 0.048 0.237 0.061 -0.26 -0.744 -0.851 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.554 0.659 0.757 0.591 -0.019 -0.824 -0.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.728 0.822 0.914 0.775 0.246 -0.763 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18859 NA18859 0.759 0.494 0.058 -0.321 -0.268 -0.23 -0.077 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.335 0.172 -0.157 -0.41 -0.268 -0.214 -0.058 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.088 -0.173 -0.398 -0.729 -0.619 -0.301 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.046 -0.075 -0.262 -0.647 -0.785 -0.392 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA18861 NA18861 1.657 1.563 1.322 0.62 0.034 0.052 0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.873 1.617 1.207 0.479 0.044 0.128 0.822 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.745 1.561 1.213 0.641 0.045 0.124 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.517 1.377 1.176 0.769 0.259 0.042 0.875 NA NA NA NA NA NA NA NA NA NA NA NA NA
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+NA19921 NA19921 -0.076 -0.348 -0.427 -0.097 0.696 1.567 1.291 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.105 -0.227 -0.254 0.047 0.691 1.677 1.294 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.13 0.121 0.086 0.263 0.628 1.756 1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.552 0.458 0.378 0.451 0.685 1.79 1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19922 NA19922 0.501 0.66 0.742 0.736 0.506 0.611 0.406 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.607 0.766 0.752 0.742 0.566 0.508 0.377 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.487 0.636 0.735 0.86 0.695 0.555 0.335 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.374 0.436 0.559 0.736 0.737 0.608 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19923 NA19923 -0.988 -0.995 -1.267 -1.485 -1.337 -0.848 -0.374 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.86 -0.972 -1.121 -1.298 -1.217 -0.701 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.66 -0.704 -0.726 -0.791 -1 -0.534 -0.3 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.587 -0.575 -0.508 -0.482 -0.765 -0.537 -0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19982 NA19982 1.503 1.302 0.806 0.343 0.362 1.365 1.569 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.623 1.257 0.817 0.369 0.329 1.357 1.54 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.104 0.919 0.618 0.498 0.517 1.315 1.499 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.536 0.465 0.315 0.276 0.481 1.315 1.488 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19984 NA19984 -1.799 -1.818 -1.843 -1.793 -1.74 -1.889 -2.092 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.892 -1.826 -1.705 -1.552 -1.587 -1.927 -2.086 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.867 -1.715 -1.55 -1.266 -1.264 -1.891 -2.074 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.782 -1.73 -1.56 -1.278 -1.27 -1.844 -2.071 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20126 NA20126 -1.516 -1.521 -1.454 -1.219 -0.835 -0.579 -0.818 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.78 -1.726 -1.573 -1.319 -0.88 -0.577 -0.809 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.565 -1.476 -1.33 -1.207 -0.87 -0.661 -0.795 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.269 -1.222 -1.167 -1.043 -0.788 -0.669 -0.791 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20127 NA20127 1.127 1.285 1.564 1.942 2.302 2.443 1.681 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.524 1.716 2.111 2.499 2.74 2.748 1.653 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.993 2.238 2.622 3.225 3.646 3.225 1.614 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.364 2.538 2.93 3.494 4.176 3.403 1.604 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20276 NA20276 -1.326 -1.308 -1.261 -1.295 -1.464 -1.789 -2.092 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.009 -1.018 -1.02 -1.109 -1.426 -1.73 -2.086 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.387 -0.299 -0.294 -0.656 -1.158 -1.663 -2.074 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.218 -0.148 -0.064 -0.376 -0.965 -1.572 -2.071 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20281 NA20281 -1.91 -2.109 -1.967 -1.622 -0.972 -0.292 -0.326 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.389 -2.419 -2.119 -1.6 -1.026 -0.259 -0.308 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.656 -2.515 -2.22 -1.706 -1.064 -0.325 -0.282 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.429 -2.35 -2.133 -1.649 -1.161 -0.326 -0.275 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20282 NA20282 -1.279 -1.143 -0.742 -0.237 0.203 -0.094 0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.857 -0.763 -0.527 -0.161 0.213 -0.047 0.308 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.109 0.153 0.26 0.333 0.469 0.139 0.294 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.555 0.604 0.66 0.724 0.751 0.213 0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20287 NA20287 0.718 0.641 0.642 0.566 0.491 0.068 0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.613 0.698 0.75 0.606 0.628 0.013 0.308 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.613 0.634 0.704 0.805 0.689 -0.022 0.294 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.543 0.541 0.593 0.724 0.791 -0.019 0.291 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20289 NA20289 1.795 1.915 2.103 2.109 1.725 1.284 0.901 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.829 1.928 2.161 2.227 1.829 1.401 0.935 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.796 1.877 2.033 2.193 1.67 1.491 0.979 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.752 1.782 1.885 2.053 1.602 1.443 0.99 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20291 NA20291 0.194 0.41 0.79 1.022 1.033 1.201 1.178 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.338 0.485 0.601 0.808 0.96 1.13 1.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.544 0.578 0.572 0.598 0.826 0.948 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.468 0.523 0.553 0.562 0.752 0.87 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20294 NA20294 -0.955 -0.996 -1.334 -1.456 -1.265 -0.999 -0.843 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.569 -0.783 -1.186 -1.447 -1.298 -1.001 -0.854 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.425 -0.581 -0.845 -1.121 -1.404 -1.057 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.46 -0.554 -0.633 -0.847 -1.243 -1.07 -0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20296 NA20296 0.245 0.333 0.239 0.022 -0.159 -0.324 -0.374 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.57 0.596 0.389 0.037 -0.275 -0.355 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.072 1.028 0.791 0.301 -0.51 -0.441 -0.3 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.163 1.029 0.723 0.25 -0.601 -0.486 -0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20298 NA20298 -0.431 -0.408 -0.247 -0.053 -0.007 -0.629 -0.843 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.267 -0.262 -0.145 -0.039 0.178 -0.593 -0.854 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.119 0.126 0.15 0.193 0.365 -0.355 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.411 0.465 0.428 0.421 0.579 -0.264 -0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20317 NA20317 -0.393 -0.502 -0.664 -0.933 -0.762 -0.8 -0.843 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.356 -0.365 -0.571 -0.717 -0.669 -0.739 -0.854 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.581 -0.575 -0.64 -0.598 -0.41 -0.451 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.88 -0.839 -0.837 -0.797 -0.509 -0.287 -0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20320 NA20320 -0.198 -0.109 -0.209 -0.397 -0.497 -0.318 -0.071 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.526 -0.502 -0.538 -0.648 -0.656 -0.269 -0.051 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.627 -0.657 -0.677 -0.726 -0.971 -0.323 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.751 -0.733 -0.688 -0.701 -1.011 -0.422 -0.016 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20332 NA20332 0.568 0.635 0.787 0.767 0.364 -0.466 -0.843 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.536 0.674 0.655 0.568 0.247 -0.534 -0.854 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.677 0.716 0.71 0.477 0.294 -0.581 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.015 0.96 0.865 0.648 0.423 -0.512 -0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20334 NA20334 0.694 0.477 0.012 -0.451 -0.316 0.094 -0.071 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.713 0.477 0.036 -0.371 -0.293 0.219 -0.051 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.221 0.098 -0.147 -0.277 0 0.358 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.051 -0.008 -0.017 -0.079 0.168 0.445 -0.016 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20339 NA20339 -0.559 -0.427 -0.139 -0.031 -0.192 -0.706 -0.374 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.282 -0.172 0.004 0.039 -0.103 -0.695 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.086 0.049 0.222 0.176 0.151 -0.6 -0.3 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.013 0.158 0.275 0.256 0.32 -0.57 -0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20340 NA20340 0.485 0.32 0.11 -0.185 -0.012 0.388 0.129 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.003 -0.188 -0.298 -0.393 0.008 0.479 0.131 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.716 -0.757 -0.779 -0.809 -0.164 0.521 0.133 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.899 -0.878 -0.858 -0.691 -0.148 0.511 0.133 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20342 NA20342 -0.565 -0.513 -0.452 -0.218 0.49 1.44 1.569 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.183 -0.258 -0.212 -0.233 0.31 1.426 1.54 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.423 0.418 0.363 0.276 0.293 1.273 1.499 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.874 0.867 0.927 0.869 0.647 1.259 1.488 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20346 NA20346 -0.689 -0.504 -0.246 -0.13 -0.34 -0.272 -0.15 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.548 -0.41 -0.249 -0.231 -0.458 -0.368 -0.204 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.589 -0.443 -0.423 -0.432 -0.39 -0.327 -0.275 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.724 -0.577 -0.534 -0.581 -0.418 -0.256 -0.293 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20348 NA20348 0.48 0.402 0.305 0.551 0.8 0.909 0.709 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.273 0.312 0.452 0.719 0.918 0.885 0.668 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.296 0.493 0.739 1.005 1.206 1.042 0.612 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.094 0.318 0.58 0.938 1.22 1.136 0.598 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20351 NA20351 0.512 0.527 0.599 0.595 0.587 0.559 0.432 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.61 0.58 0.687 0.76 0.728 0.689 0.422 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.704 0.682 0.786 1.027 0.821 0.866 0.41 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.737 0.691 0.746 0.996 0.938 0.889 0.406 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20356 NA20356 1.344 1.501 1.423 1.224 1.556 1.844 1.178 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.09 1.249 1.214 1.357 1.72 2.028 1.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.999 1.1 1.229 1.576 1.987 2.232 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.348 1.378 1.525 1.851 2.188 2.263 1.181 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20357 NA20357 0.665 0.557 0.307 -0.114 -0.501 -0.726 -0.843 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.254 0.198 -0.022 -0.309 -0.518 -0.757 -0.854 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.421 -0.434 -0.524 -0.699 -0.656 -0.752 -0.869 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.579 -0.599 -0.644 -0.757 -0.666 -0.772 -0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20362 NA20362 1.076 1.027 0.946 0.563 0.32 0.242 -0.071 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.874 0.862 0.783 0.461 0.27 0.255 -0.051 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.891 0.859 0.686 0.447 0.324 0.182 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.715 0.755 0.721 0.534 0.433 0.16 -0.016 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20412 NA20412 -1.116 -1.27 -1.279 -1.32 -1.195 -0.846 -1.121 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.535 -1.619 -1.527 -1.382 -1.114 -0.722 -1.1 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.681 -1.601 -1.532 -1.387 -1.105 -0.42 -1.072 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.51 -1.484 -1.398 -1.416 -1.064 -0.329 -1.064 NA NA NA NA NA NA NA NA NA NA NA NA NA
+SS6004470 SS6004470 2.034 2.192 2.162 1.692 1.459 1.249 0.406 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.945 1.974 1.921 1.675 1.384 1.142 0.377 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.702 1.772 1.704 1.494 1.309 0.97 0.335 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.323 1.387 1.432 1.428 1.201 0.907 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
+SS6004475 SS6004475 -1.333 -1.07 -0.583 0.15 0.598 0.155 0.016 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.474 -0.359 -0.051 0.401 0.71 0.105 0.018 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.808 0.82 0.863 1.06 0.931 0.148 0.018 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.538 1.539 1.522 1.483 1.345 0.184 0.017 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AFR.scale b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AFR.scale
index 97678cc2..a6b8bfaf 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AFR.scale
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AFR.scale
@@ -1,11 +1,11 @@
 Param Mean SD
-SCORE_s0.2_lambda0.001 0.0302161895450581 0.0117186175956569
-SCORE_s0.2_lambda0.00127427498570313 0.0277621197325581 0.00971528808603498
-SCORE_s0.2_lambda0.00162377673918872 0.0233562588880814 0.00758146676023413
-SCORE_s0.2_lambda0.00206913808111479 0.0155576228110465 0.00547751422131493
-SCORE_s0.2_lambda0.00263665089873036 0.00554611974287791 0.00371637750144871
-SCORE_s0.2_lambda0.00335981828628378 -0.00130599954697674 0.00226390738793002
-SCORE_s0.2_lambda0.00428133239871939 -0.000414858559593023 0.000989599202668769
+SCORE_s0.2_lambda0.001 0.0304749243270349 0.0116986795394041
+SCORE_s0.2_lambda0.00127427498570313 0.0279445175465116 0.00969670303289928
+SCORE_s0.2_lambda0.00162377673918872 0.0234986535649709 0.00757218364680089
+SCORE_s0.2_lambda0.00206913808111479 0.015749488218314 0.00548120302748775
+SCORE_s0.2_lambda0.00263665089873036 0.0057342149809593 0.0037230704594759
+SCORE_s0.2_lambda0.00335981828628378 -0.00109518255857558 0.00227620346626065
+SCORE_s0.2_lambda0.00428133239871939 -0.00040559139752907 0.000998245706735097
 SCORE_s0.2_lambda0.00545559478116852 0 0
 SCORE_s0.2_lambda0.00695192796177561 0 0
 SCORE_s0.2_lambda0.00885866790410083 0 0
@@ -19,13 +19,13 @@ SCORE_s0.2_lambda0.0483293023857176 0 0
 SCORE_s0.2_lambda0.0615848211066027 0 0
 SCORE_s0.2_lambda0.0784759970351462 0 0
 SCORE_s0.2_lambda0.1 0 0
-SCORE_s0.5_lambda0.001 0.0360115381206395 0.0117383054508365
-SCORE_s0.5_lambda0.00127427498570313 0.0315397897761628 0.0099161022936629
-SCORE_s0.5_lambda0.00162377673918872 0.0240036865741279 0.00787319816615711
-SCORE_s0.5_lambda0.00206913808111479 0.0165568198517442 0.00579697534647564
-SCORE_s0.5_lambda0.00263665089873036 0.00638605690693314 0.00383586952794697
-SCORE_s0.5_lambda0.00335981828628378 -0.00191503966104651 0.00222338869732296
-SCORE_s0.5_lambda0.00428133239871939 -0.000381718723110465 0.000978074215265379
+SCORE_s0.5_lambda0.001 0.0361972037790698 0.0117322253127625
+SCORE_s0.5_lambda0.00127427498570313 0.0317631669709302 0.00991230619334298
+SCORE_s0.5_lambda0.00162377673918872 0.0241739169694767 0.00787226848820186
+SCORE_s0.5_lambda0.00206913808111479 0.0167595474752907 0.00580083302600678
+SCORE_s0.5_lambda0.00263665089873036 0.00656668086177326 0.00384128533545584
+SCORE_s0.5_lambda0.00335981828628378 -0.00171761184709302 0.00223200780906725
+SCORE_s0.5_lambda0.00428133239871939 -0.000371832504215116 0.000986572633064869
 SCORE_s0.5_lambda0.00545559478116852 0 0
 SCORE_s0.5_lambda0.00695192796177561 0 0
 SCORE_s0.5_lambda0.00885866790410083 0 0
@@ -39,13 +39,13 @@ SCORE_s0.5_lambda0.0483293023857176 0 0
 SCORE_s0.5_lambda0.0615848211066027 0 0
 SCORE_s0.5_lambda0.0784759970351462 0 0
 SCORE_s0.5_lambda0.1 0 0
-SCORE_s0.9_lambda0.001 0.0812895422965116 0.0192044378113531
-SCORE_s0.9_lambda0.00127427498570313 0.0652181331395349 0.0160627649983831
-SCORE_s0.9_lambda0.00162377673918872 0.0474502454941861 0.0123968519009599
-SCORE_s0.9_lambda0.00206913808111479 0.0286866989534884 0.00841756279875266
-SCORE_s0.9_lambda0.00263665089873036 0.010530936547093 0.00478308481590678
-SCORE_s0.9_lambda0.00335981828628378 -0.00252797054883721 0.00228724138170211
-SCORE_s0.9_lambda0.00428133239871939 -0.000337217788226744 0.000965160078169858
+SCORE_s0.9_lambda0.001 0.0814996427325581 0.0192023776723317
+SCORE_s0.9_lambda0.00127427498570313 0.0654275167151163 0.0160606001207135
+SCORE_s0.9_lambda0.00162377673918872 0.0476447244186047 0.0123953822404673
+SCORE_s0.9_lambda0.00206913808111479 0.0288918502034884 0.00841627301287972
+SCORE_s0.9_lambda0.00263665089873036 0.0107081132340116 0.00478428283923796
+SCORE_s0.9_lambda0.00335981828628378 -0.00232882409199128 0.00229159972471811
+SCORE_s0.9_lambda0.00428133239871939 -0.000326481939389535 0.00097350679874023
 SCORE_s0.9_lambda0.00545559478116852 0 0
 SCORE_s0.9_lambda0.00695192796177561 0 0
 SCORE_s0.9_lambda0.00885866790410083 0 0
@@ -59,13 +59,13 @@ SCORE_s0.9_lambda0.0483293023857176 0 0
 SCORE_s0.9_lambda0.0615848211066027 0 0
 SCORE_s0.9_lambda0.0784759970351462 0 0
 SCORE_s0.9_lambda0.1 0 0
-SCORE_s1_lambda0.001 0.159981835901163 0.0309736149882845
-SCORE_s1_lambda0.00127427498570313 0.125162427761628 0.0253640899751656
-SCORE_s1_lambda0.00162377673918872 0.0875951837209303 0.0190096132003907
-SCORE_s1_lambda0.00206913808111479 0.0508423635174419 0.0119873185736593
-SCORE_s1_lambda0.00263665089873036 0.0168893534011628 0.00580364842210851
-SCORE_s1_lambda0.00335981828628378 -0.00285867502325581 0.00238783680429659
-SCORE_s1_lambda0.00428133239871939 -0.000325983522238372 0.000962358010266397
+SCORE_s1_lambda0.001 0.160290296947674 0.030971702742306
+SCORE_s1_lambda0.00127427498570313 0.12542218619186 0.0253626801796876
+SCORE_s1_lambda0.00162377673918872 0.0878026231104651 0.0190070000249254
+SCORE_s1_lambda0.00206913808111479 0.0510468050872093 0.0119846229851933
+SCORE_s1_lambda0.00263665089873036 0.0170848982412791 0.00580245965676696
+SCORE_s1_lambda0.00335981828628378 -0.00265555621773256 0.00239022994045551
+SCORE_s1_lambda0.00428133239871939 -0.000315030660755814 0.000970675080505651
 SCORE_s1_lambda0.00545559478116852 0 0
 SCORE_s1_lambda0.00695192796177561 0 0
 SCORE_s1_lambda0.00885866790410083 0 0
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AMR.profiles b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AMR.profiles
index 52ce2528..6752bc4f 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AMR.profiles
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AMR.profiles
@@ -1,413 +1,413 @@
 FID IID SCORE_s0.2_lambda0.001 SCORE_s0.2_lambda0.00127427498570313 SCORE_s0.2_lambda0.00162377673918872 SCORE_s0.2_lambda0.00206913808111479 SCORE_s0.2_lambda0.00263665089873036 SCORE_s0.2_lambda0.00335981828628378 SCORE_s0.2_lambda0.00428133239871939 SCORE_s0.2_lambda0.00545559478116852 SCORE_s0.2_lambda0.00695192796177561 SCORE_s0.2_lambda0.00885866790410083 SCORE_s0.2_lambda0.0112883789168469 SCORE_s0.2_lambda0.0143844988828766 SCORE_s0.2_lambda0.0183298071083244 SCORE_s0.2_lambda0.0233572146909012 SCORE_s0.2_lambda0.0297635144163132 SCORE_s0.2_lambda0.0379269019073225 SCORE_s0.2_lambda0.0483293023857176 SCORE_s0.2_lambda0.0615848211066027 SCORE_s0.2_lambda0.0784759970351462 SCORE_s0.2_lambda0.1 SCORE_s0.5_lambda0.001 SCORE_s0.5_lambda0.00127427498570313 SCORE_s0.5_lambda0.00162377673918872 SCORE_s0.5_lambda0.00206913808111479 SCORE_s0.5_lambda0.00263665089873036 SCORE_s0.5_lambda0.00335981828628378 SCORE_s0.5_lambda0.00428133239871939 SCORE_s0.5_lambda0.00545559478116852 SCORE_s0.5_lambda0.00695192796177561 SCORE_s0.5_lambda0.00885866790410083 SCORE_s0.5_lambda0.0112883789168469 SCORE_s0.5_lambda0.0143844988828766 SCORE_s0.5_lambda0.0183298071083244 SCORE_s0.5_lambda0.0233572146909012 SCORE_s0.5_lambda0.0297635144163132 SCORE_s0.5_lambda0.0379269019073225 SCORE_s0.5_lambda0.0483293023857176 SCORE_s0.5_lambda0.0615848211066027 SCORE_s0.5_lambda0.0784759970351462 SCORE_s0.5_lambda0.1 SCORE_s0.9_lambda0.001 SCORE_s0.9_lambda0.00127427498570313 SCORE_s0.9_lambda0.00162377673918872 SCORE_s0.9_lambda0.00206913808111479 SCORE_s0.9_lambda0.00263665089873036 SCORE_s0.9_lambda0.00335981828628378 SCORE_s0.9_lambda0.00428133239871939 SCORE_s0.9_lambda0.00545559478116852 SCORE_s0.9_lambda0.00695192796177561 SCORE_s0.9_lambda0.00885866790410083 SCORE_s0.9_lambda0.0112883789168469 SCORE_s0.9_lambda0.0143844988828766 SCORE_s0.9_lambda0.0183298071083244 SCORE_s0.9_lambda0.0233572146909012 SCORE_s0.9_lambda0.0297635144163132 SCORE_s0.9_lambda0.0379269019073225 SCORE_s0.9_lambda0.0483293023857176 SCORE_s0.9_lambda0.0615848211066027 SCORE_s0.9_lambda0.0784759970351462 SCORE_s0.9_lambda0.1 SCORE_s1_lambda0.001 SCORE_s1_lambda0.00127427498570313 SCORE_s1_lambda0.00162377673918872 SCORE_s1_lambda0.00206913808111479 SCORE_s1_lambda0.00263665089873036 SCORE_s1_lambda0.00335981828628378 SCORE_s1_lambda0.00428133239871939 SCORE_s1_lambda0.00545559478116852 SCORE_s1_lambda0.00695192796177561 SCORE_s1_lambda0.00885866790410083 SCORE_s1_lambda0.0112883789168469 SCORE_s1_lambda0.0143844988828766 SCORE_s1_lambda0.0183298071083244 SCORE_s1_lambda0.0233572146909012 SCORE_s1_lambda0.0297635144163132 SCORE_s1_lambda0.0379269019073225 SCORE_s1_lambda0.0483293023857176 SCORE_s1_lambda0.0615848211066027 SCORE_s1_lambda0.0784759970351462 SCORE_s1_lambda0.1
-HG00551 HG00551 0.601 0.685 0.865 0.901 0.825 -0.196 -1.8 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.724 0.725 0.892 0.951 0.978 -0.176 -1.801 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.252 1.28 1.278 1.249 1.221 0.035 -1.798 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.564 1.634 1.656 1.601 1.43 0.074 -1.797 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00553 HG00553 0.523 0.474 0.444 0.448 0.43 -0.92 -1.8 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.668 0.663 0.649 0.741 0.772 -0.558 -1.801 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.063 1.081 1.106 1.221 1.279 -0.045 -1.798 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.005 1.018 1.046 1.184 1.408 0.121 -1.797 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00554 HG00554 0.187 0.119 0.023 0.053 0.454 1.075 2.643 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.187 0.061 -0.027 -0.107 0.222 1.036 2.674 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.026 -0.084 -0.223 -0.376 -0.31 0.776 2.715 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.288 -0.341 -0.422 -0.495 -0.564 0.633 2.725 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00637 HG00637 0.907 0.907 0.74 0.565 0.48 0.233 0.444 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.036 0.99 0.761 0.568 0.537 0.317 0.406 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.55 1.428 1.219 0.961 0.655 0.476 0.357 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.799 1.662 1.441 1.12 0.765 0.543 0.346 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00638 HG00638 -0.702 -0.75 -0.536 -0.303 0.028 0.289 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.889 -0.822 -0.604 -0.317 0.108 0.251 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.631 -0.543 -0.411 -0.14 0.381 0.506 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.412 -0.359 -0.268 -0.075 0.485 0.614 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00640 HG00640 1.151 1.161 1.162 1.076 1.045 1.03 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.1 1.082 1.048 0.968 1.073 1.123 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.949 0.952 0.979 0.957 1.133 1.145 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.718 0.756 0.853 0.982 1.141 1.152 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00641 HG00641 0.08 0.059 -0.04 0.034 0.559 0.489 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.141 0.072 -0.05 0.105 0.501 0.53 -0.354 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.25 0.203 0.113 0.154 0.417 0.617 -0.321 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.289 0.229 0.142 0.11 0.332 0.627 -0.313 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00731 HG00731 1.039 0.801 0.634 0.412 -0.047 -0.519 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.034 0.888 0.753 0.604 0.348 -0.19 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.911 0.904 0.847 0.768 0.747 0.344 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.702 0.764 0.785 0.718 0.795 0.5 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00732 HG00732 0.878 0.896 0.896 0.947 1.304 1.308 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.707 0.726 0.777 0.827 1.209 1.396 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.234 0.218 0.14 0.116 0.492 1.44 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.346 -0.333 -0.367 -0.48 -0.158 1.382 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00733 HG00733 -0.172 -0.404 -0.422 -0.462 -0.493 -0.637 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.319 -0.388 -0.37 -0.233 -0.196 -0.388 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.618 -0.602 -0.59 -0.504 -0.242 -0.045 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.039 -0.967 -0.896 -0.87 -0.538 0.036 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00734 HG00734 -0.475 -0.432 -0.366 -0.109 0.462 0.55 2.074 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.42 -0.38 -0.385 -0.093 0.329 0.519 2.148 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.468 -0.443 -0.419 -0.3 0 0.205 2.248 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.473 -0.445 -0.402 -0.249 -0.05 -0.003 2.273 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00736 HG00736 1.013 0.982 0.74 0.251 -0.092 0.137 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.085 0.965 0.712 0.295 0.053 0.262 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.879 0.724 0.537 0.28 0.155 0.212 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.772 0.606 0.459 0.266 0.153 0.2 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00737 HG00737 -1.21 -1.233 -1.396 -1.736 -2.095 -2.504 -1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.202 -1.245 -1.433 -1.664 -2.068 -2.42 -1.214 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.265 -1.349 -1.499 -1.736 -2.231 -2.456 -1.129 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.167 -1.3 -1.47 -1.659 -2.207 -2.527 -1.107 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00738 HG00738 -1.255 -1.333 -1.582 -1.933 -2.163 -1.916 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.122 -1.25 -1.553 -1.813 -2.077 -1.81 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.229 -1.398 -1.631 -1.971 -2.279 -1.911 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.282 -1.49 -1.694 -1.977 -2.353 -2.011 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00739 HG00739 1.201 0.998 0.92 0.678 0.133 -0.665 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.841 0.755 0.627 0.486 0.145 -0.493 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.472 0.433 0.382 0.271 0.112 -0.391 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.619 0.489 0.34 0.224 0.054 -0.406 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00740 HG00740 0.537 0.439 0.471 0.203 0.029 -0.462 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.37 0.351 0.38 0.357 0.227 -0.276 -1.275 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.509 0.514 0.539 0.597 0.551 -0.056 -1.331 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.771 0.745 0.699 0.727 0.747 0.056 -1.344 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00742 HG00742 1.994 1.814 1.761 1.707 1.399 1.263 2.643 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.771 1.68 1.66 1.61 1.347 1.351 2.674 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.403 1.397 1.386 1.307 1.029 1.339 2.715 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.161 1.171 1.157 1.098 0.905 1.234 2.725 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00743 HG00743 -0.114 0.134 0.391 0.677 0.832 0.807 0.746 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.099 0.201 0.35 0.586 0.697 0.729 0.742 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.352 0.379 0.452 0.543 0.582 0.72 0.733 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.412 0.416 0.411 0.512 0.452 0.713 0.73 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01047 HG01047 1.441 1.456 1.516 1.61 1.432 1.294 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.171 1.191 1.267 1.341 1.293 1.315 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.795 0.769 0.762 0.796 0.906 1.191 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.612 0.577 0.547 0.583 0.655 1.086 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01048 HG01048 0.407 0.525 0.758 1.014 1.519 1.559 2.238 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.629 0.738 0.829 1.025 1.431 1.565 2.315 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.849 0.851 0.84 0.861 1.006 1.345 2.417 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.985 0.933 0.914 0.881 0.831 1.161 2.443 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01049 HG01049 0.2 -0.05 -0.134 -0.383 -0.567 -0.458 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.202 0.061 -0.141 -0.506 -0.605 -0.457 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.018 -0.132 -0.371 -0.72 -0.882 -0.496 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.264 -0.342 -0.54 -0.872 -1.061 -0.517 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01051 HG01051 0.241 0.286 0.377 0.744 1.339 1.417 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.307 0.34 0.443 0.684 1.249 1.482 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.083 0.071 0.037 0.104 0.612 1.374 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.227 -0.266 -0.348 -0.4 0.07 1.288 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01052 HG01052 1.293 1.158 1.002 0.854 0.76 0.822 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.944 0.885 0.8 0.75 0.663 0.852 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.556 0.542 0.58 0.729 0.698 0.741 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.527 0.543 0.63 0.82 0.898 0.728 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01054 HG01054 1.252 1.061 1.229 1.497 1.659 2.051 1.701 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.306 1.244 1.343 1.709 1.837 2.144 1.686 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.18 1.234 1.301 1.508 1.913 2.289 1.665 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.999 1.097 1.199 1.312 1.803 2.302 1.659 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01055 HG01055 0.309 0.067 -0.094 -0.291 -0.282 0.072 0.178 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.039 -0.079 -0.191 -0.361 -0.368 0.046 0.216 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.639 -0.644 -0.658 -0.562 -0.44 0.06 0.265 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.047 -0.961 -0.844 -0.653 -0.526 0.104 0.277 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01058 HG01058 -0.747 -1.042 -1.249 -1.299 -0.848 0.113 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.898 -0.999 -1.157 -1.25 -0.798 0.123 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.894 -0.898 -0.908 -0.958 -0.818 -0.044 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.772 -0.827 -0.8 -0.799 -0.792 -0.103 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01060 HG01060 0.278 0.378 0.467 0.444 0.238 -0.054 0.563 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.05 0.173 0.222 0.301 0.206 -0.089 0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.152 -0.121 -0.107 -0.084 -0.161 -0.107 0.729 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.328 -0.334 -0.363 -0.395 -0.46 -0.181 0.753 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01061 HG01061 1.285 1.189 1.028 0.536 -0.018 -0.087 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.043 0.982 0.841 0.465 0.036 0.037 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.954 0.94 0.779 0.548 0.101 0.103 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.785 0.807 0.781 0.632 0.23 0.051 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01063 HG01063 1.593 1.565 1.239 0.914 0.626 0.37 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.682 1.605 1.383 1.086 0.879 0.582 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.57 1.536 1.433 1.325 1.195 0.828 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.235 1.245 1.236 1.24 1.193 0.917 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01064 HG01064 1.144 1.137 1.13 1.09 1.194 1.046 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.909 0.909 0.887 0.903 1.097 1.169 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.633 0.616 0.569 0.54 0.801 1.154 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.559 0.544 0.49 0.461 0.684 1.068 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01066 HG01066 -0.87 -0.872 -0.792 -0.584 -0.396 -0.596 -0.947 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.086 -1.077 -0.955 -0.774 -0.511 -0.563 -0.88 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.157 -1.138 -1.076 -0.941 -0.768 -0.498 -0.789 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.972 -0.988 -1.002 -0.933 -0.811 -0.525 -0.766 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01067 HG01067 2.339 2.309 2.322 2.303 1.996 1.549 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.537 2.452 2.362 2.215 2.003 1.613 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.644 2.54 2.421 2.302 2.083 1.589 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.58 2.47 2.346 2.265 2.078 1.593 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01069 HG01069 0.416 0.314 0.232 0.145 0.024 -0.979 -1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.285 0.23 0.153 0.102 -0.02 -0.922 -1.214 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.366 0.347 0.266 0.183 -0.168 -0.862 -1.129 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.499 0.469 0.389 0.255 -0.169 -0.881 -1.107 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01070 HG01070 0.943 0.98 0.901 0.645 0.188 -0.528 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.097 1.118 0.987 0.814 0.437 -0.288 -1.275 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.362 1.322 1.281 1.135 0.822 -0.045 -1.331 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.417 1.349 1.309 1.235 0.946 0.039 -1.344 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01072 HG01072 1.7 1.857 1.987 2.317 2.746 2.671 1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.777 1.916 2.078 2.403 2.774 2.698 1.327 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.081 2.162 2.314 2.525 2.799 2.781 1.367 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.367 2.416 2.516 2.636 2.821 2.758 1.376 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01073 HG01073 -0.817 -0.538 -0.245 -0.064 -0.09 -0.192 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.625 -0.458 -0.25 -0.123 -0.167 -0.163 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.023 0.049 0.082 0.15 -0.089 -0.097 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.507 0.453 0.345 0.288 -0.013 -0.064 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01075 HG01075 -0.375 -0.272 -0.129 -0.054 -0.036 -0.169 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.331 -0.282 -0.173 -0.156 -0.165 -0.158 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.449 -0.429 -0.405 -0.379 -0.338 -0.119 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.619 -0.614 -0.619 -0.553 -0.5 -0.105 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01077 HG01077 -0.958 -0.868 -0.786 -0.586 -0.278 -0.175 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.904 -0.862 -0.881 -0.698 -0.374 -0.321 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.612 -0.604 -0.62 -0.731 -0.556 -0.345 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.413 -0.421 -0.43 -0.581 -0.645 -0.343 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01079 HG01079 0.354 0.234 0.123 -0.268 -0.503 -0.358 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.382 0.249 0.115 -0.163 -0.378 -0.235 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.069 0.069 0.034 -0.082 -0.256 -0.155 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.308 -0.266 -0.187 -0.115 -0.265 -0.13 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01080 HG01080 -0.837 -0.701 -0.789 -0.88 -0.845 -0.82 -0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.683 -0.637 -0.685 -0.694 -0.605 -0.763 -0.287 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.262 -0.269 -0.272 -0.224 -0.17 -0.568 -0.28 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.061 0.061 0.09 0.087 0.064 -0.482 -0.278 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01082 HG01082 -0.716 -0.928 -1.116 -1.229 -1.32 -0.964 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.766 -1.02 -1.182 -1.237 -1.295 -0.987 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.671 -0.853 -1.085 -1.301 -1.338 -0.802 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.721 -0.818 -0.983 -1.248 -1.467 -0.738 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01083 HG01083 2.109 1.977 1.697 1.463 1.405 1.312 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.933 1.827 1.625 1.498 1.474 1.234 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.558 1.481 1.364 1.319 1.326 1.269 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.296 1.297 1.281 1.244 1.204 1.225 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01087 HG01087 0.424 0.454 0.567 0.564 0.317 -0.01 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.593 0.595 0.626 0.65 0.561 0.061 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.555 0.531 0.539 0.53 0.815 0.195 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.559 0.516 0.507 0.423 0.775 0.263 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01088 HG01088 -1.687 -1.959 -2.019 -2.331 -3.043 -4.048 -3.791 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.461 -1.615 -1.894 -2.151 -2.646 -3.881 -3.774 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.146 -1.215 -1.4 -1.747 -2.189 -3.455 -3.743 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.036 -1.087 -1.208 -1.461 -2.009 -3.33 -3.734 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01089 HG01089 0.049 -0.141 -0.327 -0.547 -0.812 -1.674 -1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.059 -0.021 -0.078 -0.31 -0.768 -1.628 -1.214 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.145 -0.147 -0.114 -0.237 -0.804 -1.699 -1.129 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.211 -0.286 -0.338 -0.365 -0.89 -1.76 -1.107 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01092 HG01092 0.12 0.271 0.365 0.516 0.567 0.2 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.15 0.271 0.337 0.438 0.409 0.074 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.221 0.26 0.339 0.38 0.322 -0.042 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.212 0.242 0.322 0.453 0.33 -0.049 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01095 HG01095 0.696 0.752 0.598 0.157 -0.662 -1.366 -1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.721 0.647 0.51 0.008 -0.603 -1.338 -1.214 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.63 0.521 0.332 -0.044 -0.761 -1.246 -1.129 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.664 0.572 0.375 -0.012 -0.79 -1.313 -1.107 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01097 HG01097 1.045 0.872 0.705 0.575 0.388 -0.45 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.783 0.661 0.5 0.368 0.405 -0.309 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.468 0.406 0.262 0.002 0.072 -0.181 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.074 0.009 -0.105 -0.342 -0.3 -0.198 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01098 HG01098 1.02 1.153 1.111 1.008 1.109 0.255 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.145 1.199 1.094 1.101 1.162 0.391 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.488 1.447 1.377 1.358 1.3 0.624 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.498 1.462 1.414 1.4 1.36 0.692 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01101 HG01101 0.116 0.078 -0.151 -0.285 -0.407 -0.16 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.073 -0.012 -0.214 -0.451 -0.541 -0.198 -0.354 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.155 0.1 -0.01 -0.203 -0.454 -0.358 -0.321 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.212 0.162 0.123 0.018 -0.199 -0.351 -0.313 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01102 HG01102 -0.813 -0.817 -0.765 -0.792 -0.935 -1.67 -1.8 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.544 -0.47 -0.499 -0.557 -0.771 -1.74 -1.801 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.307 0.365 0.358 0.215 -0.282 -1.585 -1.798 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.719 0.766 0.779 0.639 0.148 -1.534 -1.797 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01104 HG01104 -0.273 -0.371 -0.397 -0.368 -0.368 -0.798 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.146 -0.218 -0.279 -0.244 -0.207 -0.609 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.153 0.078 0.009 -0.05 -0.121 -0.373 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.13 0.09 0.062 0.072 -0.119 -0.332 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01105 HG01105 0.256 0.342 0.517 0.691 1.032 0.583 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.506 0.591 0.66 0.775 1.012 0.72 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.801 0.848 0.862 0.951 1.059 0.898 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.666 0.692 0.741 0.822 1.01 0.941 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01107 HG01107 1.219 1.273 1.557 1.809 2.064 2.049 2.807 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.229 1.314 1.534 1.782 1.924 2.112 2.841 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.054 1.087 1.164 1.337 1.477 1.973 2.885 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.994 0.965 1.005 1.107 1.218 1.864 2.896 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01108 HG01108 0.305 0.113 0.063 0.157 0.074 -0.427 0.399 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.113 0.048 -0.004 0.046 0.048 -0.415 0.467 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.327 -0.362 -0.39 -0.495 -0.331 -0.657 0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.566 -0.603 -0.692 -0.744 -0.634 -0.827 0.583 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01110 HG01110 0.903 0.725 0.608 0.487 0.236 0.275 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.543 0.472 0.476 0.483 0.361 0.371 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.027 -0.008 -0.035 -0.045 0.173 0.348 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.219 -0.268 -0.254 -0.233 -0.076 0.28 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01111 HG01111 1.198 1.441 1.58 1.648 1.615 1.209 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.361 1.456 1.576 1.69 1.689 1.507 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.326 1.398 1.451 1.561 1.8 1.889 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.129 1.224 1.35 1.428 1.701 1.987 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01112 HG01112 1.728 1.826 1.956 2.118 2.38 2.357 2.017 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.85 1.905 1.911 2.071 2.252 2.415 2.063 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.193 2.209 2.22 2.297 2.257 2.398 2.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.48 2.457 2.427 2.449 2.368 2.357 2.137 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01119 HG01119 -0.336 -0.345 -0.298 -0.201 -0.022 0.078 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.404 -0.421 -0.445 -0.295 -0.122 0.173 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.519 -0.503 -0.574 -0.559 -0.389 0.392 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.68 -0.706 -0.721 -0.773 -0.699 0.45 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01121 HG01121 1.258 1.072 0.719 0.54 0.437 0.089 0.279 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.353 1.202 0.982 0.835 0.746 0.298 0.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.241 1.121 0.969 0.75 0.863 0.596 0.188 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.852 0.792 0.681 0.503 0.642 0.671 0.175 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01122 HG01122 -0.631 -0.491 -0.34 -0.083 0.404 1.016 1.55 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.466 -0.343 -0.24 0.032 0.403 1.144 1.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.358 -0.37 -0.39 -0.315 0.173 1.035 1.578 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.452 -0.461 -0.494 -0.434 -0.052 0.947 1.582 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01124 HG01124 2.238 2.167 2.019 1.789 1.305 0.599 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.237 2.212 2.148 1.893 1.461 0.799 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.077 2.091 2.121 2.118 1.644 1.059 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.916 1.95 2.026 2.1 1.781 1.115 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01125 HG01125 1.405 1.575 1.818 1.925 1.747 0.932 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.688 1.824 1.972 1.989 1.721 1.016 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.113 2.138 2.186 2.149 1.672 0.952 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.424 2.35 2.237 2.091 1.691 0.877 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01130 HG01130 0.2 0.201 0.348 0.436 0.608 1.011 1.852 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.239 0.295 0.353 0.359 0.536 0.897 1.896 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.245 0.241 0.192 0.063 0.232 0.943 1.953 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.01 0.032 0.015 -0.15 0.048 0.933 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01131 HG01131 0.372 0.105 -0.102 -0.24 -0.32 -0.462 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.404 0.264 0.131 -0.04 -0.137 -0.318 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.537 0.506 0.407 0.224 0.008 -0.051 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.52 0.527 0.457 0.319 0.059 -0.037 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01133 HG01133 0.652 0.629 0.702 0.888 1.274 2.088 3.212 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.668 0.631 0.762 0.989 1.267 2.232 3.2 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.43 0.43 0.511 0.707 1.042 2.103 3.183 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.164 0.151 0.174 0.312 0.725 2.008 3.178 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01134 HG01134 -0.075 -0.1 -0.041 -0.117 -0.097 -0.05 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.08 0.15 0.177 0.138 0.144 0.071 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.367 0.395 0.358 0.263 0.283 0.206 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.646 0.573 0.472 0.295 0.236 0.237 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01136 HG01136 0.023 -0.107 -0.187 -0.208 -0.112 0.285 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.169 -0.224 -0.335 -0.345 -0.171 0.3 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.366 -0.383 -0.482 -0.533 -0.374 0.436 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.541 -0.597 -0.674 -0.782 -0.672 0.478 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01138 HG01138 -1.124 -1.178 -1.294 -1.27 -0.789 -0.099 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.272 -1.294 -1.39 -1.305 -0.849 0.022 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.357 -1.367 -1.475 -1.523 -1.121 0.103 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.449 -1.5 -1.584 -1.66 -1.352 0.111 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01139 HG01139 -0.699 -0.482 -0.406 -0.238 0.186 1.079 1.701 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.758 -0.668 -0.611 -0.463 -0.076 1.066 1.686 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.855 -0.788 -0.784 -0.76 -0.438 0.989 1.665 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.026 -0.996 -0.958 -0.933 -0.666 0.964 1.659 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01140 HG01140 -1.206 -1.362 -1.704 -1.899 -2.023 -1.37 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.429 -1.558 -1.794 -2.016 -1.999 -1.461 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.598 -1.695 -1.834 -2.07 -2.065 -1.531 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.579 -1.629 -1.724 -1.926 -2.115 -1.586 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01142 HG01142 0.826 0.969 1.121 1.16 1.159 0.446 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.972 1.003 1.074 1.147 1.299 0.63 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.165 1.161 1.166 1.162 1.427 0.914 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.191 1.194 1.214 1.204 1.344 1.005 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01148 HG01148 0.605 0.232 -0.063 -0.236 -0.508 -0.747 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.441 0.251 0.007 -0.13 -0.367 -0.546 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.413 -0.494 -0.608 -0.686 -0.625 -0.359 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.033 -1.07 -1.137 -1.149 -0.885 -0.383 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01149 HG01149 0.757 0.828 0.739 0.513 0.358 -0.11 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.63 0.615 0.497 0.242 0.252 -0.008 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.439 0.413 0.349 0.308 0.184 -0.024 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.374 0.339 0.265 0.254 0.262 0.005 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01161 HG01161 0.638 0.658 0.651 0.541 0.472 -0.162 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.68 0.694 0.721 0.614 0.595 -0.001 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.645 0.662 0.628 0.507 0.623 0.151 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.241 0.273 0.267 0.234 0.459 0.147 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01162 HG01162 -0.235 -0.196 -0.36 -0.711 -0.887 -0.63 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.222 -0.225 -0.416 -0.737 -0.821 -0.607 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.142 -0.156 -0.241 -0.356 -0.55 -0.651 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.131 -0.128 -0.09 -0.119 -0.332 -0.633 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01164 HG01164 0.86 0.924 0.861 0.797 0.444 -0.113 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.025 1.038 0.984 0.919 0.707 0.009 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.216 1.206 1.182 1.13 0.999 0.21 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.215 1.239 1.289 1.251 1.186 0.249 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01167 HG01167 0.037 -0.007 0.115 0.267 0.443 0.281 -0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.131 0.232 0.331 0.472 0.53 0.475 -0.12 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.596 0.685 0.771 0.787 0.769 0.599 -0.11 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.838 0.854 0.834 0.829 0.83 0.64 -0.107 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01168 HG01168 -0.124 -0.367 -0.416 -0.526 -0.837 -1.467 -1.965 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.024 -0.073 -0.187 -0.142 -0.411 -1.315 -1.968 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.141 0.126 0.063 -0.068 -0.097 -0.851 -1.968 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.122 0.181 0.171 -0.004 -0.048 -0.744 -1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01170 HG01170 -0.679 -0.669 -0.717 -0.817 -0.853 -0.613 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.63 -0.675 -0.757 -0.807 -0.762 -0.654 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.438 -0.478 -0.55 -0.706 -0.647 -0.751 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.288 -0.333 -0.411 -0.527 -0.564 -0.751 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01171 HG01171 -1.285 -1.492 -1.66 -1.766 -1.985 -3.189 -3.222 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.212 -1.351 -1.568 -1.554 -1.643 -2.857 -3.248 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.661 -0.732 -0.913 -1.051 -1.164 -2.29 -3.275 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.532 -0.564 -0.591 -0.68 -0.893 -2.132 -3.281 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01173 HG01173 0.938 0.893 0.868 1.262 1.729 1.589 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.06 1.097 1.168 1.518 1.887 1.692 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.186 1.248 1.426 1.709 2.078 1.837 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.183 1.241 1.391 1.653 2.088 1.893 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01174 HG01174 1.414 1.245 1.043 0.766 0.325 -0.534 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.517 1.451 1.331 0.991 0.529 -0.309 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.675 1.643 1.585 1.47 0.78 0.185 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.649 1.641 1.603 1.509 0.884 0.342 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01176 HG01176 -0.771 -0.75 -0.792 -0.769 -0.895 -2.399 -2.369 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.302 -0.315 -0.51 -0.55 -0.853 -2.288 -2.327 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.136 -0.187 -0.323 -0.483 -0.932 -2.195 -2.266 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.22 -0.267 -0.305 -0.361 -0.767 -2.26 -2.25 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01177 HG01177 0.629 0.871 1.192 1.565 1.802 1.52 0.911 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.028 1.114 1.296 1.604 1.754 1.414 0.909 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.124 1.182 1.347 1.559 1.735 1.242 0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.09 1.16 1.296 1.526 1.709 1.225 0.9 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01182 HG01182 0.189 0.214 0.325 0.109 -0.435 -1.223 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.385 0.479 0.479 0.279 -0.243 -1.055 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.596 0.623 0.612 0.524 -0.062 -0.728 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.561 0.566 0.482 0.456 -0.033 -0.683 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01183 HG01183 0.357 0.387 0.552 0.869 1.531 1.744 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.361 0.497 0.67 1.046 1.727 1.904 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA 1 1.08 1.212 1.461 2.101 2.233 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.329 1.395 1.517 1.715 2.265 2.359 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01187 HG01187 0.95 0.722 0.426 0.016 -0.295 -0.485 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.582 0.473 0.271 -0.05 -0.242 -0.436 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.342 0.337 0.316 0.177 0.022 -0.294 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.282 0.341 0.437 0.464 0.309 -0.23 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01188 HG01188 0.972 0.949 0.896 0.938 0.89 0.52 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.93 0.937 0.921 0.956 1.048 0.697 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.932 0.933 0.957 0.903 1.054 0.926 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.95 0.954 0.991 0.921 0.991 0.933 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01190 HG01190 -1.297 -1.265 -1.345 -1.386 -1.6 -2.332 -2.369 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.93 -0.971 -1.057 -1.124 -1.333 -2.356 -2.327 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.385 -0.432 -0.476 -0.663 -1.06 -2.288 -2.266 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.002 -0.038 -0.113 -0.284 -0.822 -2.349 -2.25 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01191 HG01191 -0.291 -0.079 0.237 0.446 0.522 0.375 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.016 0.113 0.308 0.535 0.612 0.419 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.425 0.483 0.625 0.674 0.714 0.387 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.732 0.76 0.87 0.91 0.828 0.382 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01197 HG01197 1.542 1.502 1.362 1.406 1.328 0.818 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.516 1.449 1.382 1.326 1.19 0.818 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.316 1.289 1.28 1.091 0.866 0.809 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.033 1.043 1.011 0.878 0.615 0.73 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01198 HG01198 2.21 2.448 2.453 2.215 1.638 0.357 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.532 2.576 2.465 2.128 1.725 0.467 -1.275 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.888 2.808 2.665 2.425 1.981 0.669 -1.331 NA NA NA NA NA NA NA NA NA NA NA NA NA 3.027 2.913 2.746 2.546 2.137 0.742 -1.344 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01200 HG01200 1.57 1.533 1.356 1.091 0.75 -0.058 -1.112 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.465 1.454 1.358 1.248 0.854 0.079 -1.047 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.54 1.544 1.548 1.546 1.23 0.281 -0.959 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.754 1.784 1.83 1.849 1.557 0.389 -0.936 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01204 HG01204 1.271 1.266 1.312 1.247 1.056 -0.054 -1.112 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.199 1.237 1.218 1.142 0.978 0 -1.047 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.088 1.049 0.97 0.937 0.791 -0.036 -0.959 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.241 1.169 1.019 0.909 0.681 -0.124 -0.936 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01205 HG01205 1.015 0.99 0.875 0.653 0.609 0.114 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.005 0.957 0.888 0.71 0.657 0.289 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.871 0.837 0.776 0.696 0.682 0.281 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.564 0.542 0.501 0.594 0.58 0.279 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01242 HG01242 0.087 -0.048 -0.156 -0.41 -0.624 -0.825 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.053 -0.081 -0.171 -0.441 -0.645 -0.799 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.291 -0.349 -0.395 -0.512 -0.749 -0.797 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.465 -0.51 -0.538 -0.574 -0.808 -0.835 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01248 HG01248 -0.386 -0.48 -0.471 -0.545 -0.452 -0.715 0.563 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.484 -0.52 -0.558 -0.536 -0.404 -0.56 0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.423 -0.459 -0.535 -0.488 -0.48 -0.467 0.729 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.013 -0.139 -0.255 -0.314 -0.292 -0.56 0.753 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01250 HG01250 0.189 0.172 0.201 0.228 0.511 0.846 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.133 0.172 0.147 0.241 0.491 0.907 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.129 0.148 0.166 0.223 0.504 0.885 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.033 0.052 0.102 0.162 0.488 0.876 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01251 HG01251 -0.926 -0.865 -0.836 -0.573 -0.465 -0.882 -1.396 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.898 -0.806 -0.738 -0.423 -0.172 -0.664 -1.442 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.569 -0.499 -0.446 -0.444 -0.138 -0.099 -1.5 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.478 -0.406 -0.361 -0.391 -0.255 0.067 -1.514 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01253 HG01253 0.982 1.114 1.145 1.07 1.118 1.033 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.922 1.044 1.071 1.009 0.967 0.918 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.815 0.882 0.928 0.993 0.896 0.742 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.572 0.605 0.63 0.708 0.792 0.685 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01257 HG01257 0.459 0.581 0.799 1.201 1.532 1.12 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.808 0.907 1.012 1.263 1.423 1.157 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.315 1.315 1.343 1.32 1.175 1.012 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.435 1.414 1.4 1.341 1.164 0.904 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01259 HG01259 2.054 2.133 2.095 1.726 1.006 -0.234 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.043 2.051 1.975 1.609 1.032 -0.099 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.081 2.039 1.986 1.658 0.955 0.186 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.249 2.162 1.997 1.648 1.021 0.224 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01260 HG01260 0.021 -0.007 -0.03 0.044 0.02 -0.873 -0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.131 0.124 0.111 0.076 0.063 -0.647 -0.287 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.131 0.109 0.083 0.033 -0.002 -0.382 -0.28 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.127 -0.143 -0.165 -0.152 -0.122 -0.36 -0.278 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01269 HG01269 0.127 -0.229 -0.695 -1.249 -1.952 -2.244 -2.369 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.026 -0.289 -0.644 -1.117 -1.684 -2.14 -2.327 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.405 -0.498 -0.671 -0.962 -1.475 -1.915 -2.266 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.6 -0.656 -0.73 -0.896 -1.443 -1.878 -2.25 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01271 HG01271 -0.404 -0.469 -0.6 -0.449 -0.191 -0.456 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.279 -0.33 -0.407 -0.234 0.063 -0.152 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.135 -0.127 -0.141 -0.088 0.24 0.352 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.168 -0.147 -0.121 -0.108 0.211 0.485 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01272 HG01272 -1.442 -1.362 -1.447 -1.762 -2.083 -2.672 -1.965 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.164 -1.209 -1.443 -1.766 -2.062 -2.703 -1.968 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.977 -0.999 -1.166 -1.55 -2.1 -2.577 -1.968 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.103 -1.169 -1.284 -1.493 -2.081 -2.576 -1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01274 HG01274 -0.653 -0.976 -1.281 -1.415 -1.134 -0.36 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.737 -0.905 -1.191 -1.295 -0.958 -0.19 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.214 -1.314 -1.532 -1.67 -1.199 -0.065 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.471 -1.585 -1.764 -1.989 -1.508 -0.053 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01275 HG01275 1.747 1.881 1.989 2.066 2.01 2.201 1.701 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.773 1.81 1.847 1.877 1.863 2.196 1.686 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.72 1.686 1.652 1.684 1.725 2.184 1.665 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.631 1.615 1.632 1.721 1.724 2.197 1.659 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01277 HG01277 -1.314 -1.177 -1.011 -0.603 0.039 0.853 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.124 -1.002 -0.774 -0.436 0.005 0.772 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.853 -0.745 -0.585 -0.301 -0.016 0.574 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.726 -0.624 -0.451 -0.273 -0.006 0.531 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01279 HG01279 -1.444 -1.26 -1.092 -0.525 0.743 2.201 3.212 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.315 -1.174 -0.867 -0.387 0.687 2.293 3.2 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.99 -0.902 -0.778 -0.425 0.514 2.047 3.183 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.809 -0.721 -0.543 -0.323 0.431 1.966 3.178 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01280 HG01280 0.116 0.052 0.177 0.431 0.761 0.728 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.325 0.308 0.392 0.594 0.77 0.747 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.481 0.539 0.621 0.683 0.722 0.737 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.646 0.693 0.754 0.789 0.872 0.731 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01281 HG01281 -1.381 -1.377 -1.298 -1.078 -0.679 0.087 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.577 -1.47 -1.266 -0.873 -0.513 0.052 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.393 -1.31 -1.137 -0.886 -0.474 -0.11 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.972 -0.954 -0.9 -0.782 -0.456 -0.206 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01284 HG01284 1.662 1.556 1.647 1.518 1.244 0.576 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.605 1.615 1.69 1.545 1.363 0.745 -0.354 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.83 1.819 1.83 1.8 1.574 0.945 -0.321 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.026 1.988 1.92 1.858 1.752 0.962 -0.313 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01286 HG01286 0.153 0.025 -0.072 -0.118 -0.341 -0.627 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.006 -0.058 -0.1 -0.105 -0.355 -0.496 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.02 -0.013 -0.014 -0.102 -0.492 -0.506 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.103 0.09 0.03 -0.04 -0.465 -0.558 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01302 HG01302 2.226 2.316 2.265 2.194 2.433 2.314 1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.081 2.123 2.022 1.958 2.29 2.301 1.327 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.082 2.043 1.964 1.895 2.082 2.225 1.367 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.201 2.197 2.21 2.156 2.177 2.175 1.376 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01303 HG01303 2.29 2.403 2.631 2.753 2.53 2.358 2.643 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.236 2.32 2.561 2.662 2.512 2.415 2.674 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.049 2.107 2.242 2.319 2.33 2.419 2.715 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.933 2.011 2.099 2.133 2.181 2.37 2.725 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01305 HG01305 1.846 1.892 1.9 1.808 1.818 1.043 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.916 1.867 1.845 1.744 1.796 1.135 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.569 1.554 1.447 1.384 1.496 1.272 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.192 1.213 1.202 1.11 1.257 1.25 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01312 HG01312 1.137 1.097 0.92 0.831 0.76 0.353 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.95 0.883 0.793 0.738 0.821 0.517 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.437 0.394 0.292 0.238 0.458 0.658 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.039 -0.041 -0.117 -0.183 0.103 0.606 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01323 HG01323 1.699 1.895 1.975 2.056 1.855 1.224 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.049 2.107 2.119 2.073 1.907 1.188 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.04 2.002 2.016 2.001 1.915 1.34 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.866 1.868 1.823 1.763 1.756 1.387 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01326 HG01326 0.879 0.916 1.053 0.967 0.894 1.035 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.862 0.861 0.901 0.822 0.815 1.058 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.66 0.67 0.717 0.786 0.778 1.149 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.581 0.626 0.736 0.883 0.849 1.19 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01348 HG01348 -0.12 -0.078 0.041 0.16 -0.056 0.123 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.041 0.071 0.126 0.137 0.022 0.334 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.135 0.135 0.091 0.134 0.097 0.595 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.028 0.045 0.057 0.066 0.098 0.655 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01351 HG01351 1.235 1.223 1.245 1.124 0.898 0.416 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.224 1.183 1.17 1.11 1.079 0.55 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.333 1.325 1.325 1.351 1.401 0.796 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.43 1.451 1.479 1.492 1.558 0.891 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01352 HG01352 -0.362 -0.336 -0.28 -0.332 -0.318 -0.525 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.346 -0.311 -0.301 -0.415 -0.248 -0.518 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.305 -0.342 -0.389 -0.479 -0.23 -0.362 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.401 -0.346 -0.35 -0.449 -0.341 -0.28 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01353 HG01353 -0.146 -0.025 0.074 0.089 0.225 0.091 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.113 -0.078 0.018 0.145 0.276 0.152 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.087 0.106 0.112 0.273 0.441 0.363 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.144 0.183 0.222 0.346 0.551 0.435 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01354 HG01354 0.704 0.787 0.702 0.693 0.82 1.204 1.55 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.852 0.902 0.815 0.759 0.768 1.304 1.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.028 0.99 0.898 0.827 0.669 1.212 1.578 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.173 1.129 1.032 0.985 0.729 1.128 1.582 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01356 HG01356 0.131 0.15 0.176 0.126 0.132 0.206 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.364 -0.315 -0.224 -0.043 0.095 0.301 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.064 -1.019 -1.012 -0.863 -0.498 0.284 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.536 -1.404 -1.271 -1.181 -0.902 0.176 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01357 HG01357 1.848 2.073 2.234 2.034 1.778 1.231 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.827 1.979 2.086 1.917 1.665 1.213 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.571 1.605 1.565 1.54 1.541 1.175 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.178 1.268 1.286 1.342 1.385 1.178 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01359 HG01359 -0.564 -0.381 -0.29 -0.279 -0.351 -0.394 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.5 -0.367 -0.332 -0.275 -0.299 -0.258 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.502 -0.464 -0.449 -0.482 -0.379 -0.175 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.731 -0.685 -0.62 -0.639 -0.612 -0.121 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01360 HG01360 1.12 1.142 1.19 1.367 1.723 1.71 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.196 1.269 1.334 1.422 1.773 1.643 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.474 1.453 1.469 1.549 2.002 1.832 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.747 1.725 1.692 1.737 2.096 1.938 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01362 HG01362 -0.271 -0.27 -0.321 -0.441 0.037 0.917 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.416 -0.449 -0.488 -0.523 -0.131 0.832 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.375 -0.345 -0.333 -0.332 -0.134 0.541 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.216 -0.169 -0.096 0.007 0.081 0.48 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01363 HG01363 0.982 0.893 0.843 0.778 0.4 -0.691 -1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.975 0.931 0.962 0.759 0.33 -0.651 -1.214 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.862 0.84 0.819 0.629 0.223 -0.709 -1.129 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.848 0.81 0.715 0.617 0.154 -0.748 -1.107 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01365 HG01365 0.043 0.291 0.561 0.872 0.969 0.928 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.054 0.056 0.324 0.757 0.873 0.721 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.251 -0.174 0.056 0.443 0.843 0.546 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.095 -0.068 0.059 0.308 0.824 0.53 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01369 HG01369 0.122 0.109 0.17 0.166 -0.175 -0.265 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.057 0.036 0.116 0.041 -0.266 -0.317 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.078 -0.106 -0.092 -0.075 -0.315 -0.436 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.253 -0.222 -0.214 -0.118 -0.225 -0.444 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01372 HG01372 1.589 1.586 1.601 1.522 1.352 0.481 -0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.652 1.667 1.737 1.686 1.474 0.682 -0.287 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.807 1.861 1.945 1.908 1.719 0.838 -0.28 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.94 1.979 1.988 1.999 1.754 0.842 -0.278 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01374 HG01374 0.673 0.767 0.785 0.853 0.883 0.313 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.648 0.688 0.779 0.86 0.915 0.522 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.608 0.642 0.67 0.636 0.693 0.691 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.286 0.313 0.336 0.346 0.419 0.7 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01375 HG01375 0.207 0.33 0.538 0.712 1.058 1.23 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.248 0.343 0.534 0.671 0.777 1.202 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.145 0.171 0.264 0.323 0.351 0.922 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.141 -0.129 -0.099 0.011 0.037 0.828 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01377 HG01377 0.433 0.337 0.129 -0.226 -0.447 -0.638 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.377 0.222 -0.027 -0.317 -0.535 -0.597 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.013 -0.118 -0.224 -0.368 -0.573 -0.535 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.228 -0.3 -0.322 -0.441 -0.618 -0.522 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01378 HG01378 1.287 1.402 1.286 1.063 1.012 1.306 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.221 1.227 1.109 0.922 0.818 1.228 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.66 0.631 0.579 0.542 0.435 1.065 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.263 0.278 0.319 0.348 0.252 1.004 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01383 HG01383 0.484 0.352 0.287 0.263 0.271 -0.36 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.765 0.678 0.626 0.48 0.344 -0.321 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.091 1.092 1.061 0.931 0.624 -0.337 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.252 1.286 1.311 1.242 0.897 -0.306 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01384 HG01384 0.532 0.585 0.5 0.312 0.511 1.024 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.412 0.441 0.393 0.348 0.537 1.21 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.259 0.241 0.155 0.11 0.359 1.253 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.149 0.125 0.115 0.063 0.183 1.251 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01390 HG01390 -0.781 -0.746 -0.659 -0.549 -0.283 -0.378 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.53 -0.531 -0.485 -0.512 -0.378 -0.38 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.234 -0.202 -0.21 -0.349 -0.485 -0.42 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.094 -0.098 -0.168 -0.328 -0.433 -0.475 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01392 HG01392 0.613 0.563 0.432 0.337 0.222 0.082 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.576 0.509 0.319 0.096 0.066 0.003 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.491 0.438 0.291 0.065 -0.172 -0.086 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.526 0.466 0.333 0.108 -0.207 -0.17 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01393 HG01393 0.662 0.44 -0.045 -0.56 -1.266 -1.772 -1.8 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.563 0.447 0.123 -0.281 -0.83 -1.529 -1.801 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.616 0.562 0.396 0.102 -0.224 -1.164 -1.798 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.765 0.722 0.602 0.35 0.004 -1.068 -1.797 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01395 HG01395 1.197 1.076 0.887 0.515 0.269 0.001 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.914 0.87 0.701 0.381 0.247 0.021 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.37 0.371 0.256 0.022 0.125 0.111 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.07 -0.027 -0.06 -0.24 -0.056 0.142 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01396 HG01396 0.097 0.006 -0.114 -0.404 -1.145 -2.211 -2.369 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.372 0.222 -0.103 -0.78 -2.03 -2.327 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.886 0.777 0.659 0.309 -0.378 -1.521 -2.266 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.158 1.052 0.878 0.609 -0.153 -1.372 -2.25 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01398 HG01398 1.354 1.26 1.128 0.93 0.734 -0.093 0.399 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.371 1.343 1.202 1.005 0.667 -0.09 0.467 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.555 1.54 1.418 1.155 0.554 -0.219 0.559 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.732 1.688 1.555 1.267 0.614 -0.317 0.583 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01402 HG01402 0.586 0.286 -0.094 -0.219 -0.305 -0.63 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.39 0.086 -0.229 -0.385 -0.447 -0.767 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.106 -0.229 -0.411 -0.639 -0.649 -0.861 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.434 -0.482 -0.626 -0.797 -0.831 -0.895 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01405 HG01405 0.272 0.129 -0.112 -0.403 -0.604 -1.297 -1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.165 0.071 -0.13 -0.38 -0.541 -1.174 -1.214 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.067 -0.097 -0.153 -0.233 -0.444 -1.1 -1.129 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.052 -0.044 -0.035 0.032 -0.209 -1.112 -1.107 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01412 HG01412 -0.073 0.14 0.337 0.406 0.402 -0.138 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.278 0.419 0.522 0.51 0.434 -0.19 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.65 0.657 0.66 0.565 0.536 -0.111 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.546 0.547 0.546 0.511 0.499 -0.096 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01413 HG01413 1.463 1.497 1.636 1.835 2.176 1.693 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.499 1.548 1.667 1.9 2.2 1.829 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.037 1.123 1.209 1.386 1.83 1.997 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.727 0.81 0.899 0.989 1.406 1.999 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01431 HG01431 1.561 1.712 1.936 2.405 2.648 2.695 1.865 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.82 1.958 2.16 2.51 2.606 2.793 1.853 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.211 2.32 2.441 2.66 2.68 2.757 1.834 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.476 2.522 2.547 2.651 2.791 2.746 1.829 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01432 HG01432 -0.978 -1.092 -1.207 -1.367 -1.436 -0.668 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.914 -1.058 -1.193 -1.346 -1.303 -0.559 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.815 -0.879 -0.993 -1.181 -1.299 -0.513 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.779 -0.893 -0.979 -1.067 -1.253 -0.545 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01435 HG01435 -0.231 -0.198 -0.106 0.021 -0.305 -0.229 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.299 -0.236 -0.144 -0.183 -0.428 -0.304 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.558 -0.547 -0.492 -0.465 -0.634 -0.318 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.921 -0.914 -0.9 -0.751 -0.833 -0.32 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01437 HG01437 2.559 2.837 2.923 3.068 3.286 3.492 3.376 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.438 2.579 2.607 2.752 3.066 3.465 3.367 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.132 2.119 2.144 2.295 2.702 3.345 3.353 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.886 1.871 1.892 1.991 2.457 3.29 3.349 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01438 HG01438 1.413 1.629 1.841 2.035 1.922 1.3 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.74 1.966 2.098 2.213 2.091 1.43 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.176 2.315 2.494 2.614 2.451 1.616 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.28 2.413 2.576 2.822 2.645 1.716 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01443 HG01443 0.456 0.492 0.533 0.702 0.988 0.911 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.28 0.314 0.37 0.581 0.902 0.869 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.33 0.362 0.417 0.511 0.944 1.026 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.682 0.702 0.712 0.746 0.92 1.119 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01444 HG01444 1.245 1.082 1.017 0.898 0.646 0.366 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.139 1.112 0.999 0.903 0.81 0.519 -0.354 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.959 0.962 0.949 0.924 0.969 0.767 -0.321 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.007 0.973 0.938 0.906 1.068 0.78 -0.313 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01459 HG01459 -0.042 -0.05 0.001 -0.102 0.087 0.327 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.098 -0.08 -0.126 -0.146 -0.084 0.401 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.106 -0.114 -0.074 -0.047 -0.23 0.177 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.028 -0.113 -0.091 -0.044 -0.225 0.053 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01462 HG01462 0.411 0.408 0.525 0.815 1.037 1.287 1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.4 0.428 0.534 0.744 0.878 1.089 1.327 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.487 0.523 0.604 0.837 0.937 0.865 1.367 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.728 0.736 0.786 0.954 1.165 0.842 1.376 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01464 HG01464 0.145 0.308 0.384 0.263 -0.182 -1.392 -1.8 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.448 0.55 0.54 0.425 -0.049 -1.4 -1.801 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.491 0.54 0.584 0.556 0.205 -1.175 -1.798 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.63 0.638 0.612 0.582 0.347 -1.121 -1.797 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01465 HG01465 2.312 2.483 2.505 2.14 1.413 0.5 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.495 2.558 2.448 2.087 1.522 0.638 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.191 2.183 2.091 1.947 1.702 0.889 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.873 1.913 1.879 1.79 1.749 0.973 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01474 HG01474 1.27 1.316 1.428 1.698 1.769 1.6 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.228 1.32 1.451 1.755 1.807 1.742 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.098 1.14 1.243 1.449 1.665 1.909 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.994 1.045 1.137 1.27 1.468 1.889 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01488 HG01488 0.683 0.635 0.492 0.411 0.362 1.486 1.701 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.826 0.785 0.616 0.477 0.437 1.283 1.686 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.762 0.74 0.679 0.596 0.514 1.072 1.665 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.604 0.61 0.617 0.607 0.505 1.012 1.659 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02102 HG02102 0.205 0.378 0.442 0.404 0.119 0.331 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.036 0.109 0.22 0.241 0.045 0.265 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.099 -0.046 0.018 0.092 0.084 0.156 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.11 -0.07 0.043 0.108 0.208 0.157 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02298 HG02298 0.733 0.731 0.759 0.746 0.594 1.002 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.785 0.769 0.678 0.542 0.389 0.755 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.9 0.805 0.645 0.459 0.358 0.63 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.001 0.926 0.803 0.576 0.338 0.654 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02299 HG02299 -2.5 -2.617 -2.635 -2.622 -2.631 -1.627 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.573 -2.608 -2.623 -2.621 -2.62 -1.716 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.574 -2.623 -2.616 -2.637 -2.659 -1.93 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.393 -2.461 -2.553 -2.621 -2.626 -1.968 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02300 HG02300 0.092 -0.07 -0.235 -0.357 -0.587 -0.309 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.055 -0.157 -0.281 -0.418 -0.581 -0.398 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.012 -0.08 -0.174 -0.252 -0.275 -0.469 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.186 0.152 0.098 -0.019 -0.033 -0.426 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02301 HG02301 -0.888 -0.64 -0.614 -0.74 -0.732 -0.641 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.766 -0.657 -0.593 -0.608 -0.783 -0.811 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.438 -0.377 -0.355 -0.385 -0.715 -0.879 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.23 -0.228 -0.278 -0.343 -0.614 -0.855 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02303 HG02303 0.641 0.645 0.48 0.326 0.04 -0.192 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.625 0.575 0.433 0.324 -0.003 -0.279 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.772 0.733 0.6 0.473 0.231 -0.261 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.986 0.966 0.874 0.699 0.417 -0.187 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02304 HG02304 0.222 0.085 -0.138 -0.389 -1.146 -2.323 -2.369 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.117 0.019 -0.12 -0.277 -0.955 -2.273 -2.327 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.182 0.158 0.127 -0.061 -0.7 -2.099 -2.266 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.372 0.34 0.277 0.113 -0.512 -2.11 -2.25 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02312 HG02312 -0.434 -0.354 -0.457 -0.485 -0.444 -0.288 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.569 -0.553 -0.61 -0.664 -0.642 -0.489 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.979 -0.955 -0.932 -0.879 -0.698 -0.715 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.173 -1.083 -0.988 -0.861 -0.663 -0.742 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02345 HG02345 0.356 0.484 0.491 0.332 0.043 -0.178 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.448 0.498 0.467 0.332 0.131 -0.132 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.259 0.273 0.264 0.207 0.186 -0.102 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.041 0.056 0.138 0.126 0.154 -0.082 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02348 HG02348 -2.295 -2.189 -1.872 -1.811 -1.822 -0.946 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.294 -2.212 -1.977 -1.936 -1.845 -0.915 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.091 -2.08 -1.996 -2.03 -1.874 -1.034 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.098 -2.09 -2.06 -2.059 -1.892 -1.061 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02425 HG02425 0.14 0.179 0.379 0.419 0.217 0.068 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.141 0.199 0.345 0.346 0.361 0.08 0.616 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.029 0.059 0.089 0.026 0.243 0.103 0.646 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.318 -0.272 -0.23 -0.223 0.036 0.093 0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00703 HGDP00703 -1.265 -1.175 -0.907 -0.621 -0.678 -1.078 -1.231 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.006 -0.897 -0.717 -0.561 -0.686 -1.232 -1.275 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.557 -0.514 -0.387 -0.197 -0.348 -1.173 -1.331 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.036 -0.033 -0.039 -0.036 -0.065 -1.11 -1.344 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00704 HGDP00704 -0.472 -0.408 -0.418 -0.424 -0.218 0.49 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.6 -0.581 -0.553 -0.531 -0.348 0.422 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.344 -0.346 -0.358 -0.342 -0.308 0.358 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.149 0.069 -0.018 -0.124 -0.151 0.357 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00708 HGDP00708 0.483 0.055 -0.558 -1.16 -1.07 -0.785 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.205 -0.139 -0.632 -1.166 -1.183 -0.857 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.41 -0.599 -0.924 -1.234 -1.289 -0.864 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.786 -0.944 -1.174 -1.363 -1.428 -0.849 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00710 HGDP00710 -0.443 -0.611 -0.831 -0.986 -0.825 -0.447 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.618 -0.72 -0.866 -1.016 -0.879 -0.588 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.908 -0.969 -1.081 -1.129 -0.878 -0.738 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.022 -1.044 -1.099 -1.141 -0.917 -0.747 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00832 HGDP00832 -1.24 -1.253 -1.343 -1.181 -0.978 -0.647 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.537 -1.55 -1.53 -1.246 -0.957 -0.845 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.876 -1.939 -1.95 -1.643 -0.992 -0.94 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.956 -1.945 -1.94 -1.778 -1.153 -0.931 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00837 HGDP00837 -0.413 -0.283 -0.373 -0.574 -0.745 -0.275 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.521 -0.564 -0.621 -0.867 -1.027 -0.488 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.9 -0.993 -1.051 -1.179 -1.346 -0.786 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.005 -1.041 -1.124 -1.249 -1.484 -0.85 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00838 HGDP00838 -0.234 -0.062 -0.033 -0.058 -0.126 0.328 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.359 -0.32 -0.296 -0.396 -0.486 0.071 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.804 -0.823 -0.792 -0.768 -0.855 -0.254 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.739 -0.731 -0.761 -0.797 -0.957 -0.328 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00843 HGDP00843 -0.754 -0.722 -0.775 -0.907 -1.049 -0.447 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.959 -0.98 -1.003 -1.203 -1.362 -0.675 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.34 -1.36 -1.338 -1.368 -1.563 -0.989 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.393 -1.374 -1.368 -1.353 -1.587 -1.055 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00849 HGDP00849 -0.983 -1.012 -1.1 -1.069 -1.02 -0.215 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.141 -1.179 -1.178 -1.269 -1.277 -0.455 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.138 -1.147 -1.121 -1.104 -1.264 -0.738 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.053 -1.032 -0.978 -0.894 -1.054 -0.764 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00854 HGDP00854 -2.262 -2.404 -2.534 -2.478 -1.948 -1.048 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.365 -2.482 -2.552 -2.477 -2.096 -1.155 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.393 -2.437 -2.494 -2.422 -2.248 -1.3 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.298 -2.346 -2.392 -2.413 -2.319 -1.324 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00856 HGDP00856 -0.511 -0.658 -0.998 -1.495 -1.618 -0.804 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.684 -0.901 -1.206 -1.652 -1.753 -1.008 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.184 -1.268 -1.397 -1.627 -1.789 -1.32 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.444 -1.477 -1.488 -1.593 -1.779 -1.386 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00858 HGDP00858 0.944 0.95 0.835 0.626 0.624 0.311 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.907 0.94 0.953 0.863 0.706 0.51 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.018 1.032 1.088 1.177 0.93 0.67 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.004 1.035 1.109 1.225 0.993 0.734 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00859 HGDP00859 -0.282 -0.193 -0.072 0.099 0.069 0.109 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.147 -0.118 -0.039 -0.003 -0.138 0.011 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.004 -0.011 0.021 0.029 -0.278 -0.197 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.015 0.019 0.067 0.117 -0.214 -0.243 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00860 HGDP00860 1.165 1.157 1.155 1.388 1.506 1.046 1.132 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.31 1.27 1.299 1.46 1.524 1.073 1.16 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.457 1.469 1.467 1.54 1.455 1.082 1.197 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.43 1.444 1.464 1.492 1.452 1.048 1.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00861 HGDP00861 -0.525 -0.41 -0.306 -0.39 -0.374 -0.039 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.564 -0.479 -0.361 -0.462 -0.542 -0.278 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.238 -0.214 -0.146 -0.158 -0.386 -0.55 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.115 0.108 0.153 0.167 -0.133 -0.574 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00862 HGDP00862 -1.064 -0.958 -0.841 -0.678 -0.326 -0.213 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.875 -0.737 -0.624 -0.481 -0.297 -0.289 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.647 -0.56 -0.483 -0.361 -0.184 -0.121 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.494 -0.397 -0.332 -0.336 -0.201 -0.046 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00863 HGDP00863 0.323 0.301 0.187 0.218 -0.124 -0.466 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.199 0.171 0.174 0.163 -0.148 -0.544 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.013 0.036 0.073 0.117 -0.021 -0.61 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.007 0.067 0.138 0.143 0.108 -0.599 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00864 HGDP00864 -1.148 -1.086 -0.98 -0.791 -0.698 -0.591 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.09 -1.057 -0.962 -0.723 -0.62 -0.416 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.912 -0.842 -0.809 -0.709 -0.642 -0.316 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.014 -1.007 -0.96 -0.851 -0.766 -0.296 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00865 HGDP00865 -0.115 -0.338 -0.44 -0.61 -0.639 -0.495 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.307 -0.41 -0.507 -0.594 -0.668 -0.566 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.295 -0.294 -0.252 -0.253 -0.445 -0.685 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.07 -0.089 -0.024 -0.056 -0.17 -0.691 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00869 HGDP00869 -0.13 -0.022 -0.006 -0.009 0.02 0.153 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.11 -0.104 -0.076 -0.08 -0.181 -0.021 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.084 -0.057 -0.035 0.047 -0.156 -0.154 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.041 -0.026 0.038 0.107 0.02 -0.161 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00870 HGDP00870 -0.973 -1.121 -1.177 -1.244 -1.183 -0.542 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.962 -1.089 -1.232 -1.367 -1.246 -0.487 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.201 -1.284 -1.409 -1.551 -1.382 -0.587 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.275 -1.38 -1.486 -1.649 -1.563 -0.616 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00871 HGDP00871 -1.242 -1.131 -1.083 -1.051 -0.911 0.174 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.218 -1.168 -1.066 -0.953 -0.767 0.114 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.241 -1.176 -1.054 -0.917 -0.626 0.132 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.082 -1.034 -0.935 -0.863 -0.615 0.158 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00872 HGDP00872 -0.499 -0.5 -0.448 -0.307 0.009 0.537 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.366 -0.349 -0.31 -0.199 0.146 0.542 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.277 -0.305 -0.27 -0.145 0.262 0.712 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.257 -0.267 -0.223 -0.174 0.234 0.781 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00875 HGDP00875 -0.832 -0.847 -0.83 -0.971 -1.206 -1.497 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.781 -0.821 -0.853 -1.065 -1.247 -1.501 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.878 -0.94 -1.035 -1.122 -1.414 -1.433 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.176 -1.223 -1.306 -1.345 -1.591 -1.399 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00876 HGDP00876 0.412 0.449 0.445 0.417 0.439 0.947 1.701 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.127 0.138 0.187 0.188 0.15 0.815 1.686 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.018 0.007 -0.042 0.055 -0.11 0.522 1.665 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.167 -0.154 -0.139 -0.059 -0.121 0.447 1.659 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00877 HGDP00877 -0.856 -0.926 -0.935 -0.716 -0.456 -0.019 0.968 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.095 -1.113 -0.946 -0.722 -0.577 0.054 0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.346 -1.27 -1.1 -0.818 -0.647 -0.122 1.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.535 -1.459 -1.285 -0.917 -0.664 -0.168 1.036 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00995 HGDP00995 -0.388 -0.409 -0.451 -0.46 -0.526 -0.107 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.518 -0.533 -0.531 -0.551 -0.662 -0.327 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -1 -0.969 -0.97 -0.913 -0.859 -0.442 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.109 -1.051 -1.071 -1.125 -0.982 -0.456 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00999 HGDP00999 -0.405 -0.431 -0.596 -0.622 -0.333 0.383 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.544 -0.6 -0.695 -0.726 -0.501 0.21 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.748 -0.816 -0.926 -0.951 -0.668 0.057 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.607 -0.681 -0.857 -1.021 -0.786 0.018 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01001 HGDP01001 -0.518 -0.521 -0.641 -0.658 -0.906 -0.223 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.581 -0.591 -0.577 -0.646 -0.89 -0.35 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.841 -0.837 -0.806 -0.708 -0.871 -0.417 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.947 -0.889 -0.853 -0.836 -0.892 -0.4 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01006 HGDP01006 0.32 0.34 0.395 0.573 0.855 1.1 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.248 0.268 0.396 0.623 0.967 1.238 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.22 0.251 0.35 0.574 1.044 1.373 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.304 0.303 0.337 0.487 0.967 1.42 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01009 HGDP01009 -0.43 -0.367 -0.323 -0.492 -0.474 -0.006 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.393 -0.33 -0.284 -0.421 -0.474 -0.121 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.344 -0.277 -0.189 -0.214 -0.336 -0.167 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.197 -0.168 -0.11 -0.184 -0.271 -0.166 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01010 HGDP01010 -0.543 -0.603 -0.624 -0.655 -0.915 -0.647 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.802 -0.783 -0.734 -0.72 -0.948 -0.845 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.553 -1.437 -1.321 -1.107 -1.073 -0.851 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.876 -1.676 -1.507 -1.361 -1.13 -0.822 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01013 HGDP01013 0.247 0.271 0.164 0.19 0.144 0.791 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.246 0.235 0.248 0.266 0.3 0.867 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.284 0.255 0.261 0.35 0.475 1.048 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.341 0.294 0.26 0.26 0.42 1.125 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01014 HGDP01014 -0.514 -0.453 -0.293 -0.091 0.027 0.328 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.545 -0.484 -0.255 -0.048 -0.011 0.259 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.687 -0.593 -0.447 -0.238 -0.017 0.015 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.727 -0.643 -0.538 -0.334 -0.001 -0.032 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01037 HGDP01037 -0.869 -0.91 -0.918 -0.8 -0.746 -0.598 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.976 -1.004 -1.038 -0.974 -0.848 -0.682 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.939 -0.931 -0.924 -0.819 -0.766 -0.814 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.943 -0.916 -0.841 -0.638 -0.631 -0.782 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HGDP01051 HGDP01051 -1.445 -1.473 -1.443 -1.112 -0.538 0.052 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.471 -1.439 -1.41 -1.101 -0.583 0.011 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.433 -1.385 -1.319 -1.129 -0.626 -0.1 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.379 -1.363 -1.292 -1.064 -0.693 -0.091 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01055 HGDP01055 -1.033 -1.053 -1.033 -0.863 -0.746 -0.598 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.121 -1.127 -1.14 -1.032 -0.848 -0.682 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.033 -1.012 -0.995 -0.867 -0.766 -0.814 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.988 -0.959 -0.888 -0.681 -0.631 -0.782 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01056 HGDP01056 -0.871 -0.757 -0.577 -0.113 0.297 0.448 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.79 -0.691 -0.549 -0.189 0.128 0.31 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.622 -0.544 -0.406 -0.112 0.146 0.236 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.565 -0.496 -0.327 -0.004 0.171 0.306 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01057 HGDP01057 -1.128 -1.21 -1.281 -1.115 -0.733 -0.602 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.115 -1.138 -1.199 -1.076 -0.831 -0.672 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.821 -0.785 -0.771 -0.703 -0.715 -0.799 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.618 -0.576 -0.508 -0.406 -0.506 -0.756 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01058 HGDP01058 -0.411 -0.31 -0.158 0.154 0.348 0.244 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.416 -0.304 -0.195 0.102 0.264 0.268 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.137 -0.085 0.007 0.227 0.381 0.296 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.087 0.088 0.127 0.294 0.492 0.36 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01059 HGDP01059 0.144 0.187 0.204 0.264 -0.041 -0.451 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.053 0.012 0.148 0.262 -0.014 -0.303 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.132 -0.076 0.022 0.138 0.064 -0.115 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.029 0.044 0.091 0.129 0.118 -0.022 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01060 HGDP01060 -0.228 -0.322 -0.343 -0.474 -0.932 -1.15 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.371 -0.461 -0.422 -0.608 -1.045 -1.249 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.687 -0.708 -0.689 -0.786 -1.136 -1.387 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.837 -0.815 -0.849 -0.883 -1.039 -1.375 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_A04 LP6005441-DNA_A04 0.31 0.162 -0.289 -0.605 -0.635 -0.498 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.172 -0.052 -0.482 -0.866 -0.655 -0.568 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.398 -0.626 -0.962 -1.243 -0.771 -0.386 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.725 -0.842 -1.035 -1.341 -0.969 -0.318 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_A12 LP6005441-DNA_A12 -0.649 -0.505 -0.509 -0.62 -0.658 -0.382 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.688 -0.657 -0.624 -0.682 -0.789 -0.619 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.756 -0.764 -0.675 -0.605 -0.73 -0.944 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.658 -0.638 -0.558 -0.47 -0.559 -0.99 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_B12 LP6005441-DNA_B12 -0.737 -0.658 -0.688 -0.619 -0.552 -0.16 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.948 -0.935 -0.913 -0.821 -0.721 -0.387 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.34 -1.381 -1.371 -1.205 -0.923 -0.597 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.351 -1.339 -1.35 -1.288 -1.055 -0.63 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-LP6005441-DNA_F10 LP6005441-DNA_F10 -0.289 -0.469 -0.546 -0.562 -0.482 -0.878 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.489 -0.514 -0.56 -0.519 -0.554 -0.772 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.359 -0.329 -0.327 -0.233 -0.414 -0.685 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.217 -0.172 -0.148 -0.097 -0.163 -0.633 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_G06 LP6005441-DNA_G06 0.222 0.189 0.18 0.193 0.135 0.366 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.025 0.043 0.091 0.192 0.242 0.372 0.005 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.427 -0.345 -0.254 -0.049 0.273 0.614 -0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.595 -0.494 -0.394 -0.265 0.183 0.703 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_G07 LP6005441-DNA_G07 0.198 0.081 -0.121 -0.249 -0.418 -1.017 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.085 0.008 -0.063 -0.067 -0.307 -0.954 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.149 0.195 0.21 0.172 -0.044 -0.852 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.325 0.364 0.384 0.316 0.074 -0.798 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_H06 LP6005441-DNA_H06 -0.12 -0.091 -0.149 -0.115 0.079 0.576 0.191 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.221 -0.227 -0.206 -0.172 0.07 0.559 0.172 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.397 -0.398 -0.375 -0.284 0.052 0.497 0.146 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.32 -0.337 -0.379 -0.342 -0.005 0.48 0.14 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_H07 LP6005441-DNA_H07 -1.124 -0.982 -0.797 -0.557 -0.628 -0.261 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.989 -0.815 -0.644 -0.452 -0.623 -0.51 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.797 -0.646 -0.439 -0.217 -0.325 -0.84 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.753 -0.611 -0.376 -0.115 -0.105 -0.888 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA19648 NA19648 1.386 1.433 1.466 1.504 1.22 0.393 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.142 1.255 1.36 1.478 1.188 0.602 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.592 0.698 0.797 0.887 0.811 0.855 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.109 0.167 0.208 0.311 0.295 0.857 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA19649 NA19649 1.586 1.44 1.392 1.143 0.785 0.461 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.584 1.494 1.419 1.187 0.904 0.635 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.491 1.497 1.418 1.248 1.042 0.807 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.332 1.353 1.309 1.215 1.054 0.859 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-NA19652 NA19652 1 0.787 0.619 0.575 0.608 0.196 -0.543 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.758 0.635 0.503 0.465 0.48 0.24 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.333 0.297 0.185 0.084 0.201 0.184 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.001 0.016 -0.037 -0.097 0.072 0.1 -0.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-NA19655 NA19655 1.04 1.222 1.602 1.757 1.603 1.151 0.444 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.804 1.069 1.314 1.483 1.504 1.117 0.406 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.568 0.701 0.848 0.993 1.197 1.367 0.357 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.444 0.541 0.626 0.719 0.958 1.423 0.346 NA NA NA NA NA NA NA NA NA NA NA NA NA
-NA19657 NA19657 -0.634 -0.791 -0.829 -0.807 -0.718 -0.288 -0.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.823 -0.877 -0.858 -0.864 -0.768 -0.284 -0.161 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.906 -0.925 -0.906 -0.833 -0.723 -0.443 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.926 -0.917 -0.923 -0.844 -0.596 -0.459 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-NA19669 NA19669 0.602 0.504 0.546 0.686 0.766 1.118 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.519 0.492 0.506 0.601 0.638 1.09 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.393 0.363 0.369 0.44 0.416 0.831 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.284 0.285 0.298 0.427 0.387 0.748 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-NA19723 NA19723 -0.341 -0.327 -0.382 -0.193 0.33 0.738 1.537 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.257 -0.285 -0.293 -0.157 0.221 0.671 1.52 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.099 -0.092 -0.039 0.024 0.12 0.498 1.495 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.094 -0.083 -0.032 0.041 0.086 0.45 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA
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+NA19761 NA19761 -0.815 -0.981 -1.005 -0.85 -0.837 -0.421 -0.143 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.995 -1.092 -1.04 -0.876 -0.917 -0.638 -0.166 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.107 -1.127 -1.12 -1.016 -0.896 -0.85 -0.198 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.092 -1.035 -1.001 -0.952 -0.84 -0.858 -0.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19762 NA19762 0.955 0.879 0.623 0.405 0.152 -0.134 -0.143 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.004 0.891 0.726 0.559 0.207 -0.03 -0.166 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.895 0.813 0.758 0.645 0.322 -0.093 -0.198 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.825 0.733 0.637 0.566 0.256 -0.116 -0.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19764 NA19764 0.618 0.497 0.527 0.828 1.28 1.497 1.702 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.456 0.38 0.395 0.593 1.044 1.469 1.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.2 0.195 0.166 0.22 0.523 1.392 1.666 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.131 -0.174 -0.237 -0.174 0.168 1.341 1.66 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19770 NA19770 0.394 0.272 0.119 0.178 0.245 -0.003 -0.106 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.423 0.333 0.239 0.29 0.347 0.044 -0.1 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.679 0.601 0.559 0.501 0.349 0.105 -0.09 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.858 0.734 0.598 0.474 0.325 0.076 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19771 NA19771 0.449 0.522 0.475 0.535 0.784 1.143 1.85 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.558 0.58 0.568 0.733 0.759 1.091 1.894 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.558 0.617 0.691 0.732 0.651 0.879 1.95 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.58 0.62 0.685 0.725 0.605 0.764 1.964 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19773 NA19773 1.491 1.706 1.974 2.103 2.317 2.647 2.82 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.486 1.621 1.862 2.026 2.21 2.62 2.854 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.448 1.515 1.643 1.83 2.035 2.353 2.898 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.477 1.464 1.502 1.63 1.923 2.216 2.909 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19774 NA19774 0.906 0.948 0.921 1.038 0.71 0.307 0.975 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.732 0.772 0.771 0.884 0.796 0.301 1.001 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.203 0.21 0.214 0.308 0.599 0.163 1.035 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.074 -0.078 -0.136 -0.055 0.307 0.058 1.043 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19776 NA19776 1.985 1.892 1.769 1.588 1.229 0.572 -0.143 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.056 1.984 1.921 1.743 1.416 0.903 -0.166 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.953 1.937 1.919 1.828 1.643 1.301 -0.198 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.868 1.87 1.849 1.826 1.667 1.444 -0.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19777 NA19777 0.816 0.813 0.976 1.188 1.647 2.184 3.222 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.918 0.995 1.166 1.393 1.797 2.224 3.211 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.107 1.175 1.231 1.435 1.797 2.346 3.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.114 1.157 1.163 1.255 1.638 2.384 3.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19779 NA19779 -0.924 -1.248 -1.418 -1.731 -2.442 -2.65 -1.951 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.625 -0.836 -1.093 -1.432 -2.007 -2.404 -1.954 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.181 -0.23 -0.347 -0.724 -1.464 -1.866 -1.954 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.038 -0.052 -0.073 -0.279 -0.993 -1.736 -1.953 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19780 NA19780 2.693 2.716 2.725 2.585 2.351 1.178 0.02 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.723 2.767 2.839 2.789 2.537 1.46 -0.001 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.666 2.727 2.815 2.807 2.677 1.993 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.436 2.509 2.567 2.537 2.493 2.144 -0.038 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19781 NA19781 2.373 2.323 2.285 1.974 1.278 0.21 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.46 2.445 2.421 2.143 1.501 0.418 -0.523 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.404 2.448 2.498 2.316 1.676 0.854 -0.493 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.368 2.431 2.491 2.377 1.746 0.936 -0.485 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19782 NA19782 -0.937 -0.796 -0.668 -0.37 -0.023 -0.057 -0.143 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.799 -0.69 -0.535 -0.236 -0.062 -0.118 -0.166 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.704 -0.595 -0.439 -0.199 -0.023 -0.028 -0.198 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.679 -0.64 -0.504 -0.316 -0.133 0.023 -0.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19783 NA19783 -0.451 -0.288 -0.14 -0.158 -0.358 0 -0.143 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.399 -0.279 -0.186 -0.182 -0.35 -0.197 -0.166 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.49 -0.449 -0.343 -0.245 -0.196 -0.421 -0.198 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.386 -0.325 -0.224 -0.17 -0.118 -0.43 -0.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19785 NA19785 -0.397 -0.388 -0.431 -0.544 -0.802 -0.858 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.366 -0.35 -0.396 -0.464 -0.711 -0.864 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.183 -0.194 -0.23 -0.298 -0.558 -0.777 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.244 -0.229 -0.22 -0.277 -0.446 -0.771 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19786 NA19786 -0.221 -0.153 0.272 0.707 0.931 1.135 1.138 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.085 0.065 0.38 0.656 0.803 0.908 1.166 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.055 0.03 0.216 0.447 0.706 0.464 1.203 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.006 0.066 0.15 0.316 0.712 0.323 1.212 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19788 NA19788 0.482 0.487 0.379 0.296 0.12 0.141 0.02 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.357 0.33 0.254 0.222 0.143 0.15 -0.001 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.51 0.486 0.462 0.452 0.353 0.25 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.57 0.579 0.631 0.648 0.551 0.301 -0.038 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19789 NA19789 -0.079 -0.172 -0.273 -0.147 0.122 0.368 0.02 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.023 -0.129 -0.176 -0.108 0.174 0.341 -0.001 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.085 0.039 0.022 -0.006 0.154 0.445 -0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.146 0.122 0.092 0.069 0.054 0.511 -0.038 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19792 NA19792 -0.224 -0.394 -0.491 -0.607 -0.62 -1.222 -0.707 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.201 -0.26 -0.357 -0.427 -0.384 -1.039 -0.688 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.183 0.192 0.166 0.038 -0.149 -0.871 -0.661 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.444 0.453 0.495 0.43 0.141 -0.86 -0.654 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19794 NA19794 0.734 0.642 0.487 0.251 -0.088 -0.078 -0.143 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.691 0.628 0.484 0.324 0.134 0.164 -0.166 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.507 0.463 0.358 0.215 0.17 0.448 -0.198 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.28 0.229 0.172 0.063 -0.034 0.522 -0.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19795 NA19795 1.007 0.959 1.025 1.07 1.008 0.504 -0.143 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.073 1.024 1.072 1.102 1.095 0.782 -0.166 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.773 0.761 0.784 0.818 1.053 0.942 -0.198 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.408 0.392 0.395 0.478 0.832 0.958 -0.206 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AMR.scale b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AMR.scale
index 46814a12..9c0afd69 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AMR.scale
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-AMR.scale
@@ -1,11 +1,11 @@
 Param Mean SD
-SCORE_s0.2_lambda0.001 0.0231404222160194 0.0141783680489642
-SCORE_s0.2_lambda0.00127427498570313 0.022759823223301 0.0112651590972667
-SCORE_s0.2_lambda0.00162377673918872 0.019963511723301 0.0086190944524776
-SCORE_s0.2_lambda0.00206913808111479 0.0141611803495146 0.00596967127499055
-SCORE_s0.2_lambda0.00263665089873036 0.00647048950485437 0.00365313017557348
-SCORE_s0.2_lambda0.00335981828628378 0.00092960739684466 0.00183509110975282
-SCORE_s0.2_lambda0.00428133239871939 9.42486723300971e-05 0.000682003308636345
+SCORE_s0.2_lambda0.001 0.0232889889660194 0.0141284172397059
+SCORE_s0.2_lambda0.00127427498570313 0.0228297087718447 0.0112354444932031
+SCORE_s0.2_lambda0.00162377673918872 0.0199960165145631 0.00859752394924988
+SCORE_s0.2_lambda0.00206913808111479 0.0142417169490291 0.00595537999577796
+SCORE_s0.2_lambda0.00263665089873036 0.00657423274368932 0.00363719442585933
+SCORE_s0.2_lambda0.00335981828628378 0.00105322014373786 0.00182241632979004
+SCORE_s0.2_lambda0.00428133239871939 9.84215461165049e-05 0.000689575085475068
 SCORE_s0.2_lambda0.00545559478116852 0 0
 SCORE_s0.2_lambda0.00695192796177561 0 0
 SCORE_s0.2_lambda0.00885866790410083 0 0
@@ -19,13 +19,13 @@ SCORE_s0.2_lambda0.0483293023857176 0 0
 SCORE_s0.2_lambda0.0615848211066027 0 0
 SCORE_s0.2_lambda0.0784759970351462 0 0
 SCORE_s0.2_lambda0.1 0 0
-SCORE_s0.5_lambda0.001 0.0278233024975728 0.0159166114880798
-SCORE_s0.5_lambda0.00127427498570313 0.0253246984514563 0.0130865123363601
-SCORE_s0.5_lambda0.00162377673918872 0.020208902526699 0.0099535395222695
-SCORE_s0.5_lambda0.00206913808111479 0.0151042712259709 0.00698674939836924
-SCORE_s0.5_lambda0.00263665089873036 0.00711512048179612 0.00426914628755349
-SCORE_s0.5_lambda0.00335981828628378 0.000469380960194175 0.00192581087509134
-SCORE_s0.5_lambda0.00428133239871939 0.000108426861650485 0.000671828316820426
+SCORE_s0.5_lambda0.001 0.0279386718640777 0.0158860712895127
+SCORE_s0.5_lambda0.00127427498570313 0.0254663536359223 0.0130586562450752
+SCORE_s0.5_lambda0.00162377673918872 0.020288424842233 0.00993047588192335
+SCORE_s0.5_lambda0.00206913808111479 0.0152184660946602 0.00696782891139143
+SCORE_s0.5_lambda0.00263665089873036 0.00722553829101942 0.00424903356190302
+SCORE_s0.5_lambda0.00335981828628378 0.00059030536407767 0.00190889488471501
+SCORE_s0.5_lambda0.00428133239871939 0.000112857588834951 0.000679347516511196
 SCORE_s0.5_lambda0.00545559478116852 0 0
 SCORE_s0.5_lambda0.00695192796177561 0 0
 SCORE_s0.5_lambda0.00885866790410083 0 0
@@ -39,13 +39,13 @@ SCORE_s0.5_lambda0.0483293023857176 0 0
 SCORE_s0.5_lambda0.0615848211066027 0 0
 SCORE_s0.5_lambda0.0784759970351462 0 0
 SCORE_s0.5_lambda0.1 0 0
-SCORE_s0.9_lambda0.001 0.0640531954805825 0.030504817006457
-SCORE_s0.9_lambda0.00127427498570313 0.0521295126796117 0.0251285419649809
-SCORE_s0.9_lambda0.00162377673918872 0.0393153744902913 0.0186702865537302
-SCORE_s0.9_lambda0.00206913808111479 0.0260980591262136 0.0119012147821459
-SCORE_s0.9_lambda0.00263665089873036 0.0114571256480583 0.00618197773644397
-SCORE_s0.9_lambda0.00335981828628378 7.94259902669903e-05 0.00229216874381501
-SCORE_s0.9_lambda0.00428133239871939 0.000127514708252427 0.000660502985555213
+SCORE_s0.9_lambda0.001 0.0642075489805825 0.0304752758707044
+SCORE_s0.9_lambda0.00127427498570313 0.0522836121456311 0.0250969544506457
+SCORE_s0.9_lambda0.00162377673918872 0.0394620069902913 0.0186417205292336
+SCORE_s0.9_lambda0.00206913808111479 0.0262566388106796 0.0118679382674418
+SCORE_s0.9_lambda0.00263665089873036 0.0115754140264563 0.00615256351804109
+SCORE_s0.9_lambda0.00335981828628378 0.000207269637791262 0.00226087982780459
+SCORE_s0.9_lambda0.00428133239871939 0.000132299701941748 0.000667996788442882
 SCORE_s0.9_lambda0.00545559478116852 0 0
 SCORE_s0.9_lambda0.00695192796177561 0 0
 SCORE_s0.9_lambda0.00885866790410083 0 0
@@ -59,13 +59,13 @@ SCORE_s0.9_lambda0.0483293023857176 0 0
 SCORE_s0.9_lambda0.0615848211066027 0 0
 SCORE_s0.9_lambda0.0784759970351462 0 0
 SCORE_s0.9_lambda0.1 0 0
-SCORE_s1_lambda0.001 0.132905217839806 0.0513052823288881
-SCORE_s1_lambda0.00127427498570313 0.104492766213592 0.0414312287556062
-SCORE_s1_lambda0.00162377673918872 0.0756564511893204 0.0303406080561881
-SCORE_s1_lambda0.00206913808111479 0.0469558111165049 0.0183112294018668
-SCORE_s1_lambda0.00263665089873036 0.0182263771893204 0.00801374218881917
-SCORE_s1_lambda0.00335981828628378 -8.77423677184466e-06 0.00248192038816793
-SCORE_s1_lambda0.00428133239871939 0.000132341061165049 0.000658067681521566
+SCORE_s1_lambda0.001 0.133143572524272 0.0512655173633076
+SCORE_s1_lambda0.00127427498570313 0.104705058106796 0.0413900003973146
+SCORE_s1_lambda0.00162377673918872 0.0758177593446602 0.0303043709854719
+SCORE_s1_lambda0.00206913808111479 0.0471150585 0.0182760229082183
+SCORE_s1_lambda0.00263665089873036 0.0183673570121359 0.00797991952597275
+SCORE_s1_lambda0.00335981828628378 0.000122182146917476 0.00244578568905301
+SCORE_s1_lambda0.00428133239871939 0.000137216633980583 0.000665563240026966
 SCORE_s1_lambda0.00545559478116852 0 0
 SCORE_s1_lambda0.00695192796177561 0 0
 SCORE_s1_lambda0.00885866790410083 0 0
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-CSA.profiles b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-CSA.profiles
index 2f552d8b..79371f3a 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-CSA.profiles
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-CSA.profiles
@@ -1,676 +1,676 @@
 FID IID SCORE_s0.2_lambda0.001 SCORE_s0.2_lambda0.00127427498570313 SCORE_s0.2_lambda0.00162377673918872 SCORE_s0.2_lambda0.00206913808111479 SCORE_s0.2_lambda0.00263665089873036 SCORE_s0.2_lambda0.00335981828628378 SCORE_s0.2_lambda0.00428133239871939 SCORE_s0.2_lambda0.00545559478116852 SCORE_s0.2_lambda0.00695192796177561 SCORE_s0.2_lambda0.00885866790410083 SCORE_s0.2_lambda0.0112883789168469 SCORE_s0.2_lambda0.0143844988828766 SCORE_s0.2_lambda0.0183298071083244 SCORE_s0.2_lambda0.0233572146909012 SCORE_s0.2_lambda0.0297635144163132 SCORE_s0.2_lambda0.0379269019073225 SCORE_s0.2_lambda0.0483293023857176 SCORE_s0.2_lambda0.0615848211066027 SCORE_s0.2_lambda0.0784759970351462 SCORE_s0.2_lambda0.1 SCORE_s0.5_lambda0.001 SCORE_s0.5_lambda0.00127427498570313 SCORE_s0.5_lambda0.00162377673918872 SCORE_s0.5_lambda0.00206913808111479 SCORE_s0.5_lambda0.00263665089873036 SCORE_s0.5_lambda0.00335981828628378 SCORE_s0.5_lambda0.00428133239871939 SCORE_s0.5_lambda0.00545559478116852 SCORE_s0.5_lambda0.00695192796177561 SCORE_s0.5_lambda0.00885866790410083 SCORE_s0.5_lambda0.0112883789168469 SCORE_s0.5_lambda0.0143844988828766 SCORE_s0.5_lambda0.0183298071083244 SCORE_s0.5_lambda0.0233572146909012 SCORE_s0.5_lambda0.0297635144163132 SCORE_s0.5_lambda0.0379269019073225 SCORE_s0.5_lambda0.0483293023857176 SCORE_s0.5_lambda0.0615848211066027 SCORE_s0.5_lambda0.0784759970351462 SCORE_s0.5_lambda0.1 SCORE_s0.9_lambda0.001 SCORE_s0.9_lambda0.00127427498570313 SCORE_s0.9_lambda0.00162377673918872 SCORE_s0.9_lambda0.00206913808111479 SCORE_s0.9_lambda0.00263665089873036 SCORE_s0.9_lambda0.00335981828628378 SCORE_s0.9_lambda0.00428133239871939 SCORE_s0.9_lambda0.00545559478116852 SCORE_s0.9_lambda0.00695192796177561 SCORE_s0.9_lambda0.00885866790410083 SCORE_s0.9_lambda0.0112883789168469 SCORE_s0.9_lambda0.0143844988828766 SCORE_s0.9_lambda0.0183298071083244 SCORE_s0.9_lambda0.0233572146909012 SCORE_s0.9_lambda0.0297635144163132 SCORE_s0.9_lambda0.0379269019073225 SCORE_s0.9_lambda0.0483293023857176 SCORE_s0.9_lambda0.0615848211066027 SCORE_s0.9_lambda0.0784759970351462 SCORE_s0.9_lambda0.1 SCORE_s1_lambda0.001 SCORE_s1_lambda0.00127427498570313 SCORE_s1_lambda0.00162377673918872 SCORE_s1_lambda0.00206913808111479 SCORE_s1_lambda0.00263665089873036 SCORE_s1_lambda0.00335981828628378 SCORE_s1_lambda0.00428133239871939 SCORE_s1_lambda0.00545559478116852 SCORE_s1_lambda0.00695192796177561 SCORE_s1_lambda0.00885866790410083 SCORE_s1_lambda0.0112883789168469 SCORE_s1_lambda0.0143844988828766 SCORE_s1_lambda0.0183298071083244 SCORE_s1_lambda0.0233572146909012 SCORE_s1_lambda0.0297635144163132 SCORE_s1_lambda0.0379269019073225 SCORE_s1_lambda0.0483293023857176 SCORE_s1_lambda0.0615848211066027 SCORE_s1_lambda0.0784759970351462 SCORE_s1_lambda0.1
-HG01583 HG01583 2.102 2.223 2.351 2.405 2.186 1.539 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.054 2.082 2.15 2.172 1.938 1.521 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.74 1.76 1.717 1.655 1.48 1.514 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.516 1.518 1.449 1.253 1.187 1.485 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01586 HG01586 -0.556 -0.455 -0.403 -0.28 -0.021 0.408 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.331 -0.314 -0.319 -0.255 -0.066 0.239 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.098 -0.137 -0.172 -0.142 -0.009 0.136 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.094 0.03 -0.053 -0.113 0.033 0.146 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01589 HG01589 0.681 0.264 -0.236 -0.795 -1.128 -0.514 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.332 -0.037 -0.386 -0.921 -1.351 -0.697 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.441 -0.563 -0.667 -0.921 -1.281 -1.077 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.727 -0.732 -0.713 -0.692 -1.055 -1.096 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01593 HG01593 -2.3 -2.443 -2.501 -2.44 -2.457 -2.346 -2.207 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.206 -2.319 -2.333 -2.232 -2.115 -2.139 -2.216 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.378 -1.439 -1.501 -1.499 -1.456 -1.667 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.569 -0.617 -0.722 -0.834 -0.951 -1.506 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02490 HG02490 -0.678 -0.676 -0.749 -1.001 -1.603 -1.799 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.765 -0.832 -0.996 -1.293 -1.734 -1.973 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.868 -0.968 -1.095 -1.252 -1.68 -2.238 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.596 -0.728 -0.919 -1.147 -1.578 -2.24 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02491 HG02491 -0.774 -0.765 -0.876 -0.742 -0.603 -0.033 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.963 -0.998 -1.064 -0.789 -0.438 0.043 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.806 -0.849 -0.846 -0.651 -0.365 0.388 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.734 -0.717 -0.671 -0.586 -0.399 0.49 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02493 HG02493 -0.466 -0.424 -0.201 0.025 0.117 0.214 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.166 -0.163 -0.032 0.103 0.05 0.238 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.112 0.099 0.112 0.064 0.011 0.075 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.119 0.059 0.003 -0.062 -0.137 0.054 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02494 HG02494 -0.063 0.055 0.216 0.636 0.938 1.546 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.029 0.079 0.255 0.561 0.855 1.421 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.011 0.075 0.154 0.402 0.6 1.453 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.138 -0.07 0.024 0.15 0.49 1.424 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02597 HG02597 1.928 1.866 1.767 1.856 2.183 2.241 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.77 1.734 1.716 1.627 1.896 2.371 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.447 1.423 1.381 1.364 1.436 2.252 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.099 1.078 1.011 1.079 1.222 2.175 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02600 HG02600 -1.281 -1.43 -1.195 -1.011 -1.155 -1.072 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.35 -1.334 -1.131 -0.896 -0.952 -1.034 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.365 -1.305 -1.202 -1.242 -0.965 -1.012 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.669 -1.569 -1.476 -1.39 -1.036 -1.041 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02601 HG02601 -0.167 -0.357 -0.524 -0.68 -0.387 -0.002 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.56 -0.592 -0.666 -0.714 -0.463 0.025 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.856 -0.827 -0.759 -0.678 -0.474 -0.078 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.744 -0.659 -0.558 -0.437 -0.323 -0.168 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02603 HG02603 -1.65 -1.545 -1.457 -1.401 -1.169 -0.278 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.789 -1.652 -1.566 -1.394 -1.252 -0.569 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.818 -1.781 -1.629 -1.385 -1.373 -0.871 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.55 -1.511 -1.421 -1.244 -1.303 -1.017 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02604 HG02604 -1.087 -1.139 -1.246 -1.221 -0.774 -1.229 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.243 -1.27 -1.265 -1.155 -0.79 -1.165 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.177 -1.182 -1.154 -1.045 -0.932 -1.172 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.863 -0.887 -0.891 -0.823 -0.79 -1.286 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02648 HG02648 0.702 0.569 0.564 0.491 0.416 0.751 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.379 0.31 0.409 0.455 0.659 0.81 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.12 0.119 0.175 0.293 0.729 1.07 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.15 0.185 0.25 0.323 0.724 1.065 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02649 HG02649 1.67 1.515 1.244 0.806 0.494 0.654 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.694 1.536 1.233 0.807 0.412 0.519 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.371 1.333 1.255 1.034 0.504 0.433 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.075 1.144 1.232 1.131 0.704 0.415 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02651 HG02651 0.746 0.854 0.984 1.151 1.196 0.959 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.907 0.914 1.053 1.164 1.184 1.114 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.739 0.804 0.93 0.964 0.917 0.934 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.537 0.627 0.741 0.826 0.772 0.833 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02652 HG02652 -0.215 -0.12 0.147 0.365 0.788 1.17 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.064 0.064 0.264 0.387 0.714 1.126 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.259 0.317 0.327 0.36 0.464 1.102 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.385 0.369 0.319 0.205 0.355 1.063 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02654 HG02654 -1.646 -1.581 -1.549 -1.498 -1.584 -2.529 -2.886 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.725 -1.634 -1.545 -1.3 -1.206 -2.225 -2.847 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.442 -1.333 -1.17 -0.939 -0.757 -1.98 -2.786 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.212 -1.111 -0.935 -0.667 -0.513 -1.96 -2.769 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02655 HG02655 1.955 1.968 2.021 1.806 1.279 0.503 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.029 2.046 2.029 1.892 1.44 0.595 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.994 2.005 1.964 1.867 1.469 0.813 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.889 1.903 1.915 1.861 1.533 0.805 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02657 HG02657 0.244 0.422 0.784 1.263 1.542 1.58 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.469 0.673 0.968 1.315 1.539 1.754 1.536 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.463 0.619 0.799 1.092 1.463 1.895 1.598 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.228 0.315 0.529 0.795 1.316 1.888 1.614 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02658 HG02658 -0.82 -0.613 -0.401 -0.161 -0.119 0.1 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.699 -0.538 -0.285 -0.017 -0.021 0.164 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.749 -0.646 -0.51 -0.355 -0.189 0.21 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.999 -0.925 -0.787 -0.646 -0.34 0.143 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02659 HG02659 0.407 0.563 0.808 1.282 1.605 2.068 3.971 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.518 0.727 1.112 1.623 1.792 2.274 3.983 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.507 0.72 1.073 1.586 1.997 2.277 3.995 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.273 0.42 0.754 1.288 1.989 2.228 3.998 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02660 HG02660 -0.796 -1.061 -1.067 -0.976 -0.608 -0.262 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.661 -0.728 -0.778 -0.872 -0.577 -0.36 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.328 -0.366 -0.393 -0.44 -0.571 -0.306 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.326 -0.437 -0.532 -0.591 -0.725 -0.285 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02661 HG02661 -1.758 -1.788 -1.799 -1.994 -1.868 -1.531 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.644 -1.732 -1.786 -1.912 -1.768 -1.465 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.664 -1.754 -1.863 -2.031 -1.814 -1.271 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.616 -1.704 -1.822 -2.089 -2.014 -1.203 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02681 HG02681 -0.55 -0.41 -0.475 -0.904 -1.218 -1.68 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.356 -0.227 -0.269 -0.655 -1.044 -1.747 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.015 0.021 -0.035 -0.35 -0.79 -1.836 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.005 0.006 -0.02 -0.166 -0.617 -1.9 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02682 HG02682 -0.195 -0.208 -0.253 -0.367 -0.681 -1.104 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.004 -0.035 -0.127 -0.216 -0.486 -0.918 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.277 0.244 0.137 -0.034 -0.263 -0.597 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.556 0.5 0.395 0.155 -0.042 -0.56 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02684 HG02684 0.535 0.459 0.31 0.085 0.178 -0.36 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.154 0.138 -0.01 -0.099 -0.036 -0.474 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.548 -0.588 -0.622 -0.696 -0.402 -0.595 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.882 -0.922 -0.957 -0.92 -0.651 -0.635 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02685 HG02685 -0.025 -0.071 -0.078 0.174 0.552 0.331 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.249 -0.247 -0.194 0.172 0.488 0.281 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.499 -0.489 -0.393 -0.145 0.368 0.197 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.717 -0.692 -0.626 -0.346 0.193 0.178 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02687 HG02687 -2.161 -2.321 -2.356 -2.286 -1.878 -1.231 -0.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.242 -2.353 -2.376 -2.333 -2.042 -1.392 -0.2 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.347 -2.37 -2.431 -2.487 -2.273 -1.611 -0.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.501 -2.54 -2.57 -2.619 -2.463 -1.657 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02688 HG02688 0.169 0.336 0.541 0.774 1.199 1.647 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.392 0.509 0.613 0.812 1.206 1.54 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.724 0.753 0.84 1.019 1.29 1.474 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.899 0.923 1.033 1.15 1.343 1.461 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02690 HG02690 0.114 0.114 0.23 0.423 0.676 1.341 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.11 0.172 0.351 0.562 0.545 1.296 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.134 0.211 0.307 0.401 0.373 1.058 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.078 0.086 0.078 0.168 0.163 0.985 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02691 HG02691 -1.3 -1.275 -1.154 -0.932 -0.85 -0.144 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.467 -1.447 -1.286 -1.057 -1.01 -0.017 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.522 -1.491 -1.456 -1.437 -1.311 -0.162 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.44 -1.468 -1.52 -1.572 -1.498 -0.189 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02694 HG02694 1.205 1.355 1.528 1.534 1.26 0.919 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.06 1.191 1.358 1.483 1.441 0.967 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.135 1.219 1.368 1.523 1.598 1.169 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.028 1.161 1.333 1.522 1.647 1.239 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02698 HG02698 0.438 0.435 0.474 0.489 0.427 0.509 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.68 0.638 0.604 0.677 0.512 0.623 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.824 0.787 0.787 0.896 0.777 0.63 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.79 0.773 0.859 0.941 0.859 0.653 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02699 HG02699 0.416 0.376 0.474 0.653 0.211 -0.771 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.303 0.426 0.516 0.738 0.449 -0.672 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.184 -0.046 0.016 0.012 0.032 -0.536 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.673 -0.553 -0.601 -0.736 -0.521 -0.52 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02700 HG02700 -0.056 0.118 -0.059 -0.313 -0.342 0.089 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.232 -0.168 -0.275 -0.341 -0.39 0.122 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.735 -0.694 -0.62 -0.45 -0.338 -0.025 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.87 -0.866 -0.735 -0.538 -0.32 -0.038 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02724 HG02724 -0.608 -0.936 -1.08 -1.157 -0.548 -0.145 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.748 -0.925 -1.04 -0.969 -0.417 -0.08 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.984 -1.076 -1.193 -1.047 -0.534 0.157 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.304 -1.36 -1.405 -1.292 -0.786 0.211 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02725 HG02725 0.056 0.263 0.583 0.912 0.585 -0.006 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.364 0.483 0.695 0.948 0.519 -0.213 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.666 0.677 0.8 0.859 0.632 -0.33 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.656 0.678 0.703 0.719 0.518 -0.314 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02727 HG02727 0.246 0.13 -0.126 -0.276 -0.104 -0.118 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.187 -0.385 -0.572 -0.526 -0.224 -0.116 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.617 -0.746 -0.916 -0.891 -0.524 0.011 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.714 -0.817 -0.959 -1.083 -0.77 0.05 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02728 HG02728 -0.377 -0.222 -0.257 -0.124 -0.365 -0.406 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.346 -0.232 -0.12 0.002 -0.29 -0.496 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.114 -0.057 0.089 0.209 -0.08 -0.384 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.059 0.064 0.11 0.211 0.008 -0.318 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02731 HG02731 -0.789 -0.877 -0.828 -0.694 0.057 0.469 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.005 -0.981 -0.852 -0.48 0.222 0.681 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.292 -1.276 -1.179 -0.767 0.19 0.871 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.205 -1.19 -1.132 -0.879 0.071 0.899 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02733 HG02733 -0.397 -0.398 -0.167 0.19 0.163 0.332 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.191 -0.157 -0.009 0.145 0.049 0.252 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.297 -0.254 -0.171 -0.027 -0.247 0.185 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.204 -0.269 -0.337 -0.336 -0.428 0.141 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02736 HG02736 1.31 1.226 1.007 0.783 0.49 0.22 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.263 1.159 0.973 0.782 0.544 0.402 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.914 0.838 0.681 0.474 0.482 0.624 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.446 0.422 0.326 0.146 0.263 0.684 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02737 HG02737 2.002 2.026 2.058 2.17 2.059 2.014 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.973 1.992 1.989 2.04 2.01 2.071 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.794 1.761 1.731 1.764 1.909 2.016 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.707 1.718 1.721 1.766 1.858 1.985 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02775 HG02775 0.558 0.704 0.958 0.945 0.376 -0.368 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.261 0.466 0.701 0.771 0.387 -0.27 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.125 0.249 0.384 0.494 0.392 -0.213 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.116 0.127 0.193 0.365 0.366 -0.234 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02778 HG02778 1.432 1.403 1.45 1.447 0.918 -0.012 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.521 1.584 1.676 1.649 1.094 0.05 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.389 1.413 1.482 1.399 1.049 0.111 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.089 1.091 1.096 1.069 0.895 0.086 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02783 HG02783 0.649 0.741 0.713 0.837 0.883 0.833 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.862 0.899 0.848 0.904 0.885 0.705 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.162 1.174 1.099 1.08 0.941 0.719 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.379 1.366 1.257 1.169 1.008 0.731 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02786 HG02786 0.367 0.733 0.846 0.781 0.637 0.838 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.621 0.755 0.806 0.709 0.645 0.907 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.522 0.554 0.536 0.465 0.449 1.086 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.265 0.279 0.288 0.265 0.273 1.119 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02787 HG02787 0.272 0.198 0.221 0.239 0.378 0.078 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.504 0.583 0.621 0.618 0.687 0.334 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.772 0.91 1.004 0.986 1.001 0.528 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.663 0.724 0.873 0.932 1.055 0.588 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02789 HG02789 0.439 0.674 0.909 0.929 0.902 0.122 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.605 0.696 0.726 0.583 -0.085 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.219 -0.196 -0.181 0.01 0.116 -0.29 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.889 -0.873 -0.829 -0.621 -0.3 -0.335 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02793 HG02793 1.415 1.489 1.394 1.206 1.186 1.326 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.801 1.809 1.632 1.263 1.101 1.247 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.17 2.021 1.825 1.576 1.142 1.203 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.3 2.197 2.021 1.804 1.289 1.216 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03007 HG03007 0.891 0.701 0.473 0.2 -0.212 -0.426 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.632 0.482 0.292 0.051 -0.39 -0.48 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.139 0.088 0.043 -0.165 -0.495 -0.586 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.054 -0.12 -0.157 -0.27 -0.538 -0.577 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03018 HG03018 0.511 0.34 0.254 0.217 0.087 0.644 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.649 0.468 0.402 0.225 0.076 0.696 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.322 0.239 0.218 0.189 -0.033 0.742 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.048 -0.048 -0.121 -0.131 -0.163 0.754 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03229 HG03229 -0.247 -0.024 0.17 0.454 0.724 1.477 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.14 0.009 0.261 0.463 0.753 1.554 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.254 -0.156 0.028 0.184 0.497 1.524 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.324 -0.249 -0.11 0.024 0.255 1.496 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03235 HG03235 0.521 0.444 0.415 0.538 0.569 0.419 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.384 0.329 0.332 0.378 0.344 0.187 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.009 0.043 0.017 0.189 0.254 -0.02 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.286 -0.238 -0.243 -0.108 0.144 -0.063 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03487 HG03487 1.139 1.153 1.165 1.13 0.875 0.187 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.233 1.167 1.108 1.035 0.91 0.405 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.183 1.12 1.053 0.967 0.903 0.451 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.005 0.963 0.915 0.874 0.837 0.487 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03488 HG03488 0.176 0.086 0.183 0.124 -0.101 -0.678 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.144 -0.1 -0.057 -0.047 -0.173 -0.563 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.206 -0.181 -0.202 -0.291 -0.438 -0.443 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.087 0.034 -0.087 -0.25 -0.514 -0.447 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03491 HG03491 1.355 1.323 1.275 1.113 0.95 0.724 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.236 1.192 1.027 0.89 0.793 0.53 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.163 0.993 0.779 0.57 0.6 0.465 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.066 0.916 0.747 0.562 0.423 0.447 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03598 HG03598 0.641 0.55 0.501 0.616 0.52 0.243 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.759 0.69 0.645 0.657 0.529 0.127 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.964 0.954 0.937 0.939 0.608 0.236 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.877 0.926 0.947 0.927 0.706 0.286 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03603 HG03603 0.271 0.344 0.441 0.359 0.216 -0.138 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.427 0.438 0.448 0.359 0.16 -0.153 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.547 0.57 0.55 0.382 0.1 -0.082 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.732 0.737 0.664 0.406 0.112 -0.056 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03604 HG03604 0.759 0.935 0.823 0.572 0.311 0.228 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.711 0.761 0.738 0.524 0.219 0.165 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.687 0.635 0.625 0.638 0.29 -0.022 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.842 0.715 0.606 0.586 0.377 -0.055 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG03611 HG03611 0.684 0.512 0.28 -0.051 -0.386 -0.866 -1.189 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.401 0.367 0.273 -0.006 -0.351 -0.941 -1.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.222 0.247 0.239 0.044 -0.535 -0.877 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.292 0.297 0.292 0.081 -0.477 -0.905 -0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03615 HG03615 -0.43 -0.585 -0.912 -1.279 -1.176 -0.851 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.504 -0.638 -0.882 -1.299 -1.429 -0.971 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.628 -0.708 -0.87 -1.167 -1.596 -1.11 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.871 -0.88 -0.934 -1.117 -1.526 -1.127 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03616 HG03616 -0.946 -0.895 -0.78 -0.736 -0.512 0.195 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.234 -1.223 -1.156 -1.119 -0.785 0.184 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.824 -1.792 -1.777 -1.745 -1.473 -0.113 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.076 -2.015 -1.961 -1.975 -1.817 -0.267 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03618 HG03618 0.528 0.361 0.053 -0.357 -1.464 -3.368 -4.191 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.293 0.178 -0.019 -0.303 -1.194 -3.284 -4.182 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.268 0.162 0.05 -0.233 -0.978 -2.946 -4.159 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.583 0.437 0.175 -0.136 -0.795 -2.897 -4.151 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03619 HG03619 -1.365 -1.408 -1.449 -1.189 -0.684 -0.391 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.161 -1.234 -1.237 -0.992 -0.656 -0.375 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.78 -0.742 -0.717 -0.74 -0.478 -0.399 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.726 -0.665 -0.586 -0.532 -0.287 -0.356 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03624 HG03624 -0.011 0.03 0.143 0.356 0.321 -0.29 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.007 0.06 0.179 0.486 0.415 -0.28 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.298 0.37 0.488 0.739 0.629 -0.224 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.658 0.647 0.7 0.847 0.846 -0.222 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03625 HG03625 0.963 0.681 0.59 0.741 0.587 0.113 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.742 0.639 0.705 0.772 0.517 0.012 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.67 0.623 0.665 0.717 0.526 -0.008 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.867 0.84 0.759 0.7 0.605 -0.005 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03626 HG03626 0.355 0.391 0.55 0.95 1.028 0.036 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.499 0.566 0.789 1.085 1.003 -0.113 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.814 0.892 1.052 1.316 1.117 -0.175 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.122 1.138 1.205 1.36 1.301 -0.202 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03629 HG03629 2.25 1.87 1.415 1.152 0.869 0.495 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.749 1.55 1.293 1.001 0.737 0.56 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.146 1.037 1.002 0.849 0.698 0.469 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1 0.912 0.87 0.882 0.74 0.468 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03631 HG03631 -1.017 -1.246 -1.536 -1.764 -1.739 -1.135 -0.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.55 -1.725 -1.955 -2.049 -1.875 -1.101 -0.2 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.23 -2.315 -2.432 -2.355 -2.035 -1.304 -0.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.483 -2.557 -2.588 -2.432 -2.134 -1.379 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03633 HG03633 -1.048 -1.138 -1.108 -0.879 -0.747 -0.732 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.963 -1.053 -1.006 -0.796 -0.663 -0.575 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.37 -0.377 -0.402 -0.463 -0.541 -0.138 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.149 0.157 0.138 -0.051 -0.348 -0.043 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03634 HG03634 -1.15 -1.268 -1.318 -1.154 -1.154 -1.36 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.382 -1.41 -1.37 -1.178 -1.098 -1.327 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.219 -1.159 -1.128 -1.109 -1.023 -1.39 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.975 -0.998 -1.035 -1.06 -1.046 -1.419 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03636 HG03636 -0.834 -0.946 -0.995 -0.862 -0.571 -0.605 -0.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.986 -1.025 -1.006 -0.812 -0.551 -0.533 -0.2 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.656 -0.605 -0.59 -0.545 -0.467 -0.351 -0.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.367 -0.29 -0.268 -0.402 -0.416 -0.275 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03639 HG03639 -1.397 -1.56 -1.67 -1.665 -1.349 -0.629 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.568 -1.682 -1.828 -1.901 -1.535 -0.932 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.804 -1.907 -1.967 -1.999 -1.595 -1.074 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.882 -1.937 -1.961 -1.955 -1.532 -1.048 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03640 HG03640 0.773 0.728 0.864 0.814 1.015 0.89 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.629 0.697 0.763 0.807 0.892 0.787 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.314 0.373 0.418 0.615 0.732 0.755 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.204 0.201 0.179 0.353 0.583 0.769 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03642 HG03642 -0.216 -0.218 -0.395 -0.458 -0.576 -0.534 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.399 -0.442 -0.532 -0.622 -0.735 -0.526 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.899 -0.96 -1.003 -1.133 -0.933 -0.552 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.146 -1.152 -1.188 -1.28 -1.17 -0.58 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03643 HG03643 0.704 0.823 0.907 1.021 1.166 0.743 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.954 1.039 1.019 1.016 1.156 0.878 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.277 1.278 1.23 1.118 1.049 1.086 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.194 1.208 1.172 1.124 0.939 1.118 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03644 HG03644 -0.042 -0.214 -0.496 -0.613 -0.142 0.065 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.065 -0.196 -0.356 -0.36 0.065 0.202 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.328 -0.313 -0.28 -0.172 0.193 0.196 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.197 -0.158 -0.154 -0.09 0.156 0.184 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03645 HG03645 0.315 0.255 0.164 -0.017 0.03 -0.019 0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.007 -0.073 -0.136 -0.091 -0.051 0.098 0.403 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.349 -0.371 -0.406 -0.352 -0.162 0.263 0.474 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.507 -0.489 -0.461 -0.371 -0.223 0.261 0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03646 HG03646 -0.377 0.045 0.33 0.65 0.975 0.956 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.055 0.259 0.433 0.656 0.984 0.95 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.329 0.467 0.692 0.841 1.164 1.047 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.511 0.616 0.806 1.029 1.284 1.114 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03649 HG03649 0.127 -0.067 -0.171 0.128 0.686 1.299 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.177 -0.297 -0.346 0.063 0.563 1.204 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.498 -0.492 -0.408 -0.144 0.391 0.98 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.613 -0.584 -0.497 -0.273 0.23 0.914 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03650 HG03650 -0.459 -0.614 -0.637 -0.769 -1.209 -1.682 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.376 -0.534 -0.579 -0.601 -0.996 -1.545 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.317 -0.436 -0.545 -0.622 -0.775 -1.405 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.09 -0.219 -0.39 -0.562 -0.713 -1.315 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03652 HG03652 -1.433 -1.317 -1.235 -1.043 -0.892 -0.873 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.341 -1.22 -1.15 -0.948 -0.846 -0.903 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.195 -1.188 -1.099 -1.008 -0.779 -0.825 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.064 -1.104 -1.121 -1.079 -0.795 -0.774 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03653 HG03653 -0.502 -0.756 -0.789 -0.827 -0.874 -0.236 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.632 -0.827 -0.951 -1.041 -1.145 -0.44 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.052 -1.186 -1.272 -1.297 -1.194 -0.562 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.375 -1.413 -1.417 -1.312 -1.137 -0.565 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03660 HG03660 0.123 0.384 0.453 0.437 0.673 0.888 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.244 0.336 0.375 0.496 0.687 0.87 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.273 0.302 0.298 0.38 0.654 1.032 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.258 0.299 0.298 0.298 0.551 1.087 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03663 HG03663 0.728 0.82 1.063 1.33 1.192 0.526 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.815 0.918 0.946 1.101 1.015 0.365 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.547 0.531 0.58 0.617 0.727 0.039 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.3 0.293 0.296 0.424 0.541 -0.033 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03667 HG03667 1.06 1.005 0.91 0.581 0.283 0.188 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.185 1.056 0.875 0.554 0.292 0.275 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.152 1.069 0.869 0.52 0.248 0.414 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.894 0.926 0.946 0.692 0.298 0.478 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03668 HG03668 0.523 0.397 0.345 0.373 0.224 -0.559 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.651 0.621 0.639 0.659 0.382 -0.564 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.097 1.077 1.072 0.996 0.548 -0.648 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.32 1.315 1.279 1.198 0.672 -0.702 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03672 HG03672 1.593 1.738 1.699 1.507 1.802 1.878 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.545 1.68 1.685 1.655 1.971 1.858 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.373 1.405 1.509 1.746 2.094 1.624 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.183 1.173 1.212 1.476 1.953 1.536 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03673 HG03673 -0.212 0.003 0.24 0.549 1.234 1.312 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.09 0.286 0.446 0.779 1.369 1.374 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.616 0.719 0.822 1.152 1.567 1.465 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.973 1.072 1.185 1.362 1.699 1.515 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03679 HG03679 3.339 3.325 3.401 3.493 3.865 4.15 3.971 NA NA NA NA NA NA NA NA NA NA NA NA NA 3.431 3.449 3.626 3.721 3.94 4.342 3.983 NA NA NA NA NA NA NA NA NA NA NA NA NA 3.321 3.498 3.732 3.902 3.903 4.395 3.995 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.998 3.119 3.361 3.657 3.703 4.357 3.998 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03680 HG03680 -1.305 -1.301 -1.505 -1.582 -1.667 -2.071 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.224 -1.208 -1.29 -1.32 -1.472 -1.984 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.808 -0.796 -0.818 -0.935 -1.341 -1.677 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.524 -0.579 -0.663 -0.866 -1.34 -1.643 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03681 HG03681 1.16 1.207 1.135 1.116 0.846 0.902 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.16 1.196 1.166 1.132 0.979 0.938 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.398 1.404 1.411 1.423 1.3 0.842 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.851 1.786 1.695 1.634 1.487 0.847 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03683 HG03683 -0.062 -0.022 -0.215 -0.413 -0.782 -1.075 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.049 0.023 -0.132 -0.387 -0.688 -0.968 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.238 0.149 0.017 -0.223 -0.436 -0.999 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.327 0.219 0.092 -0.058 -0.313 -0.947 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03684 HG03684 0.563 0.463 0.478 0.494 0.391 0.103 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.669 0.615 0.605 0.451 0.417 0.313 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.7 0.644 0.628 0.4 0.314 0.31 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.584 0.518 0.467 0.344 0.226 0.303 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03685 HG03685 -2.012 -1.876 -1.975 -2.015 -1.974 -1.319 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.07 -1.935 -1.916 -1.899 -2.001 -1.482 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.847 -1.794 -1.707 -1.686 -1.915 -1.463 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.545 -1.488 -1.409 -1.445 -1.724 -1.422 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03686 HG03686 1.071 0.733 0.439 0.213 -0.197 -0.224 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.113 0.835 0.499 0.151 -0.092 -0.184 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.789 0.657 0.484 0.197 0 -0.269 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.462 0.429 0.4 0.231 0.055 -0.255 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03687 HG03687 0.092 -0.099 -0.151 -0.189 -0.162 -0.104 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.063 0.032 0.111 0.003 -0.073 -0.076 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.212 0.258 0.324 0.266 -0.051 -0.032 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.239 0.31 0.348 0.3 -0.052 -0.035 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03688 HG03688 -0.918 -0.988 -1.018 -0.93 -0.635 -0.142 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.722 -0.754 -0.824 -0.856 -0.609 -0.11 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.757 -0.787 -0.774 -0.83 -0.631 -0.037 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.767 -0.773 -0.753 -0.738 -0.691 -0.022 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03689 HG03689 -2.24 -1.965 -1.485 -1.169 -0.72 -0.309 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.915 -1.723 -1.428 -1.271 -0.883 -0.338 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.371 -1.308 -1.172 -0.973 -0.906 -0.433 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.071 -1.065 -1.045 -0.911 -0.797 -0.451 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03690 HG03690 0.94 1.363 1.857 2.411 2.677 2.881 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.257 1.566 2.01 2.397 2.556 2.61 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.875 2.019 2.175 2.293 2.283 2.24 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.199 2.261 2.32 2.306 2.184 2.12 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03691 HG03691 1.211 1.246 1.195 1.043 0.597 -0.399 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.03 1.047 0.999 1.02 0.744 -0.316 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.721 0.718 0.714 0.661 0.683 -0.196 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.421 0.461 0.552 0.574 0.584 -0.203 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03692 HG03692 -0.3 -0.457 -0.702 -0.692 -0.697 -0.711 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.631 -0.735 -0.889 -0.827 -0.89 -0.928 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.259 -1.259 -1.311 -1.232 -1.084 -1.147 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.506 -1.467 -1.47 -1.465 -1.223 -1.172 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03693 HG03693 -1.482 -1.439 -1.24 -0.994 -0.881 -1.186 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.333 -1.241 -1.046 -0.845 -0.708 -1.09 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.864 -0.806 -0.719 -0.62 -0.492 -0.816 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.418 -0.42 -0.491 -0.514 -0.409 -0.725 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03694 HG03694 -0.05 0.154 0.241 0.461 0.931 1.106 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.047 0.174 0.187 0.344 0.572 0.752 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.495 0.492 0.485 0.573 0.444 0.553 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.945 0.921 0.845 0.784 0.634 0.538 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03695 HG03695 1.506 1.23 0.902 0.65 0.518 0.604 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.403 1.256 1.058 0.815 0.56 0.648 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.444 1.436 1.419 1.29 0.867 0.713 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.326 1.376 1.47 1.461 1.065 0.767 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03696 HG03696 -1.192 -1.325 -1.302 -1.046 -0.842 -0.301 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.319 -1.393 -1.358 -1.028 -0.806 -0.574 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.265 -1.255 -1.148 -0.882 -0.713 -0.861 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.182 -1.138 -1.015 -0.784 -0.632 -0.979 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03697 HG03697 0.489 0.673 0.987 1.249 1.428 0.888 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.356 0.496 0.74 1.076 1.223 0.94 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.245 0.345 0.478 0.6 0.798 0.87 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.034 0.02 0.145 0.243 0.457 0.83 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03698 HG03698 -2.54 -2.488 -2.396 -2.284 -2.258 -1.594 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.567 -2.544 -2.533 -2.532 -2.446 -1.51 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.27 -2.262 -2.248 -2.407 -2.728 -1.525 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.879 -1.961 -2.033 -2.209 -2.661 -1.595 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03699 HG03699 0.132 0.239 0.596 0.605 0.587 0.119 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.106 0.341 0.664 0.673 0.575 -0.009 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.415 0.533 0.659 0.786 0.815 0.13 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.703 0.79 0.79 0.765 0.919 0.212 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03701 HG03701 0.178 0.321 0.616 0.802 0.927 0.347 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.222 0.465 0.774 0.857 0.88 0.166 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.136 0.29 0.487 0.643 0.852 0.279 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.106 0.085 0.217 0.369 0.801 0.344 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03702 HG03702 -0.777 -0.854 -1.087 -1.158 -1.221 -0.671 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.005 -1.07 -1.211 -1.236 -1.189 -0.709 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.287 -1.25 -1.27 -1.322 -1.22 -0.698 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.42 -1.379 -1.34 -1.299 -1.271 -0.657 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03703 HG03703 2.054 1.994 1.974 1.934 2.016 1.395 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.042 2.019 2.008 2.014 2.147 1.571 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.164 2.173 2.173 2.128 2.232 1.735 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.198 2.174 2.142 2.126 2.207 1.78 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03705 HG03705 0.189 0.053 0.105 0.255 0.726 1.078 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.373 0.326 0.324 0.428 0.824 0.965 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.748 0.752 0.798 0.855 1.129 0.913 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.973 0.967 1.019 1.096 1.312 0.94 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03706 HG03706 0.297 0.318 0.403 0.744 0.578 0.233 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.952 0.926 0.886 0.809 0.599 0.323 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.731 1.684 1.571 1.295 0.672 0.226 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.849 1.784 1.641 1.401 0.825 0.208 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03708 HG03708 -0.239 -0.024 0.283 0.718 0.965 0.688 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.345 -0.12 0.174 0.565 0.752 0.735 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.232 -0.08 0.187 0.395 0.492 0.708 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.053 0.043 0.175 0.272 0.366 0.687 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03709 HG03709 0.818 0.689 0.421 -0.147 -0.368 0.024 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.318 0.229 0.061 -0.313 -0.439 -0.096 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.458 -0.476 -0.509 -0.587 -0.605 -0.32 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.523 -0.534 -0.517 -0.537 -0.581 -0.427 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03711 HG03711 2.399 2.322 2.137 1.944 1.794 1.717 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.444 2.385 2.255 2.003 1.883 1.855 1.536 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.535 2.431 2.299 2.127 1.965 1.712 1.598 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.503 2.379 2.18 1.985 1.898 1.659 1.614 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03713 HG03713 -0.325 -0.339 -0.388 -0.397 -0.547 -0.475 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.07 -0.075 -0.14 -0.246 -0.485 -0.562 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.361 0.326 0.273 0.146 -0.174 -0.808 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.416 0.35 0.276 0.159 -0.112 -0.829 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03714 HG03714 -0.438 -0.32 0.078 0.371 0.574 0.651 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.001 0.168 0.407 0.641 0.94 1.007 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.599 0.68 0.793 0.877 1.169 1.407 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.841 0.848 0.896 0.921 1.157 1.497 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03716 HG03716 -0.532 -0.72 -0.93 -0.959 -0.856 -0.398 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.61 -0.753 -0.906 -0.916 -0.829 -0.291 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.851 -0.852 -0.846 -0.809 -0.884 -0.357 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.934 -0.926 -0.867 -0.81 -0.858 -0.375 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03717 HG03717 1.405 1.351 1.134 0.525 -0.295 -0.661 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.024 1.011 0.876 0.546 0.078 -0.462 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.699 0.634 0.579 0.497 0.491 -0.069 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.521 0.474 0.458 0.454 0.608 0.079 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03718 HG03718 1.56 1.727 1.96 2.258 1.959 0.705 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.78 1.763 1.938 2.141 1.841 0.667 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.558 1.594 1.676 1.768 1.639 0.555 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.213 1.276 1.365 1.518 1.43 0.548 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03719 HG03719 -0.306 -0.142 -0.119 -0.285 -0.251 0.101 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.325 -0.187 -0.186 -0.284 -0.198 -0.162 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.78 -0.702 -0.717 -0.578 -0.288 -0.138 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.165 -1.029 -0.95 -0.832 -0.378 -0.126 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03720 HG03720 1.429 1.225 1.097 0.846 0.937 1.151 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.207 1.207 1.17 0.896 0.979 1.268 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.224 1.199 1.099 0.958 0.989 1.231 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.141 1.092 0.942 0.872 0.919 1.197 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03721 HG03721 1.643 1.609 1.441 1.262 0.999 0.194 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.48 1.448 1.287 1.123 0.918 0.032 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.965 0.951 0.885 0.824 0.756 -0.086 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.801 0.786 0.716 0.559 0.564 -0.078 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03722 HG03722 -0.365 -0.159 -0.006 -0.298 -0.169 0.216 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.458 -0.259 -0.175 -0.352 -0.036 0.223 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.443 -0.374 -0.424 -0.344 -0.11 0.536 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.487 -0.381 -0.376 -0.411 -0.109 0.59 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03725 HG03725 1.105 1.168 1.152 0.836 0.135 0.117 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.247 1.203 1.155 0.817 0.185 -0.231 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.92 0.941 0.868 0.699 0.416 -0.513 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.495 0.601 0.645 0.645 0.524 -0.526 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03727 HG03727 1.142 1.167 1.32 1.407 1.453 0.809 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.24 1.29 1.346 1.327 1.264 0.681 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.229 1.338 1.441 1.415 1.2 0.48 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.106 1.248 1.385 1.51 1.316 0.463 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03729 HG03729 1.065 1.044 0.898 0.423 0.206 0.611 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.089 1.021 0.887 0.48 0.42 0.823 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.422 1.326 1.132 0.957 0.855 0.917 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.512 1.376 1.222 1.131 1.051 0.951 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03730 HG03730 -0.2 -0.3 -0.507 -1.037 -2.014 -2.048 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.532 -0.63 -0.685 -1.138 -1.957 -2.026 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.936 -1.026 -1.098 -1.397 -1.907 -2.173 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.778 -0.881 -1.007 -1.21 -1.774 -2.296 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03731 HG03731 1.955 1.982 2.002 2.107 2.138 2.091 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.963 1.956 1.911 2.053 2.143 1.935 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.722 1.717 1.671 1.676 1.947 1.824 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.328 1.374 1.409 1.451 1.764 1.774 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03733 HG03733 -0.438 -0.462 -0.645 -1.012 -1.399 -0.983 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.533 -0.564 -0.799 -1.067 -1.35 -0.957 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.084 -1.122 -1.137 -1.219 -1.306 -1.088 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.338 -1.401 -1.377 -1.351 -1.382 -1.122 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03736 HG03736 -0.157 -0.08 0.05 0.324 0.603 0.684 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.07 0.15 0.162 0.301 0.565 0.66 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.409 0.366 0.381 0.504 0.61 0.562 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.308 0.292 0.359 0.524 0.691 0.554 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03738 HG03738 0.785 0.923 0.894 0.758 0.327 -0.068 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.594 0.662 0.739 0.613 0.284 -0.002 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.102 -0.048 0.026 0.096 0.089 -0.071 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.542 -0.512 -0.419 -0.191 -0.054 -0.088 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03740 HG03740 -0.612 -0.756 -0.82 -0.908 -0.998 -1.004 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.715 -0.815 -0.85 -0.918 -0.927 -0.76 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.875 -0.896 -1.011 -1.029 -1.077 -0.479 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.111 -1.101 -1.16 -1.25 -1.223 -0.416 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03741 HG03741 -0.581 -0.32 -0.22 -0.073 0.18 -0.079 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.224 -0.215 -0.191 -0.064 0.112 -0.179 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.215 0.225 0.192 0.388 0.365 -0.049 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.535 0.586 0.596 0.625 0.661 0.029 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03742 HG03742 0.591 0.66 0.507 -0.008 -0.581 -0.87 -1.332 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.559 0.658 0.453 0.043 -0.433 -0.947 -1.384 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.464 0.523 0.508 0.401 0.08 -0.777 -1.452 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.511 0.609 0.665 0.46 -0.645 -1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03743 HG03743 -1.249 -1.142 -0.768 -0.487 -0.263 -0.604 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.77 -0.659 -0.414 -0.124 -0.023 -0.517 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.05 -0.021 0.102 0.274 0.304 -0.368 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.102 0.141 0.275 0.475 0.536 -0.325 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03744 HG03744 0.747 0.744 0.684 0.206 -0.061 -0.121 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.747 0.741 0.602 0.085 -0.185 -0.315 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.475 0.395 0.2 -0.081 -0.436 -0.293 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.048 -0.084 -0.196 -0.399 -0.622 -0.278 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03745 HG03745 1.914 2.01 1.821 1.412 0.63 0.118 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.782 1.735 1.542 1.133 0.488 0.185 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.215 1.136 0.993 0.795 0.326 0.257 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.914 0.945 0.937 0.761 0.255 0.273 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03746 HG03746 0.981 0.71 0.619 0.633 0.714 1.224 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.941 0.732 0.534 0.506 0.651 1.344 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.662 0.548 0.392 0.116 0.213 1.332 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.25 0.203 0.108 -0.12 -0.151 1.285 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03752 HG03752 -0.782 -0.939 -1.089 -1.252 -1.259 -1.115 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.806 -0.972 -1.063 -1.203 -1.372 -1.16 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.706 -0.781 -0.813 -0.896 -1.236 -1.4 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.529 -0.572 -0.611 -0.663 -1.084 -1.415 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03753 HG03753 1.309 1.346 1.287 1.252 1.324 1.361 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.503 1.459 1.334 1.239 1.24 1.202 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.645 1.574 1.523 1.471 1.402 1.055 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.646 1.587 1.583 1.585 1.439 1.065 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03754 HG03754 1.295 1.323 1.464 1.52 1.252 0.612 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.586 1.551 1.586 1.623 1.371 0.835 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.714 1.646 1.518 1.479 1.344 1.062 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.621 1.568 1.406 1.208 1.053 1.084 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03755 HG03755 -0.842 -0.641 -0.424 -0.124 0.447 0.695 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.613 -0.409 -0.195 0.059 0.458 0.678 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.327 -0.183 -0.01 0.185 0.555 0.596 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.209 -0.059 0.088 0.271 0.513 0.576 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03756 HG03756 0.167 0.075 0.217 0.167 0.105 -0.08 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.103 0.027 0.039 -0.119 -0.137 -0.154 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.329 -0.357 -0.348 -0.458 -0.462 -0.369 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.494 -0.559 -0.62 -0.717 -0.668 -0.406 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03757 HG03757 -1.678 -1.656 -1.604 -1.433 -1.339 -1.089 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.332 -1.427 -1.459 -1.336 -1.433 -1.067 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.896 -0.982 -1.028 -1.045 -1.258 -1.283 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.659 -0.729 -0.765 -0.765 -1.055 -1.293 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03760 HG03760 2.14 2.026 1.884 1.88 1.927 1.873 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.855 1.811 1.71 1.787 1.887 1.979 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.212 1.163 1.17 1.346 1.697 1.896 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.826 0.812 0.813 1.002 1.425 1.85 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03761 HG03761 -0.042 0.233 0.329 0.177 0.27 -0.297 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.116 0.111 0.206 0.146 0.076 -0.342 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.204 -0.15 -0.138 -0.102 -0.255 -0.472 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.234 -0.294 -0.391 -0.434 -0.476 -0.519 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03762 HG03762 -0.334 -0.439 -0.601 -0.625 -0.293 -0.267 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.362 -0.45 -0.615 -0.71 -0.512 -0.4 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.07 -0.09 -0.253 -0.331 -0.496 -0.451 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.072 0.039 -0.093 -0.198 -0.396 -0.438 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03765 HG03765 1.322 1.313 1.295 1.451 1.649 2.366 3.971 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.166 1.123 1.064 1.052 1.331 2.428 3.983 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.83 0.719 0.614 0.486 0.645 2.12 3.995 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.531 0.408 0.21 0.103 0.297 1.947 3.998 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03767 HG03767 -0.467 -0.437 -0.288 0.059 0.143 -0.948 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.302 -0.201 -0.081 0.347 0.547 -0.774 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.255 0.336 0.527 0.786 1.007 -0.126 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.431 0.572 0.837 1.059 1.228 0.075 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03770 HG03770 0.411 0.698 0.933 0.988 0.964 0.843 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.563 0.677 0.887 0.971 1.073 1.021 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.682 0.733 0.767 0.837 1.014 1.289 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.806 0.811 0.742 0.671 0.861 1.354 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03771 HG03771 0.057 -0.031 -0.192 -0.344 -0.393 -0.087 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.255 -0.335 -0.425 -0.475 -0.443 0.073 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.596 -0.637 -0.702 -0.816 -0.65 0.131 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.823 -0.94 -1.048 -1.131 -0.987 0.148 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03772 HG03772 -0.754 -0.31 0.328 0.975 1.157 0.661 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.23 0.138 0.638 1.171 1.342 0.378 -1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.388 0.594 0.888 1.193 1.514 0.403 -1.247 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.734 0.826 0.915 1.078 1.467 0.444 -1.263 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03773 HG03773 0.019 0.259 0.434 0.583 0.821 1.221 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.099 0.258 0.37 0.538 0.841 1.247 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.279 0.372 0.467 0.481 0.729 1.186 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.192 0.316 0.434 0.533 0.764 1.118 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03774 HG03774 -1.742 -1.471 -1.37 -1.455 -1.543 -1.567 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.537 -1.3 -1.287 -1.3 -1.432 -1.722 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.149 -1.079 -0.997 -0.982 -1.146 -1.56 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.772 -0.703 -0.611 -0.638 -0.897 -1.517 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03775 HG03775 -0.396 -0.331 -0.313 -0.113 0.011 0.504 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.486 -0.408 -0.412 -0.258 -0.169 0.346 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.684 -0.642 -0.649 -0.698 -0.344 0.213 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.919 -0.872 -0.805 -0.753 -0.474 0.213 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03777 HG03777 0.189 0.025 -0.29 -0.45 -0.446 -0.161 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.147 -0.232 -0.373 -0.5 -0.491 -0.305 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.727 -0.675 -0.697 -0.819 -0.59 -0.43 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.043 -1 -0.955 -0.954 -0.806 -0.477 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03778 HG03778 0.11 0.195 0.349 0.595 0.845 0.782 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.411 0.427 0.475 0.614 0.739 0.742 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.646 0.698 0.733 0.814 0.824 0.797 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.642 0.7 0.766 0.755 0.906 0.805 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03779 HG03779 -0.229 -0.4 -0.426 -0.311 0.22 0.745 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.36 -0.437 -0.341 -0.179 0.347 0.862 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.149 -0.143 -0.102 0.032 0.382 1.029 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.004 0.016 0.08 0.127 0.439 1.093 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03780 HG03780 -0.944 -1.01 -1.273 -1.495 -1.384 -0.703 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.595 -0.677 -0.84 -1.023 -1.07 -0.744 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.054 -0.07 -0.232 -0.373 -0.477 -0.798 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.41 0.306 0.148 -0.035 -0.243 -0.75 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03781 HG03781 0.54 0.522 0.541 0.814 1.297 2.113 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.284 0.303 0.399 0.63 0.995 1.987 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.288 0.312 0.391 0.426 0.706 1.747 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.528 0.49 0.457 0.4 0.583 1.666 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03782 HG03782 -0.574 -0.529 -0.544 -0.55 -0.933 -1.275 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.38 -0.374 -0.349 -0.37 -0.761 -1.185 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.307 -0.331 -0.357 -0.467 -0.613 -0.965 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.541 -0.521 -0.512 -0.562 -0.694 -0.881 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03784 HG03784 -0.931 -0.822 -0.683 -0.794 -1.231 -1.302 -1.332 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.629 -0.549 -0.532 -0.7 -1.051 -1.173 -1.384 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.267 -0.256 -0.289 -0.414 -0.719 -0.905 -1.452 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.057 0.051 0.017 -0.166 -0.531 -0.789 -1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03785 HG03785 -0.18 -0.135 -0.193 -0.594 -1.124 -1.833 -3.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.177 -0.156 -0.263 -0.543 -0.804 -1.694 -3.12 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.318 -0.377 -0.482 -0.472 -0.394 -1.181 -3.235 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.317 -0.352 -0.486 -0.5 -0.302 -1.006 -3.262 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03786 HG03786 -1.308 -1.28 -1.333 -1.372 -1.253 -0.631 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.115 -1.112 -1.168 -1.333 -1.253 -0.526 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.767 -0.737 -0.798 -1.025 -1.231 -0.603 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.863 -0.84 -0.819 -0.879 -1.132 -0.622 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03787 HG03787 -0.094 0.114 0.117 0.098 0.083 -0.559 -1.189 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.024 0.141 0.259 0.404 0.381 -0.589 -1.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.461 0.514 0.518 0.612 0.471 -0.444 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.84 0.857 0.84 0.841 0.668 -0.487 -0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03788 HG03788 -0.576 -0.286 0.017 0.171 0.271 -0.203 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.352 0.019 0.189 0.234 0.209 -0.34 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.28 0.423 0.532 0.429 0.103 -0.339 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.351 0.452 0.491 0.364 0.042 -0.332 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03789 HG03789 0.315 0.234 0.056 -0.297 -0.517 -0.252 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.34 0.231 0.048 -0.202 -0.475 -0.103 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.423 0.357 0.184 -0.152 -0.396 -0.077 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.312 0.277 0.201 -0.03 -0.335 -0.075 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03790 HG03790 1.721 1.452 1.185 0.968 1.221 1.635 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.595 1.426 1.138 0.896 1.255 1.706 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.056 0.979 0.835 0.765 1.229 1.751 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.574 0.618 0.65 0.692 1.207 1.74 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03792 HG03792 1.467 1.48 1.352 1.209 0.845 0.29 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.565 1.554 1.412 1.326 1.157 0.395 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.688 1.653 1.579 1.526 1.498 0.601 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.699 1.696 1.665 1.533 1.565 0.673 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03793 HG03793 1.068 1.097 0.757 0.377 -0.432 -0.918 -2.011 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.886 0.854 0.612 0.255 -0.472 -1.03 -2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.817 0.746 0.606 0.326 -0.31 -1.063 -2.017 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.137 1.092 0.916 0.657 -0.005 -1.07 -2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03794 HG03794 -0.777 -0.796 -0.867 -0.851 -0.964 -1.128 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.957 -0.87 -0.799 -0.679 -0.928 -1.347 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.851 -0.837 -0.657 -0.545 -0.622 -1.372 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.396 -0.392 -0.371 -0.357 -0.415 -1.293 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03796 HG03796 -0.145 0.04 0.124 0.027 -0.041 -0.191 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.079 0.023 0.122 0.115 0.101 -0.033 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.283 0.292 0.311 0.329 0.279 0.165 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.625 0.56 0.539 0.479 0.31 0.241 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03797 HG03797 0.606 0.495 0.249 -0.159 -0.693 -1.057 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.465 0.337 0.142 -0.304 -0.577 -0.985 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.187 0.12 0.007 -0.257 -0.508 -0.839 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.089 0.1 0.058 -0.069 -0.325 -0.838 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03799 HG03799 0.108 0.172 0.28 0.196 0.358 0.294 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.083 0.108 0.185 0.262 0.543 0.478 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.028 0.068 0.106 0.18 0.54 0.859 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.12 0.176 0.186 0.132 0.495 0.955 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03800 HG03800 1.064 1.25 1.325 1.353 1.269 0.622 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.296 1.298 1.366 1.355 1.316 0.865 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.174 1.166 1.173 1.141 1.196 1 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.938 0.899 0.861 0.895 1.004 0.991 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03802 HG03802 0.557 0.301 0.217 0.283 0.44 0.225 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.615 0.447 0.301 0.36 0.499 0.413 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.461 0.392 0.318 0.262 0.408 0.617 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.198 0.165 0.169 0.126 0.179 0.667 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03803 HG03803 -1.517 -1.597 -1.479 -1.397 -1.241 -0.632 0.471 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.475 -1.502 -1.42 -1.474 -1.258 -0.801 0.431 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.203 -1.294 -1.328 -1.459 -1.352 -0.763 0.38 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.991 -1.124 -1.275 -1.456 -1.418 -0.751 0.368 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03805 HG03805 0.644 0.571 0.459 0.354 0.339 0.184 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.77 0.757 0.594 0.354 0.297 0.155 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.024 0.949 0.857 0.708 0.428 0.193 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.041 1.012 0.937 0.823 0.633 0.226 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03806 HG03806 0.348 0.297 0.173 -0.415 -1.249 -1.219 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.496 0.472 0.225 -0.474 -1.052 -1.258 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.574 0.501 0.243 -0.277 -0.736 -0.994 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.513 0.506 0.445 0.076 -0.451 -0.909 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03808 HG03808 -1.618 -1.634 -1.745 -1.92 -2.386 -3.396 -2.886 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.809 -1.803 -1.89 -1.953 -2.137 -3.243 -2.847 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.649 -1.658 -1.724 -1.799 -1.93 -2.86 -2.786 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.235 -1.217 -1.258 -1.367 -1.605 -2.818 -2.769 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03809 HG03809 0.064 0.237 0.474 0.566 0.254 -0.622 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.417 0.542 0.681 0.725 0.303 -0.603 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.849 0.981 1.12 1.147 0.554 -0.549 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.142 1.226 1.347 1.313 0.789 -0.488 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03812 HG03812 -0.691 -0.652 -0.653 -0.468 -0.225 0.728 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.852 -0.815 -0.767 -0.659 -0.623 0.427 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.277 -1.253 -1.186 -1.036 -1.034 -0.041 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.382 -1.372 -1.356 -1.269 -1.275 -0.178 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03814 HG03814 0.225 0.283 0.304 0.277 0.32 0.263 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.257 0.374 0.488 0.472 0.374 0.495 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.018 0.175 0.344 0.436 0.458 0.817 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.144 -0.029 0.107 0.259 0.315 0.917 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03815 HG03815 -0.161 0.149 0.11 0.042 0.144 0.481 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.197 -0.059 -0.006 0.037 0.211 0.545 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.114 0.138 0.135 0.142 0.396 0.614 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.403 0.386 0.386 0.351 0.472 0.639 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03816 HG03816 0.663 0.995 1.107 1.092 1.243 1.019 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.886 1.139 1.333 1.463 1.482 1.151 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.51 1.623 1.701 1.834 1.933 1.466 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.918 1.976 2.066 2.137 2.007 1.603 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03817 HG03817 0.179 0.129 0.287 0.101 -0.189 -0.069 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.168 0.096 0.219 0.036 -0.351 -0.124 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.073 -0.068 -0.051 -0.136 -0.46 -0.319 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.457 -0.42 -0.317 -0.293 -0.545 -0.358 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03821 HG03821 0.799 0.456 0.154 -0.081 -0.577 -0.945 -1.189 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.21 0.055 -0.154 -0.285 -0.626 -0.999 -1.111 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.513 -0.556 -0.612 -0.685 -0.951 -1.077 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.63 -0.554 -0.533 -0.6 -0.939 -1.2 -0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03823 HG03823 -1.083 -0.952 -0.725 -0.6 -0.141 0.2 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.922 -0.812 -0.601 -0.46 -0.135 0.388 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.631 -0.564 -0.45 -0.283 -0.049 0.429 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.535 -0.469 -0.344 -0.139 0.037 0.449 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03824 HG03824 0.602 0.54 0.512 0.555 0.418 -0.192 -0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.674 0.647 0.724 0.681 0.257 -0.226 -0.911 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.806 0.772 0.776 0.829 0.178 -0.213 -0.799 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.032 0.985 0.871 0.846 0.25 -0.239 -0.77 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03825 HG03825 -0.405 -0.306 -0.127 -0.223 -0.111 -0.136 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.295 -0.177 -0.043 -0.21 -0.247 -0.047 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.007 0.041 0.037 -0.002 -0.15 -0.04 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.108 0.126 0.114 0.141 -0.002 -0.007 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03826 HG03826 1.025 0.953 0.977 0.785 0.181 -0.558 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.771 0.785 0.81 0.7 0.035 -0.601 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.533 0.547 0.515 0.48 -0.197 -0.706 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.396 0.362 0.299 0.235 -0.289 -0.78 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03829 HG03829 0.047 0.124 0.327 0.52 0.638 0.753 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.031 -0.015 0.139 0.354 0.391 0.609 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.288 -0.257 -0.082 0.179 0.175 0.183 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.28 -0.251 -0.171 0.099 0.188 0.011 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03830 HG03830 -0.898 -1.06 -1.411 -1.606 -1.28 -0.637 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.014 -1.122 -1.386 -1.643 -1.402 -0.952 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.687 -0.748 -0.813 -0.887 -1.067 -1.4 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.275 -0.26 -0.224 -0.19 -0.518 -1.486 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03832 HG03832 -1.277 -1.049 -0.888 -0.844 -0.826 -0.517 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.209 -0.945 -0.746 -0.644 -0.669 -0.607 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.784 -0.556 -0.314 -0.121 -0.175 -0.496 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.531 -0.321 -0.062 0.161 0.121 -0.379 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03833 HG03833 -0.878 -1.015 -1.3 -1.62 -1.535 -1.026 -1.332 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.001 -1.114 -1.388 -1.724 -1.683 -1.151 -1.384 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.248 -1.308 -1.404 -1.421 -1.39 -1.29 -1.452 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.286 -1.246 -1.252 -1.176 -1.042 -1.256 -1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03836 HG03836 -0.328 -0.303 -0.291 -0.392 -0.551 -0.687 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.486 -0.512 -0.485 -0.604 -0.832 -0.655 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.031 -0.994 -0.999 -1.017 -1.178 -0.872 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.238 -1.268 -1.337 -1.391 -1.491 -0.944 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03837 HG03837 -0.148 -0.391 -0.529 -0.379 -0.076 0.174 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.533 -0.634 -0.72 -0.624 -0.268 -0.051 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.883 -0.863 -0.816 -0.645 -0.408 -0.343 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.824 -0.769 -0.651 -0.527 -0.38 -0.366 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03838 HG03838 1.463 1.441 1.216 1.104 0.671 -0.106 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.303 1.189 1.062 1.039 0.76 -0.139 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.226 1.1 1.02 0.876 0.712 -0.221 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.39 1.267 1.128 0.945 0.721 -0.28 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03844 HG03844 -1.006 -0.984 -0.842 -0.385 0.464 1.064 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.512 -1.392 -1.135 -0.472 0.328 1.179 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.688 -1.545 -1.291 -0.83 0.123 1.032 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.434 -1.324 -1.123 -0.774 0.002 0.976 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03846 HG03846 -0.086 -0.432 -0.516 -0.647 -0.493 -0.469 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.062 -0.293 -0.443 -0.591 -0.337 -0.331 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.41 -0.508 -0.734 -0.939 -0.574 -0.225 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.932 -0.964 -1.089 -1.188 -0.874 -0.285 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03848 HG03848 -0.607 -0.756 -0.815 -0.937 -1.372 -1.71 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.62 -0.694 -0.723 -0.794 -1.131 -1.568 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.672 -0.721 -0.736 -0.721 -0.763 -1.479 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.688 -0.722 -0.705 -0.641 -0.588 -1.468 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03849 HG03849 0.339 -0.056 -0.354 -0.48 -0.352 -0.145 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.035 -0.272 -0.503 -0.655 -0.486 -0.103 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.634 -0.731 -0.849 -0.988 -0.837 -0.038 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.009 -1.016 -1.042 -1.152 -1.002 -0.061 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03850 HG03850 0.242 -0.089 -0.354 -0.759 -1.243 -1.256 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.002 -0.284 -0.498 -0.923 -1.227 -1.15 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.139 -0.263 -0.475 -0.835 -1.138 -1.133 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.189 -0.306 -0.532 -0.849 -1.068 -1.088 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03851 HG03851 1.505 1.355 1.267 1.374 1.175 0.685 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.698 1.534 1.375 1.449 1.267 0.894 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.819 1.726 1.626 1.528 1.342 1.096 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.737 1.688 1.62 1.5 1.25 1.148 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03854 HG03854 -1.419 -1.222 -1.073 -0.802 -0.405 -0.134 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.236 -1.188 -1.036 -0.778 -0.488 -0.165 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.008 -0.948 -0.854 -0.754 -0.504 -0.189 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.958 -0.906 -0.853 -0.767 -0.533 -0.192 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03856 HG03856 -1.025 -1.052 -1.064 -1.201 -1.392 -1.751 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.757 -0.828 -0.865 -1.036 -1.193 -1.682 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.342 -0.408 -0.507 -0.606 -1.021 -1.514 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.204 -0.3 -0.421 -0.571 -0.987 -1.522 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03857 HG03857 -0.221 -0.346 -0.229 -0.072 0.472 0.772 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.139 -0.169 -0.149 -0.03 0.277 0.636 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.197 -0.206 -0.205 -0.089 0.163 0.415 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.305 -0.285 -0.249 -0.145 0.088 0.385 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03858 HG03858 -0.509 -0.644 -0.735 -0.941 -1.228 -1.023 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.482 -0.541 -0.653 -0.937 -1.163 -1.175 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.459 -0.603 -0.793 -1.039 -1.133 -1.353 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.482 -0.643 -0.839 -1.091 -1.141 -1.409 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03861 HG03861 0.977 1.088 1.091 0.998 0.979 1.496 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.761 0.773 0.741 0.603 0.714 1.445 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.361 0.331 0.316 0.3 0.259 1.089 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.329 0.289 0.28 0.28 0.209 0.963 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03862 HG03862 1.071 1.118 1.31 1.396 1.338 1.342 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.15 1.21 1.325 1.429 1.458 1.424 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.632 1.622 1.622 1.562 1.749 1.466 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.871 1.83 1.787 1.757 1.826 1.515 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03863 HG03863 0.415 0.561 0.625 0.94 1.423 1.312 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.105 0.305 0.546 1.02 1.495 1.193 1.536 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.122 0.306 0.591 1.014 1.421 1.125 1.598 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.28 0.485 0.735 1.078 1.439 1.038 1.614 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03864 HG03864 -0.24 -0.295 -0.354 -0.252 -0.475 -0.811 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.28 -0.318 -0.424 -0.392 -0.464 -0.811 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.222 -0.309 -0.424 -0.541 -0.632 -0.684 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.302 -0.432 -0.571 -0.744 -0.857 -0.612 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03867 HG03867 1.083 1.064 1.1 0.956 0.821 1.061 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.207 1.289 1.29 1.008 0.89 1.254 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.317 1.314 1.297 1.15 0.938 1.357 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.128 1.099 1.039 0.998 0.874 1.377 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03868 HG03868 -1.466 -1.527 -1.527 -1.344 -1.001 -0.5 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.573 -1.488 -1.386 -1.25 -0.972 -0.658 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.104 -1.029 -0.903 -0.859 -0.72 -0.708 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.77 -0.75 -0.682 -0.655 -0.571 -0.687 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03869 HG03869 -1.258 -1.293 -1.001 -0.611 -0.065 0.828 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.503 -1.358 -1.05 -0.631 -0.013 0.871 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.384 -1.309 -1.195 -0.881 -0.18 1.069 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.343 -1.294 -1.214 -1.046 -0.38 1.097 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03870 HG03870 0.883 0.939 0.85 0.56 0.381 0.9 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.675 0.682 0.558 0.333 0.224 0.925 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.195 -0.206 -0.35 -0.503 -0.307 0.64 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.883 -0.925 -0.975 -0.999 -0.711 0.499 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03871 HG03871 1.288 1.215 1.02 0.516 -0.147 -0.512 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.301 1.143 0.874 0.395 -0.221 -0.514 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.165 1.024 0.845 0.554 -0.063 -0.741 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 1 0.902 0.794 0.709 0.212 -0.8 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03872 HG03872 -0.517 -0.388 -0.213 0.079 0.67 0.88 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.231 -0.1 0.118 0.381 0.864 0.981 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.117 0.255 0.38 0.413 0.742 0.978 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.286 0.36 0.425 0.371 0.574 0.938 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03873 HG03873 0.348 0.228 0.383 0.616 0.553 0.525 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.433 0.379 0.505 0.703 0.727 0.671 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.908 0.992 1.024 0.997 0.876 0.895 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.176 1.218 1.211 1.095 0.919 0.958 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03874 HG03874 1.317 1.29 1.227 1.25 1.275 1.909 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.353 1.28 1.307 1.313 1.153 1.76 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.91 0.907 0.965 1.056 1.068 1.557 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.491 0.498 0.605 0.752 0.931 1.506 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03875 HG03875 0.305 0.427 0.475 0.614 0.414 -0.018 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.668 0.727 0.694 0.744 0.532 0.115 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.89 0.967 0.991 0.956 0.651 0.312 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.789 0.84 0.918 0.955 0.684 0.352 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03882 HG03882 -1.532 -1.814 -2.272 -2.675 -3.199 -2.703 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.881 -2.122 -2.52 -2.943 -3.453 -2.837 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.312 -2.42 -2.577 -2.786 -3.282 -3.224 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.347 -2.425 -2.461 -2.519 -2.928 -3.22 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03884 HG03884 -0.013 -0.149 -0.401 -0.883 -1.184 -1.532 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.056 -0.166 -0.347 -0.693 -0.989 -1.226 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.053 0.025 -0.083 -0.347 -0.562 -0.903 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.112 0.084 0.012 -0.142 -0.379 -0.793 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03885 HG03885 -1.956 -1.924 -1.884 -1.785 -1.698 -0.831 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.614 -1.664 -1.741 -1.907 -1.776 -0.911 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.837 -1.927 -2.022 -2.232 -2.079 -1.131 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.025 -2.09 -2.173 -2.352 -2.339 -1.198 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03886 HG03886 -0.528 -0.477 -0.545 -0.612 -0.148 -0.127 -1.332 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.38 -0.351 -0.418 -0.352 0.035 -0.018 -1.384 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.078 0.101 0.096 0.134 0.516 0.359 -1.452 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.447 0.457 0.469 0.509 0.764 0.508 -1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03887 HG03887 -0.231 -0.146 0.089 0.196 0.129 -0.313 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.011 0.106 0.209 0.202 -0.012 -0.54 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.418 0.444 0.488 0.404 0.008 -0.696 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.424 0.466 0.505 0.483 0.153 -0.72 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03888 HG03888 0.877 0.909 0.889 0.802 0.269 -0.599 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.011 1.016 0.969 0.89 0.491 -0.515 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.178 1.149 1.095 0.959 0.554 -0.294 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.161 1.163 1.152 1.07 0.685 -0.276 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03890 HG03890 -1.938 -1.976 -2.022 -2.294 -2.508 -2.365 -2.207 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.908 -1.936 -1.988 -2.042 -1.956 -2.101 -2.216 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.515 -1.477 -1.499 -1.526 -1.301 -1.481 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.458 -1.34 -1.226 -1.243 -1.082 -1.252 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03894 HG03894 2.065 1.784 1.304 0.768 -0.053 -0.987 -1.189 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.914 1.616 1.262 0.726 0.084 -0.994 -1.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.381 1.271 1.024 0.642 0.029 -1.059 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.99 0.949 0.863 0.657 0.175 -1.171 -0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03895 HG03895 0.3 0.061 -0.239 -0.46 -0.389 0.101 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.167 -0.271 -0.442 -0.563 -0.42 0.284 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.513 -0.594 -0.71 -0.699 -0.51 0.007 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.566 -0.645 -0.74 -0.776 -0.56 -0.078 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03897 HG03897 1.787 1.798 1.797 1.824 1.622 1.489 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.722 1.705 1.802 1.801 1.652 1.455 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.861 1.828 1.826 1.797 1.67 1.459 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.006 1.945 1.866 1.761 1.669 1.465 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03898 HG03898 0.382 0.594 0.629 0.594 0.368 0.007 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.716 0.83 0.828 0.737 0.47 0.116 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.033 1.092 1.154 1.05 0.685 0.26 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.939 0.991 1.081 1.069 0.753 0.319 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03899 HG03899 -0.438 -0.462 -0.645 -1.012 -1.399 -0.983 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.533 -0.564 -0.799 -1.067 -1.35 -0.957 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.084 -1.122 -1.137 -1.219 -1.306 -1.088 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.338 -1.401 -1.377 -1.351 -1.382 -1.122 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03900 HG03900 0.124 0.019 -0.027 -0.339 -1.102 -1.588 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.055 -0.054 -0.053 -0.37 -1.104 -1.773 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.005 0.104 0.161 -0.095 -1.038 -1.838 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.308 0.408 0.455 0.273 -0.716 -1.876 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03902 HG03902 -0.501 -0.292 -0.137 -0.081 -0.245 -0.32 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.243 -0.19 -0.058 -0.076 -0.271 -0.338 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.276 0.302 0.328 0.257 -0.266 -0.411 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.642 0.629 0.614 0.507 -0.064 -0.487 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03905 HG03905 0.36 0.423 0.487 0.254 0.116 0.04 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.48 0.464 0.387 0.074 -0.159 -0.018 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.213 0.114 -0.015 -0.115 -0.4 -0.229 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.109 -0.18 -0.303 -0.318 -0.479 -0.258 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03906 HG03906 0.965 1.005 1.098 0.958 1.013 0.727 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.252 1.272 1.307 1.231 1.284 0.838 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.615 1.566 1.511 1.418 1.551 0.927 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.52 1.494 1.449 1.401 1.567 0.959 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03907 HG03907 0.441 0.324 0.262 -0.041 -0.592 -1.026 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.211 0.113 0.093 -0.158 -0.648 -1.187 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.106 -0.127 -0.087 -0.115 -0.531 -1.304 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.26 -0.274 -0.276 -0.208 -0.408 -1.318 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03908 HG03908 2.804 3.149 3.398 3.555 3.333 2.267 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.857 3.128 3.363 3.608 3.256 2.368 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.401 2.579 2.715 2.937 3.01 2.326 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.046 2.144 2.227 2.436 2.637 2.311 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03910 HG03910 -2.525 -2.346 -2.251 -1.637 -1.059 -0.428 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.489 -2.394 -2.249 -1.868 -1.413 -0.643 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.174 -2.098 -2.03 -1.807 -1.647 -0.862 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.74 -1.771 -1.793 -1.687 -1.649 -0.899 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03911 HG03911 0.576 0.605 0.476 0.211 -0.073 -0.371 -1.332 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.76 0.686 0.384 0.026 -0.02 -0.288 -1.384 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.761 0.601 0.361 0.045 0.074 -0.228 -1.452 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.502 0.43 0.315 0.091 0.107 -0.163 -1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03913 HG03913 -0.265 -0.231 -0.012 0.318 0.396 0.437 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.071 -0.036 0.098 0.297 0.242 0.401 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.268 0.283 0.284 0.227 0.015 0.069 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.371 0.368 0.314 0.295 -0.027 -0.079 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03914 HG03914 -1.216 -1.151 -1.086 -0.961 -0.646 -0.397 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.98 -0.986 -1.024 -1.203 -0.919 -0.631 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.949 -0.989 -1.051 -1.078 -1.157 -0.737 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.063 -1.046 -1.02 -1.031 -1.124 -0.745 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03916 HG03916 -1.707 -1.672 -1.461 -1.153 -0.557 -0.114 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.615 -1.547 -1.339 -0.983 -0.538 0.086 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.337 -1.256 -1.087 -0.909 -0.586 0.16 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.239 -1.218 -1.102 -0.96 -0.692 0.178 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03917 HG03917 -0.842 -0.969 -1.379 -1.685 -1.869 -1.025 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.946 -1.159 -1.443 -1.873 -2.054 -1.276 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.188 -1.348 -1.498 -1.742 -2.051 -1.598 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.316 -1.375 -1.421 -1.571 -1.936 -1.613 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03919 HG03919 1.044 0.919 0.816 0.885 1.274 1.983 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.924 0.802 0.69 0.751 1.186 1.999 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.259 0.155 0.103 0.225 0.764 1.736 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.218 -0.316 -0.373 -0.197 0.335 1.631 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03920 HG03920 -0.914 -0.325 0.14 0.172 0.145 0.477 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.618 -0.259 -0.024 0.032 0.073 0.281 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.412 -0.329 -0.182 0.014 0.164 -0.011 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.167 -0.16 -0.11 -0.027 0.254 -0.044 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03922 HG03922 0.058 0.201 0.4 0.189 0.041 0.028 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.142 0.267 0.341 0.19 0.122 0.282 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.053 -0.002 -0.029 -0.123 0.065 0.496 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.221 -0.184 -0.184 -0.269 -0.185 0.561 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03925 HG03925 0.249 0.08 -0.146 -0.197 0.174 0.051 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.258 0.149 0.053 -0.03 0.209 0.048 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.482 0.445 0.378 0.384 0.44 0.059 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.786 0.775 0.751 0.702 0.704 0.116 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03926 HG03926 1.226 1.123 0.926 0.898 1.206 1.291 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.011 1.015 0.96 0.99 1.246 1.355 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.642 0.634 0.686 0.876 1.258 1.409 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.55 0.558 0.645 0.842 1.174 1.433 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03928 HG03928 1.18 1.039 0.801 0.511 -0.076 -0.15 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.835 0.79 0.574 0.238 -0.296 -0.42 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.247 0.203 0.156 -0.112 -0.538 -0.658 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.013 -0.003 -0.011 -0.141 -0.49 -0.743 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03930 HG03930 0.806 0.695 0.532 0.364 -0.081 -0.24 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.776 0.68 0.572 0.374 0.017 -0.262 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.784 0.717 0.643 0.442 0.066 -0.285 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.637 0.569 0.521 0.405 0.125 -0.329 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03931 HG03931 -0.515 -0.282 -0.203 -0.392 -0.504 -0.65 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.526 -0.341 -0.215 -0.281 -0.503 -0.625 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.537 -0.487 -0.391 -0.221 -0.326 -0.761 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.386 -0.43 -0.418 -0.278 -0.279 -0.769 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03934 HG03934 -0.399 -0.42 -0.346 -0.273 0.137 -0.106 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.155 -0.111 -0.065 -0.044 0.283 0.058 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.532 0.551 0.578 0.68 0.57 0.229 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.16 1.083 0.985 0.964 0.787 0.282 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03937 HG03937 1.511 1.57 1.423 1.235 0.725 0.435 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.853 1.781 1.576 1.267 0.742 0.391 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.853 1.713 1.517 1.306 0.931 0.308 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.771 1.691 1.541 1.417 1.106 0.323 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03940 HG03940 -0.16 0.034 0.174 0.416 0.589 0.19 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.086 0.278 0.408 0.581 0.723 0.367 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.603 0.702 0.734 0.798 0.731 0.777 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.595 0.672 0.711 0.678 0.67 0.883 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03941 HG03941 0.455 0.284 0.121 0.026 -0.041 -0.472 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.415 0.306 0.072 -0.175 -0.296 -0.492 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.064 -0.047 -0.171 -0.495 -0.697 -0.607 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.429 -0.562 -0.702 -0.842 -1.072 -0.639 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03943 HG03943 -0.282 -0.237 -0.299 -0.426 -0.163 -0.118 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.422 -0.406 -0.328 -0.321 -0.122 -0.093 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.318 -0.291 -0.218 -0.129 -0.002 -0.064 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.172 -0.122 -0.095 -0.093 -0.042 -0.061 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03944 HG03944 -0.275 -0.413 -0.409 -0.275 -0.067 0.832 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.524 -0.516 -0.457 -0.399 -0.439 0.451 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.642 -0.539 -0.44 -0.405 -0.518 0.082 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.757 -0.668 -0.577 -0.508 -0.498 0.014 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03945 HG03945 -0.451 -0.461 -0.518 -0.716 -0.901 -1.081 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.847 -0.815 -0.863 -0.923 -0.906 -0.961 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.364 -1.339 -1.385 -1.391 -1.078 -0.983 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.6 -1.61 -1.619 -1.55 -1.166 -1.005 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03947 HG03947 0.103 0.325 0.383 0.393 0.308 0.369 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.059 0.272 0.44 0.458 0.528 0.461 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.284 0.363 0.448 0.514 0.646 0.643 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.383 0.438 0.485 0.518 0.573 0.7 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03949 HG03949 0.605 0.51 0.424 0.271 0.18 0.079 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.32 0.292 0.306 0.306 0.201 0.061 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.114 0.104 0.124 0.259 0.298 0.185 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.428 0.362 0.228 0.119 0.278 0.239 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03950 HG03950 -0.39 -0.307 -0.161 -0.122 -0.414 -0.218 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.12 -0.051 0.016 0.033 -0.373 -0.217 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.193 0.192 0.169 0.222 -0.078 -0.336 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.275 0.203 0.113 0.143 0.05 -0.336 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03951 HG03951 1.062 1.095 1.11 1.055 1.075 0.699 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.252 1.303 1.301 1.24 1.204 0.925 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.169 1.16 1.188 1.195 1.274 1.116 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.789 0.786 0.815 0.926 1.145 1.15 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03953 HG03953 -1.258 -1.182 -0.941 -0.743 -0.467 -0.49 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.206 -1.104 -0.958 -0.729 -0.357 -0.245 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.127 -1.096 -1.039 -0.936 -0.382 -0.018 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.094 -1.135 -1.116 -0.991 -0.533 0.042 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03960 HG03960 0.474 0.595 0.685 0.66 0.797 0.751 -0.314 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.342 0.435 0.486 0.526 0.75 0.551 -0.28 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.432 0.439 0.433 0.643 0.726 0.556 -0.234 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.599 0.584 0.622 0.816 0.895 0.512 -0.223 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03963 HG03963 -1.772 -1.644 -1.589 -1.492 -1.192 -0.554 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.346 -1.294 -1.194 -1.195 -1.07 -0.43 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.128 -1.105 -1.075 -0.976 -0.825 -0.505 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.238 -1.246 -1.206 -0.991 -0.795 -0.498 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03965 HG03965 -0.502 -0.529 -0.419 -0.268 -0.147 -0.365 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.63 -0.683 -0.528 -0.36 -0.375 -0.633 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.743 -0.671 -0.555 -0.419 -0.477 -0.724 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.508 -0.425 -0.364 -0.336 -0.493 -0.714 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03967 HG03967 -0.513 -0.39 -0.304 -0.14 -0.085 -0.015 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.559 -0.447 -0.428 -0.32 -0.255 -0.22 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.51 -0.467 -0.507 -0.575 -0.443 -0.254 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.569 -0.531 -0.505 -0.567 -0.681 -0.246 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03968 HG03968 1.294 1.399 1.26 0.862 0.336 -0.389 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.439 1.44 1.299 0.954 0.398 -0.26 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.225 1.226 1.231 1.098 0.56 -0.232 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.971 0.992 1.071 1.086 0.658 -0.232 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03969 HG03969 1.035 1.206 1.302 1.326 1.397 1.889 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.865 0.99 1.076 1.156 1.438 1.868 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.631 0.601 0.618 0.72 1.345 1.802 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.485 0.491 0.55 0.702 1.249 1.773 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03971 HG03971 -0.619 -0.515 -0.151 0.412 0.929 0.917 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.652 -0.527 -0.15 0.491 0.955 0.965 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.009 0.085 0.347 0.65 1.025 0.968 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.621 0.624 0.702 0.811 1.032 0.983 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03973 HG03973 -1.12 -1.169 -1.248 -1.229 -1.094 -0.272 0.471 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.386 -1.375 -1.435 -1.27 -0.967 -0.106 0.431 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.485 -1.449 -1.445 -1.27 -0.798 -0.104 0.38 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.435 -1.425 -1.339 -1.162 -0.782 -0.091 0.368 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03974 HG03974 -0.374 -0.331 -0.341 -0.427 -0.448 -0.347 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.641 -0.616 -0.615 -0.588 -0.646 -0.586 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.981 -1.04 -1.069 -0.986 -1.009 -0.78 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.013 -1.073 -1.19 -1.364 -1.391 -0.84 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03976 HG03976 -0.95 -0.867 -0.658 -0.38 0.149 0.924 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.052 -0.899 -0.663 -0.224 0.317 0.908 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.721 -0.639 -0.464 -0.203 0.518 0.956 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.35 -0.34 -0.234 -0.095 0.46 0.978 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03977 HG03977 -0.538 -0.43 -0.278 -0.162 -0.016 0.067 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.469 -0.495 -0.34 -0.237 -0.092 -0.027 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.408 -0.487 -0.437 -0.224 -0.082 -0.182 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.116 -0.192 -0.255 -0.145 -0.022 -0.215 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03978 HG03978 0.321 0.3 0.155 0.015 0.272 0.682 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.33 0.284 0.147 0.118 0.264 0.449 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.638 0.565 0.453 0.436 0.452 0.481 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.037 0.987 0.888 0.714 0.638 0.515 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03985 HG03985 0.213 0.361 0.609 0.932 0.96 0.007 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.502 0.687 0.86 1.048 1.111 0.008 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.085 1.144 1.255 1.296 1.179 0.287 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.471 1.474 1.404 1.318 1.196 0.373 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03986 HG03986 -0.88 -0.75 -0.744 -0.773 -0.38 -0.106 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.058 -0.953 -0.832 -0.648 -0.336 -0.185 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.821 -0.768 -0.651 -0.489 -0.36 -0.44 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.637 -0.61 -0.533 -0.374 -0.339 -0.572 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03989 HG03989 0.2 0.182 0.084 0.008 -0.143 0.308 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.038 -0.122 -0.236 -0.371 -0.498 0.068 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.554 -0.617 -0.696 -0.714 -0.896 -0.308 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.927 -0.947 -1.037 -1.013 -1.065 -0.425 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03990 HG03990 -0.233 -0.136 -0.101 -0.066 0.176 0.607 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.281 -0.282 -0.173 -0.097 0.172 0.615 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.197 -0.158 -0.08 0.082 0.303 0.865 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.246 0.29 0.274 0.261 0.411 0.933 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03991 HG03991 0.209 0.292 0.288 0.294 0.786 0.957 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.376 0.346 0.334 0.245 0.614 0.912 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.6 0.571 0.504 0.433 0.633 0.793 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.798 0.783 0.641 0.477 0.641 0.782 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03992 HG03992 0.736 0.458 0.089 -0.332 -0.498 -0.367 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.365 0.223 0.037 -0.29 -0.573 -0.551 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.198 0.161 0.131 0.1 -0.222 -0.668 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.234 0.21 0.221 0.206 0.042 -0.66 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03995 HG03995 1.213 0.87 0.409 -0.172 -0.827 -1.01 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.617 0.313 -0.052 -0.573 -1.103 -1.069 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.405 -0.503 -0.665 -1.004 -1.501 -1.256 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.865 -0.903 -0.967 -1.196 -1.598 -1.363 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03998 HG03998 0.348 0.228 0.383 0.616 0.553 0.525 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.433 0.379 0.505 0.703 0.727 0.671 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.908 0.992 1.024 0.997 0.876 0.895 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.176 1.218 1.211 1.095 0.919 0.958 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG03999 HG03999 -0.085 -0.26 -0.213 -0.148 0.168 0.172 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.043 -0.134 -0.115 0.028 0.25 0.352 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.319 -0.334 -0.297 -0.237 0.042 0.511 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.554 -0.602 -0.636 -0.636 -0.347 0.547 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04001 HG04001 0.879 1.229 1.366 1.143 0.688 0.388 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.016 1.195 1.344 1.192 0.777 0.562 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.946 0.999 1.028 0.878 0.696 0.729 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.822 0.781 0.683 0.562 0.465 0.765 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04002 HG04002 0.587 0.598 0.41 0.379 0.439 0.744 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.571 0.635 0.507 0.496 0.57 0.881 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.66 0.7 0.68 0.578 0.722 1.059 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.514 0.515 0.553 0.556 0.631 1.122 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04003 HG04003 -0.729 -0.438 -0.024 0.119 0.077 -0.247 -0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.77 -0.542 -0.302 -0.048 0.098 -0.369 -0.911 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.519 -0.393 -0.329 -0.247 -0.089 -0.444 -0.799 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.125 -0.032 0.059 0.048 0.167 -0.548 -0.77 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04006 HG04006 0.851 0.858 0.663 0.524 0.44 0.317 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.128 1.039 0.907 0.867 0.758 0.457 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.528 1.515 1.384 1.25 1.168 0.626 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.638 1.599 1.551 1.365 1.253 0.692 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04014 HG04014 1.375 1.314 1.209 1.12 1.064 1.061 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.428 1.363 1.219 1.189 1.155 1.232 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.107 1.092 1.067 1.071 1.113 1.374 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.687 0.688 0.728 0.805 0.973 1.405 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04015 HG04015 -0.199 0.144 0.394 0.371 0.31 -0.558 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.323 0.007 0.281 0.381 0.287 -0.601 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.693 -0.502 -0.23 0.045 0.203 -0.465 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.663 -0.528 -0.318 -0.098 0.078 -0.45 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04017 HG04017 -2.579 -2.495 -2.09 -1.824 -1.18 0.497 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.587 -2.406 -2.133 -1.916 -1.545 0.144 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.613 -2.427 -2.184 -1.937 -1.826 -0.378 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.51 -2.361 -2.165 -1.966 -1.852 -0.52 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04018 HG04018 0.355 0.118 -0.106 -0.341 -0.722 -0.604 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.266 0.08 -0.18 -0.364 -0.605 -0.541 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.032 -0.048 -0.187 -0.352 -0.517 -0.453 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.342 -0.322 -0.282 -0.307 -0.334 -0.47 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04019 HG04019 -0.363 -0.28 -0.233 -0.239 -0.365 -0.534 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.117 -0.072 0.003 -0.083 -0.139 -0.457 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.11 0.147 0.19 0.116 0.276 -0.41 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.136 0.212 0.254 0.294 0.419 -0.348 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04020 HG04020 -0.891 -0.873 -0.758 -0.832 -0.937 -0.071 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.871 -0.798 -0.689 -0.786 -0.915 -0.225 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.543 -0.56 -0.555 -0.712 -0.832 -0.17 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.547 -0.599 -0.719 -0.911 -0.925 -0.136 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04022 HG04022 -0.526 -0.572 -0.438 -0.27 -0.029 0.103 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.555 -0.474 -0.173 0.004 0.231 0.182 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.243 -0.115 0.071 0.251 0.394 0.508 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.379 -0.19 0.043 0.223 0.356 0.586 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04023 HG04023 -1.551 -1.385 -1.023 -0.849 -0.55 -0.284 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.261 -1.149 -1.014 -1.021 -0.803 -0.336 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.37 -1.351 -1.329 -1.345 -1.237 -0.527 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.678 -1.67 -1.685 -1.613 -1.48 -0.583 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04025 HG04025 1.343 1.28 1.175 0.92 1.14 1.038 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.36 1.312 1.219 1.018 1.006 0.737 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.569 1.572 1.521 1.432 1.184 0.502 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.743 1.76 1.727 1.62 1.404 0.484 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04026 HG04026 0.218 0.338 0.445 0.519 0.633 0.462 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.457 0.517 0.554 0.574 0.588 0.591 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.824 0.853 0.869 0.673 0.457 0.676 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.955 0.995 0.992 0.836 0.547 0.67 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04029 HG04029 1.327 1.199 0.867 0.877 0.825 0.789 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.368 1.215 0.988 0.96 0.947 0.919 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.331 1.275 1.22 1.179 1.003 1.009 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.047 0.995 0.978 0.972 0.91 1.012 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04033 HG04033 0.047 -0.142 -0.322 -0.432 -0.275 -0.464 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.243 -0.414 -0.534 -0.534 -0.371 -0.459 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.706 -0.773 -0.78 -0.636 -0.442 -0.643 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.766 -0.783 -0.741 -0.561 -0.391 -0.668 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04035 HG04035 -0.162 -0.32 -0.606 -0.665 -0.446 0.122 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.334 -0.452 -0.679 -0.627 -0.339 0.133 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.807 -0.8 -0.835 -0.705 -0.165 0.208 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.956 -0.87 -0.801 -0.793 -0.291 0.23 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04036 HG04036 0.344 0.106 -0.141 -0.355 -0.352 -0.279 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.094 -0.003 -0.081 -0.231 -0.358 -0.281 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.211 0.174 0.181 0.162 -0.042 -0.289 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.365 0.323 0.312 0.272 0.196 -0.272 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG04039 HG04039 0.57 0.626 0.642 0.549 0.505 0.171 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.647 0.777 0.846 0.881 0.766 0.14 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.691 0.721 0.796 1.008 1.018 0.414 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.637 0.683 0.764 0.955 1.111 0.502 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04042 HG04042 0.544 0.142 -0.163 -0.569 -0.846 -0.763 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.18 -0.099 -0.404 -0.725 -0.741 -0.701 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.134 0.01 -0.104 -0.357 -0.54 -0.683 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.23 0.17 0.135 0.061 -0.301 -0.717 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG04054 HG04054 0.495 0.718 1.007 1.42 1.866 2.24 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.59 0.84 1.156 1.588 1.954 2.219 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.904 1.089 1.364 1.706 2.085 2.016 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.108 1.251 1.45 1.784 2.139 1.951 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG04059 HG04059 0.402 0.575 0.791 1.051 1.572 1.245 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.564 0.708 0.783 0.917 1.305 1.231 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.96 1.002 1.052 1.12 1.153 1.23 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.166 1.219 1.264 1.302 1.239 1.228 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04060 HG04060 -0.702 -0.776 -0.931 -1.162 -0.924 -0.201 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.782 -0.865 -0.962 -1.132 -0.904 -0.099 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.981 -1.041 -1.136 -1.203 -0.893 -0.257 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.153 -1.185 -1.177 -1.154 -0.919 -0.268 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04061 HG04061 -0.325 -0.444 -0.492 -0.553 -0.616 -0.666 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.712 -0.687 -0.632 -0.591 -0.608 -0.54 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.172 -1.112 -1.005 -0.815 -0.661 -0.562 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.228 -1.153 -1.02 -0.829 -0.755 -0.577 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04062 HG04062 1.137 1.043 0.939 0.927 1.051 1.338 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.208 1.071 0.917 0.74 0.773 1.106 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.87 0.705 0.551 0.531 0.612 0.744 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.79 0.681 0.58 0.672 0.773 0.653 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04063 HG04063 1.454 1.459 1.467 1.351 1.177 0.863 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.676 1.675 1.622 1.453 1.301 0.957 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.638 1.62 1.57 1.43 1.244 1.152 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.082 1.213 1.317 1.288 1.058 1.197 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04070 HG04070 0.535 0.422 0.404 0.199 -0.023 -0.806 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.182 0.134 0.145 0.021 0.038 -0.741 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.071 0.056 0.006 -0.218 -0.17 -0.784 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.087 0.017 -0.069 -0.303 -0.384 -0.837 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04075 HG04075 -0.074 -0.126 0.025 0.31 0.477 0.085 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.254 -0.308 -0.149 0.189 0.433 0.21 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.202 -0.201 -0.081 0.123 0.283 0.311 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.092 0.055 0.07 0.168 0.353 0.257 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04076 HG04076 -0.241 -0.217 -0.163 -0.106 -0.108 -0.839 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.114 0.134 0.068 0.059 0.029 -0.774 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.129 1.035 0.932 0.698 0.375 -0.408 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.714 1.665 1.508 1.147 0.711 -0.274 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG04090 HG04090 -0.566 -0.538 -0.22 0.031 0.15 0.063 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.155 -0.115 0.09 0.217 0.234 0.025 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.077 0.16 0.234 0.303 0.233 0.154 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.136 -0.085 -0.028 0.063 0.104 0.199 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04093 HG04093 -0.116 -0.07 0.139 0.201 0.659 1.408 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.195 -0.062 0.098 0.137 0.65 1.316 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.352 -0.268 -0.113 -0.014 0.473 1.191 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.523 -0.469 -0.348 -0.238 0.228 1.146 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04094 HG04094 -0.592 -0.682 -0.675 -0.821 -0.858 -0.548 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.611 -0.724 -0.729 -0.843 -0.884 -0.602 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.843 -0.876 -0.879 -0.834 -0.893 -0.574 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.914 -0.879 -0.854 -0.84 -0.916 -0.523 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04096 HG04096 -0.467 -0.403 -0.357 -0.191 0.034 0.186 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.643 -0.603 -0.54 -0.366 -0.083 0.121 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.218 -1.148 -1.077 -0.964 -0.509 0.094 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.655 -1.545 -1.45 -1.27 -0.836 0.068 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04098 HG04098 1.298 1.484 1.666 1.586 1.395 0.973 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.565 1.643 1.682 1.519 1.278 0.939 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.292 1.276 1.215 1.138 0.99 0.906 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.816 0.788 0.744 0.684 0.733 0.903 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04099 HG04099 -0.55 -0.824 -0.85 -1.018 -1.287 -1.079 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.787 -0.895 -0.823 -0.907 -1.076 -1.122 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.108 -1.103 -1.122 -1.286 -1.131 -0.902 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.28 -1.266 -1.313 -1.437 -1.391 -0.849 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04100 HG04100 0.409 0.356 0.268 0.096 -0.159 -0.175 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.739 0.666 0.569 0.267 -0.161 -0.237 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.468 1.395 1.243 0.799 0.065 -0.123 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.987 1.815 1.56 1.095 0.363 -0.125 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04106 HG04106 -0.167 -0.166 -0.354 -0.698 -0.658 -0.144 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.384 -0.375 -0.452 -0.656 -0.451 -0.015 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.09 -0.07 -0.056 -0.07 -0.208 -0.06 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.152 0.13 0.188 0.219 -0.045 -0.061 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04107 HG04107 0.014 0.118 0.303 0.465 0.786 1.191 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.055 0.193 0.315 0.396 0.653 1.133 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.323 0.352 0.331 0.319 0.405 0.939 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.152 0.112 0.049 0.069 0.089 0.864 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04118 HG04118 1.641 1.606 1.498 1.487 1.722 1.835 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.515 1.528 1.455 1.491 1.621 1.527 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.987 1.026 1.023 1.06 1.447 1.412 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.6 0.709 0.765 0.778 1.231 1.378 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04127 HG04127 0.153 0.241 0.436 0.458 0.338 0.183 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.206 0.219 0.352 0.294 0.075 0.027 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.037 0.027 0.071 0.021 -0.236 -0.302 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.222 -0.183 -0.167 -0.136 -0.364 -0.361 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04131 HG04131 -0.882 -0.706 -0.6 -0.383 0.042 0.332 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.757 -0.59 -0.489 -0.372 -0.111 0.239 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.81 -0.708 -0.541 -0.422 -0.269 0.073 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.837 -0.762 -0.655 -0.509 -0.366 0.027 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04132 HG04132 -0.071 -0.28 -0.386 -0.6 -0.885 -1.571 -2.207 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.255 -0.297 -0.359 -0.553 -0.811 -1.582 -2.216 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.143 0.098 0.051 -0.143 -0.562 -1.578 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.321 0.298 0.182 0.052 -0.366 -1.59 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04134 HG04134 -0.878 -1.02 -1.109 -1.247 -1.447 -1.162 -1.189 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.815 -0.886 -0.902 -1.07 -1.106 -1.223 -1.111 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.303 -0.346 -0.396 -0.497 -0.634 -1.216 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.174 0.105 0.051 -0.042 -0.242 -1.244 -0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04135 HG04135 0.939 1.134 1.427 1.759 2.166 1.54 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.039 1.249 1.522 1.878 2.266 1.709 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.297 1.499 1.74 2.104 2.355 1.851 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.285 1.443 1.698 2.031 2.375 1.87 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG04146 HG04146 0.018 -0.183 -0.273 -0.399 -0.678 -0.702 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.098 -0.035 -0.104 -0.308 -0.709 -0.609 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.176 -0.176 -0.139 -0.265 -0.742 -0.666 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.609 -0.595 -0.54 -0.477 -0.75 -0.674 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04147 HG04147 -2.46 -2.393 -2.286 -1.911 -1.27 -0.217 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.261 -2.178 -2.062 -1.849 -1.383 -0.301 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.812 -1.773 -1.718 -1.733 -1.793 -0.624 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.681 -1.693 -1.708 -1.735 -1.891 -0.782 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04150 HG04150 -0.481 -0.016 0.264 0.159 0.268 0.342 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.517 -0.28 -0.141 -0.177 0.104 0.377 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.546 -0.439 -0.384 -0.352 -0.074 0.256 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.228 -0.145 -0.078 -0.062 0.102 0.246 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04151 HG04151 0.608 0.753 0.806 0.663 0.584 0.284 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.443 0.568 0.584 0.57 0.591 0.457 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.265 0.368 0.383 0.433 0.599 0.467 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.384 0.403 0.426 0.501 0.629 0.477 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04152 HG04152 -0.068 -0.337 -0.69 -1.016 -1.008 -0.202 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.506 -0.724 -1.087 -1.228 -1.036 0.007 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.477 -1.58 -1.826 -1.99 -1.367 0.078 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.167 -2.212 -2.36 -2.407 -1.762 0.1 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04153 HG04153 -1.476 -1.516 -1.445 -1.371 -0.941 -0.257 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.359 -1.363 -1.376 -1.409 -1.031 -0.341 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.388 -1.347 -1.406 -1.468 -1.27 -0.337 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.456 -1.412 -1.418 -1.588 -1.426 -0.352 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04155 HG04155 0.462 0.501 0.729 0.867 0.985 1.034 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.681 0.786 0.932 1.083 1.134 1.031 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.831 0.898 0.936 1.117 1.336 1.072 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.61 0.702 0.814 0.962 1.301 1.092 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04156 HG04156 -1.54 -1.514 -1.19 -0.719 -0.388 -0.505 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.316 -1.176 -0.838 -0.456 -0.088 -0.249 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.704 -0.593 -0.356 -0.075 0.173 0.277 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.278 -0.21 -0.102 0.045 0.311 0.406 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04158 HG04158 1.189 1.17 1.166 1.101 0.724 0.437 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.353 1.411 1.535 1.531 1.101 0.544 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.107 2.107 2.205 2.208 1.763 0.919 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.468 2.432 2.402 2.424 2.025 1.056 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04159 HG04159 1.649 1.647 1.821 2.244 2.933 2.769 1.421 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.707 1.839 1.915 2.238 2.755 2.677 1.434 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.501 1.606 1.736 1.943 2.401 2.685 1.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.197 1.291 1.401 1.582 2.08 2.668 1.45 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04161 HG04161 1.8 2.038 2.164 2.173 2.108 1.827 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.041 2.107 2.154 2.206 2.215 1.877 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.197 2.189 2.193 2.184 2.334 1.93 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.201 2.185 2.21 2.197 2.42 1.962 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04164 HG04164 0.835 0.767 0.603 0.57 0.493 0.274 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.012 0.923 0.671 0.576 0.621 0.391 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.167 1.091 0.887 0.669 0.601 0.637 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.831 0.854 0.803 0.662 0.55 0.698 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04171 HG04171 -1.502 -1.565 -1.425 -1.036 -0.517 -0.554 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.365 -1.371 -1.334 -0.923 -0.463 -0.43 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.689 -0.735 -0.741 -0.674 -0.367 -0.298 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.145 -0.225 -0.386 -0.542 -0.352 -0.259 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04173 HG04173 1.185 1.015 0.934 0.744 0.615 0.371 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.957 0.82 0.716 0.422 0.353 0.21 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.371 0.279 0.198 0.107 -0.053 0.011 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.043 -0.113 -0.177 -0.224 -0.299 -0.03 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04174 HG04174 0.065 0.032 0.193 0.536 0.945 0.883 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.382 0.417 0.7 0.854 0.962 0.743 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.987 1.071 1.281 1.344 0.95 0.705 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.327 1.404 1.464 1.5 1.063 0.64 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04176 HG04176 -0.406 -0.688 -0.805 -0.446 -0.443 -0.581 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.386 -0.533 -0.696 -0.566 -0.645 -0.585 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.411 -0.475 -0.564 -0.76 -0.961 -0.492 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.662 -0.722 -0.859 -1.045 -1.19 -0.461 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04177 HG04177 0.41 0.534 0.696 0.639 0.635 0.623 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.533 0.644 0.772 0.682 0.623 0.596 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.442 0.544 0.656 0.679 0.534 0.777 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.395 0.446 0.497 0.474 0.486 0.818 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04180 HG04180 -0.082 0.006 0.204 0.479 0.758 1.05 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.114 0.107 0.192 0.412 0.702 0.931 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.284 0.22 0.233 0.363 0.81 0.958 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.515 0.483 0.475 0.529 0.892 1 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04182 HG04182 -0.281 -0.534 -0.467 -0.207 0.352 0.975 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.499 -0.636 -0.598 -0.399 0.015 0.909 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.951 -0.917 -0.868 -0.693 -0.322 0.757 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.177 -1.116 -1.027 -0.864 -0.44 0.713 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04183 HG04183 0.265 0.15 0.1 0.314 0.614 0.888 -0.314 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.254 0.134 0.113 0.289 0.562 0.799 -0.28 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.588 0.56 0.597 0.763 0.874 0.761 -0.234 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.055 1.017 0.997 1.083 1.229 0.78 -0.223 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04185 HG04185 -0.552 -0.422 -0.438 -0.359 0.091 0.237 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.624 -0.565 -0.592 -0.4 0.113 0.369 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.693 -0.665 -0.649 -0.346 0.216 0.547 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.436 -0.417 -0.399 -0.223 0.195 0.629 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04186 HG04186 -0.287 -0.002 0.322 0.726 0.82 0.304 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.153 0.106 0.42 0.851 0.974 0.494 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.308 0.465 0.677 0.986 1.076 0.751 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.677 0.717 0.776 0.919 1.082 0.813 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04188 HG04188 0.725 0.87 0.947 1.248 1.673 1.063 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.04 1.173 1.224 1.401 1.646 1.02 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.406 1.398 1.432 1.572 1.581 0.999 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.292 1.284 1.332 1.48 1.538 1.006 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04189 HG04189 -1.362 -1.348 -1.161 -0.92 -0.548 -0.278 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.451 -1.431 -1.261 -1.032 -0.568 -0.195 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.394 -1.316 -1.234 -1.093 -0.604 -0.163 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.31 -1.219 -1.12 -0.983 -0.612 -0.13 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04191 HG04191 -1.359 -1.473 -1.407 -1.084 -1.12 -1.55 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.681 -1.723 -1.552 -1.142 -1.093 -1.57 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.614 -1.542 -1.346 -1.05 -1.062 -1.535 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.282 -1.175 -1.045 -0.808 -0.85 -1.544 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04192 HG04192 -0.605 -0.57 -0.511 -0.362 -0.333 -0.649 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.738 -0.7 -0.558 -0.321 -0.26 -0.388 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.801 -0.74 -0.585 -0.334 -0.142 -0.341 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.72 -0.668 -0.578 -0.307 -0.051 -0.353 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04194 HG04194 -1.094 -1.149 -1.227 -1.202 -0.757 -0.392 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.845 -0.928 -1.037 -1.074 -0.848 -0.444 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.396 -0.51 -0.609 -0.789 -0.802 -0.558 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.029 -0.098 -0.275 -0.52 -0.746 -0.573 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04195 HG04195 1.445 1.525 1.593 1.445 1.115 0.855 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.368 1.411 1.508 1.424 1.176 0.846 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.428 1.458 1.504 1.553 1.322 0.647 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.595 1.535 1.471 1.466 1.32 0.63 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04198 HG04198 -1.733 -1.632 -1.669 -1.802 -1.591 -1.129 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.683 -1.66 -1.597 -1.605 -1.533 -1.036 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.651 -1.677 -1.654 -1.64 -1.531 -1.096 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.772 -1.814 -1.845 -1.801 -1.679 -1.097 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04200 HG04200 -0.236 -0.499 -0.682 -0.679 -0.536 0.307 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.31 -0.545 -0.682 -0.744 -0.571 0.298 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.698 -0.784 -0.902 -1.009 -0.914 0.022 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.965 -1.068 -1.196 -1.296 -1.163 -0.117 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04204 HG04204 1.635 1.634 1.683 1.877 1.925 1.62 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.726 1.788 1.888 2.003 2.022 1.875 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.429 1.549 1.711 1.797 1.908 2.092 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.051 1.148 1.309 1.482 1.593 2.073 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04206 HG04206 1.721 1.685 1.648 1.608 1.585 1.678 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.417 1.392 1.406 1.386 1.459 1.6 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.965 0.943 0.903 0.995 1.249 1.454 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.846 0.778 0.674 0.682 1.032 1.38 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04209 HG04209 0.383 0.301 0.056 0.056 0.132 0.421 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.547 0.436 0.255 0.177 0.148 0.353 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.574 0.537 0.472 0.481 0.336 0.477 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.545 0.541 0.526 0.539 0.513 0.539 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04210 HG04210 -0.706 -0.682 -0.584 -0.298 0.255 0.517 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.544 -0.577 -0.532 -0.21 0.257 0.287 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.459 -0.458 -0.411 -0.132 0.136 0.127 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.392 -0.379 -0.29 -0.124 0.079 0.076 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04211 HG04211 0.004 0.016 -0.004 0.121 0.163 0.525 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.131 0.168 0.25 0.441 0.39 0.555 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.053 0.101 0.145 0.29 0.52 0.552 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.191 -0.081 -0.002 0.133 0.448 0.573 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04212 HG04212 0.474 0.373 0.386 0.25 0.305 1.006 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.506 0.516 0.446 0.23 0.058 0.601 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.347 0.341 0.395 0.388 0.054 0.057 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.02 0.043 0.159 0.324 0.184 -0.085 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04214 HG04214 1.002 0.92 0.879 0.641 0.412 -0.32 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.858 0.792 0.694 0.555 0.413 -0.441 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.934 0.919 0.835 0.707 0.566 -0.411 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.811 0.835 0.853 0.835 0.647 -0.37 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04216 HG04216 0.328 0.381 0.612 0.642 0.458 0.097 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.31 0.455 0.591 0.629 0.317 -0.127 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.379 0.409 0.496 0.598 0.293 -0.298 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.248 0.269 0.264 0.355 0.269 -0.301 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04217 HG04217 -0.55 -0.724 -0.968 -1.288 -1.283 -0.806 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.501 -0.714 -0.908 -1.203 -1.204 -0.763 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.844 -0.965 -1.146 -1.403 -1.334 -0.863 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.344 -1.429 -1.543 -1.708 -1.585 -0.876 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04219 HG04219 0.227 0.277 0.526 0.615 0.52 0.573 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.24 0.423 0.603 0.727 0.673 0.638 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.237 0.383 0.477 0.651 0.68 0.825 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.001 0.141 0.273 0.378 0.578 0.877 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04222 HG04222 1.73 1.695 1.486 1.379 1.017 0.594 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.471 1.424 1.274 1.256 0.958 0.45 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.907 0.929 1.007 1.12 1.002 0.316 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.575 0.631 0.748 0.967 0.999 0.317 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04225 HG04225 0.878 0.894 1.026 1.295 1.392 0.645 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.791 0.875 1.01 1.302 1.516 0.762 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.482 0.599 0.747 1.047 1.601 0.91 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.353 0.48 0.66 0.945 1.601 0.97 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04227 HG04227 -0.966 -0.709 -0.489 -0.087 0.696 0.342 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1 -0.814 -0.549 -0.092 0.495 0.304 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.705 -0.585 -0.319 0.112 0.43 0.24 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.36 -0.291 -0.107 0.238 0.496 0.232 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04229 HG04229 -0.413 -0.584 -0.717 -0.798 -0.856 -0.724 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.294 -0.439 -0.498 -0.579 -0.665 -0.606 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.122 0.02 -0.011 -0.19 -0.361 -0.673 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.389 0.266 0.177 -0.005 -0.296 -0.669 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04235 HG04235 0.318 0.043 -0.241 -0.629 -0.988 -0.691 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.069 -0.263 -0.418 -0.658 -0.883 -0.724 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.224 -0.324 -0.403 -0.558 -0.714 -0.869 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.266 -0.328 -0.34 -0.375 -0.526 -0.88 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04238 HG04238 -0.134 -0.121 0.024 0.025 0.099 0.173 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.268 -0.287 -0.15 -0.076 0.056 0.152 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.37 -0.382 -0.328 -0.245 -0.152 -0.02 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.409 -0.379 -0.32 -0.257 -0.185 -0.144 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG04239 HG04239 -1.466 -1.526 -1.752 -1.721 -1.588 -0.964 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.363 -1.501 -1.727 -1.759 -1.681 -0.993 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.387 -1.497 -1.639 -1.77 -1.731 -1.153 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.415 -1.488 -1.597 -1.683 -1.744 -1.176 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00003 HGDP00003 0.543 0.245 0.18 0.086 -0.518 -1.671 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.346 0.2 0.093 -0.082 -0.541 -1.555 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.088 0.03 -0.123 -0.447 -0.859 -1.359 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.088 -0.155 -0.31 -0.604 -1.11 -1.385 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00007 HGDP00007 -0.503 -0.739 -0.96 -1.203 -1.135 -1.192 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.781 -0.952 -1.133 -1.283 -1.283 -1.23 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.032 -1.156 -1.257 -1.333 -1.358 -1.504 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.822 -0.878 -0.948 -1.043 -1.133 -1.541 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00011 HGDP00011 -0.719 -0.845 -0.649 -0.146 0.01 0.129 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.612 -0.722 -0.563 -0.162 0.056 0.252 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.434 -0.44 -0.441 -0.421 -0.062 0.45 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.367 -0.308 -0.27 -0.4 -0.117 0.534 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00015 HGDP00015 1.544 1.492 1.388 1.177 0.814 0.169 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.579 1.457 1.328 1.177 0.93 0.156 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.673 1.585 1.426 1.314 0.974 0.296 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.726 1.685 1.584 1.397 1.062 0.31 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00017 HGDP00017 2.012 1.986 2.021 2.097 2.366 2.258 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.798 1.763 1.794 1.788 2.175 2.362 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.559 1.562 1.499 1.53 1.775 2.31 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.399 1.337 1.242 1.265 1.556 2.247 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00021 HGDP00021 -1.701 -1.565 -1.477 -1.195 -0.269 1.05 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.698 -1.583 -1.464 -1.146 -0.341 0.944 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.303 -1.229 -1.056 -0.762 -0.377 0.768 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.773 -0.767 -0.696 -0.504 -0.246 0.724 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00023 HGDP00023 0.979 0.98 0.963 1.053 0.751 -0.094 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.205 1.169 1.167 1.22 0.849 -0.039 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.792 1.765 1.688 1.596 0.943 0.04 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.129 2.074 1.923 1.697 1.12 -0.004 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00025 HGDP00025 0.487 0.617 0.696 0.74 1.06 1.308 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.56 0.653 0.646 0.627 0.976 1.185 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.04 1.092 1.131 1.248 1.311 1.304 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.606 1.624 1.673 1.72 1.711 1.391 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00031 HGDP00031 -1.41 -1.354 -1.19 -1.026 -0.852 -0.474 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.394 -1.366 -1.252 -1.122 -1.057 -0.547 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.326 -1.335 -1.356 -1.281 -1.322 -0.75 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.356 -1.379 -1.45 -1.412 -1.451 -0.789 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00033 HGDP00033 -0.518 -0.298 -0.035 0.025 -0.562 -1.8 -2.011 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.192 -0.036 0.08 -0.007 -0.528 -1.716 -2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.168 0.216 0.203 0.038 -0.548 -1.52 -2.017 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.429 0.35 0.213 0.03 -0.464 -1.476 -2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00035 HGDP00035 -0.566 -0.614 -0.846 -1.109 -1.535 -1.813 -2.011 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.781 -0.847 -0.974 -1.168 -1.346 -1.522 -2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.883 -0.883 -0.93 -0.858 -0.857 -1.206 -2.017 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.552 -0.591 -0.617 -0.613 -0.601 -1.067 -2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00037 HGDP00037 1.097 0.946 0.786 0.772 0.457 0.128 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.433 1.297 1.06 0.921 0.463 0.064 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.742 1.675 1.572 1.372 0.709 0.003 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.494 1.522 1.577 1.449 0.907 0.022 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00039 HGDP00039 0.703 0.854 1.049 1.236 1.602 2.187 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.835 0.991 1.108 1.3 1.61 2.184 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.766 0.866 0.962 1.04 1.262 2.138 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.486 0.599 0.76 0.824 0.982 2.07 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00041 HGDP00041 0.363 0.412 0.47 0.41 0.262 -0.204 -0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.551 0.441 0.437 0.495 0.409 0.183 -0.911 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.868 0.805 0.716 0.791 0.658 0.564 -0.799 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.083 1.001 0.881 0.756 0.728 0.672 -0.77 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00043 HGDP00043 -1.655 -1.7 -1.676 -1.439 -1.147 -0.964 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.449 -1.456 -1.411 -1.144 -0.842 -0.887 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.862 -0.793 -0.772 -0.645 -0.568 -0.585 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.491 -0.486 -0.454 -0.456 -0.426 -0.536 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00045 HGDP00045 -1.014 -1.156 -1.35 -1.332 -1.36 -1.325 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.353 -1.418 -1.462 -1.363 -1.327 -1.308 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.387 -1.346 -1.218 -1.049 -1.078 -1.207 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.08 -1.05 -0.987 -0.872 -0.913 -1.145 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00047 HGDP00047 2.386 2.397 2.346 2.298 2.343 2.018 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.692 2.614 2.464 2.281 2.284 2.115 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.601 2.558 2.383 2.203 1.953 2.232 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.271 2.241 2.117 1.866 1.726 2.207 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00049 HGDP00049 -0.148 0.094 0.263 0.39 0.515 0.345 0.471 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.016 0.154 0.219 0.349 0.618 0.439 0.431 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.099 0.148 0.226 0.305 0.802 0.395 0.38 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.061 0.104 0.162 0.295 0.814 0.393 0.368 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00052 HGDP00052 0.088 -0.119 -0.393 -0.795 -0.828 -0.657 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.242 -0.353 -0.529 -0.845 -0.956 -0.814 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.521 -0.597 -0.672 -0.846 -1.012 -0.687 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.453 -0.45 -0.504 -0.688 -0.999 -0.599 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00054 HGDP00054 0.753 0.841 1.009 0.916 0.745 0.3 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.025 1.096 1.148 0.988 0.81 0.38 -1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.294 1.202 1.097 0.937 0.685 0.474 -1.247 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.142 0.993 0.82 0.658 0.483 0.517 -1.263 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00060 HGDP00060 1.081 1.153 1.126 0.712 0.417 0.307 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.096 1.101 1.071 0.698 0.577 0.43 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.185 1.174 1.052 0.886 0.747 0.514 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.09 1.052 0.985 0.878 0.798 0.561 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00064 HGDP00064 0.059 -0.028 -0.265 -0.289 -0.299 -0.459 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.483 -0.471 -0.543 -0.414 -0.121 -0.389 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.529 -0.57 -0.579 -0.34 0.069 -0.134 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.321 -0.332 -0.255 -0.071 0.222 -0.057 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00066 HGDP00066 1.363 1.459 1.471 1.504 1.618 2.079 0.863 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.226 1.246 1.251 1.304 1.534 1.921 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.432 1.417 1.364 1.483 1.77 1.823 0.79 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.73 1.732 1.774 1.88 2.033 1.849 0.78 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00068 HGDP00068 0.45 0.426 0.502 0.387 0.239 -0.017 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.371 0.296 0.358 0.3 0.187 -0.077 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.393 0.346 0.346 0.38 0.258 -0.098 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.539 0.491 0.503 0.533 0.407 -0.062 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00070 HGDP00070 -0.109 -0.18 -0.045 -0.138 -0.469 -0.817 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.272 -0.235 -0.089 -0.222 -0.227 -0.659 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.403 -0.347 -0.31 -0.448 -0.382 -0.341 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.387 -0.406 -0.413 -0.602 -0.539 -0.301 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00072 HGDP00072 1.34 1.444 1.472 1.209 1.028 0.374 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.471 1.523 1.457 1.204 1.041 0.373 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.547 1.492 1.387 1.188 0.941 0.288 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.39 1.294 1.159 0.978 0.882 0.2 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00074 HGDP00074 0.492 0.862 1.17 1.753 2.189 2.221 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.79 1.06 1.373 1.872 2.276 2.14 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.257 1.41 1.564 1.93 2.257 2.126 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.489 1.598 1.729 1.952 2.278 2.081 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00076 HGDP00076 -1.761 -1.719 -1.152 -0.694 -0.781 -1.623 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.129 -1.09 -0.844 -0.738 -0.818 -1.64 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.653 -0.704 -0.774 -0.972 -1.155 -1.628 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.627 -0.626 -0.697 -0.896 -1.257 -1.644 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00078 HGDP00078 0.391 0.155 -0.203 -0.336 -0.467 -0.645 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.116 0.001 -0.286 -0.455 -0.571 -0.678 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.111 -0.164 -0.255 -0.412 -0.613 -0.597 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.497 -0.503 -0.497 -0.512 -0.665 -0.551 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00080 HGDP00080 -1.226 -1.28 -1.196 -0.934 -0.752 -0.658 -0.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.164 -1.205 -1.159 -0.893 -0.786 -0.664 -0.2 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.808 -0.85 -0.896 -0.847 -0.793 -0.624 -0.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.735 -0.773 -0.797 -0.777 -0.836 -0.596 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00082 HGDP00082 -0.881 -1.052 -1.063 -0.705 -0.21 -0.397 -1.332 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.893 -0.919 -0.991 -0.621 -0.036 -0.195 -1.384 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.866 -0.847 -0.855 -0.621 0.061 0.281 -1.452 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.655 -0.686 -0.666 -0.533 0.056 0.388 -1.469 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00086 HGDP00086 -1.84 -2.048 -2.119 -1.671 -0.643 0.364 1.028 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.89 -1.976 -1.94 -1.491 -0.529 0.289 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.587 -1.53 -1.405 -1.048 -0.341 0.489 1.038 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.401 -1.311 -1.151 -0.887 -0.316 0.596 1.038 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00088 HGDP00088 0.796 0.792 0.665 0.594 0.645 0.653 -0.314 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.902 0.773 0.691 0.695 0.726 0.586 -0.28 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.989 0.895 0.882 0.956 0.901 0.497 -0.234 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.019 1.024 1.086 1.135 0.99 0.439 -0.223 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00092 HGDP00092 0.32 0.435 0.638 1.3 1.904 1.835 2.613 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.191 0.22 0.465 0.997 1.759 2.177 2.72 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.114 -0.038 0.129 0.475 1.315 2.105 2.866 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.444 -0.395 -0.227 0.231 1.035 2.023 2.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00094 HGDP00094 0.305 0.358 0.043 -0.363 -0.673 -0.864 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.158 0.055 -0.217 -0.632 -0.67 -0.739 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.351 -0.499 -0.694 -0.936 -0.952 -0.708 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.712 -0.803 -0.942 -1.077 -1.12 -0.757 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00096 HGDP00096 -0.257 -0.384 -0.688 -0.881 -0.967 -0.712 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.717 -0.891 -1.097 -1.311 -1.089 -0.675 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.137 -1.276 -1.455 -1.622 -1.432 -0.817 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.26 -1.394 -1.533 -1.65 -1.535 -0.894 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00098 HGDP00098 0.243 0.247 0.225 0.374 0.162 0.072 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.344 0.328 0.368 0.515 0.24 -0.021 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.36 0.396 0.543 0.563 0.464 0.056 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.332 0.435 0.582 0.649 0.561 0.128 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00099 HGDP00099 -0.005 0.102 0.396 0.67 0.69 0.861 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.096 0.317 0.578 0.91 0.81 0.727 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.288 0.492 0.734 1.086 1.226 0.873 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.523 0.617 0.814 1.105 1.388 0.974 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00100 HGDP00100 2.443 2.613 2.758 2.908 2.747 2.67 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.287 2.397 2.441 2.537 2.555 2.843 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.995 2.04 2.075 2.03 2.07 2.918 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.794 1.849 1.925 1.866 1.793 2.898 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00102 HGDP00102 -1.888 -1.892 -2.022 -2.148 -1.815 -0.814 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.744 -1.778 -1.932 -2.082 -1.851 -0.954 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.362 -1.462 -1.571 -1.602 -1.533 -1.077 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.81 -0.932 -1.075 -1.182 -1.23 -1.033 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00103 HGDP00103 -1.981 -1.87 -1.671 -1.278 -0.773 -0.158 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.388 -1.285 -1.134 -0.873 -0.65 -0.395 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.835 -0.776 -0.669 -0.434 -0.263 -0.643 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.289 -0.292 -0.247 -0.157 0.002 -0.626 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00105 HGDP00105 -1.448 -1.375 -1.277 -1.544 -1.854 -1.872 -2.011 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.563 -1.486 -1.437 -1.513 -1.712 -1.803 -2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.433 -1.443 -1.496 -1.618 -1.606 -1.569 -2.017 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.315 -1.287 -1.286 -1.47 -1.493 -1.523 -2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00106 HGDP00106 -1.473 -1.566 -1.641 -1.545 -1.073 -1.112 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.361 -1.439 -1.469 -1.363 -1.055 -1.067 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.225 -1.183 -1.154 -1.045 -0.969 -1.128 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.143 -1.066 -0.943 -0.835 -0.866 -1.17 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00109 HGDP00109 -1.651 -1.596 -1.471 -1.254 -1.148 -0.85 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.392 -1.386 -1.401 -1.334 -1.364 -1.054 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.021 -1.081 -1.133 -1.188 -1.25 -1.356 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.849 -0.865 -0.87 -0.904 -1.086 -1.365 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00110 HGDP00110 -2.691 -2.727 -2.68 -2.289 -2.039 -1.759 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.68 -2.675 -2.547 -2.224 -2.161 -2.004 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.401 -2.33 -2.143 -1.818 -1.9 -2.264 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.061 -2.001 -1.841 -1.532 -1.594 -2.29 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00115 HGDP00115 -0.378 -0.185 -0.067 0.036 0.109 0.204 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.41 -0.23 -0.09 0.035 0.105 0.145 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.314 -0.28 -0.172 0.047 0.279 0.067 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.231 -0.195 -0.088 0.189 0.405 0.081 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00118 HGDP00118 0.458 0.631 0.561 0.335 0.263 -0.338 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.704 0.787 0.69 0.447 0.347 -0.167 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.155 1.147 0.99 0.797 0.532 0.065 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.117 1.072 0.997 0.912 0.691 0.106 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00119 HGDP00119 -0.883 -0.793 -0.608 -0.444 -0.798 -1.199 -1.189 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.798 -0.706 -0.574 -0.433 -0.803 -1.313 -1.111 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.346 -0.219 -0.052 -0.078 -0.514 -1.379 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.06 0.166 0.313 0.309 -0.127 -1.369 -0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00120 HGDP00120 -1.753 -1.636 -1.359 -1.173 -0.742 0.174 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.892 -1.776 -1.604 -1.272 -0.748 0.12 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.792 -1.799 -1.761 -1.645 -1.072 0.071 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.672 -1.603 -1.543 -1.567 -1.181 -0.014 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00122 HGDP00122 -3.617 -3.396 -2.992 -2.409 -1.934 -0.954 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -3.42 -3.186 -2.739 -2.223 -1.936 -1.272 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -3.158 -3.029 -2.752 -2.263 -1.767 -1.311 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -3.032 -2.976 -2.847 -2.449 -1.921 -1.237 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00127 HGDP00127 -1.587 -1.506 -1.509 -1.544 -1.468 -0.786 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.49 -1.531 -1.563 -1.582 -1.539 -0.707 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.367 -1.501 -1.624 -1.646 -1.503 -0.651 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.528 -1.621 -1.712 -1.661 -1.59 -0.564 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00129 HGDP00129 -1.024 -0.877 -0.925 -1.292 -2.147 -2.867 -2.886 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.82 -0.768 -0.985 -1.378 -2.029 -2.848 -2.847 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.572 -0.638 -0.812 -1.129 -1.733 -2.683 -2.786 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.578 -0.548 -0.588 -0.72 -1.305 -2.673 -2.769 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00131 HGDP00131 0.455 0.366 0.296 0.437 0.512 0.611 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.271 0.259 0.237 0.302 0.201 0.343 1.536 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.226 0.196 0.197 0.178 -0.213 -0.005 1.598 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.323 0.276 0.25 0.175 -0.199 -0.133 1.614 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00133 HGDP00133 0.383 0.163 -0.2 -0.449 -0.474 -0.2 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.459 0.304 0.06 -0.259 -0.292 -0.022 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.494 0.456 0.328 0.076 -0.1 0.158 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.237 0.231 0.174 0.033 -0.14 0.212 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00134 HGDP00134 -0.8 -0.677 -0.452 -0.272 0.224 1.43 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.734 -0.627 -0.359 -0.033 0.321 1.519 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.398 -0.291 -0.102 0.207 0.465 1.465 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.205 -0.117 0.06 0.279 0.538 1.427 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00135 HGDP00135 0.177 0.004 -0.302 -0.627 -0.85 -1.155 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.178 -0.313 -0.403 -0.578 -0.751 -1.453 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.271 -0.31 -0.328 -0.301 -0.266 -1.272 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.195 -0.161 -0.187 -0.148 -0.078 -1.145 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00136 HGDP00136 0.45 0.751 0.971 1.509 1.939 1.786 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.548 0.708 0.841 1.208 1.553 1.474 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.763 0.742 0.74 0.805 1.088 1.145 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.93 0.873 0.8 0.793 0.906 1.041 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00137 HGDP00137 0.587 0.488 0.31 0.253 -0.038 -0.623 -0.473 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.548 0.423 0.312 0.236 0.153 -0.436 -0.501 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.416 0.385 0.319 0.228 0.438 -0.19 -0.54 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.048 0.094 0.157 0.195 0.451 -0.098 -0.549 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00139 HGDP00139 1.262 0.84 0.568 0.514 0.52 0.099 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.859 0.614 0.472 0.488 0.502 -0.019 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.515 0.489 0.461 0.48 0.488 0.127 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.206 0.249 0.334 0.427 0.423 0.192 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00140 HGDP00140 -0.015 0.058 0.278 0.485 0.515 -0.223 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.27 0.322 0.49 0.641 0.608 -0.187 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.817 0.835 0.934 0.997 0.815 -0.038 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.275 1.267 1.308 1.361 1.183 -0.014 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00141 HGDP00141 0.445 0.83 0.996 1.018 1.298 1.145 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.64 0.776 0.925 1.361 1.323 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.342 0.456 0.552 0.741 1.253 1.472 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.273 0.296 0.382 0.551 1.147 1.501 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00143 HGDP00143 -0.278 -0.282 -0.209 0.182 0.235 -0.186 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.037 -0.078 0.039 0.334 0.349 -0.154 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.311 0.369 0.465 0.562 0.51 0.099 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.327 0.38 0.473 0.539 0.548 0.19 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00144 HGDP00144 -0.731 -0.762 -0.715 -0.385 0.047 0.368 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.546 -0.55 -0.517 -0.256 0.085 0.503 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.555 -0.557 -0.507 -0.308 0.012 0.673 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.651 -0.702 -0.642 -0.495 -0.131 0.701 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00145 HGDP00145 0.121 -0.038 -0.428 -0.991 -1.464 -1.459 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.177 -0.353 -0.657 -1.101 -1.421 -1.439 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.225 0.029 -0.262 -0.503 -1.153 -1.468 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.702 0.492 0.233 -0.046 -0.726 -1.503 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00146 HGDP00146 -0.535 -0.54 -0.581 -0.447 0.003 0.571 0.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.392 -0.323 -0.336 -0.165 0.105 0.738 0.351 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.216 -0.08 0.043 0.266 0.314 0.822 0.33 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.007 0.064 0.222 0.366 0.422 0.855 0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00148 HGDP00148 -0.831 -1.067 -1.402 -1.391 -1.368 -1.082 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.002 -1.233 -1.461 -1.42 -1.266 -1.145 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.022 -1.064 -1.121 -1.041 -0.962 -1.018 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.844 -0.756 -0.644 -0.657 -0.657 -0.953 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00149 HGDP00149 -0.952 -1.103 -1.157 -1.084 -0.571 0.613 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.977 -1.02 -1.111 -1.099 -0.56 0.454 1.536 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.929 -0.958 -1.018 -0.954 -0.759 0.405 1.598 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.806 -0.871 -0.936 -1.001 -0.926 0.31 1.614 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00151 HGDP00151 0.973 0.699 0.373 -0.084 -0.652 -0.51 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.748 0.446 0.093 -0.392 -0.821 -0.473 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.143 -0.007 -0.264 -0.578 -0.8 -0.681 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.464 -0.564 -0.614 -0.621 -0.715 -0.691 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00153 HGDP00153 -0.867 -0.875 -0.885 -1.229 -1.87 -2.321 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.901 -0.991 -1.076 -1.443 -1.782 -2.427 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.688 -0.824 -0.986 -1.209 -1.497 -2.408 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.289 -0.358 -0.522 -0.72 -1.112 -2.366 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00154 HGDP00154 -1.224 -1.017 -0.831 -0.523 -0.238 0.145 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.039 -0.931 -0.709 -0.446 -0.271 0.136 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.648 -0.563 -0.445 -0.414 -0.251 0.029 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.359 -0.286 -0.158 -0.27 -0.367 0.019 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00155 HGDP00155 0.638 0.694 0.618 0.538 0.47 0.012 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.789 0.775 0.649 0.597 0.661 0.256 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.46 0.515 0.52 0.515 0.516 0.63 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.104 -0.033 0.05 0.126 0.232 0.678 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00158 HGDP00158 -0.061 -0.238 -0.537 -0.527 -0.298 -0.43 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.038 -0.274 -0.584 -0.546 -0.199 -0.371 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.06 -0.025 -0.231 -0.182 -0.042 -0.204 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.122 0.162 0.181 0.117 0.177 -0.153 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00161 HGDP00161 -0.49 -0.442 -0.392 -0.5 -0.398 -0.893 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.441 -0.347 -0.251 -0.33 -0.446 -0.903 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.56 -0.558 -0.527 -0.525 -0.626 -0.929 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.824 -0.851 -0.882 -0.901 -0.894 -0.916 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00167 HGDP00167 0.816 0.728 0.593 0.654 0.664 0.774 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.839 0.758 0.764 0.77 0.776 0.824 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.008 1.026 1.012 0.972 0.882 1.003 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.094 1.167 1.231 1.283 1.097 1.021 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00169 HGDP00169 0.783 0.688 0.679 0.547 0.54 0.983 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.709 0.639 0.624 0.667 0.676 1.135 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.181 0.218 0.218 0.39 0.688 1.129 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.075 -0.051 0.002 0.117 0.544 1.097 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00171 HGDP00171 0.251 0.286 0.452 0.601 0.831 0.169 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.481 0.617 0.761 0.89 0.927 0.271 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.772 0.829 0.912 0.881 0.735 0.334 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.51 0.507 0.565 0.577 0.457 0.328 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00175 HGDP00175 -2.679 -2.668 -2.619 -2.704 -2.767 -3.405 -2.886 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.411 -2.365 -2.244 -2.341 -2.567 -3.412 -2.847 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.583 -1.512 -1.411 -1.5 -1.984 -3.453 -2.786 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.822 -0.853 -0.924 -1.099 -1.659 -3.425 -2.769 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00177 HGDP00177 -0.077 -0.039 -0.072 -0.012 0.402 0.083 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.193 -0.205 -0.196 -0.092 0.297 0.116 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.145 -0.232 -0.288 -0.197 0.127 0.168 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.27 -0.355 -0.43 -0.361 -0.047 0.186 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00179 HGDP00179 1.982 1.976 1.908 1.646 1.443 1.832 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.683 1.73 1.657 1.563 1.514 1.868 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.075 1.082 1.036 1.08 1.375 1.902 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.991 0.956 0.895 0.859 1.213 1.873 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00181 HGDP00181 0.788 0.366 -0.138 -0.33 -0.728 -1.395 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.84 0.52 0.158 0.007 -0.389 -1.325 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.774 0.692 0.574 0.503 0.092 -0.939 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.591 0.619 0.647 0.549 0.259 -0.777 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00183 HGDP00183 1.433 1.593 1.571 1.636 1.865 2.539 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.501 1.473 1.335 1.32 1.637 2.596 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.285 1.163 0.956 0.802 1.116 2.534 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.862 0.805 0.745 0.595 0.758 2.497 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00187 HGDP00187 -2.33 -2.285 -2.097 -1.737 -1.028 -0.782 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.994 -2.005 -1.805 -1.444 -1.052 -0.858 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.61 -1.558 -1.536 -1.345 -1.065 -0.823 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.279 -1.281 -1.265 -1.2 -1.011 -0.85 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00189 HGDP00189 -0.765 -0.774 -0.732 -0.556 -0.584 -1.177 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.739 -0.693 -0.649 -0.374 -0.323 -1.12 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.406 -0.327 -0.253 -0.04 0.245 -0.826 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.292 -0.195 -0.028 0.232 0.44 -0.659 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00191 HGDP00191 0.785 0.712 0.483 0.427 0.488 0.29 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.532 0.512 0.434 0.41 0.473 0.252 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.3 0.349 0.366 0.491 0.575 0.365 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.343 0.419 0.505 0.612 0.688 0.428 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00192 HGDP00192 -0.304 -0.051 0.121 0.181 0.094 0.072 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.165 0.001 0.058 -0.032 -0.053 0.193 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.008 -0.001 -0.015 -0.073 -0.136 0.144 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.053 -0.009 -0.069 -0.043 -0.095 0.122 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00197 HGDP00197 0.5 0.51 0.654 0.909 1.192 1.802 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.209 0.25 0.458 0.77 1.054 1.776 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.036 0.098 0.235 0.467 0.886 1.599 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.141 0.189 0.268 0.461 0.829 1.529 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00199 HGDP00199 0.223 0.364 0.436 0.231 0.19 0.723 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.213 0.18 0.226 0.217 0.164 0.629 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.389 0.328 0.364 0.455 0.47 0.502 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.774 0.727 0.79 0.857 0.823 0.525 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00201 HGDP00201 -0.372 -0.529 -0.516 -0.306 -0.097 -0.696 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.493 -0.521 -0.496 -0.232 0.107 -0.593 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.254 -0.214 -0.211 -0.298 0.301 -0.177 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.058 0.101 0.097 -0.058 0.142 0.006 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00205 HGDP00205 0.317 0.445 0.43 0.608 0.632 1.209 1.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.559 0.539 0.458 0.571 0.568 0.954 1.536 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.634 0.548 0.478 0.438 0.529 0.524 1.598 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.656 0.602 0.547 0.486 0.53 0.352 1.614 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00206 HGDP00206 1.092 1.067 0.881 0.374 0.125 -0.451 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.969 0.932 0.694 0.347 0.178 -0.474 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.675 0.597 0.429 0.262 0.287 -0.335 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.457 0.384 0.259 0.144 0.335 -0.275 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00210 HGDP00210 -0.273 -0.265 -0.138 0.132 0.813 1.854 3.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.176 -0.189 -0.135 0.02 0.622 1.689 3.05 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.424 -0.404 -0.326 -0.145 0.237 1.33 3.075 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.677 -0.642 -0.56 -0.43 -0.016 1.196 3.081 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00214 HGDP00214 1.328 1.229 0.96 0.746 0.622 1.014 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.154 0.953 0.811 0.622 0.554 1.015 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.53 0.405 0.328 0.237 0.255 0.801 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.011 -0.046 -0.045 -0.062 -0.017 0.741 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00222 HGDP00222 -0.519 -0.47 -0.497 -0.568 -0.376 -0.381 0.614 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.84 -0.745 -0.782 -0.758 -0.615 -0.478 0.704 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.225 -1.183 -1.171 -1.14 -1.153 -0.87 0.829 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.461 -1.431 -1.386 -1.308 -1.381 -1.087 0.861 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00224 HGDP00224 -0.721 -0.682 -0.672 -0.818 -1.233 -1.821 -2.207 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.778 -0.772 -0.788 -0.82 -1.08 -1.806 -2.216 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.78 -0.762 -0.697 -0.601 -0.648 -1.865 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.728 -0.652 -0.556 -0.347 -0.296 -1.845 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00228 HGDP00228 -0.584 -0.645 -0.662 -0.605 -0.226 0.9 1.685 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.84 -0.824 -0.831 -0.676 -0.455 0.509 1.736 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.783 -0.72 -0.653 -0.451 -0.383 0.135 1.803 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.247 -0.223 -0.156 -0.071 -0.041 0.014 1.82 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00230 HGDP00230 0.776 1.07 1.137 1.075 0.77 0.197 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.815 1.001 1.058 0.976 0.738 0.295 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.716 0.781 0.863 0.837 0.684 0.167 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.753 0.767 0.829 0.864 0.72 0.149 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00234 HGDP00234 -0.01 0.068 0.173 0.164 0.091 -0.579 -1.189 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.132 0.149 0.23 0.188 0.028 -0.652 -1.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.164 0.157 0.202 0.015 -0.34 -0.885 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.234 0.181 0.126 -0.001 -0.411 -1.054 -0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00237 HGDP00237 0.239 -0.03 -0.324 -0.568 -0.92 -1.112 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.136 -0.31 -0.457 -0.656 -1.001 -1.067 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.592 -0.689 -0.781 -0.843 -1.25 -1.229 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.71 -0.741 -0.83 -0.835 -1.17 -1.327 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00239 HGDP00239 -0.564 -0.462 -0.383 -0.242 -0.223 -0.509 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.556 -0.444 -0.437 -0.346 -0.385 -0.713 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.452 -0.337 -0.275 -0.22 -0.43 -0.956 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.522 -0.468 -0.392 -0.327 -0.498 -1 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00241 HGDP00241 -2.27 -2.281 -2.188 -2.156 -2.366 -2.536 -3.029 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.16 -2.056 -1.94 -1.849 -2.037 -2.474 -3.12 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.332 -1.284 -1.223 -1.193 -1.247 -1.944 -3.235 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.668 -0.625 -0.561 -0.586 -0.805 -1.694 -3.262 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00243 HGDP00243 1.912 2.108 2.185 1.944 1.525 0.744 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.054 2.17 2.146 1.918 1.572 0.868 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.131 2.115 2.029 1.947 1.672 1.202 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.975 1.979 1.999 1.97 1.793 1.302 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00244 HGDP00244 -0.919 -0.893 -0.803 -0.847 -1.167 -1.568 -1.189 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.908 -0.903 -0.839 -0.882 -1.204 -1.66 -1.111 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.706 -0.66 -0.595 -0.61 -1.127 -1.702 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.437 -0.384 -0.288 -0.294 -0.788 -1.744 -0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00247 HGDP00247 -0.267 -0.572 -0.913 -1.324 -1.527 -0.528 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.715 -0.974 -1.275 -1.712 -1.843 -0.659 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.693 -1.812 -1.929 -2.031 -2.078 -1.204 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.147 -2.234 -2.221 -2.111 -2.128 -1.325 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00248 HGDP00248 -0.673 -0.567 -0.648 -0.478 -0.107 -0.126 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.273 -0.251 -0.368 -0.293 -0.094 0.021 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.128 0.087 0.03 -0.006 0.055 0.035 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.303 0.249 0.22 0.223 0.182 0.039 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00251 HGDP00251 -0.886 -0.824 -0.86 -1.054 -1.219 -0.253 -0.314 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.766 -0.73 -0.823 -1.072 -1.171 -0.25 -0.28 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.68 -0.701 -0.757 -0.798 -0.922 -0.263 -0.234 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.488 -0.525 -0.581 -0.67 -0.655 -0.217 -0.223 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00254 HGDP00254 -0.938 -1.029 -1.059 -0.875 -0.863 -0.003 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.948 -0.99 -0.949 -0.791 -0.763 0.038 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.041 -1.052 -1.022 -0.892 -0.679 0.152 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.105 -1.092 -1.025 -0.926 -0.759 0.226 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00258 HGDP00258 -1.18 -1.27 -1.261 -1.406 -1.332 -0.809 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.414 -1.416 -1.456 -1.533 -1.479 -0.743 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.71 -1.742 -1.807 -1.836 -1.724 -0.801 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.924 -1.947 -1.993 -2.002 -1.947 -0.801 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00259 HGDP00259 0.31 0.342 0.374 0.319 -0.296 -1.035 -1.385 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.382 0.381 0.377 0.299 -0.242 -0.856 -1.312 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.454 0.407 0.308 0.156 -0.237 -0.599 -1.208 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.503 0.47 0.389 0.263 -0.225 -0.533 -1.182 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00262 HGDP00262 0.682 0.914 0.954 1.057 0.817 0.179 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.007 1.07 1.053 1.037 0.856 0.155 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.144 1.093 1.015 0.949 0.831 0.232 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.084 1.037 0.916 0.741 0.724 0.257 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00264 HGDP00264 0.743 0.602 0.195 0.048 0.173 -0.021 -0.012 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.994 0.874 0.645 0.496 0.429 0.229 0 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.232 1.13 1.047 0.96 0.814 0.41 0.021 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.203 1.148 1.13 1.073 0.961 0.488 0.026 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00277 HGDP00277 0.891 0.885 0.856 1.144 1.096 0.633 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.045 0.924 0.762 0.812 0.93 0.557 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.182 1.072 0.966 0.555 0.618 0.406 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.864 0.801 0.692 0.438 0.319 0.373 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00281 HGDP00281 -1.121 -1.267 -1.322 -1.052 -0.854 -0.545 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.321 -1.413 -1.471 -1.272 -0.914 -0.665 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.431 -1.485 -1.502 -1.562 -1.226 -0.848 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.539 -1.582 -1.636 -1.606 -1.401 -0.93 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00285 HGDP00285 -1.611 -1.718 -1.716 -1.527 -1.424 -1.017 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.807 -1.803 -1.813 -1.621 -1.458 -1.139 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.88 -1.867 -1.835 -1.71 -1.428 -1.162 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.689 -1.631 -1.601 -1.49 -1.19 -1.184 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00290 HGDP00290 0.909 0.779 0.621 0.27 -0.19 -1.057 -2.207 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.919 0.819 0.688 0.463 0.129 -0.82 -2.216 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.992 0.977 0.939 0.865 0.654 -0.32 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.175 1.217 1.247 1.229 0.968 -0.178 -2.222 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00298 HGDP00298 0.948 1.002 1.201 1.514 1.335 1.1 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.107 1.131 1.255 1.492 1.454 1.106 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.141 1.201 1.362 1.4 1.505 1.123 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.859 0.928 1.065 1.194 1.346 1.113 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00302 HGDP00302 0.362 0.388 0.469 0.784 0.832 0.199 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.456 0.459 0.533 0.797 0.9 0.154 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.697 0.748 0.855 0.946 0.884 0.315 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.673 0.787 0.903 1.049 0.938 0.313 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00304 HGDP00304 0.054 -0.015 -0.138 -0.025 -0.12 -0.619 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.122 -0.221 -0.311 -0.2 -0.154 -0.653 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.006 -0.06 -0.091 -0.355 -0.375 -0.713 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.062 0.034 -0.051 -0.232 -0.441 -0.765 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00307 HGDP00307 -0.289 -0.249 -0.335 -0.392 -0.628 -1.364 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.328 -0.325 -0.321 -0.283 -0.376 -1.175 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.039 -0.048 -0.094 -0.084 -0.074 -0.704 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.177 0.226 0.229 0.224 0.11 -0.575 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00309 HGDP00309 -0.012 -0.233 -0.171 0.058 0.256 0.29 -0.314 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.225 0.213 0.215 0.333 0.507 0.35 -0.28 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.032 1.047 0.973 0.843 0.931 0.644 -0.234 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.456 1.479 1.441 1.302 1.256 0.725 -0.223 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00311 HGDP00311 0.975 0.775 0.601 0.582 0.467 -0.066 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.666 0.49 0.471 0.47 0.275 -0.165 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.184 0.15 0.119 0.127 0.042 -0.374 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.008 -0.023 -0.064 0.017 -0.086 -0.451 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00313 HGDP00313 -0.461 -0.401 -0.224 0.029 0.5 0.323 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.253 -0.234 -0.108 0.174 0.549 0.175 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.173 0.182 0.272 0.42 0.615 0.155 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.568 0.532 0.532 0.629 0.685 0.123 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00315 HGDP00315 1.627 1.707 1.774 1.823 1.726 1.238 1.293 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.929 1.97 1.953 1.964 1.766 1.271 1.336 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.023 2.016 2.008 2.02 1.751 1.38 1.393 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.901 2.037 2.144 2.206 1.857 1.368 1.408 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00321 HGDP00321 -1.159 -0.892 -0.449 0.062 0.65 0.931 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.594 -0.456 -0.213 0.274 0.918 1.145 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.101 -0.037 0.068 0.424 1.251 1.5 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.311 0.423 0.557 0.76 1.24 1.623 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00323 HGDP00323 2.19 1.967 1.639 1.18 0.656 0.359 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.246 1.986 1.709 1.247 0.794 0.443 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.959 1.834 1.619 1.455 1.122 0.642 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.808 1.785 1.718 1.549 1.296 0.72 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00330 HGDP00330 0.101 0.311 0.745 1.464 2.136 2.36 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.724 0.86 1.185 1.817 2.326 2.576 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.473 1.516 1.62 1.943 2.497 2.879 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.985 2.013 2.021 2.064 2.334 2.939 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00333 HGDP00333 0.159 0.004 -0.08 -0.253 -0.221 -0.721 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.203 0.017 -0.056 -0.163 -0.235 -0.711 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.029 -0.078 -0.194 -0.231 -0.31 -0.66 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.087 -0.125 -0.233 -0.291 -0.39 -0.694 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00346 HGDP00346 1.326 1.389 1.468 1.505 1.542 1.686 1.972 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.258 1.347 1.362 1.458 1.505 1.658 1.967 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.279 1.276 1.266 1.355 1.52 1.36 1.958 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.259 1.268 1.268 1.353 1.538 1.275 1.955 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00351 HGDP00351 1.096 1.088 1.428 1.568 1.2 0.664 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.263 1.345 1.545 1.6 1.285 0.82 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.291 1.381 1.493 1.473 1.357 1.177 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.077 1.193 1.319 1.306 1.267 1.263 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00356 HGDP00356 0.21 0.374 0.521 0.365 0.091 -0.213 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.432 0.556 0.683 0.462 0.144 -0.141 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.516 0.57 0.65 0.622 0.311 -0.128 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.63 0.654 0.69 0.741 0.532 -0.108 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00364 HGDP00364 -1.506 -1.197 -0.82 -0.532 -0.56 0.117 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.274 -1.15 -0.86 -0.65 -0.732 0.081 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.123 -1.039 -0.845 -0.669 -0.68 -0.243 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.024 -0.95 -0.788 -0.577 -0.542 -0.28 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00371 HGDP00371 -1.031 -0.823 -0.717 -0.444 -0.028 0.321 0.546 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.616 -0.539 -0.461 -0.35 -0.097 0.131 0.603 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.017 0.014 -0.019 -0.014 -0.15 0.137 0.678 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.242 0.273 0.258 0.104 -0.053 0.09 0.697 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00372 HGDP00372 -0.454 -0.493 -0.553 -0.643 -0.742 -0.896 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.626 -0.664 -0.638 -0.612 -0.65 -0.747 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.962 -0.941 -0.89 -0.934 -0.852 -0.534 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.118 -1.111 -1.073 -1.107 -1.03 -0.538 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00376 HGDP00376 0.768 0.987 1.236 1.523 2.061 2.643 2.168 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.928 1.068 1.199 1.437 2.012 2.665 2.167 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.139 1.14 1.204 1.24 1.748 2.733 2.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.015 0.991 0.976 0.97 1.439 2.719 2.161 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00382 HGDP00382 -0.054 -0.17 -0.21 -0.136 -0.127 -0.297 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.067 -0.14 -0.164 -0.126 -0.148 -0.21 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.068 0.021 -0.037 -0.019 -0.037 -0.33 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.426 0.384 0.294 0.271 0.17 -0.349 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00388 HGDP00388 -1.53 -1.427 -1.391 -1.426 -1.957 -1.843 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.402 -1.419 -1.458 -1.573 -2.113 -2.05 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.394 -1.474 -1.502 -1.611 -2.086 -2.422 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.317 -1.433 -1.437 -1.506 -1.884 -2.499 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00392 HGDP00392 -0.855 -1.026 -0.92 -0.748 -0.497 0.204 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.88 -1.022 -0.857 -0.745 -0.592 0.18 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.924 -0.93 -0.876 -0.748 -0.742 -0.009 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.902 -0.865 -0.859 -0.798 -0.77 -0.056 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00397 HGDP00397 1.297 1.232 1.046 1.02 0.633 0.38 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.456 1.386 1.242 1.168 0.834 0.462 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.589 1.578 1.586 1.433 1.244 0.451 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.59 1.6 1.593 1.634 1.474 0.471 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00402 HGDP00402 -0.162 -0.344 -0.645 -0.897 -1.081 -1.223 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.588 -0.7 -0.825 -0.937 -0.949 -1.151 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.763 -0.844 -0.89 -0.962 -0.909 -1.095 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.705 -0.712 -0.727 -0.81 -0.778 -1.134 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00407 HGDP00407 0.592 0.313 -0.049 -0.378 -0.746 -0.328 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.604 0.353 -0.054 -0.531 -0.8 -0.286 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.26 0.102 -0.153 -0.598 -0.812 -0.387 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.095 -0.175 -0.329 -0.629 -0.81 -0.381 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00412 HGDP00412 0.848 0.9 0.962 0.686 -0.479 -1.198 -1.189 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.618 0.722 0.747 0.528 -0.374 -1.233 -1.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.394 0.438 0.433 0.238 -0.369 -1.149 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.1 0.195 0.285 0.229 -0.273 -1.22 -0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00417 HGDP00417 -0.115 -0.128 -0.025 0.063 -0.049 0.025 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.257 -0.242 -0.108 -0.057 -0.168 -0.044 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.475 -0.483 -0.369 -0.262 -0.24 -0.147 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.585 -0.538 -0.429 -0.253 -0.162 -0.171 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00423 HGDP00423 0.056 0.037 -0.072 -0.222 -0.745 -1.186 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.127 0.137 0.079 -0.092 -0.673 -1.23 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.202 0.167 0.058 -0.078 -0.643 -1.129 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.227 0.217 0.114 -0.083 -0.618 -1.125 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00433 HGDP00433 -0.214 -0.25 -0.423 -0.545 -0.602 -0.835 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.164 -0.016 -0.247 -0.539 -0.639 -0.864 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.289 0.113 -0.107 -0.515 -0.825 -1.039 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.111 -0.185 -0.314 -0.614 -0.933 -1.131 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00438 HGDP00438 -0.3 -0.731 -1.146 -1.134 -0.926 -0.08 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.603 -0.964 -1.312 -1.328 -1.152 -0.246 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.847 -1.049 -1.223 -1.347 -1.245 -0.547 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.877 -1.02 -1.111 -1.262 -1.239 -0.569 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00444 HGDP00444 -0.336 -0.441 -0.451 -0.32 -0.103 -0.137 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.326 -0.326 -0.312 -0.14 0.032 -0.07 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.037 0.04 0.08 0.166 0.27 -0.041 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.37 0.351 0.327 0.332 0.406 -0.075 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00445 HGDP00445 -0.222 -0.143 -0.006 0.129 0.06 -0.062 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.017 0.058 0.183 0.192 0.115 0.121 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.628 0.576 0.655 0.753 0.449 0.253 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.048 0.966 0.967 1.022 0.613 0.335 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_C01 LP6005441-DNA_C01 -2.644 -2.629 -2.521 -1.952 -1.1 -0.447 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.353 -2.277 -2.187 -1.776 -1.13 -0.297 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.268 -2.178 -2.063 -1.787 -1.208 -0.183 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.254 -2.196 -2.044 -1.901 -1.301 -0.178 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_C03 LP6005441-DNA_C03 -0.436 -0.342 -0.27 -0.366 -0.297 -0.08 0.169 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.513 -0.459 -0.464 -0.491 -0.484 -0.232 0.151 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.297 -0.297 -0.343 -0.256 -0.473 -0.457 0.125 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.177 0.093 0.011 -0.017 -0.258 -0.474 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_C07 LP6005441-DNA_C07 1.582 1.666 1.886 2.014 1.661 1.47 1.224 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.828 1.918 1.985 2.002 1.846 1.647 1.234 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.775 1.762 1.784 1.787 1.849 1.996 1.243 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.579 1.554 1.605 1.634 1.708 2.095 1.244 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_C10 LP6005441-DNA_C10 1.046 1.186 1.182 0.977 0.192 -0.529 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.205 1.296 1.305 1.115 0.295 -0.506 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.018 1.086 1.129 1.049 0.378 -0.442 -0.644 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.62 0.699 0.796 0.868 0.412 -0.444 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_D01 LP6005441-DNA_D01 0.825 1.004 0.961 0.927 0.758 -0.162 -1.528 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.797 0.89 0.847 0.939 0.939 -0.08 -1.585 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.579 0.571 0.556 0.836 1.179 0.399 -1.657 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.543 0.593 0.66 0.757 1.135 0.547 -1.675 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_D03 LP6005441-DNA_D03 0.165 0.026 -0.256 -0.475 -0.698 -0.516 0.81 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.371 -0.547 -0.757 -0.904 -0.938 -0.669 0.904 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.043 -1.134 -1.242 -1.268 -1.451 -0.957 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.066 -1.106 -1.097 -1.106 -1.428 -1.161 1.066 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_D10 LP6005441-DNA_D10 0.073 0.146 0.163 0.047 -0.284 -0.58 -0.027 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.224 0.33 0.343 0.287 -0.051 -0.473 -0.049 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.366 0.4 0.421 0.424 0.172 -0.338 -0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.506 0.5 0.502 0.403 0.308 -0.295 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_E03 LP6005441-DNA_E03 0.346 0.127 -0.1 -0.153 -0.403 -0.484 -0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.371 0.087 -0.21 -0.508 -0.813 -0.759 -0.48 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.014 -0.187 -0.43 -0.938 -1.407 -1.204 -0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.446 -0.571 -0.752 -1.128 -1.61 -1.34 -0.429 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_E05 LP6005441-DNA_E05 -0.604 -0.566 -0.58 -0.431 -0.017 2.058 3.971 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.326 -1.345 -1.202 -0.807 -0.218 2.072 3.983 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.974 -2.027 -1.968 -1.664 -0.7 1.649 3.995 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.641 -1.716 -1.73 -1.676 -0.847 1.483 3.998 NA NA NA NA NA NA NA NA NA NA NA NA NA
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+NA21123 NA21123 0.12 0.225 0.318 0.288 0.008 -0.003 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.053 0.155 0.274 0.405 0.192 0.133 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.384 0.367 0.407 0.385 0.461 0.383 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.548 0.532 0.513 0.456 0.581 0.471 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21124 NA21124 -0.704 -0.54 -0.465 -0.279 -0.037 -0.133 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.78 -0.66 -0.424 -0.217 -0.117 -0.115 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.608 -0.491 -0.382 -0.24 -0.253 -0.077 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.449 -0.41 -0.38 -0.262 -0.36 -0.046 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21125 NA21125 0.272 -0.028 -0.437 -0.426 -0.37 -0.499 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.463 0.23 -0.052 -0.058 -0.176 -0.372 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.324 0.218 0.086 0.043 0.103 -0.274 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.179 0.103 0.038 0.051 0.177 -0.2 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21126 NA21126 0.921 0.924 0.916 0.721 0.594 0.161 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.03 1.034 1.041 0.897 0.626 0.21 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.124 1.043 1.038 1.019 0.766 0.381 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.141 1.047 0.967 0.964 0.763 0.411 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21127 NA21127 0.401 0.493 0.377 0.264 0.187 -0.279 -0.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.565 0.542 0.44 0.372 0.315 -0.359 -0.68 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.58 0.584 0.515 0.478 0.499 -0.307 -0.643 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.629 0.687 0.703 0.658 0.664 -0.319 -0.634 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21128 NA21128 0.586 0.554 0.591 0.616 0.329 0.04 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.67 0.686 0.711 0.627 0.404 0.14 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.671 0.615 0.574 0.435 0.293 0.226 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.515 0.41 0.247 0.083 0.054 0.242 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21129 NA21129 1.03 1.093 1.356 1.428 1.341 1.736 1.692 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.732 0.852 1.068 1.18 1.226 1.641 1.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.484 0.596 0.693 0.766 0.826 1.45 1.811 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.284 0.337 0.388 0.448 0.589 1.347 1.828 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21130 NA21130 1.158 0.953 0.943 1.115 1.365 1.35 1.978 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.133 1.057 1.187 1.323 1.469 1.338 1.973 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.231 1.324 1.475 1.555 1.486 1.242 1.964 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.129 1.208 1.327 1.444 1.412 1.209 1.962 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21133 NA21133 -0.249 -0.19 -0.192 -0.293 -0.344 -0.268 -0.512 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.782 -0.721 -0.609 -0.604 -0.511 -0.345 -0.482 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.261 -1.284 -1.275 -1.275 -1.164 -0.469 -0.44 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.612 -1.631 -1.611 -1.601 -1.524 -0.557 -0.43 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21135 NA21135 0.36 0.305 0.119 -0.243 -0.477 -0.138 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.27 0.174 -0.026 -0.368 -0.593 -0.258 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.159 0.018 -0.124 -0.241 -0.385 -0.541 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.417 0.242 0.072 -0.047 -0.101 -0.553 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21137 NA21137 -0.169 0.093 0.433 0.582 0.55 0.241 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.067 0.097 0.339 0.343 0.269 0.179 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.039 0.052 0.097 0.221 0.156 0.012 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.314 0.246 0.166 0.247 0.183 -0.005 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21141 NA21141 0.243 0.014 0.123 0.694 0.95 1.083 0.163 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.099 -0.126 -0.042 0.37 0.696 1.168 0.145 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.496 -0.51 -0.456 -0.31 0.203 1.073 0.119 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.874 -0.874 -0.786 -0.584 -0.295 1.081 0.112 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21142 NA21142 0.218 0.397 0.568 0.682 0.906 0.473 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.267 0.341 0.36 0.355 0.524 0.409 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.089 -0.045 0.039 0.071 0.199 0.256 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.324 -0.272 -0.199 -0.029 0.172 0.199 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21143 NA21143 0.208 0.152 0.078 -0.153 -0.399 -0.357 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.303 0.305 0.194 -0.103 -0.353 -0.244 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.577 0.532 0.489 0.335 -0.174 -0.236 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.907 0.784 0.644 0.482 -0.016 -0.207 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA21144 NA21144 0.515 0.666 0.814 0.801 0.492 0.418 -0.031 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.345 0.474 0.576 0.528 0.38 0.52 -0.054 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.09 0.151 0.206 0.234 0.35 0.531 -0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.136 -0.064 0.029 0.222 0.332 0.536 -0.092 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-CSA.scale b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-CSA.scale
index 872542ad..8e529dbd 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-CSA.scale
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-CSA.scale
@@ -1,11 +1,11 @@
 Param Mean SD
-SCORE_s0.2_lambda0.001 0.0391802749333333 0.0112811889754635
-SCORE_s0.2_lambda0.00127427498570313 0.0350865724592593 0.00940384268874754
-SCORE_s0.2_lambda0.00162377673918872 0.0288646317777778 0.00740071534552277
-SCORE_s0.2_lambda0.00206913808111479 0.0193478156592593 0.00521300858973182
-SCORE_s0.2_lambda0.00263665089873036 0.00880219432 0.00316801108876661
-SCORE_s0.2_lambda0.00335981828628378 0.00128683616927407 0.00158045006122974
-SCORE_s0.2_lambda0.00428133239871939 1.56758814814815e-05 0.00057143712407357
+SCORE_s0.2_lambda0.001 0.0392276709777778 0.0112478538324674
+SCORE_s0.2_lambda0.00127427498570313 0.0350784954666667 0.00938922971260644
+SCORE_s0.2_lambda0.00162377673918872 0.0288254812740741 0.00738771234948951
+SCORE_s0.2_lambda0.00206913808111479 0.0193966176888889 0.00520672948837085
+SCORE_s0.2_lambda0.00263665089873036 0.00887130811111111 0.00316180998918286
+SCORE_s0.2_lambda0.00335981828628378 0.0013756624105037 0.00157790393612476
+SCORE_s0.2_lambda0.00428133239871939 1.81839691851852e-05 0.000577378605785068
 SCORE_s0.2_lambda0.00545559478116852 0 0
 SCORE_s0.2_lambda0.00695192796177561 0 0
 SCORE_s0.2_lambda0.00885866790410083 0 0
@@ -19,13 +19,13 @@ SCORE_s0.2_lambda0.0483293023857176 0 0
 SCORE_s0.2_lambda0.0615848211066027 0 0
 SCORE_s0.2_lambda0.0784759970351462 0 0
 SCORE_s0.2_lambda0.1 0 0
-SCORE_s0.5_lambda0.001 0.0450151069185185 0.0127668075922708
-SCORE_s0.5_lambda0.00127427498570313 0.0391236018074074 0.0107889977502563
-SCORE_s0.5_lambda0.00162377673918872 0.0302729273925926 0.00850005087695943
-SCORE_s0.5_lambda0.00206913808111479 0.0213530407555556 0.00606253150900665
-SCORE_s0.5_lambda0.00263665089873036 0.01012978212 0.00364140802804855
-SCORE_s0.5_lambda0.00335981828628378 0.00102556170992593 0.00164134704441355
-SCORE_s0.5_lambda0.00428133239871939 2.75687807407407e-05 0.000560197530303796
+SCORE_s0.5_lambda0.001 0.0450591952296296 0.01275512856026
+SCORE_s0.5_lambda0.00127427498570313 0.0391972065185185 0.0107775839762128
+SCORE_s0.5_lambda0.00162377673918872 0.0302948466814815 0.00849141590657079
+SCORE_s0.5_lambda0.00206913808111479 0.0214390025481481 0.0060565513933907
+SCORE_s0.5_lambda0.00263665089873036 0.0102007554977778 0.00363285055157288
+SCORE_s0.5_lambda0.00335981828628378 0.00110946545762963 0.0016343738796944
+SCORE_s0.5_lambda0.00428133239871939 3.0285901037037e-05 0.000566036874577315
 SCORE_s0.5_lambda0.00545559478116852 0 0
 SCORE_s0.5_lambda0.00695192796177561 0 0
 SCORE_s0.5_lambda0.00885866790410083 0 0
@@ -39,13 +39,13 @@ SCORE_s0.5_lambda0.0483293023857176 0 0
 SCORE_s0.5_lambda0.0615848211066027 0 0
 SCORE_s0.5_lambda0.0784759970351462 0 0
 SCORE_s0.5_lambda0.1 0 0
-SCORE_s0.9_lambda0.001 0.0933984899259259 0.0245431310930464
-SCORE_s0.9_lambda0.00127427498570313 0.075929322962963 0.0205055977677868
-SCORE_s0.9_lambda0.00162377673918872 0.0564706531851852 0.0158084245526143
-SCORE_s0.9_lambda0.00206913808111479 0.0362225997925926 0.0105953065511078
-SCORE_s0.9_lambda0.00263665089873036 0.0160308771837037 0.00556748622921677
-SCORE_s0.9_lambda0.00335981828628378 0.00104346361140741 0.00193987742307128
-SCORE_s0.9_lambda0.00428133239871939 4.34355955555556e-05 0.000547292067102755
+SCORE_s0.9_lambda0.001 0.0934965432592593 0.0245359254847463
+SCORE_s0.9_lambda0.00127427498570313 0.0760247438518519 0.0204975732093944
+SCORE_s0.9_lambda0.00162377673918872 0.0565729292444445 0.01580046603844
+SCORE_s0.9_lambda0.00206913808111479 0.0363318332148148 0.0105852317607454
+SCORE_s0.9_lambda0.00263665089873036 0.0161041901748148 0.00555531193138898
+SCORE_s0.9_lambda0.00335981828628378 0.00112820339091852 0.00192235231351573
+SCORE_s0.9_lambda0.00428133239871939 4.64373017777778e-05 0.0005530363125032
 SCORE_s0.9_lambda0.00545559478116852 0 0
 SCORE_s0.9_lambda0.00695192796177561 0 0
 SCORE_s0.9_lambda0.00885866790410083 0 0
@@ -59,13 +59,13 @@ SCORE_s0.9_lambda0.0483293023857176 0 0
 SCORE_s0.9_lambda0.0615848211066027 0 0
 SCORE_s0.9_lambda0.0784759970351462 0 0
 SCORE_s0.9_lambda0.1 0 0
-SCORE_s1_lambda0.001 0.175774327259259 0.0441682662876332
-SCORE_s1_lambda0.00127427498570313 0.138379836592593 0.0360766332739692
-SCORE_s1_lambda0.00162377673918872 0.0992569857777778 0.0269226437104152
-SCORE_s1_lambda0.00206913808111479 0.0605634065333333 0.0167609422853315
-SCORE_s1_lambda0.00263665089873036 0.023698349882963 0.00755991096115021
-SCORE_s1_lambda0.00335981828628378 0.0011029218912 0.00212251591593685
-SCORE_s1_lambda0.00428133239871939 4.74208837037037e-05 0.000544430061275447
+SCORE_s1_lambda0.001 0.17593742237037 0.0441623571638438
+SCORE_s1_lambda0.00127427498570313 0.138538772148148 0.0360676652071765
+SCORE_s1_lambda0.00162377673918872 0.099369445037037 0.0269132999255465
+SCORE_s1_lambda0.00206913808111479 0.0606738409925926 0.0167524737922875
+SCORE_s1_lambda0.00263665089873036 0.0237972483037037 0.00754967894121667
+SCORE_s1_lambda0.00335981828628378 0.00118886585348148 0.00210148953942209
+SCORE_s1_lambda0.00428133239871939 5.04951025185185e-05 0.000550158010114444
 SCORE_s1_lambda0.00545559478116852 0 0
 SCORE_s1_lambda0.00695192796177561 0 0
 SCORE_s1_lambda0.00885866790410083 0 0
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EAS.profiles b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EAS.profiles
index 4f6fc4e0..5c08c3ba 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EAS.profiles
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EAS.profiles
@@ -1,738 +1,738 @@
 FID IID SCORE_s0.2_lambda0.001 SCORE_s0.2_lambda0.00127427498570313 SCORE_s0.2_lambda0.00162377673918872 SCORE_s0.2_lambda0.00206913808111479 SCORE_s0.2_lambda0.00263665089873036 SCORE_s0.2_lambda0.00335981828628378 SCORE_s0.2_lambda0.00428133239871939 SCORE_s0.2_lambda0.00545559478116852 SCORE_s0.2_lambda0.00695192796177561 SCORE_s0.2_lambda0.00885866790410083 SCORE_s0.2_lambda0.0112883789168469 SCORE_s0.2_lambda0.0143844988828766 SCORE_s0.2_lambda0.0183298071083244 SCORE_s0.2_lambda0.0233572146909012 SCORE_s0.2_lambda0.0297635144163132 SCORE_s0.2_lambda0.0379269019073225 SCORE_s0.2_lambda0.0483293023857176 SCORE_s0.2_lambda0.0615848211066027 SCORE_s0.2_lambda0.0784759970351462 SCORE_s0.2_lambda0.1 SCORE_s0.5_lambda0.001 SCORE_s0.5_lambda0.00127427498570313 SCORE_s0.5_lambda0.00162377673918872 SCORE_s0.5_lambda0.00206913808111479 SCORE_s0.5_lambda0.00263665089873036 SCORE_s0.5_lambda0.00335981828628378 SCORE_s0.5_lambda0.00428133239871939 SCORE_s0.5_lambda0.00545559478116852 SCORE_s0.5_lambda0.00695192796177561 SCORE_s0.5_lambda0.00885866790410083 SCORE_s0.5_lambda0.0112883789168469 SCORE_s0.5_lambda0.0143844988828766 SCORE_s0.5_lambda0.0183298071083244 SCORE_s0.5_lambda0.0233572146909012 SCORE_s0.5_lambda0.0297635144163132 SCORE_s0.5_lambda0.0379269019073225 SCORE_s0.5_lambda0.0483293023857176 SCORE_s0.5_lambda0.0615848211066027 SCORE_s0.5_lambda0.0784759970351462 SCORE_s0.5_lambda0.1 SCORE_s0.9_lambda0.001 SCORE_s0.9_lambda0.00127427498570313 SCORE_s0.9_lambda0.00162377673918872 SCORE_s0.9_lambda0.00206913808111479 SCORE_s0.9_lambda0.00263665089873036 SCORE_s0.9_lambda0.00335981828628378 SCORE_s0.9_lambda0.00428133239871939 SCORE_s0.9_lambda0.00545559478116852 SCORE_s0.9_lambda0.00695192796177561 SCORE_s0.9_lambda0.00885866790410083 SCORE_s0.9_lambda0.0112883789168469 SCORE_s0.9_lambda0.0143844988828766 SCORE_s0.9_lambda0.0183298071083244 SCORE_s0.9_lambda0.0233572146909012 SCORE_s0.9_lambda0.0297635144163132 SCORE_s0.9_lambda0.0379269019073225 SCORE_s0.9_lambda0.0483293023857176 SCORE_s0.9_lambda0.0615848211066027 SCORE_s0.9_lambda0.0784759970351462 SCORE_s0.9_lambda0.1 SCORE_s1_lambda0.001 SCORE_s1_lambda0.00127427498570313 SCORE_s1_lambda0.00162377673918872 SCORE_s1_lambda0.00206913808111479 SCORE_s1_lambda0.00263665089873036 SCORE_s1_lambda0.00335981828628378 SCORE_s1_lambda0.00428133239871939 SCORE_s1_lambda0.00545559478116852 SCORE_s1_lambda0.00695192796177561 SCORE_s1_lambda0.00885866790410083 SCORE_s1_lambda0.0112883789168469 SCORE_s1_lambda0.0143844988828766 SCORE_s1_lambda0.0183298071083244 SCORE_s1_lambda0.0233572146909012 SCORE_s1_lambda0.0297635144163132 SCORE_s1_lambda0.0379269019073225 SCORE_s1_lambda0.0483293023857176 SCORE_s1_lambda0.0615848211066027 SCORE_s1_lambda0.0784759970351462 SCORE_s1_lambda0.1
-HG00403 HG00403 -0.839 -0.708 -0.294 0.331 0.415 -0.12 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.441 -0.311 0.047 0.599 0.619 -0.079 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.227 0.403 0.721 1.047 0.952 0.191 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.759 0.873 1.035 1.222 1.123 0.299 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00404 HG00404 0.983 1.043 1.121 1.221 0.782 -0.17 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.386 1.485 1.513 1.376 0.742 -0.343 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.586 1.642 1.648 1.469 1.008 -0.409 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.789 1.816 1.711 1.57 1.131 -0.354 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00405 HG00405 0.684 0.677 0.683 0.915 0.622 -0.12 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.912 0.908 0.941 1.045 0.722 -0.079 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.948 1.015 1.135 1.259 1.082 0.189 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.096 1.13 1.146 1.31 1.21 0.325 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00406 HG00406 -0.516 -0.662 -0.783 -0.886 -0.826 -0.468 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.699 -0.775 -0.866 -0.801 -0.633 -0.167 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.872 -0.872 -0.851 -0.824 -0.548 -0.033 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.927 -0.908 -0.883 -0.793 -0.563 -0.026 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00407 HG00407 0.132 0.299 0.72 1.13 1.101 0.327 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.374 0.568 0.942 1.305 1.212 0.466 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.832 0.94 1.134 1.401 1.343 0.689 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.035 1.069 1.1 1.264 1.338 0.732 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00409 HG00409 -1.197 -1.153 -1.162 -1.024 -1.049 -0.568 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.105 -1.142 -1.132 -1.044 -0.99 -0.467 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.936 -1.031 -1.115 -1.157 -0.949 -0.491 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.789 -0.877 -0.982 -1.1 -0.922 -0.494 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00410 HG00410 1.183 1.121 1.038 0.914 0.28 -0.12 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.105 1.103 1.109 0.963 0.448 -0.079 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.982 1.031 1.109 1.045 0.659 0.191 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.011 1.025 1.019 1.05 0.795 0.299 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00419 HG00419 -0.757 -0.744 -0.74 -0.668 -0.044 0.236 0.415 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.587 -0.581 -0.562 -0.514 -0.009 0.495 0.426 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.509 -0.512 -0.544 -0.469 -0.039 0.674 0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.63 -0.587 -0.547 -0.43 -0.134 0.736 0.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00420 HG00420 1.043 0.926 0.791 0.842 1.546 1.987 2.249 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.868 0.84 0.881 0.84 1.353 2.06 2.263 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.533 0.552 0.593 0.68 1.058 2.064 2.28 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.089 0.078 0.136 0.318 0.729 2.066 2.284 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00429 HG00429 0.823 0.727 0.665 0.524 0.396 0.737 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.594 0.485 0.41 0.281 0.243 0.714 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.054 -0.08 -0.117 -0.202 -0.178 0.535 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.379 -0.394 -0.422 -0.486 -0.467 0.429 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00437 HG00437 -0.234 -0.228 -0.309 -0.425 -0.121 0.8 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.66 -0.597 -0.587 -0.629 -0.389 0.58 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.253 -1.247 -1.229 -1.083 -0.634 0.33 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.674 -1.643 -1.598 -1.407 -0.906 0.251 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00443 HG00443 2.288 2.353 2.364 2.326 1.999 1.015 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.432 2.461 2.431 2.407 2.219 1.19 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.501 2.546 2.524 2.438 2.564 1.804 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.532 2.539 2.478 2.38 2.537 1.989 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00445 HG00445 0.504 0.441 0.313 0.385 0.52 1.411 1.384 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.386 0.293 0.17 0.122 0.053 1.213 1.413 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.061 -0.189 -0.324 -0.399 -0.488 0.882 1.449 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.654 -0.694 -0.758 -0.731 -0.845 0.814 1.457 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00449 HG00449 0.919 0.891 0.882 0.908 0.896 1.081 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.702 0.763 0.736 0.895 0.929 1.223 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.573 0.607 0.65 0.737 0.937 1.181 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.585 0.595 0.606 0.725 0.866 1.169 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00451 HG00451 1.522 1.529 1.474 1.326 1.272 1.113 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.698 1.667 1.698 1.487 1.269 1.162 0.609 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.577 1.568 1.584 1.482 1.232 1.291 0.624 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.211 1.185 1.13 1.116 0.999 1.353 0.627 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00452 HG00452 0.1 0.152 0.402 0.751 0.868 0.404 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.316 0.353 0.49 0.766 0.797 0.474 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.409 0.431 0.499 0.658 0.758 0.521 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.364 0.418 0.479 0.598 0.824 0.523 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00453 HG00453 1.922 1.949 2.059 2.136 2.401 2.2 0.775 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.031 2.045 2.101 2.108 2.37 2.256 0.791 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.693 1.721 1.76 1.779 2.13 2.375 0.809 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.292 1.34 1.389 1.423 1.934 2.409 0.813 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00458 HG00458 -0.03 0.044 0.172 0.35 0.585 0.88 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.048 0.17 0.335 0.379 0.538 0.91 0.609 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.188 0.245 0.355 0.436 0.508 0.939 0.624 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.11 0.2 0.308 0.425 0.479 0.971 0.627 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00463 HG00463 0.505 0.553 0.506 0.133 -0.575 -0.983 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.731 0.712 0.663 0.259 -0.619 -1.161 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.006 0.957 0.854 0.584 -0.376 -1.34 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.192 1.158 1.012 0.791 -0.105 -1.329 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00464 HG00464 2.34 2.47 2.415 2.411 2.533 2.368 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.456 2.621 2.709 2.652 2.719 2.434 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.481 2.494 2.53 2.586 2.782 2.734 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.406 2.335 2.176 2.091 2.466 2.809 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00473 HG00473 1.399 1.406 1.207 1.113 1.21 1.319 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.853 0.77 0.686 0.597 0.893 1.468 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.033 -0.086 -0.124 -0.261 0.168 1.468 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.62 -0.728 -0.755 -0.755 -0.391 1.418 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00475 HG00475 1.53 1.382 1.088 1.14 1.205 0.587 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.766 1.631 1.46 1.362 1.195 0.697 -0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.906 1.863 1.806 1.639 1.288 0.746 -0.711 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.912 1.903 1.891 1.788 1.435 0.769 -0.696 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00476 HG00476 0.616 0.359 0.308 0.362 0.35 0.403 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.361 0.253 0.13 0.118 0.286 0.454 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.111 0.073 -0.088 -0.215 0.045 0.328 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.065 0.053 -0.039 -0.171 0.004 0.286 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00500 HG00500 1.459 1.366 1.194 1.177 1.128 0.752 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.57 1.449 1.331 1.156 1.042 0.738 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.409 1.347 1.294 1.144 0.939 0.601 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.159 1.121 1.102 1.054 0.938 0.573 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00502 HG00502 0.888 0.853 0.906 0.654 0.25 -0.17 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.051 1.088 1.031 0.609 0.127 -0.318 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.99 0.972 0.932 0.748 0.139 -0.426 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.771 0.768 0.752 0.723 0.267 -0.413 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00512 HG00512 -0.173 -0.159 -0.135 -0.278 -0.602 -0.751 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.096 0.127 0.073 -0.159 -0.626 -0.859 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.345 0.347 0.358 0.293 -0.327 -0.841 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.476 0.512 0.535 0.572 0.044 -0.786 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00524 HG00524 1.138 1.128 1.231 1.36 1.789 1.57 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.221 1.298 1.38 1.518 1.722 1.571 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.906 0.977 0.995 1.099 1.476 1.633 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.388 0.434 0.484 0.567 1.061 1.637 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00525 HG00525 1.827 1.99 2.081 2.328 2.703 3.759 3.475 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.616 1.782 1.936 2.071 2.516 3.401 3.478 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.121 1.138 1.179 1.474 2.208 2.806 3.481 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.983 1.005 1.07 1.265 2.108 2.621 3.482 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00526 HG00526 1.242 1.263 1.299 1.229 1.366 1.783 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.128 1.174 1.161 1.132 1.198 1.61 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.475 0.465 0.394 0.467 0.858 1.343 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.122 -0.134 -0.127 -0.075 0.517 1.244 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00543 HG00543 0.321 0.218 0.067 0.135 0.392 0.004 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.399 0.394 0.306 0.353 0.445 0.075 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.533 0.573 0.575 0.496 0.426 0.105 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.416 0.471 0.48 0.491 0.428 0.122 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00560 HG00560 1.4 1.524 1.638 1.7 2.177 2.165 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.426 1.564 1.641 1.689 2.193 2.314 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.484 1.443 1.428 1.47 2.039 2.43 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.479 1.416 1.325 1.279 1.86 2.451 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00590 HG00590 0.376 0.38 0.419 0.46 0.474 0.512 0.415 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.486 0.429 0.401 0.211 0.265 0.485 0.426 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.386 0.369 0.37 0.248 0.166 0.254 0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.304 0.303 0.349 0.429 0.248 0.218 0.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00613 HG00613 0.097 0.039 0.01 0.038 0.534 0.987 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.077 -0.064 0.019 0.093 0.593 1.047 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.094 -0.011 0.125 0.253 0.607 0.984 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.046 0.001 0.091 0.272 0.601 0.962 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00620 HG00620 0.124 0.01 -0.081 -0.128 -0.174 0.153 0.872 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.31 -0.318 -0.307 -0.303 -0.466 -0.117 0.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.46 -0.393 -0.262 -0.15 -0.477 -0.539 0.854 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.251 -0.165 -0.008 0.12 -0.255 -0.62 0.852 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00625 HG00625 0.188 0.134 0.103 0.435 0.965 0.668 0.415 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.22 0.2 0.218 0.468 1.041 0.987 0.426 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.451 0.472 0.536 0.681 1.076 1.383 0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.479 0.503 0.575 0.758 1.035 1.504 0.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00626 HG00626 0.212 0.11 0.046 -0.168 -0.591 -0.529 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.144 -0.123 -0.103 -0.244 -0.567 -0.653 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.826 -0.721 -0.579 -0.532 -0.612 -0.646 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.314 -1.17 -1.053 -0.911 -0.771 -0.663 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00629 HG00629 1.098 1.111 1.057 1.034 1.145 1.211 2.492 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.843 0.842 0.804 0.804 0.937 1.282 2.538 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.368 0.374 0.348 0.321 0.303 0.996 2.601 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.298 0.255 0.199 0.125 0.023 0.789 2.617 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00656 HG00656 0.679 0.871 1.188 1.505 1.917 1.519 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.219 1.367 1.503 1.602 1.898 1.57 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.745 1.772 1.813 1.695 1.8 1.433 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.719 1.73 1.692 1.658 1.69 1.372 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00658 HG00658 1.695 1.934 2.214 2.599 2.916 1.949 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.915 2.095 2.286 2.615 2.888 1.945 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.168 2.277 2.402 2.449 2.706 2.099 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.174 2.272 2.377 2.303 2.475 2.108 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00663 HG00663 -0.726 -0.688 -0.587 -0.473 -0.52 -0.485 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.654 -0.593 -0.463 -0.373 -0.262 -0.38 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.348 -0.343 -0.324 -0.291 -0.038 -0.08 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.193 -0.187 -0.204 -0.277 0.023 -0.005 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00672 HG00672 0.632 0.714 0.8 1.043 1.325 1.37 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.653 0.738 0.884 1.047 1.309 1.296 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.67 0.732 0.835 0.899 1.165 1.392 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.53 0.497 0.514 0.578 0.877 1.425 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00703 HG00703 1.804 1.961 2.082 2.168 2.386 2.859 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.841 1.968 2.06 2.077 2.237 2.658 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.558 1.625 1.685 1.515 1.689 2.414 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.126 1.2 1.225 1.077 1.196 2.275 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01802 HG01802 2.075 1.916 1.817 1.811 1.954 2.53 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.47 1.415 1.406 1.33 1.498 2.386 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.567 0.56 0.531 0.434 0.701 1.983 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.349 0.29 0.131 -0.031 0.179 1.809 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01804 HG01804 1.707 1.673 1.396 1.392 1.561 1.511 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.804 1.79 1.592 1.461 1.602 1.599 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.823 1.826 1.778 1.661 1.622 1.5 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.671 1.698 1.713 1.672 1.629 1.432 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01805 HG01805 -0.553 -0.539 -0.444 -0.331 -0.269 -0.39 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.764 -0.67 -0.579 -0.386 -0.288 -0.228 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.901 -0.776 -0.592 -0.366 -0.457 -0.161 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.787 -0.695 -0.571 -0.348 -0.426 -0.202 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01806 HG01806 -0.887 -0.808 -0.539 -0.309 0.086 0.482 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.15 -1.054 -0.831 -0.564 -0.175 0.442 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.44 -1.34 -1.189 -1.016 -0.702 0.38 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.468 -1.404 -1.361 -1.294 -0.99 0.315 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01808 HG01808 -0.411 -0.381 -0.403 -0.588 -0.677 -0.516 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.386 -0.409 -0.446 -0.704 -0.735 -0.72 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.644 -0.617 -0.583 -0.737 -0.725 -0.793 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.76 -0.698 -0.69 -0.691 -0.659 -0.78 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01809 HG01809 0.411 0.292 0.138 -0.012 -0.47 -1.272 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.27 0.15 0.014 -0.29 -0.711 -1.356 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.074 -0.002 -0.195 -0.585 -1.167 -1.492 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.237 -0.302 -0.455 -0.759 -1.326 -1.583 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01810 HG01810 0.83 0.825 0.811 0.598 0.169 0.491 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.403 0.429 0.412 0.29 0.026 0.299 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.184 -0.158 -0.154 -0.142 -0.157 0.059 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.359 -0.309 -0.254 -0.222 -0.15 -0.031 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01811 HG01811 1.726 1.661 1.289 0.751 -0.334 -0.799 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.525 1.392 1.144 0.618 -0.287 -0.926 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.202 1.112 0.976 0.597 -0.038 -1.011 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.122 1.146 1.159 0.902 0.287 -0.982 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01813 HG01813 -1.135 -0.864 -0.622 -0.614 -0.409 -0.412 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.877 -0.697 -0.634 -0.569 -0.345 -0.359 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.272 -0.232 -0.236 -0.321 -0.121 -0.386 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.142 0.156 0.159 0.064 0.136 -0.388 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01815 HG01815 -0.555 -0.439 -0.191 0.124 0.225 -0.924 -1.75 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.281 -0.082 0.145 0.453 0.638 -0.723 -1.778 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.533 0.675 0.869 1.145 1.239 -0.208 -1.811 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.179 1.245 1.328 1.459 1.58 -0.028 -1.819 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01816 HG01816 -1.655 -1.515 -1.254 -0.846 -0.246 -0.596 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.525 -1.344 -1.085 -0.808 -0.324 -0.408 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.964 -0.864 -0.683 -0.563 -0.427 -0.228 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.641 -0.653 -0.615 -0.543 -0.523 -0.204 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01817 HG01817 0.658 0.469 0.412 0.33 -0.255 -0.47 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.724 0.593 0.511 0.426 -0.019 -0.303 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.53 0.447 0.466 0.641 0.423 -0.173 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.504 0.429 0.418 0.729 0.626 -0.108 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01840 HG01840 -0.465 -0.436 -0.323 -0.285 -0.141 -0.452 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.506 -0.41 -0.233 -0.116 0.068 -0.417 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.389 -0.341 -0.229 0.014 0.389 -0.241 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.217 -0.16 -0.061 0.146 0.509 -0.128 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01841 HG01841 -1.09 -1.197 -1.487 -1.734 -1.759 -1.1 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.37 -1.553 -1.719 -1.861 -1.846 -1.107 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.531 -1.695 -1.772 -1.747 -1.838 -1.302 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.419 -1.533 -1.583 -1.552 -1.631 -1.347 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01842 HG01842 -0.775 -0.748 -0.768 -0.79 -0.61 0.052 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.994 -0.931 -0.887 -0.911 -0.76 -0.164 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.132 -1.048 -0.92 -0.759 -0.783 -0.57 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.904 -0.91 -0.839 -0.707 -0.672 -0.678 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01843 HG01843 -0.595 -0.736 -1.069 -1.349 -1.721 -1.174 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.726 -0.839 -1.038 -1.358 -1.577 -1.176 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.905 -0.916 -0.99 -1.265 -1.249 -1.097 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.981 -0.92 -0.904 -1.064 -1.135 -1.036 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01844 HG01844 0.508 0.323 0.272 0.521 1.128 1.604 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.161 0.107 0.184 0.431 1.206 1.889 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.258 0.3 0.362 0.449 1.019 1.89 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.281 0.354 0.442 0.509 0.932 1.849 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01845 HG01845 0.194 0.225 0.333 0.444 0.636 0.644 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.086 0.035 0.148 0.339 0.415 0.653 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.086 0.086 0.2 0.327 0.165 0.4 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.267 0.284 0.37 0.459 0.248 0.292 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01846 HG01846 -0.858 -1.192 -1.184 -0.891 -0.532 -0.022 0.415 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.198 -1.375 -1.443 -1.244 -0.922 -0.131 0.426 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.637 -1.623 -1.621 -1.654 -1.404 -0.182 0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.96 -1.949 -1.871 -1.817 -1.643 -0.211 0.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01847 HG01847 -0.013 -0.16 -0.244 -0.126 -0.042 -0.429 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.052 -0.076 -0.148 -0.152 -0.239 -0.533 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.2 0.102 0.051 -0.112 -0.351 -0.563 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.27 0.139 -0.01 -0.177 -0.416 -0.529 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01848 HG01848 -0.602 -0.663 -0.808 -0.891 -0.974 -0.669 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.47 -0.465 -0.462 -0.603 -0.816 -0.845 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.208 -0.146 -0.039 -0.077 -0.288 -0.973 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.005 0.073 0.119 0.186 0.043 -0.97 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01849 HG01849 -0.18 -0.274 -0.518 -0.776 -0.968 -0.652 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.072 -0.165 -0.314 -0.622 -0.894 -0.608 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.294 0.267 0.202 0.015 -0.603 -0.774 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.642 0.621 0.55 0.428 -0.273 -0.828 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01850 HG01850 0.827 0.891 1.103 1.215 1.545 2.78 3.295 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.587 0.633 0.755 0.778 1.116 2.445 3.296 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.197 0.169 0.239 0.307 0.539 1.781 3.296 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.219 0.189 0.137 0.068 0.336 1.54 3.296 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01851 HG01851 1.206 0.856 0.735 0.392 -0.001 -0.182 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.49 1.282 0.976 0.468 0.013 -0.283 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.397 1.253 1.075 0.743 0.208 -0.089 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.22 1.067 0.927 0.695 0.308 0 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01852 HG01852 0.219 0.111 0.14 0.161 0.152 -0.278 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.184 0.231 0.237 0.253 0.264 -0.282 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.538 0.604 0.655 0.59 0.555 -0.117 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.949 0.948 0.909 0.735 0.75 -0.066 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01853 HG01853 0.327 0.485 0.675 0.873 0.818 1.08 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.137 0.296 0.517 0.856 0.934 1.131 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.089 0.163 0.387 0.659 0.852 1.172 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.114 0.15 0.289 0.49 0.768 1.157 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01855 HG01855 -1.481 -1.039 -0.758 -0.461 -0.086 -0.094 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.966 -0.661 -0.465 -0.271 -0.068 -0.283 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.343 -0.227 -0.086 0.033 0.084 -0.283 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.068 -0.046 0.018 0.093 0.152 -0.231 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01857 HG01857 0.785 0.588 0.643 0.716 0.733 0.33 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.535 0.53 0.632 0.76 0.719 0.312 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.405 0.478 0.601 0.792 0.726 0.629 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.212 0.327 0.443 0.604 0.634 0.722 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01858 HG01858 1.539 1.653 1.65 1.45 1.333 1.354 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.224 1.266 1.255 1.132 1.196 1.258 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.797 0.736 0.711 0.725 0.903 1.092 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.514 0.52 0.52 0.519 0.761 1.022 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01859 HG01859 0.198 0.263 0.415 0.323 0.618 0.401 0.658 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.191 0.294 0.381 0.326 0.611 0.387 0.701 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.15 0.147 0.162 0.205 0.416 0.163 0.76 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.469 0.424 0.348 0.328 0.455 0.015 0.775 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01860 HG01860 -0.276 0.058 0.38 0.613 0.754 0.268 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.382 -0.076 0.231 0.626 0.642 0.154 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.505 -0.338 -0.178 0.209 0.58 0.211 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.483 -0.346 -0.159 0.071 0.478 0.245 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01861 HG01861 0.259 0.361 0.422 0.355 0.562 -0.181 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.257 0.358 0.432 0.486 0.604 0.006 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.3 0.395 0.427 0.442 0.555 0.308 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.267 0.336 0.388 0.334 0.448 0.401 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01862 HG01862 -0.766 -0.922 -0.94 -0.831 -0.636 -0.578 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.673 -0.73 -0.827 -0.791 -0.775 -0.695 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.453 -0.453 -0.494 -0.484 -0.643 -0.825 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.229 -0.179 -0.168 -0.159 -0.345 -0.853 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01863 HG01863 0.401 0.358 0.402 0.475 0.652 0.956 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.388 0.406 0.475 0.564 0.702 0.92 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.706 0.735 0.789 0.892 0.982 0.988 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.009 1.062 1.119 1.22 1.265 1.054 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01864 HG01864 -0.056 -0.164 -0.259 -0.081 0.572 1.172 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.087 -0.103 -0.22 -0.134 0.57 1.132 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.056 -0.026 -0.083 -0.029 0.537 1.129 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.342 0.283 0.19 0.165 0.517 1.157 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01865 HG01865 -1.828 -1.777 -1.692 -1.269 -0.856 -0.469 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.905 -1.862 -1.662 -1.207 -0.832 -0.429 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.625 -1.556 -1.393 -1.11 -0.767 -0.45 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.382 -1.341 -1.237 -1.027 -0.768 -0.456 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01866 HG01866 -0.501 -0.554 -0.573 -0.489 -0.524 -0.872 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.217 -0.386 -0.458 -0.453 -0.729 -1.071 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.118 0.028 -0.075 -0.317 -0.759 -1.327 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.052 -0.019 -0.088 -0.259 -0.731 -1.37 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01867 HG01867 -1.047 -1.174 -1.377 -1.484 -2.008 -1.826 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.148 -1.253 -1.336 -1.607 -2.085 -1.958 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.39 -1.419 -1.447 -1.707 -2.096 -2.301 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.474 -1.481 -1.513 -1.692 -2.039 -2.443 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01868 HG01868 0.677 0.676 0.685 0.61 0.334 -0.224 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.809 0.752 0.785 0.728 0.506 -0.029 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.891 0.831 0.76 0.647 0.522 0.391 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.95 0.87 0.724 0.504 0.404 0.482 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01869 HG01869 1.743 1.431 0.861 0.489 0.22 0.612 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.529 1.159 0.608 0.248 0.129 0.531 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.086 0.801 0.538 0.222 0.078 0.252 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.001 0.822 0.634 0.424 0.189 0.177 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01870 HG01870 -0.031 0.065 0.218 0.212 0.39 1.311 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.089 -0.082 -0.12 -0.155 0.141 1.081 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.121 -0.171 -0.228 -0.195 0.074 0.698 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.033 -0.068 -0.062 0.002 0.272 0.59 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01871 HG01871 1.481 1.536 1.601 1.281 0.805 1.014 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.409 1.481 1.422 1.098 0.61 0.941 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.434 1.371 1.186 0.961 0.453 0.847 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.269 1.238 1.096 0.869 0.517 0.783 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01872 HG01872 -0.04 -0.16 -0.26 -0.483 -0.425 -0.364 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.185 0.06 -0.073 -0.19 -0.315 -0.318 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.264 0.186 0.098 -0.035 -0.297 -0.319 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.079 -0.076 -0.079 -0.17 -0.31 -0.339 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01873 HG01873 -0.554 -0.449 -0.658 -0.958 -1.283 -1.041 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.473 -0.509 -0.688 -1.059 -1.317 -1.224 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.722 -0.825 -0.998 -1.13 -1.272 -1.229 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.839 -0.874 -0.983 -1.089 -1.249 -1.182 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01874 HG01874 -0.823 -0.781 -0.797 -0.808 -0.302 0.676 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.223 -1.191 -1.193 -1.18 -0.486 0.503 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.511 -1.528 -1.526 -1.478 -0.928 0.262 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.18 -1.217 -1.251 -1.376 -1.002 0.131 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01878 HG01878 0.918 0.907 0.698 0.3 -0.04 -0.365 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.987 0.892 0.689 0.291 0.084 -0.434 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.706 0.625 0.479 0.371 0.247 -0.311 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.244 0.237 0.229 0.244 0.209 -0.278 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02016 HG02016 1.048 1.098 1.044 0.666 0.126 -0.705 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.157 1.158 0.983 0.648 0.144 -0.752 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.16 1.062 0.891 0.642 0.293 -0.739 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.925 0.874 0.768 0.661 0.357 -0.726 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02017 HG02017 -0.163 -0.219 -0.305 -0.205 0.033 -0.146 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.081 -0.034 -0.089 -0.092 0.016 -0.203 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.128 0.138 0.131 0.094 0.08 -0.216 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.061 -0.04 -0.012 0.057 0.121 -0.209 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02019 HG02019 1.807 2.131 2.284 2.118 1.891 1.422 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.813 1.989 2.017 1.988 1.806 1.293 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.594 1.609 1.535 1.383 1.433 1.413 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.217 1.317 1.334 1.146 1.251 1.439 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02020 HG02020 -0.047 0.115 0.121 0.158 0.365 0.005 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.042 0.162 0.181 0.211 0.38 0.059 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.199 0.218 0.267 0.287 0.354 0.251 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.108 0.127 0.143 0.214 0.231 0.313 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02023 HG02023 2.362 2.347 2.368 2.308 1.915 1.836 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.295 2.238 2.215 2.033 1.764 1.852 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.892 1.839 1.84 1.8 1.534 1.759 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.738 1.659 1.58 1.589 1.371 1.737 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02025 HG02025 -1.243 -1.079 -0.92 -0.867 -0.36 0.576 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.468 -1.39 -1.265 -1.096 -0.681 0.594 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.323 -1.351 -1.343 -1.439 -1.157 0.33 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.2 -1.277 -1.379 -1.492 -1.375 0.209 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02026 HG02026 -0.196 -0.286 -0.443 -0.213 -0.159 0.381 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.16 -0.198 -0.284 -0.102 -0.042 0.334 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.125 0.099 0.098 0.223 0.117 0.38 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.292 0.254 0.258 0.338 0.134 0.368 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02028 HG02028 -0.104 0.028 0.333 0.613 0.549 0.017 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.174 -0.012 0.254 0.663 0.609 0.15 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.412 -0.275 -0.09 0.252 0.474 0.183 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.684 -0.52 -0.329 -0.024 0.255 0.168 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02029 HG02029 -0.708 -0.613 -0.552 -0.454 -0.56 -0.343 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.465 -0.352 -0.161 -0.095 -0.177 -0.327 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.045 0.133 0.23 0.224 0.216 -0.419 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.265 0.33 0.366 0.389 0.244 -0.425 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02031 HG02031 1.137 1.149 0.945 0.631 0.092 -0.186 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.08 1.067 0.882 0.58 0.112 -0.27 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.028 0.938 0.797 0.64 0.219 -0.254 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.953 0.902 0.816 0.691 0.389 -0.252 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02032 HG02032 -0.648 -0.414 -0.199 -0.138 -0.154 -0.086 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.357 -0.213 -0.128 -0.119 -0.179 -0.139 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.229 -0.179 -0.125 -0.145 -0.168 -0.21 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.404 -0.388 -0.324 -0.238 -0.204 -0.218 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02035 HG02035 0.544 0.379 0.205 -0.103 -0.175 -0.461 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.387 0.245 0.012 -0.322 -0.28 -0.425 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.26 0.146 -0.024 -0.161 -0.368 -0.546 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.245 0.171 0.11 0.071 -0.195 -0.549 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02040 HG02040 -0.704 -0.494 -0.458 -0.631 -0.681 -0.516 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.715 -0.62 -0.573 -0.646 -0.676 -0.491 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.735 -0.775 -0.756 -0.613 -0.638 -0.663 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.708 -0.694 -0.662 -0.496 -0.467 -0.7 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02047 HG02047 -0.521 -0.498 -0.483 -0.507 -0.434 -0.888 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.478 -0.403 -0.5 -0.566 -0.569 -1.032 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.245 -0.219 -0.184 -0.184 -0.425 -1.099 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.13 0.134 0.145 0.123 -0.153 -1.064 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02048 HG02048 1.326 1.331 1.17 0.759 0.705 1.229 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.737 0.682 0.639 0.468 0.621 1.237 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.137 0.054 0.01 0.081 0.329 1.078 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.212 0.108 -0.023 -0.045 0.096 0.987 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02049 HG02049 -1.262 -1.334 -1.439 -1.339 -1.04 -0.733 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.938 -1.127 -1.268 -1.266 -1.023 -0.735 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.858 -0.94 -1.048 -1.097 -0.93 -0.753 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.933 -0.937 -0.942 -0.993 -0.894 -0.737 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02050 HG02050 -0.815 -0.954 -1.014 -0.742 -0.46 -0.628 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.932 -0.951 -0.96 -0.707 -0.48 -0.76 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.808 -0.727 -0.562 -0.379 -0.311 -0.743 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.363 -0.363 -0.295 -0.194 -0.161 -0.737 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02057 HG02057 -0.066 -0.023 -0.055 -0.078 -0.137 -0.258 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.144 -0.207 -0.266 -0.258 -0.101 -0.392 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.46 -0.57 -0.759 -0.711 -0.247 -0.288 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.601 -0.571 -0.647 -0.754 -0.37 -0.237 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02058 HG02058 1.345 1.047 0.612 0.331 0.341 0.831 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.945 0.709 0.45 0.117 0.005 0.568 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.585 0.441 0.354 0.184 -0.136 0.02 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.593 0.539 0.441 0.348 0.007 -0.142 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02059 HG02059 1.583 1.32 0.941 0.61 -0.088 -0.383 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.442 1.267 0.982 0.64 -0.06 -0.599 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.021 0.972 0.867 0.796 0.143 -0.684 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.963 0.93 0.852 0.751 0.26 -0.679 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02060 HG02060 1.746 1.661 1.614 1.748 1.709 1.582 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.472 1.397 1.345 1.512 1.57 1.624 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.951 1.032 1.078 1.23 1.305 1.446 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.786 0.878 1.019 1.116 1.169 1.36 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02061 HG02061 -0.349 -0.509 -0.705 -0.778 -0.677 -0.683 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.424 -0.473 -0.549 -0.584 -0.543 -0.596 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.343 -0.363 -0.362 -0.304 -0.391 -0.464 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.312 -0.353 -0.411 -0.33 -0.372 -0.453 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02064 HG02064 0.223 0.103 0.039 -0.099 -0.007 1.59 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.249 -0.433 -0.573 -0.613 -0.438 1.238 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.233 -1.363 -1.448 -1.433 -1.049 0.421 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.551 -1.599 -1.605 -1.611 -1.3 0.161 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02067 HG02067 -1.303 -1.376 -1.536 -1.845 -1.635 -1.299 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.293 -1.354 -1.522 -1.708 -1.691 -1.552 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.463 -1.486 -1.517 -1.604 -1.61 -1.623 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.63 -1.599 -1.605 -1.564 -1.568 -1.618 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02068 HG02068 -0.471 -0.193 0.026 0.225 0.471 0.53 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.59 -0.366 -0.178 -0.018 0.072 0.229 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.817 -0.659 -0.545 -0.505 -0.357 -0.195 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.757 -0.647 -0.605 -0.695 -0.671 -0.301 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02069 HG02069 -0.362 -0.249 -0.233 -0.323 -0.094 0.381 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.434 -0.375 -0.432 -0.457 -0.355 0.18 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.584 -0.554 -0.604 -0.655 -0.508 -0.001 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.581 -0.478 -0.475 -0.607 -0.545 -0.044 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02070 HG02070 0.028 0.118 0.134 0.312 0.375 -0.336 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0.023 0.131 0.33 0.362 -0.242 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.124 0.135 0.166 0.205 0.287 -0.142 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.324 0.292 0.219 0.171 0.136 -0.09 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02072 HG02072 1.116 0.821 0.423 0.116 0.151 0.398 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.855 0.771 0.591 0.283 0.314 0.487 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.282 0.206 0.213 0.124 0.244 0.792 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.162 -0.224 -0.277 -0.307 -0.027 0.828 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02073 HG02073 0.962 0.91 1.025 1.083 1.101 0.558 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.056 0.968 0.965 0.915 1.042 0.44 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.172 1.116 1.023 0.916 0.983 0.509 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.087 1.047 0.992 0.92 1.027 0.54 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02075 HG02075 -1.584 -1.494 -1.28 -0.948 -1.055 -1.242 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.547 -1.494 -1.315 -1.097 -1.313 -1.327 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.351 -1.29 -1.198 -1.08 -1.453 -1.395 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.054 -1.057 -1.027 -0.993 -1.363 -1.404 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02076 HG02076 2.357 2.243 2.11 2.021 1.349 0.355 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.088 2.051 2.074 1.934 1.223 0.374 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.581 1.63 1.705 1.716 1.024 0.374 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.218 1.268 1.329 1.401 0.875 0.362 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02078 HG02078 -0.016 -0.209 -0.62 -1.027 -1.664 -1.095 -0.539 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.34 -0.516 -0.804 -1.144 -1.589 -1.185 -0.516 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.868 -0.932 -1.033 -1.138 -1.257 -1.142 -0.481 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.893 -0.948 -0.988 -1.052 -1.132 -1.095 -0.471 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02079 HG02079 -0.439 -0.173 0.055 0.224 0.044 -0.141 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.472 -0.311 -0.131 0.098 0.002 -0.296 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.503 -0.49 -0.455 -0.228 0.019 -0.371 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.428 -0.394 -0.395 -0.269 -0.013 -0.377 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02081 HG02081 0.373 0.458 0.434 0.29 0.228 0.34 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.468 0.44 0.396 0.325 0.346 0.399 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.499 0.513 0.436 0.376 0.484 0.588 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.483 0.475 0.441 0.347 0.435 0.673 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02082 HG02082 0.414 0.466 0.584 0.985 1.118 0.199 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.622 0.739 0.939 1.199 1.357 0.381 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.273 1.374 1.453 1.467 1.601 0.742 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.313 1.415 1.487 1.49 1.62 0.834 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02084 HG02084 -0.694 -0.657 -0.618 -0.498 -0.283 0.204 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.925 -0.85 -0.778 -0.625 -0.4 0.033 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.184 -1.122 -1.055 -0.872 -0.506 -0.129 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.254 -1.217 -1.17 -1.048 -0.624 -0.177 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02085 HG02085 -0.428 -0.213 -0.024 0.212 0.378 0.004 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.407 -0.284 -0.106 -0.048 0.082 -0.154 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.254 -0.259 -0.189 -0.27 -0.26 -0.41 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.122 -0.179 -0.286 -0.336 -0.39 -0.465 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02086 HG02086 1.201 1.164 1.065 0.915 0.393 -0.104 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.151 1.059 1.056 0.786 0.213 -0.29 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.004 0.972 0.903 0.795 0.267 -0.429 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.971 0.934 0.859 0.758 0.354 -0.42 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02087 HG02087 0.837 0.848 0.672 0.495 0.854 2.017 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.458 0.449 0.401 0.355 0.73 2.059 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.099 0.043 -0.01 0.129 0.378 1.731 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.23 0.161 0.097 0.174 0.273 1.569 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02088 HG02088 -0.547 -0.631 -0.625 -0.542 -0.724 -0.929 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.593 -0.56 -0.512 -0.437 -0.636 -1.011 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.628 -0.545 -0.455 -0.423 -0.617 -0.648 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.756 -0.615 -0.493 -0.546 -0.668 -0.562 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02113 HG02113 -0.544 -0.351 -0.195 -0.086 0.208 0.061 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.237 -0.182 -0.146 -0.084 0.246 0.285 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.139 0.114 0.111 0.105 0.312 0.42 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.314 0.311 0.306 0.345 0.415 0.454 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02116 HG02116 0.003 0.114 0.334 0.347 0.749 1.277 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.01 0.198 0.468 0.452 0.828 1.275 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.189 0.27 0.413 0.482 0.737 1.365 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.05 0.095 0.206 0.275 0.497 1.375 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02121 HG02121 -0.154 -0.38 -0.747 -1.162 -1.455 -0.927 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.409 -0.632 -0.953 -1.268 -1.442 -0.919 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.829 -0.967 -1.186 -1.343 -1.437 -1.072 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.914 -1.013 -1.153 -1.244 -1.344 -1.114 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02122 HG02122 0.038 -0.167 -0.437 -0.861 -1.35 -1.975 -1.93 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.104 -0.039 -0.223 -0.496 -1.013 -1.991 -1.96 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.408 0.358 0.279 0.005 -0.372 -1.706 -1.997 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.508 0.414 0.285 0.104 -0.249 -1.593 -2.005 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02127 HG02127 2.078 2.249 1.998 1.677 1.348 1.57 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.905 1.957 1.82 1.504 1.188 1.374 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.495 1.478 1.439 1.355 1.154 1.11 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.358 1.36 1.32 1.345 1.244 1.037 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02128 HG02128 -0.215 -0.181 -0.013 -0.252 -0.943 -1.155 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.098 -0.127 -0.109 -0.26 -0.979 -1.388 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.035 -0.111 -0.184 -0.24 -0.861 -1.598 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.204 0.089 -0.069 -0.208 -0.723 -1.639 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02130 HG02130 -1.52 -1.298 -0.96 -0.613 0.066 0.697 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.6 -1.417 -1.113 -0.727 -0.137 0.87 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.417 -1.277 -1.101 -0.909 -0.515 0.841 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.09 -1.091 -1.067 -1.007 -0.743 0.772 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02131 HG02131 -0.369 -0.587 -0.892 -1.166 -1.523 -1.837 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.684 -0.89 -1.066 -1.29 -1.427 -1.659 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.083 -1.13 -1.183 -1.324 -1.56 -1.823 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.136 -1.177 -1.209 -1.204 -1.439 -1.941 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02133 HG02133 -1.369 -1.417 -1.388 -1.25 -1.272 -1.21 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.485 -1.436 -1.305 -1.141 -1.193 -1.111 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.425 -1.297 -1.125 -1.111 -1.142 -0.916 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.293 -1.221 -1.066 -1.109 -1.201 -0.896 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02134 HG02134 -0.499 -0.505 -0.761 -0.921 -1.072 -0.949 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.434 -0.539 -0.778 -0.926 -1.079 -1.074 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.16 -0.228 -0.366 -0.609 -0.884 -1.144 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.283 0.212 0.095 -0.213 -0.639 -1.142 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02136 HG02136 0.124 0.142 0.039 -0.035 -0.564 -0.628 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.307 0.271 0.18 -0.042 -0.528 -0.554 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.599 0.472 0.323 0.051 -0.413 -0.678 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.641 0.529 0.395 0.22 -0.259 -0.719 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02137 HG02137 0.212 0.282 0.394 0.51 0.154 -0.149 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.35 0.377 0.43 0.461 0.067 -0.327 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.271 0.31 0.381 0.405 0.072 -0.521 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.102 0.194 0.307 0.411 0.108 -0.539 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02138 HG02138 -0.794 -0.891 -0.732 -0.613 -0.708 -0.522 -0.096 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.838 -0.84 -0.797 -0.7 -0.69 -0.68 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.92 -0.86 -0.815 -0.838 -0.821 -0.92 -0.156 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.899 -0.872 -0.877 -0.937 -0.98 -0.995 -0.163 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02139 HG02139 -1.638 -1.607 -1.473 -1.548 -1.244 -1.147 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.521 -1.433 -1.403 -1.436 -1.168 -1.29 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.263 -1.195 -1.112 -1 -0.923 -1.391 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.072 -0.991 -0.918 -0.837 -0.804 -1.431 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02140 HG02140 0.84 0.9 0.904 0.685 0.493 0.233 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.814 0.77 0.794 0.771 0.649 0.333 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.388 0.45 0.493 0.551 0.72 0.611 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.139 0.168 0.243 0.3 0.567 0.697 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02141 HG02141 0.821 0.656 0.497 0.425 0.163 0.1 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.821 0.711 0.621 0.485 0.34 0.236 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.625 0.608 0.571 0.602 0.608 0.331 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.356 0.33 0.356 0.52 0.609 0.375 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02142 HG02142 0.859 1.027 1.133 1.156 1.732 2.769 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.583 0.628 0.811 0.879 1.656 2.951 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.031 0.053 0.064 0.195 1.188 2.945 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.25 -0.229 -0.224 -0.168 0.797 2.862 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02151 HG02151 0.257 0.19 0.156 0.326 0.679 1.387 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.08 0.069 0.109 0.147 0.469 1.223 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.227 -0.234 -0.175 -0.142 0.168 0.906 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.581 -0.617 -0.563 -0.431 -0.162 0.795 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02152 HG02152 -0.869 -0.85 -0.744 -0.541 -0.281 -0.332 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.701 -0.595 -0.48 -0.309 -0.047 -0.232 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.394 -0.261 -0.084 -0.017 0.194 -0.178 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.081 -0.042 0.036 0.104 0.281 -0.168 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02153 HG02153 0.063 -0.012 -0.103 -0.213 -0.281 -0.442 0.658 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.368 -0.489 -0.571 -0.632 -0.602 -0.533 0.701 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.02 -1.071 -1.18 -1.311 -1.208 -0.855 0.76 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.32 -1.347 -1.374 -1.442 -1.349 -1.044 0.775 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02154 HG02154 -0.803 -0.895 -1.053 -1.162 -0.886 0.392 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.955 -1.013 -1.165 -1.33 -1.036 0.154 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.997 -1.053 -1.146 -1.227 -1.1 -0.325 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.753 -0.791 -0.902 -1.051 -0.986 -0.469 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02155 HG02155 -1.136 -1.243 -1.202 -1.315 -1.218 -1.282 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.339 -1.323 -1.263 -1.414 -1.283 -1.189 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.632 -1.593 -1.464 -1.418 -1.546 -1.249 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.707 -1.709 -1.653 -1.501 -1.494 -1.372 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02156 HG02156 -0.802 -0.828 -0.909 -0.948 -0.885 -1.377 -1.93 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.695 -0.704 -0.829 -0.852 -0.8 -1.229 -1.96 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.586 -0.605 -0.681 -0.852 -0.733 -1.077 -1.997 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.441 -0.489 -0.642 -0.852 -0.873 -1.024 -2.005 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02164 HG02164 0.527 0.655 0.496 0.271 -0.155 -0.165 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.607 0.512 0.401 0.196 -0.31 -0.126 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.443 0.311 0.169 0.031 -0.368 -0.293 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.198 0.146 0.113 0.101 -0.245 -0.329 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02165 HG02165 -2.181 -2.203 -1.94 -1.512 -0.852 -0.396 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.402 -2.229 -1.883 -1.363 -0.671 -0.165 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.326 -2.123 -1.804 -1.36 -0.659 0.116 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.191 -2.09 -1.912 -1.546 -0.873 0.147 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02166 HG02166 1.397 1.289 0.959 0.742 0.688 1.619 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.16 0.993 0.752 0.398 0.312 1.36 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.747 0.647 0.517 0.198 -0.203 0.696 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.578 0.519 0.444 0.217 -0.34 0.469 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02178 HG02178 0.261 0.239 0.057 -0.273 -0.417 -0.411 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.387 0.282 0.134 -0.3 -0.442 -0.541 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.45 0.325 0.086 -0.153 -0.221 -0.483 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.334 0.361 0.334 0.096 0.032 -0.423 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02179 HG02179 -0.134 -0.205 -0.322 -0.352 -0.009 0.555 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.462 -0.552 -0.509 -0.446 0.019 0.579 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.771 -0.791 -0.732 -0.571 -0.158 0.358 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.873 -0.841 -0.773 -0.592 -0.204 0.275 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02180 HG02180 -1.228 -1.311 -1.315 -1.109 -0.666 0.204 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.381 -1.464 -1.449 -1.357 -1.055 -0.015 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.547 -1.54 -1.518 -1.423 -1.405 -0.473 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.612 -1.574 -1.516 -1.378 -1.413 -0.614 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02181 HG02181 -1.396 -1.342 -1.292 -1.092 -0.909 -0.67 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.489 -1.421 -1.322 -1.162 -0.912 -0.731 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.824 -0.785 -0.758 -0.685 -0.604 -0.749 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.386 -0.378 -0.381 -0.287 -0.226 -0.722 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02182 HG02182 -0.1 -0.061 0.116 0.404 0.743 0.787 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.026 0.05 0.252 0.451 0.544 0.739 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.397 -0.278 -0.171 -0.106 0.085 0.868 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.082 -1.034 -0.954 -0.864 -0.522 0.893 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02184 HG02184 -0.632 -0.669 -0.76 -1.026 -1.144 -1.304 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.789 -0.926 -0.99 -1.187 -1.246 -1.255 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.907 -1.078 -1.283 -1.424 -1.265 -1.304 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.93 -1.079 -1.227 -1.362 -1.232 -1.313 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02185 HG02185 0.584 0.664 0.835 0.918 0.705 1.075 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.35 0.484 0.602 0.595 0.557 0.915 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.25 0.3 0.473 0.542 0.315 0.611 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.291 0.338 0.468 0.546 0.33 0.494 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02186 HG02186 0.887 0.818 0.804 0.698 0.284 -0.222 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.842 0.887 0.937 0.747 0.39 -0.002 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.154 1.174 1.173 1.04 0.472 0.29 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.036 1.042 1.003 0.932 0.423 0.335 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02187 HG02187 -0.691 -0.39 -0.398 -0.304 -0.181 -0.016 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.731 -0.565 -0.52 -0.493 -0.334 -0.226 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.778 -0.802 -0.824 -0.788 -0.475 -0.356 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.671 -0.642 -0.696 -0.737 -0.523 -0.347 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02188 HG02188 -0.292 -0.413 -0.398 -0.582 -0.541 -0.994 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.159 -0.185 -0.13 -0.242 -0.34 -0.812 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.439 0.437 0.42 0.362 -0.016 -0.449 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.83 0.821 0.768 0.639 0.232 -0.331 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02190 HG02190 -1.464 -1.542 -1.349 -0.83 -0.017 0.374 0.415 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.052 -1.116 -1.095 -0.822 -0.061 0.345 0.426 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.315 -0.386 -0.376 -0.242 -0.037 0.245 0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.102 0.046 0.029 0.045 0.094 0.209 0.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02250 HG02250 1.316 1.191 0.943 0.545 -0.053 -0.396 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.064 0.904 0.681 0.451 0.089 -0.189 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.596 0.459 0.25 0.024 -0.018 0.013 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.453 0.291 0.059 -0.188 -0.199 0.024 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02351 HG02351 -0.102 -0.146 -0.244 -0.366 -0.208 -0.238 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.046 -0.095 -0.199 -0.344 -0.149 -0.147 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.051 -0.064 -0.227 -0.416 -0.216 -0.066 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.152 -0.206 -0.34 -0.406 -0.314 -0.001 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02355 HG02355 0.079 -0.203 -0.484 -0.346 0.243 0.067 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.319 0.129 -0.014 -0.122 0.181 0.034 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.314 0.212 0.074 -0.075 0.033 0.133 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.006 -0.084 -0.295 -0.434 -0.224 0.17 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02356 HG02356 -0.864 -0.911 -1.018 -1.141 -1.073 -0.496 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.87 -0.973 -1.02 -1.045 -0.978 -0.475 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.996 -1.04 -1.153 -1.202 -1.017 -0.314 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.353 -1.293 -1.303 -1.338 -1.172 -0.27 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02360 HG02360 -0.634 -0.751 -1.086 -1.309 -1.269 -1.207 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.454 -0.613 -0.928 -1.227 -1.297 -1.148 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.696 -0.826 -1.038 -1.228 -1.324 -1.096 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.038 -1.156 -1.26 -1.32 -1.397 -1.061 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02364 HG02364 0.08 0.082 0.054 -0.137 -0.218 -0.365 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.121 0.105 0.046 -0.2 -0.24 -0.434 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.108 -0.171 -0.255 -0.35 -0.361 -0.493 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.412 -0.438 -0.551 -0.608 -0.456 -0.518 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02367 HG02367 -1.131 -1.109 -1.097 -1.073 -1.274 -1.116 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.048 -1.048 -1.047 -1.119 -1.358 -1.348 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.697 -0.661 -0.662 -0.755 -1.108 -1.5 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.242 -0.26 -0.35 -0.503 -0.874 -1.512 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02371 HG02371 -0.653 -0.613 -0.645 -1.005 -1.179 -1.285 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.678 -0.664 -0.715 -0.964 -1.146 -1.16 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.509 -0.537 -0.601 -0.77 -1.131 -0.996 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.352 -0.417 -0.511 -0.743 -1.051 -0.991 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02373 HG02373 -0.237 -0.256 -0.509 -0.687 -0.571 1.136 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.749 -0.816 -0.962 -1.207 -0.987 0.814 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.577 -1.671 -1.761 -1.879 -1.697 0.173 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.874 -1.918 -2.004 -2.09 -1.968 -0.053 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02374 HG02374 1.035 1.005 1.088 1.114 0.844 0.231 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.349 1.381 1.401 1.238 0.848 0.056 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.676 1.663 1.657 1.697 1.117 0.077 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.653 1.674 1.697 1.781 1.365 0.15 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02375 HG02375 -0.52 -0.468 -0.478 -0.61 -0.905 -1.008 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.547 -0.496 -0.445 -0.491 -0.884 -1.276 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.649 -0.658 -0.564 -0.539 -0.821 -1.447 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.673 -0.643 -0.607 -0.569 -0.76 -1.462 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02379 HG02379 -0.876 -0.908 -0.855 -0.779 -0.786 -0.99 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.648 -0.688 -0.71 -0.796 -0.81 -0.961 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.372 -0.446 -0.56 -0.75 -0.767 -0.988 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.331 -0.379 -0.503 -0.623 -0.716 -0.961 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02382 HG02382 -1.397 -1.335 -1.082 -0.731 -0.588 -0.629 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.278 -1.156 -0.942 -0.543 -0.467 -0.671 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.99 -0.849 -0.642 -0.242 -0.124 -0.618 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.775 -0.677 -0.501 -0.186 0.039 -0.588 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02383 HG02383 0.816 0.751 0.7 0.814 1.216 1.418 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.484 0.507 0.562 0.781 1.338 1.538 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.247 0.332 0.459 0.687 1.297 1.66 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.1 0.208 0.397 0.616 1.153 1.66 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02384 HG02384 -0.634 -0.601 -0.409 -0.609 -0.894 -0.745 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.684 -0.66 -0.575 -0.784 -1.056 -0.898 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.798 -0.797 -0.76 -0.84 -1.128 -1.225 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.768 -0.72 -0.657 -0.628 -0.924 -1.305 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02385 HG02385 1.108 1.039 0.93 0.855 0.5 -0.221 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.181 1.099 0.949 0.792 0.451 -0.319 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.789 0.682 0.554 0.437 0.406 -0.317 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.549 0.518 0.368 0.263 0.3 -0.277 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02386 HG02386 0.443 0.448 0.331 0.295 0.363 0.433 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.805 0.756 0.71 0.619 0.604 0.665 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.177 1.144 1.108 0.955 0.81 0.826 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.35 1.265 1.117 0.99 0.881 0.865 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02389 HG02389 1.915 1.809 1.724 1.693 1.723 2.12 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.687 1.566 1.463 1.398 1.42 2.09 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.939 0.868 0.76 0.753 1.01 1.621 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.493 0.49 0.52 0.58 0.819 1.464 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02390 HG02390 -0.97 -1.109 -1.294 -1.51 -1.354 -1.143 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.816 -0.889 -1.014 -1.14 -0.98 -0.86 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.358 -0.304 -0.385 -0.527 -0.545 -0.487 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.13 -0.124 -0.103 -0.254 -0.369 -0.38 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02391 HG02391 0.523 0.793 1.246 1.692 1.943 1.154 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.632 0.89 1.314 1.845 2.052 1.103 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.688 0.864 1.134 1.584 2.01 1.304 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.681 0.825 1.005 1.298 1.857 1.358 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02392 HG02392 0.375 0.266 0.052 -0.417 -0.884 -1.025 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.06 -0.094 -0.3 -0.612 -0.931 -0.898 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.311 -0.434 -0.503 -0.567 -0.938 -1.008 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.488 -0.48 -0.433 -0.398 -0.8 -1.038 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02394 HG02394 -0.961 -1.076 -1.45 -1.605 -1.216 -0.531 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.012 -1.144 -1.376 -1.426 -0.959 -0.302 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.683 -0.806 -0.862 -0.759 -0.566 -0.151 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.215 -0.341 -0.369 -0.291 -0.244 -0.104 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02395 HG02395 1.349 1.417 1.421 1.413 1.73 2.12 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.305 1.471 1.59 1.568 1.773 2.074 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.349 1.438 1.554 1.671 1.862 1.946 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.567 1.546 1.56 1.61 1.765 1.883 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02396 HG02396 -2.172 -1.833 -1.497 -1.265 -0.687 -0.398 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.944 -1.715 -1.467 -1.303 -0.763 -0.447 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.35 -1.299 -1.247 -1.093 -0.684 -0.42 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.063 -1.084 -1.122 -1.058 -0.717 -0.429 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02397 HG02397 -1.61 -1.699 -1.638 -1.69 -1.731 -1.701 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.753 -1.702 -1.666 -1.585 -1.738 -1.748 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.663 -1.582 -1.458 -1.357 -1.513 -1.793 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.472 -1.398 -1.272 -1.214 -1.26 -1.809 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02398 HG02398 -1.018 -0.9 -0.735 -0.687 -0.553 -0.392 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.111 -1.06 -0.939 -0.896 -0.643 -0.344 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.022 -1.016 -1.019 -1.045 -0.846 -0.382 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.879 -0.921 -1.032 -1.04 -0.932 -0.401 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG02402 HG02402 -0.161 -0.075 -0.126 -0.184 -0.107 0.311 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.28 -0.26 -0.332 -0.523 -0.428 0.28 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.456 -0.486 -0.523 -0.62 -0.779 -0.035 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.567 -0.585 -0.589 -0.548 -0.721 -0.15 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02406 HG02406 -0.525 -0.415 -0.536 -0.67 -0.839 -0.669 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.269 -0.376 -0.542 -0.903 -1.023 -0.869 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.145 -0.244 -0.452 -0.735 -0.991 -1.007 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.314 -0.299 -0.376 -0.564 -0.837 -1.034 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02407 HG02407 1.706 1.568 1.379 1.08 0.413 -0.812 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.82 1.731 1.473 1.173 0.38 -0.963 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.754 1.797 1.719 1.413 0.46 -1.005 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.539 1.583 1.603 1.396 0.611 -1.019 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02408 HG02408 -0.372 -0.278 -0.169 0.02 0.397 0.518 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.311 -0.204 -0.107 0.004 0.098 0.354 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.017 0.003 0.08 0.14 -0.024 0.055 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.385 0.387 0.371 0.311 0.06 -0.044 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02409 HG02409 -0.56 -0.543 -0.469 -0.593 -0.735 -0.869 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.396 -0.428 -0.462 -0.527 -0.725 -0.947 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.432 -0.544 -0.57 -0.533 -0.792 -0.906 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.601 -0.648 -0.72 -0.72 -0.788 -0.913 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02410 HG02410 -1.108 -1.132 -0.934 -0.589 -0.595 -0.776 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.998 -0.992 -0.838 -0.494 -0.563 -0.681 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.936 -0.858 -0.713 -0.479 -0.469 -0.732 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.798 -0.739 -0.636 -0.407 -0.436 -0.741 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02512 HG02512 0.208 0.141 0.208 0.307 0.282 -0.023 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.293 0.308 0.334 0.371 0.492 0.009 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.569 0.556 0.512 0.52 0.721 0.449 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.533 0.546 0.546 0.523 0.689 0.576 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02513 HG02513 -0.179 -0.281 -0.49 -0.746 -0.603 0.432 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.481 -0.649 -0.862 -0.992 -0.705 0.479 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.665 -0.848 -1.038 -1.08 -0.716 0.271 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.625 -0.722 -0.796 -0.832 -0.623 0.184 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02521 HG02521 -0.125 -0.229 -0.193 -0.126 -0.042 -0.394 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.264 -0.304 -0.311 -0.422 -0.362 -0.534 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.385 -0.344 -0.343 -0.435 -0.572 -0.706 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.443 -0.382 -0.345 -0.338 -0.479 -0.766 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02522 HG02522 0.889 1.225 1.703 1.922 2.09 1.816 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.259 1.594 1.953 2.145 2.147 1.837 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.857 2.037 2.284 2.472 2.292 1.758 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.129 2.199 2.324 2.451 2.387 1.723 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02524 HG02524 -2.411 -2.547 -2.494 -2.063 -1.368 -1.021 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.609 -2.648 -2.572 -2.285 -1.609 -1.12 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.81 -2.798 -2.685 -2.555 -2.072 -1.25 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.796 -2.834 -2.814 -2.665 -2.359 -1.274 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02525 HG02525 -0.98 -1.125 -0.954 -0.823 -1.138 -1.072 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.054 -1.086 -0.975 -0.849 -1.14 -1.185 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.236 -1.211 -1.101 -0.974 -1.123 -1.284 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.372 -1.34 -1.258 -1.144 -1.157 -1.319 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00711 HGDP00711 1.126 0.959 0.883 0.608 0.642 0.848 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.709 0.633 0.621 0.452 0.465 0.629 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.105 0.138 0.185 0.332 0.247 0.303 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.051 0.008 0.099 0.226 0.254 0.203 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00712 HGDP00712 0.571 0.418 0.468 0.357 0.143 0.479 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.461 0.388 0.4 0.343 0.281 0.593 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.193 0.225 0.242 0.27 0.372 0.743 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.109 0.17 0.245 0.248 0.4 0.749 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00714 HGDP00714 -1.108 -1.075 -0.839 -0.154 0.331 -0.239 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.932 -0.769 -0.547 0.017 0.29 -0.204 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.472 -0.32 -0.118 0.168 0.156 -0.252 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.38 -0.301 -0.173 0.105 0.077 -0.293 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00715 HGDP00715 -2.384 -2.454 -2.498 -2.45 -2.221 -1.3 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.403 -2.535 -2.57 -2.499 -2.305 -1.439 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.344 -2.431 -2.442 -2.384 -2.224 -1.517 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.31 -2.364 -2.396 -2.265 -2.114 -1.516 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00716 HGDP00716 0.258 0.118 0.224 0.581 0.651 0.82 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.046 0.099 0.27 0.429 0.524 0.593 0.609 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.011 0.103 0.303 0.465 0.543 0.436 0.624 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.26 0.311 0.391 0.53 0.585 0.425 0.627 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00719 HGDP00719 1.763 1.838 1.879 1.552 0.781 -0.258 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.821 1.826 1.824 1.551 0.989 0.093 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.584 1.551 1.512 1.384 1.187 0.332 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.354 1.251 1.191 1.222 1.086 0.374 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00721 HGDP00721 1.485 1.452 1.356 1.257 1.305 1.775 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.443 1.476 1.511 1.478 1.564 2.082 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.454 1.508 1.583 1.676 1.717 2.322 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.363 1.452 1.511 1.633 1.632 2.318 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00747 HGDP00747 -0.433 -0.621 -0.873 -1.041 -1.183 -1.701 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.674 -0.8 -1.047 -1.091 -1.299 -1.748 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.945 -0.95 -1.002 -1.007 -1.233 -1.762 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.972 -0.975 -0.96 -0.898 -1.099 -1.741 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00748 HGDP00748 1.151 0.808 0.625 0.433 0.11 0.417 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.995 0.946 0.81 0.602 0.097 0.411 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.027 0.963 0.9 0.699 0.175 0.314 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.287 1.172 1.004 0.778 0.283 0.265 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00750 HGDP00750 1.636 1.434 1.284 0.776 0.247 -0.396 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.316 1.127 1.029 0.667 0.257 -0.101 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.625 0.603 0.488 0.268 0.061 0.117 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.154 0.186 0.199 0.124 -0.068 0.163 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00751 HGDP00751 -0.545 -0.72 -0.8 -0.812 -1.07 -1.103 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.566 -0.767 -0.818 -0.923 -1.317 -1.271 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.847 -0.969 -1.031 -1.087 -1.503 -1.543 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.161 -1.218 -1.238 -1.237 -1.592 -1.62 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00752 HGDP00752 0.99 1.14 1.176 1.109 0.919 0.459 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.007 1.053 1.128 1.092 0.846 0.321 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.898 0.89 0.86 0.837 0.897 0.333 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.687 0.688 0.698 0.779 0.863 0.379 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00753 HGDP00753 0.393 0.352 0.344 0.194 0.115 -0.256 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.469 0.435 0.4 0.332 0.162 -0.091 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.44 0.465 0.438 0.375 0.089 0.049 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.104 0.143 0.139 0.132 -0.028 0.058 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00754 HGDP00754 0.339 0.563 0.808 0.785 1.036 1.036 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.525 0.621 0.791 0.86 0.943 1.048 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.51 0.555 0.605 0.689 0.855 1.095 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.431 0.462 0.525 0.639 0.786 1.137 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00755 HGDP00755 0.823 0.809 0.774 1.128 1.812 2.538 2.672 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.53 0.613 0.684 1.022 1.821 2.52 2.72 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.638 0.746 0.837 1.055 1.512 2.35 2.786 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.758 0.823 0.909 1.058 1.478 2.147 2.803 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00756 HGDP00756 -0.939 -1.067 -1.097 -1.211 -1.172 -0.763 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.987 -1.056 -1.14 -1.165 -0.98 -0.723 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.492 -1.474 -1.452 -1.377 -0.904 -0.787 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.695 -1.682 -1.622 -1.567 -1.017 -0.797 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00757 HGDP00757 0.112 0.058 -0.122 -0.086 -0.317 -0.272 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.213 0.176 0.004 -0.203 -0.472 -0.546 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.165 0.1 0.048 0.039 -0.22 -0.695 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.448 0.355 0.257 0.251 0.103 -0.67 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00758 HGDP00758 1.174 1.238 1.247 1.241 1.056 0.347 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.1 1.089 1.104 1.213 1.13 0.449 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.17 1.124 1.159 1.057 1.084 0.503 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.14 1.074 1.039 0.882 0.884 0.5 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00759 HGDP00759 1.777 1.646 1.715 1.681 1.53 2.139 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.541 1.514 1.496 1.483 1.413 2.203 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.267 1.273 1.2 1.106 1.114 2.259 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.01 1.009 1.002 0.915 0.994 2.211 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00760 HGDP00760 2.567 2.542 2.658 2.426 1.621 0.669 0.415 NA NA NA NA NA NA NA NA NA NA NA NA NA 3.086 3.061 2.976 2.673 1.743 0.898 0.426 NA NA NA NA NA NA NA NA NA NA NA NA NA 3.051 3.033 2.983 2.631 1.809 1.192 0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.29 2.272 2.304 2.212 1.63 1.302 0.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00761 HGDP00761 -0.514 -0.753 -0.881 -1.275 -1.626 -2.024 -1.584 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.654 -0.801 -0.951 -1.249 -1.655 -1.997 -1.548 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.592 -0.673 -0.859 -1.212 -1.685 -1.811 -1.497 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.582 -0.708 -0.921 -1.235 -1.787 -1.723 -1.484 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00762 HGDP00762 0.516 0.838 1.168 1.675 2.175 2.089 0.775 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.266 1.453 1.636 1.992 2.393 2.143 0.791 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.316 2.396 2.482 2.531 2.736 2.242 0.809 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.539 2.614 2.746 2.806 2.951 2.321 0.813 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00763 HGDP00763 -1.266 -1.348 -1.56 -1.783 -1.758 -0.992 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.348 -1.512 -1.684 -1.845 -1.962 -1.247 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.627 -1.705 -1.853 -1.953 -2.14 -1.455 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.689 -1.72 -1.766 -1.954 -2.105 -1.507 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00764 HGDP00764 -0.784 -0.604 -0.211 0.087 0.037 0.266 0.415 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.707 -0.508 -0.253 -0.013 -0.039 0.138 0.426 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.94 -0.803 -0.641 -0.432 -0.176 -0.057 0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.11 -1.002 -0.881 -0.705 -0.303 -0.092 0.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00765 HGDP00765 -0.09 -0.021 0.102 0.139 -0.034 0.049 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.011 -0.035 -0.115 -0.067 -0.042 0.123 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.046 -0.02 -0.061 -0.177 -0.249 0.207 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.095 0.033 -0.012 -0.13 -0.295 0.201 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00766 HGDP00766 -0.391 -0.207 -0.075 0.04 -0.02 -0.632 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.396 -0.249 -0.107 0.105 0.02 -0.416 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.598 -0.543 -0.439 -0.323 -0.321 -0.264 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.675 -0.646 -0.635 -0.591 -0.501 -0.338 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00767 HGDP00767 -1.253 -0.956 -0.633 -0.478 -0.18 -0.444 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.817 -0.604 -0.348 -0.198 -0.096 -0.445 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.028 0.032 0.193 0.288 0.282 -0.527 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.315 0.349 0.473 0.605 0.548 -0.515 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00768 HGDP00768 -0.544 -0.577 -0.53 -0.603 -0.527 -0.334 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.652 -0.704 -0.693 -0.642 -0.642 -0.617 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.544 -0.647 -0.76 -0.828 -0.87 -0.839 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.539 -0.623 -0.704 -0.822 -0.946 -0.908 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00769 HGDP00769 -0.463 -0.473 -0.491 -0.702 -0.658 -1.212 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.348 -0.302 -0.33 -0.532 -0.772 -1.341 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.364 -0.369 -0.488 -0.667 -0.956 -1.03 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.737 -0.703 -0.742 -0.922 -1.274 -0.913 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00771 HGDP00771 -1.272 -1.314 -1.299 -1.304 -1.154 -0.323 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.228 -1.308 -1.356 -1.3 -1.124 -0.547 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.008 -1.171 -1.297 -1.355 -1.012 -0.77 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.799 -0.921 -1.011 -1.172 -0.912 -0.806 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00772 HGDP00772 0.647 0.811 1.054 1.446 1.457 1.251 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.949 1.143 1.359 1.665 1.565 1.314 0.609 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.605 1.798 1.993 2.173 1.914 1.676 0.624 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.999 2.085 2.183 2.29 2.053 1.814 0.627 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00774 HGDP00774 -0.383 -0.431 -0.513 -0.644 -0.668 -0.921 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.55 -0.576 -0.65 -0.764 -0.66 -0.859 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.679 -0.727 -0.78 -0.712 -0.657 -0.783 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.582 -0.591 -0.624 -0.579 -0.54 -0.755 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00776 HGDP00776 -0.772 -1.2 -1.471 -1.426 -1.42 -1.07 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.805 -1.088 -1.441 -1.505 -1.535 -1.298 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.758 -0.879 -1.072 -1.269 -1.477 -1.474 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.734 -0.751 -0.811 -1.011 -1.296 -1.51 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00777 HGDP00777 -0.284 -0.08 0.077 0.303 0.58 0.247 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.108 0.222 0.365 0.437 0.573 0.314 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.988 1.025 1.107 1.071 0.891 0.498 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.597 1.577 1.554 1.483 1.176 0.585 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00779 HGDP00779 0.172 0.409 0.69 0.68 0.228 -1.01 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.297 0.519 0.782 0.797 0.464 -0.836 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.595 0.763 0.891 0.923 0.546 -0.55 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.684 0.879 1.06 1.103 0.73 -0.537 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00780 HGDP00780 0.611 0.848 0.76 0.409 0.053 0.354 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.618 0.718 0.65 0.441 0.065 0.223 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.223 0.258 0.269 0.301 0.164 0.189 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.083 0.094 0.139 0.232 0.162 0.205 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00781 HGDP00781 -1.18 -1.155 -0.916 -0.307 0.136 0.848 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.376 -1.354 -1.104 -0.568 -0.085 0.654 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.708 -1.598 -1.402 -1.051 -0.439 0.388 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.751 -1.661 -1.512 -1.221 -0.633 0.27 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00782 HGDP00782 0.445 0.317 0.15 0.127 0.672 1.004 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.158 0.22 0.196 0.323 0.824 1.057 0.609 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.077 0.137 0.222 0.41 0.993 1.264 0.624 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.197 0.264 0.387 0.499 0.967 1.34 0.627 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00784 HGDP00784 1.151 0.969 0.866 0.884 0.435 0.146 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.997 0.902 0.838 0.785 0.366 0.077 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.599 0.526 0.45 0.342 0.179 0.245 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.182 0.145 0.023 -0.027 -0.054 0.292 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00786 HGDP00786 -1.547 -1.452 -1.484 -1.421 -1.025 -1.013 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.495 -1.437 -1.431 -1.475 -1.19 -1.149 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.045 -0.998 -0.97 -1 -1.161 -1.204 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.493 -0.468 -0.472 -0.598 -0.961 -1.209 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00790 HGDP00790 -1.272 -1.195 -1.154 -0.794 -0.271 -0.392 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.799 -0.738 -0.712 -0.484 -0.195 -0.319 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.297 -0.298 -0.268 -0.254 -0.092 -0.168 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.222 -0.259 -0.25 -0.239 -0.164 -0.1 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00791 HGDP00791 0.277 0.129 -0.133 -0.093 0.12 -0.007 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.421 0.247 0.053 -0.011 0.035 0.021 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.515 0.43 0.314 0.111 -0.072 0.083 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.335 0.227 0.092 -0.006 -0.167 0.096 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00811 HGDP00811 -0.032 -0.192 -0.374 -0.48 -0.723 -1.118 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.08 -0.181 -0.257 -0.44 -0.901 -1.188 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.282 -0.274 -0.267 -0.437 -1.003 -1.395 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.281 -0.284 -0.296 -0.417 -1.041 -1.422 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00812 HGDP00812 -0.429 -0.425 -0.519 -0.466 -0.253 0.754 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.404 -0.398 -0.415 -0.377 -0.156 0.565 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.246 -0.225 -0.193 -0.195 0.067 0.435 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.206 0.181 0.127 0.051 0.241 0.418 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00813 HGDP00813 0.428 0.223 -0.058 -0.608 -0.965 -0.929 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.006 -0.149 -0.372 -0.837 -0.975 -0.829 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.301 -0.461 -0.654 -0.896 -1.003 -0.647 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.206 -0.33 -0.534 -0.835 -1.044 -0.594 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00814 HGDP00814 1.121 0.637 0.313 -0.22 -0.63 -0.284 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.663 0.366 0.067 -0.505 -0.754 -0.504 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.121 -0.353 -0.651 -0.902 -0.938 -0.724 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.605 -0.708 -0.899 -1.084 -0.996 -0.762 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00815 HGDP00815 0.882 0.888 1.009 1.151 1.156 0.851 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.536 0.562 0.735 0.943 1.12 0.905 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.174 0.237 0.398 0.637 0.877 0.827 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.001 0.103 0.281 0.487 0.663 0.758 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00817 HGDP00817 2.254 2.147 2.212 2.336 2.478 2.581 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.607 2.566 2.558 2.554 2.499 2.473 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 3.16 3.107 2.998 2.943 2.582 2.302 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA 3.395 3.288 3.109 2.95 2.622 2.257 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00818 HGDP00818 0.862 0.771 0.904 1.163 1.411 1.035 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.057 1.005 1.085 1.422 1.792 1.273 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.765 1.737 1.716 1.863 2.169 1.431 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.326 2.253 2.179 2.153 2.41 1.494 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00819 HGDP00819 -0.172 -0.296 -0.375 -0.345 -0.336 0.164 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.44 -0.399 -0.323 -0.275 -0.253 0.153 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.311 -0.205 -0.029 0.134 0.192 0.169 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.131 0.198 0.308 0.446 0.468 0.232 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00820 HGDP00820 2 1.65 1.312 1.037 1.044 1.069 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.822 1.568 1.326 1.046 1.02 1.29 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.365 1.269 1.164 1.042 0.805 1.133 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.809 0.792 0.799 0.908 0.653 1.045 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00821 HGDP00821 0.17 0.158 0.191 0.442 0.867 0.662 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.007 0.064 0.257 0.639 1.117 0.777 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.184 0.217 0.392 0.793 1.436 0.969 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.41 0.442 0.574 0.882 1.587 1.034 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00822 HGDP00822 0.746 0.749 0.913 1.039 0.666 -0.396 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.905 0.921 0.947 1.07 0.605 -0.306 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.19 1.203 1.196 1.141 0.607 -0.264 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.319 1.31 1.337 1.253 0.805 -0.252 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00828 HGDP00828 -0.416 -0.353 -0.218 0.027 -0.028 0.002 0.658 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.478 -0.384 -0.316 -0.058 0.07 0.145 0.701 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.383 -0.305 -0.199 -0.049 0.247 0.082 0.76 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.051 -0.041 0.049 0.184 0.462 0.072 0.775 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00945 HGDP00945 -0.407 -0.268 -0.1 0.157 0.67 0.548 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.024 0.129 0.226 0.464 1.006 0.931 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.659 0.693 0.69 0.752 1.353 1.609 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.868 0.896 0.949 0.953 1.328 1.825 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00946 HGDP00946 1.418 1.376 0.983 0.8 1.006 1.652 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.093 0.87 0.581 0.369 0.691 1.617 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.582 0.41 0.111 -0.155 0.102 1.305 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.231 0.064 -0.188 -0.344 -0.256 1.177 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00947 HGDP00947 0.595 0.435 0.285 0.207 0.366 -0.04 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.682 0.7 0.764 0.695 0.587 0.049 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.001 1.071 1.163 1.33 1.048 0.281 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.967 1.001 1.124 1.345 1.196 0.389 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00949 HGDP00949 0.39 0.18 -0.242 -0.839 -0.857 -0.976 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.404 0.178 -0.225 -0.772 -0.825 -0.859 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.267 0.092 -0.215 -0.539 -0.801 -0.869 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.023 -0.17 -0.307 -0.464 -0.762 -0.869 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00950 HGDP00950 -0.56 -0.588 -0.509 -0.459 -0.26 -0.158 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.44 -0.426 -0.271 -0.197 -0.15 -0.011 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.296 -0.261 -0.138 0.113 0.145 0.127 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.188 -0.197 -0.139 0.138 0.239 0.199 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00952 HGDP00952 -0.101 -0.232 -0.12 0.088 0.261 0.335 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.081 -0.134 -0.069 0.103 0.266 0.546 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.075 0.137 0.201 0.336 0.365 0.703 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.465 0.559 0.687 0.595 0.738 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00953 HGDP00953 1.403 1.295 1.208 1.02 0.784 0.986 0.838 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.25 1.134 1.029 0.89 0.735 0.943 0.883 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.984 0.804 0.624 0.515 0.433 0.735 0.945 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.731 0.635 0.527 0.45 0.284 0.6 0.961 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00954 HGDP00954 0.414 0.408 0.22 0.067 -0.015 -0.239 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.359 0.395 0.292 0.23 0.307 0.059 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.407 0.406 0.416 0.428 0.615 0.243 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.482 0.459 0.419 0.483 0.682 0.287 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00955 HGDP00955 0.125 0.265 0.378 0.66 1.163 1.342 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.287 0.334 0.371 0.607 1.063 1.39 0.609 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.53 0.507 0.555 0.689 1.039 1.441 0.624 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.494 0.531 0.642 0.791 1.099 1.471 0.627 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00957 HGDP00957 0.567 0.491 0.298 -0.038 0.03 -0.44 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.609 0.537 0.37 0.21 0.218 -0.055 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.546 0.53 0.479 0.462 0.353 0.218 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.424 0.422 0.477 0.564 0.517 0.268 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00958 HGDP00958 -0.773 -0.698 -0.81 -0.755 -0.663 -0.631 0.415 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.535 -0.48 -0.521 -0.573 -0.674 -0.671 0.426 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.303 -0.299 -0.267 -0.266 -0.46 -0.494 0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.235 -0.218 -0.185 -0.126 -0.386 -0.388 0.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00959 HGDP00959 -1.265 -1.434 -1.529 -1.648 -1.92 -1.353 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.363 -1.544 -1.53 -1.591 -1.923 -1.374 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.515 -1.607 -1.645 -1.696 -1.932 -1.475 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.542 -1.668 -1.797 -1.858 -2.033 -1.492 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00960 HGDP00960 0.384 0.19 -0.121 -0.231 0.025 -0.334 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.591 0.478 0.277 0.163 0.308 -0.225 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.707 0.646 0.53 0.505 0.694 0.391 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.783 0.811 0.811 0.755 0.73 0.625 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00961 HGDP00961 0.212 0.119 0.046 -0.033 0.052 -0.099 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.151 0.133 0.174 0.2 0.399 0.288 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.173 0.211 0.283 0.224 0.573 0.764 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.069 0.125 0.217 0.283 0.561 0.904 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00962 HGDP00962 -1.442 -1.654 -1.841 -1.743 -1.658 -1.147 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.331 -1.525 -1.623 -1.608 -1.619 -1.29 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.357 -1.423 -1.519 -1.584 -1.542 -1.42 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.61 -1.652 -1.669 -1.651 -1.63 -1.437 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00963 HGDP00963 -0.917 -1.001 -0.914 -0.63 -0.035 0.003 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.894 -0.843 -0.708 -0.423 0.123 0.01 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.636 -0.605 -0.577 -0.453 0.088 0.324 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.595 -0.518 -0.467 -0.477 -0.111 0.406 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00964 HGDP00964 -0.761 -0.654 -0.512 -0.511 0.049 0.447 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.777 -0.63 -0.495 -0.325 0.206 0.491 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.518 -0.472 -0.467 -0.289 0.375 0.949 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.159 -0.172 -0.199 -0.173 0.285 1.104 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00965 HGDP00965 -0.598 -0.758 -0.955 -0.998 -0.908 -0.715 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.741 -0.915 -1.044 -1.127 -0.931 -0.682 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.134 -1.198 -1.291 -1.308 -1.073 -0.869 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.312 -1.378 -1.443 -1.374 -1.163 -0.931 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00966 HGDP00966 -2.151 -2.113 -1.917 -1.608 -1.113 -0.444 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.982 -1.883 -1.809 -1.465 -1.034 -0.393 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.803 -1.773 -1.737 -1.514 -0.951 -0.504 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.734 -1.711 -1.623 -1.42 -0.93 -0.547 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00967 HGDP00967 1.344 1.114 0.551 0.127 -0.196 -0.565 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.243 1.075 0.703 0.358 -0.001 -0.301 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.067 0.932 0.736 0.451 0.182 -0.086 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.054 0.936 0.778 0.562 0.254 -0.03 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00968 HGDP00968 -0.285 -0.365 -0.311 0.072 0.453 0.709 0.838 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.279 -0.381 -0.295 -0.022 0.336 0.674 0.883 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.395 -0.412 -0.38 -0.309 -0.069 0.394 0.945 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.53 -0.518 -0.479 -0.424 -0.237 0.226 0.961 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00969 HGDP00969 0.028 -0.131 -0.273 -0.356 -0.344 -0.04 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.099 0.044 0 -0.122 -0.285 -0.181 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.24 0.224 0.23 0.238 -0.045 -0.001 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.222 0.149 0.058 0.056 -0.083 0.089 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00971 HGDP00971 0.879 0.878 1.142 1.068 0.794 0.589 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.155 1.287 1.39 1.372 1.014 0.864 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.449 1.503 1.527 1.395 1.113 1.107 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.434 1.427 1.411 1.267 1.006 1.169 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00972 HGDP00972 0.601 0.718 0.854 0.947 1.008 0.767 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.827 0.884 0.83 0.845 0.86 0.606 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.767 0.726 0.651 0.583 0.768 0.499 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.687 0.741 0.743 0.682 0.738 0.475 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00973 HGDP00973 -0.283 -0.334 -0.634 -0.918 -0.854 -0.496 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.255 -0.348 -0.622 -0.923 -0.905 -0.451 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.644 -0.724 -0.828 -0.983 -0.91 -0.592 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.926 -0.982 -1.005 -1.002 -0.838 -0.622 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00974 HGDP00974 -0.95 -0.852 -0.712 -0.661 -0.741 -1.01 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.311 -1.271 -1.191 -0.971 -0.842 -1.049 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.487 -1.486 -1.441 -1.297 -1.091 -0.995 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.28 -1.303 -1.268 -1.293 -1.146 -0.96 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00975 HGDP00975 -0.036 -0.063 0.056 0.293 -0.055 -0.615 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.105 0.112 0.275 0.356 0.067 -0.656 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.309 0.325 0.404 0.406 0.225 -0.498 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.387 0.389 0.367 0.366 0.145 -0.433 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00976 HGDP00976 -1.975 -1.932 -1.799 -1.538 -1.293 -0.916 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.778 -1.783 -1.822 -1.616 -1.376 -0.872 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.589 -1.589 -1.569 -1.451 -1.291 -0.764 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.43 -1.396 -1.319 -1.208 -1.098 -0.727 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00977 HGDP00977 1.087 1.235 1.063 0.723 0.068 0.053 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.205 1.275 1.178 0.899 0.237 0.109 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.232 1.244 1.229 1.092 0.41 0.305 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.154 1.08 0.987 0.863 0.398 0.33 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01021 HGDP01021 -1.821 -1.954 -1.958 -1.704 -1.436 -0.827 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.609 -1.622 -1.638 -1.548 -1.358 -0.987 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.998 -1.094 -1.084 -1.002 -1.09 -1.226 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.387 -0.502 -0.645 -0.717 -0.909 -1.261 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01023 HGDP01023 2.513 2.397 2.125 1.728 1.216 0.676 0.838 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.176 2.079 1.813 1.463 1.022 0.61 0.883 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.345 1.233 1.01 0.597 0.153 0.513 0.945 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.642 0.528 0.321 -0.126 -0.42 0.352 0.961 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01024 HGDP01024 0.675 0.906 1.194 1.472 2.173 2.508 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.462 0.596 0.86 1.229 1.991 2.293 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.174 0.159 0.266 0.68 1.462 2.054 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.009 0.01 0.046 0.275 1.056 1.949 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01096 HGDP01096 0.584 0.673 0.815 0.884 1.063 0.754 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.712 0.774 0.833 0.971 1.229 0.951 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.555 0.536 0.496 0.591 1.187 1.259 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.482 0.471 0.474 0.444 1.09 1.3 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01099 HGDP01099 0.651 0.605 0.624 0.856 0.742 0.062 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.861 0.777 0.773 0.923 0.76 0.172 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.137 1.129 1.106 1.042 0.767 0.079 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.454 1.391 1.332 1.201 0.802 0.075 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01100 HGDP01100 -0.437 -0.449 -0.572 -0.336 -0.243 -0.453 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.358 -0.325 -0.299 -0.111 -0.2 -0.447 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.35 -0.307 -0.239 -0.102 -0.208 -0.277 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.513 -0.496 -0.451 -0.3 -0.307 -0.236 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01101 HGDP01101 2.285 2.579 2.861 3.177 3.509 3.703 2.955 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.254 2.46 2.779 3.077 3.297 3.775 3.04 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.94 2.069 2.269 2.557 2.888 3.551 3.15 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.61 1.723 1.961 2.26 2.575 3.489 3.176 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01102 HGDP01102 -0.47 -0.357 -0.299 -0.194 -0.331 -1.012 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.352 -0.267 -0.26 -0.061 -0.161 -0.88 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.017 -0.025 -0.042 0.08 0.056 -0.826 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.28 0.224 0.203 0.274 0.167 -0.778 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01103 HGDP01103 -0.317 -0.45 -0.522 -0.759 -1.014 -0.96 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.655 -0.739 -0.782 -0.971 -1.158 -1.121 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.205 -1.242 -1.267 -1.19 -1.204 -1.302 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.435 -1.443 -1.431 -1.276 -1.277 -1.315 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01104 HGDP01104 1.099 1.076 1.013 1.017 1.002 0.229 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.291 1.229 1.16 1.1 1.016 0.169 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.675 1.668 1.613 1.517 1.196 0.303 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.912 1.882 1.831 1.728 1.414 0.371 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01181 HGDP01181 -1.331 -1.282 -1.11 -1.034 -1.305 -0.867 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.444 -1.438 -1.333 -1.181 -1.553 -1.085 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.569 -1.549 -1.466 -1.373 -1.67 -1.494 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.675 -1.616 -1.483 -1.431 -1.625 -1.603 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01182 HGDP01182 -0.184 -0.085 -0.039 -0.009 -0.364 -0.823 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.197 0.211 0.164 0.046 -0.299 -0.621 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.226 0.232 0.145 -0.017 -0.157 -0.612 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.031 -0.046 -0.1 -0.059 -0.154 -0.567 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01183 HGDP01183 0.506 0.343 0.305 0.24 0.16 -0.303 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.522 0.403 0.261 0.185 0.179 -0.359 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.104 0.005 -0.175 -0.204 -0.03 -0.316 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.468 -0.464 -0.513 -0.527 -0.189 -0.298 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01184 HGDP01184 1.147 1.144 1.062 1.324 1.196 1.191 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.304 1.236 1.184 1.287 1.223 1.199 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.191 1.166 1.229 1.306 1.185 0.93 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.099 0.997 0.962 1.076 1.083 0.844 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01185 HGDP01185 0.189 0.254 0.317 0.17 -0.075 -0.316 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.137 0.107 0.117 0.157 0.09 -0.203 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.019 -0.048 -0.052 -0.08 0.021 -0.042 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.072 -0.114 -0.132 -0.162 -0.102 -0.02 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01186 HGDP01186 -0.171 -0.082 0.01 0.069 0.5 0.673 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.003 0.009 -0.022 0.032 0.257 0.525 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.062 -0.058 -0.029 0.029 0.129 0.204 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.09 -0.091 -0.048 0.049 0.147 0.107 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01187 HGDP01187 -0.718 -0.688 -0.827 -0.976 -1.273 -1.173 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.712 -0.731 -0.822 -0.906 -1.005 -1.06 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.657 -0.633 -0.661 -0.662 -0.685 -0.938 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.624 -0.57 -0.555 -0.486 -0.501 -0.891 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01189 HGDP01189 0.179 0.355 0.332 0.253 0.316 0.722 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.221 0.284 0.238 0.129 0.169 0.479 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.062 0.093 0.095 0.161 0.16 0.274 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.114 0.199 0.262 0.316 0.358 0.223 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01190 HGDP01190 0.067 0.211 0.396 0.443 0.792 1.12 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.311 0.45 0.524 0.522 0.694 1.17 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.423 0.422 0.46 0.586 0.554 1.032 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.412 0.414 0.443 0.556 0.596 0.981 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01192 HGDP01192 -0.316 -0.395 -0.469 -0.727 -1.279 -2.121 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.309 -0.356 -0.415 -0.649 -1.359 -2.173 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.336 -0.317 -0.339 -0.585 -1.378 -1.933 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.563 -0.484 -0.462 -0.59 -1.37 -1.833 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01193 HGDP01193 -0.154 -0.454 -0.812 -1.158 -1.423 -1.329 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.343 -0.494 -0.745 -1.06 -1.398 -1.538 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.522 -0.564 -0.687 -0.831 -1.092 -1.642 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.717 -0.706 -0.724 -0.688 -0.909 -1.638 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01194 HGDP01194 0.956 1.078 1.414 1.771 1.648 0.385 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.962 1.203 1.546 1.936 1.799 0.663 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.11 1.292 1.52 1.908 2 1.088 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.092 1.177 1.356 1.632 1.984 1.194 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01195 HGDP01195 -2.648 -2.756 -2.748 -2.685 -2.323 -1.731 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.865 -2.853 -2.774 -2.573 -2.214 -1.734 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.763 -2.664 -2.549 -2.323 -1.899 -1.583 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.528 -2.367 -2.151 -1.971 -1.643 -1.518 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01196 HGDP01196 0.365 0.68 1.111 1.633 2.207 2.396 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.509 0.689 1.009 1.618 2.256 2.466 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.634 0.767 0.942 1.228 1.971 2.533 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.604 0.752 0.885 1.034 1.638 2.505 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01197 HGDP01197 -0.594 -0.419 -0.197 -0.151 -0.222 0.228 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.633 -0.535 -0.46 -0.436 -0.483 -0.016 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.704 -0.65 -0.663 -0.72 -0.844 -0.373 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.365 -0.398 -0.517 -0.769 -0.93 -0.488 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01204 HGDP01204 -0.675 -0.426 -0.1 0.3 0.706 1.38 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.882 -0.665 -0.393 0.019 0.508 1.128 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.21 -1.061 -0.827 -0.417 0.219 0.852 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.133 -0.978 -0.724 -0.509 0.14 0.773 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01205 HGDP01205 -0.038 0.029 0.082 0.004 0.222 0.417 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.45 0.431 0.394 0.287 0.338 0.297 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.17 1.146 1.131 1.057 0.734 0.322 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.571 1.464 1.443 1.394 1.042 0.386 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01206 HGDP01206 -1.229 -1.279 -1.23 -1.443 -1.552 -1.715 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.277 -1.241 -1.29 -1.549 -1.555 -1.722 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.344 -1.369 -1.49 -1.639 -1.795 -1.796 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.726 -1.771 -1.846 -1.95 -1.987 -1.823 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01207 HGDP01207 0.821 0.883 0.965 0.898 0.953 1.205 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.778 0.745 0.768 0.831 1.04 1.501 0.609 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.492 0.431 0.349 0.4 0.732 1.763 0.624 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.117 -0.179 -0.188 -0.08 0.33 1.81 0.627 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01209 HGDP01209 -1.133 -0.936 -0.842 -0.851 -0.324 0.67 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.991 -0.786 -0.677 -0.501 -0.068 0.704 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.785 -0.704 -0.631 -0.513 0.073 0.925 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.903 -0.841 -0.677 -0.609 -0.14 0.991 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01212 HGDP01212 -0.1 -0.027 0.121 0.124 -0.224 -0.284 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.092 0.067 0.147 0.16 -0.252 -0.48 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.018 0.007 0.05 0.209 -0.251 -0.626 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.151 -0.159 -0.1 -0.037 -0.254 -0.649 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01213 HGDP01213 0.683 0.699 0.68 0.586 0.448 0.152 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.79 0.793 0.724 0.749 0.576 0.23 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.987 0.99 0.926 0.881 0.765 0.502 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.132 1.063 0.946 0.818 0.729 0.604 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01214 HGDP01214 -0.976 -0.841 -0.702 -0.463 -0.413 -0.691 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.732 -0.705 -0.675 -0.57 -0.631 -0.683 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.459 -0.442 -0.418 -0.545 -0.881 -0.882 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.479 -0.456 -0.439 -0.455 -0.94 -0.945 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01216 HGDP01216 0.535 0.509 0.662 0.78 0.925 0.311 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.741 0.744 0.89 0.919 1.01 0.413 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.908 0.969 1.058 1.225 1.169 0.632 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.02 1.119 1.233 1.367 1.368 0.706 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01217 HGDP01217 0.784 0.903 1.022 0.912 0.654 0.017 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.866 0.939 0.991 1.022 0.757 0.272 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.18 1.233 1.254 1.23 0.872 0.455 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.411 1.399 1.381 1.283 0.938 0.473 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01218 HGDP01218 1.824 1.969 2.134 2.032 1.376 0.381 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.782 1.895 2.052 2.054 1.557 0.495 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.649 1.728 1.844 1.889 1.597 0.611 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.648 1.669 1.739 1.809 1.508 0.638 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01220 HGDP01220 0.225 0.287 0.214 0.147 -0.208 -0.139 -0.028 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.465 0.413 0.38 0.208 -0.296 -0.29 0.033 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.424 0.363 0.36 0.312 -0.153 -0.46 0.114 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.355 0.317 0.304 0.304 -0.079 -0.429 0.134 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01221 HGDP01221 -1.096 -1.064 -1.024 -0.945 -0.723 -0.411 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.175 -1.105 -1.1 -1.002 -0.812 -0.561 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.272 -1.292 -1.292 -1.075 -0.928 -0.669 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.385 -1.434 -1.395 -1.192 -0.982 -0.704 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01222 HGDP01222 -0.227 -0.134 -0.024 -0.079 -0.19 -0.592 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.149 -0.027 0.143 0.117 -0.034 -0.422 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.022 0.008 0.045 0.053 0.072 -0.1 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.059 -0.082 -0.177 -0.231 -0.087 -0.013 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01224 HGDP01224 -1.552 -1.63 -1.662 -1.338 -0.929 -0.581 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.794 -1.757 -1.733 -1.45 -0.922 -0.391 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.93 -1.805 -1.706 -1.557 -1.049 -0.169 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.824 -1.806 -1.734 -1.58 -1.202 -0.125 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01225 HGDP01225 0.93 0.944 1.098 1.229 1.608 1.761 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.183 1.231 1.343 1.5 1.891 2.022 1.641 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.494 1.582 1.621 1.708 2.151 2.427 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.729 1.692 1.691 1.671 2.161 2.532 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01226 HGDP01226 -0.368 -0.408 -0.396 -0.714 -0.499 0.019 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.406 -0.504 -0.501 -0.807 -0.669 -0.177 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.42 -0.538 -0.656 -0.717 -0.828 -0.294 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.468 -0.57 -0.666 -0.742 -0.761 -0.323 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01227 HGDP01227 -0.596 -0.712 -0.87 -0.924 -0.855 -0.877 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.657 -0.792 -0.93 -0.898 -0.764 -0.748 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.902 -0.999 -1.042 -0.927 -0.63 -0.697 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.995 -1.104 -1.121 -0.967 -0.631 -0.683 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01229 HGDP01229 0.773 0.682 0.642 0.579 0.736 0.426 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.825 0.761 0.648 0.651 0.715 0.473 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.579 0.598 0.608 0.654 0.599 0.27 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.42 0.435 0.507 0.584 0.516 0.174 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01230 HGDP01230 2.318 2.299 2.27 2.011 1.787 1.264 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.534 2.575 2.529 2.305 2.172 1.458 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.861 2.858 2.883 2.923 2.762 1.755 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.956 2.932 2.949 3.002 2.958 1.874 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01231 HGDP01231 0.043 0.003 -0.123 -0.373 -0.937 -1.204 -1.93 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.345 0.263 0.093 -0.018 -0.471 -0.893 -1.96 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.042 0.926 0.833 0.639 0.223 -0.321 -1.997 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.427 1.31 1.194 1.033 0.555 -0.13 -2.005 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01232 HGDP01232 0.136 0.108 0.226 0.293 0.037 -0.78 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.459 0.517 0.542 0.619 0.265 -0.578 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.113 1.142 1.123 1.058 0.61 -0.211 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.274 1.285 1.329 1.156 0.753 -0.078 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01233 HGDP01233 0.037 -0.222 -0.52 -0.727 -0.923 -1.112 -0.208 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.066 -0.203 -0.366 -0.552 -0.928 -0.957 -0.149 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.354 -0.358 -0.369 -0.372 -0.888 -0.793 -0.071 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.46 -0.467 -0.495 -0.503 -0.909 -0.727 -0.052 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01236 HGDP01236 -1.733 -1.666 -1.696 -1.612 -1.436 -1.14 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.848 -1.778 -1.738 -1.595 -1.377 -1.292 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.869 -1.85 -1.809 -1.751 -1.48 -1.386 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.574 -1.573 -1.596 -1.755 -1.671 -1.42 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01237 HGDP01237 -0.359 -0.225 0.012 0.368 0.474 0.295 0.415 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.281 -0.115 0.163 0.481 0.487 0.238 0.426 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.422 -0.258 -0.021 0.302 0.429 0.358 0.439 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.681 -0.596 -0.477 -0.197 0.125 0.406 0.442 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01238 HGDP01238 -0.067 -0.21 -0.403 -0.672 -0.861 -0.409 -0.028 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.159 -0.247 -0.408 -0.768 -0.811 -0.478 0.033 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.341 -0.367 -0.481 -0.754 -0.865 -0.457 0.114 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.438 -0.45 -0.501 -0.683 -0.83 -0.526 0.134 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01239 HGDP01239 -1.489 -1.243 -1.034 -0.762 -0.358 -0.736 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.29 -1.212 -1.093 -1.011 -0.708 -0.753 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.153 -1.189 -1.178 -1.316 -1.409 -0.92 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.951 -1.083 -1.189 -1.414 -1.651 -1.061 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01241 HGDP01241 0.809 1.126 1.281 1.697 1.983 1.118 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.884 1.15 1.383 1.694 2.004 1.023 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.189 1.383 1.551 1.849 2.164 1.199 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.591 1.771 1.911 2.051 2.341 1.264 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01243 HGDP01243 -1.219 -0.944 -0.803 -0.697 -0.885 -1.026 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.907 -0.799 -0.674 -0.623 -0.864 -1.014 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.67 -0.677 -0.669 -0.736 -0.876 -1.032 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.82 -0.833 -0.858 -0.827 -0.942 -1.05 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01244 HGDP01244 0.764 0.701 0.475 0.457 0.282 -0.324 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.761 0.742 0.662 0.68 0.497 -0.056 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.146 1.145 1.113 1.045 0.904 0.283 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.36 1.438 1.452 1.4 1.203 0.398 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01245 HGDP01245 -0.541 -0.417 -0.211 -0.351 -0.75 -0.689 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.344 -0.294 -0.15 -0.243 -0.596 -0.69 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.581 -0.636 -0.674 -0.757 -0.756 -0.507 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.029 -1.03 -1.104 -1.215 -1.149 -0.488 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01247 HGDP01247 -1.287 -1.193 -0.9 -0.845 -1.043 -1.369 -1.75 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.819 -0.771 -0.594 -0.557 -0.907 -1.362 -1.778 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.017 0.028 0.049 0.053 -0.466 -1.365 -1.811 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.455 0.505 0.544 -0.05 -1.331 -1.819 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01248 HGDP01248 0 -0.171 -0.338 -0.412 -0.68 -0.859 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.507 -0.563 -0.576 -0.652 -0.929 -0.884 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.203 -1.126 -1.04 -1.019 -1.214 -0.93 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.486 -1.419 -1.343 -1.169 -1.264 -0.919 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01249 HGDP01249 0.871 0.948 0.955 0.757 0.329 -0.009 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.158 1.105 1.044 0.825 0.313 0.013 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.837 0.753 0.616 0.494 0.14 -0.014 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.394 0.378 0.327 0.182 -0.025 -0.023 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01251 HGDP01251 0.895 0.911 1.067 0.947 0.592 0.185 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.83 0.858 0.932 0.696 0.466 0.136 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.562 0.575 0.443 0.254 0.129 0.299 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.425 0.387 0.249 -0.02 -0.167 0.37 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01287 HGDP01287 -0.103 -0.23 -0.229 -0.145 -0.017 -0.134 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.079 -0.065 -0.097 -0.165 0.031 -0.229 -0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.173 0.169 0.222 0.267 0.342 -0.133 -0.711 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.473 0.452 0.468 0.547 0.671 -0.039 -0.696 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01288 HGDP01288 0.419 0.586 0.752 0.768 -0.029 -1.303 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.503 0.548 0.682 0.714 0.128 -1.113 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.821 0.8 0.817 0.702 0.176 -1.054 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.144 1.118 1.051 0.89 0.343 -1.102 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01289 HGDP01289 2.926 3.058 3.008 2.976 2.38 1.83 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 3.059 3.03 2.884 2.799 2.381 1.926 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.956 2.861 2.664 2.474 2.458 2.01 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.991 2.882 2.702 2.562 2.544 2.042 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01290 HGDP01290 -0.877 -0.715 -0.653 -0.848 -1.042 -1.145 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.572 -0.443 -0.388 -0.565 -0.782 -0.82 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.44 -0.433 -0.492 -0.627 -0.613 -0.422 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.672 -0.673 -0.689 -0.755 -0.717 -0.301 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01291 HGDP01291 0.154 0.201 0.049 0.034 -0.038 -0.272 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.049 0.027 -0.096 -0.125 -0.092 -0.144 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.042 -0.104 -0.162 -0.189 -0.065 0.012 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.144 -0.212 -0.303 -0.261 -0.132 0.071 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01292 HGDP01292 -0.327 -0.284 -0.038 0.18 0.499 0.311 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.234 -0.131 0.053 0.253 0.533 0.389 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.118 -0.037 0.116 0.243 0.469 0.468 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.074 0.112 0.152 0.249 0.414 0.482 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01293 HGDP01293 -0.866 -0.679 -0.358 -0.332 -0.122 0.225 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.838 -0.646 -0.556 -0.514 -0.312 0.093 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.197 -1.128 -1.105 -0.892 -0.602 -0.079 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.453 -1.423 -1.341 -1.166 -0.717 -0.155 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01294 HGDP01294 1.153 1.04 1.013 1.098 1.113 0.651 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.208 1.192 1.143 1.203 1.274 0.731 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.396 1.353 1.291 1.23 1.243 0.93 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.417 1.36 1.262 1.075 1.139 0.965 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01295 HGDP01295 0.547 0.578 0.585 0.579 0.274 -0.272 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.655 0.603 0.6 0.808 0.523 -0.168 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.77 0.799 0.774 0.954 0.883 -0.102 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.614 0.673 0.772 0.946 1.003 -0.077 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01296 HGDP01296 0.837 0.549 0.395 0.066 -0.587 -0.576 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.66 0.513 0.435 0.099 -0.498 -0.554 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.565 0.492 0.432 0.268 -0.326 -0.553 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.419 0.379 0.36 0.269 -0.176 -0.545 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01299 HGDP01299 0.058 -0.159 -0.563 -0.799 -0.754 -0.554 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.147 -0.106 -0.523 -0.737 -0.535 -0.625 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.74 0.541 0.171 -0.264 -0.299 -0.335 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.199 1.074 0.792 0.227 -0.167 -0.282 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01301 HGDP01301 -0.914 -0.985 -1.028 -1.095 -1.576 -1.933 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.929 -0.939 -1.148 -1.288 -1.75 -2.05 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.826 -0.918 -1.085 -1.394 -1.863 -2.315 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.936 -1.06 -1.247 -1.514 -1.918 -2.369 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01302 HGDP01302 0.89 0.798 0.787 0.645 1.349 1.344 -0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.678 0.594 0.535 0.708 1.583 1.7 -0.196 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.767 0.699 0.586 0.729 1.664 2.155 -0.201 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.967 0.864 0.823 0.846 1.567 2.295 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01304 HGDP01304 0.567 0.657 0.394 0.126 0.592 1.169 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.404 0.502 0.443 0.384 0.72 1.323 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.167 -0.126 -0.118 -0.113 0.463 1.429 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.688 -0.639 -0.638 -0.614 -0.062 1.387 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01305 HGDP01305 1.562 1.841 1.938 1.823 1.94 1.6 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.731 1.882 1.976 1.853 1.99 1.903 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.694 1.713 1.667 1.525 1.66 2.238 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.217 1.238 1.204 1.015 1.271 2.304 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01309 HGDP01309 -0.515 -0.745 -0.819 -0.665 -0.718 -0.529 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.511 -0.696 -0.754 -0.504 -0.454 -0.142 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.459 -0.448 -0.417 -0.458 -0.313 0.202 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.625 -0.607 -0.529 -0.475 -0.304 0.244 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01310 HGDP01310 -0.348 -0.005 0.349 0.569 0.85 1.28 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.359 -0.078 0.25 0.427 0.731 1.111 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.32 -0.241 -0.147 0.044 0.496 1.029 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.149 -0.097 -0.083 -0.123 0.234 0.984 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01311 HGDP01311 1.131 0.997 0.966 1.034 1.053 1.585 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.067 0.954 0.968 1.029 1.027 1.608 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.022 1.008 1.047 0.961 0.837 1.557 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.081 1.009 0.95 0.774 0.68 1.504 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01313 HGDP01313 1.045 1.055 1.152 1.184 1.148 1.168 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.88 0.902 0.992 0.975 1.072 1.205 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.682 0.692 0.783 0.739 0.839 1.032 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.766 0.676 0.597 0.567 0.647 0.934 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01317 HGDP01317 1.573 1.493 1.333 1.043 0.512 0.114 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.482 1.398 1.161 0.799 0.267 -0.037 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.829 0.738 0.543 0.327 -0.063 -0.277 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.269 0.317 0.262 0.163 -0.021 -0.32 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01318 HGDP01318 0.552 0.487 0.485 0.529 0.811 1.769 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.025 -0.014 0.047 0.172 0.619 1.726 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.875 -0.757 -0.603 -0.383 0.128 1.369 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.11 -1.042 -0.951 -0.711 -0.179 1.198 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01319 HGDP01319 0.401 0.268 0.052 -0.31 -0.861 -0.576 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.116 0.053 -0.124 -0.578 -1.023 -0.808 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.59 -0.652 -0.77 -0.978 -1.182 -1.167 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.866 -0.881 -0.962 -1.109 -1.15 -1.246 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01321 HGDP01321 1.454 1.536 1.466 1.444 1.186 0.249 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.447 1.468 1.459 1.418 1.283 0.514 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.418 1.371 1.288 1.298 1.226 0.65 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.276 1.28 1.178 1.116 1.075 0.658 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01322 HGDP01322 -0.208 -0.15 0.091 0.335 0.562 0.915 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.476 -0.421 -0.149 0.106 0.439 1.025 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.668 -0.614 -0.496 -0.394 -0.062 0.948 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.594 -0.623 -0.622 -0.64 -0.405 0.879 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01326 HGDP01326 2.47 2.377 2.119 1.668 1.503 1.171 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.303 2.248 2.061 1.806 1.716 1.535 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.069 2.104 2.015 1.861 1.848 1.834 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.993 2.031 1.965 1.805 1.781 1.881 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01328 HGDP01328 0.821 0.758 0.616 0.706 0.822 1.192 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.812 0.693 0.558 0.64 0.837 1.297 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.642 0.532 0.41 0.322 0.592 1.258 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.425 0.307 0.164 0.034 0.323 1.197 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01329 HGDP01329 0.197 0.364 0.335 0.091 -0.276 -0.273 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.108 0.156 0.193 0.032 -0.169 -0.228 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.34 0.353 0.368 0.365 0.186 -0.086 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.891 0.835 0.771 0.669 0.5 -0.002 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01330 HGDP01330 0.387 0.425 0.481 0.533 0.625 0.895 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.256 0.287 0.406 0.523 0.46 0.667 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.202 -0.105 -0.011 0.181 0.2 0.437 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.54 -0.482 -0.379 -0.21 -0.109 0.4 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01331 HGDP01331 -0.794 -0.756 -0.9 -1.196 -1.367 -1.131 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.874 -0.937 -1.039 -1.21 -1.365 -1.152 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.087 -1.158 -1.213 -1.221 -1.208 -1.216 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.114 -1.176 -1.203 -1.099 -0.956 -1.259 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01332 HGDP01332 0.427 0.418 0.495 0.533 0.426 -0.077 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.378 0.353 0.373 0.431 0.255 -0.052 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.232 0.171 0.277 0.43 0.213 -0.22 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.245 0.24 0.327 0.488 0.346 -0.274 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01334 HGDP01334 -0.533 -0.842 -1.246 -1.612 -1.562 -0.949 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.792 -0.952 -1.145 -1.414 -1.505 -1.074 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.949 -1.074 -1.168 -1.128 -1.238 -0.999 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.973 -1.094 -1.256 -1.188 -1.188 -0.92 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01336 HGDP01336 0.411 0.557 0.656 0.843 1.26 1.381 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.361 0.502 0.616 0.838 1.208 1.314 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.348 0.382 0.435 0.58 1.062 1.288 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.255 0.339 0.438 0.481 0.945 1.27 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01337 HGDP01337 -0.84 -0.876 -0.853 -0.75 -0.635 -0.916 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.12 -1.193 -1.119 -0.927 -0.746 -0.872 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.107 -1.123 -1.092 -0.992 -0.801 -0.915 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.888 -0.866 -0.798 -0.78 -0.663 -0.914 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01339 HGDP01339 0.4 0.482 0.54 0.574 0.962 1.385 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.434 0.385 0.439 0.416 0.693 1.222 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.406 0.345 0.235 0.132 0.169 0.982 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.047 0.084 0.124 -0.019 -0.018 0.878 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01340 HGDP01340 0.19 0.027 -0.163 -0.191 -0.242 0.297 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.04 -0.146 -0.17 -0.194 -0.283 0.275 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.251 -0.279 -0.273 -0.309 -0.405 0.092 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.251 -0.302 -0.355 -0.366 -0.467 0.003 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01341 HGDP01341 -0.405 -0.439 -0.288 0.122 0.301 -0.553 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.309 -0.337 -0.202 0.145 0.171 -0.487 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.138 0.16 0.285 0.351 0.075 -0.452 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.325 0.326 0.422 0.41 0.219 -0.459 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01346 HGDP01346 0.417 0.462 0.23 -0.032 -0.294 -0.621 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.225 0.209 0.128 -0.058 -0.193 -0.316 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.033 -0.106 -0.21 -0.431 -0.384 0.013 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.003 -0.071 -0.212 -0.538 -0.591 0.08 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01347 HGDP01347 -1.904 -2.095 -2.086 -1.972 -1.713 -1.359 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.093 -2.152 -2.12 -1.896 -1.599 -1.411 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.957 -1.944 -1.859 -1.639 -1.439 -1.451 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.715 -1.728 -1.613 -1.419 -1.301 -1.458 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01348 HGDP01348 1.005 1.065 1.136 1.199 1.625 1.664 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.028 1.04 1.152 1.395 2.02 2.068 0.609 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.555 1.544 1.571 1.721 2.296 2.698 0.624 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.848 1.748 1.628 1.665 2.13 2.872 0.627 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01349 HGDP01349 -0.442 -0.101 0.352 0.777 1.302 1.002 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.174 0.132 0.417 0.803 1.348 1.095 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.219 0.316 0.509 0.943 1.503 1.214 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.312 0.383 0.558 0.968 1.616 1.258 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01351 HGDP01351 -0.697 -0.934 -1.075 -1.121 -1.363 -1.606 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.788 -0.909 -0.996 -0.974 -1.26 -1.639 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.459 -0.453 -0.513 -0.597 -0.976 -1.501 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.08 -0.058 -0.031 -0.141 -0.606 -1.513 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01352 HGDP01352 0.175 0.093 0.002 -0.27 -0.15 -0.38 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.052 0.014 -0.035 -0.06 0.058 -0.069 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.159 0.146 0.12 0.131 0.252 0.107 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.29 0.242 0.191 0.208 0.245 0.15 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01353 HGDP01353 -0.206 -0.296 -0.348 -0.59 -0.575 -0.383 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.545 -0.661 -0.707 -0.819 -0.711 -0.369 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.87 -0.979 -1.032 -0.996 -0.937 -0.433 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.942 -1.038 -1.077 -1.022 -1.034 -0.433 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01354 HGDP01354 -0.342 -0.228 0.03 0.172 0.415 -0.184 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.352 -0.204 0.043 0.265 0.496 -0.094 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.16 -0.068 0.141 0.287 0.459 -0.13 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.232 0.288 0.351 0.353 0.448 -0.144 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01356 HGDP01356 -1.93 -1.885 -1.847 -1.338 -0.807 -1.041 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.635 -1.554 -1.443 -1.007 -0.54 -0.842 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.775 -0.802 -0.675 -0.366 -0.106 -0.602 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.291 -0.381 -0.392 -0.237 0.035 -0.505 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_A09 LP6005441-DNA_A09 -0.667 -0.593 -0.58 -0.549 -0.708 -0.826 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.71 -0.612 -0.513 -0.434 -0.567 -0.796 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.54 -0.455 -0.4 -0.194 -0.278 -0.602 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.45 -0.326 -0.179 -0.035 -0.114 -0.546 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_B07 LP6005441-DNA_B07 -0.957 -1.173 -1.298 -1.652 -1.786 -1.207 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.934 -1.085 -1.302 -1.629 -1.85 -1.378 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.467 -1.553 -1.732 -1.922 -1.987 -1.381 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.129 -2.139 -2.192 -2.306 -2.22 -1.363 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_B09 LP6005441-DNA_B09 -0.256 -0.26 -0.422 -0.355 -0.397 -0.506 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.196 -0.332 -0.477 -0.45 -0.499 -0.47 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.14 -0.168 -0.262 -0.503 -0.772 -0.564 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.119 -0.069 -0.039 -0.329 -0.739 -0.603 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_C05 LP6005441-DNA_C05 0.404 0.475 0.541 0.491 0.718 1.968 3.115 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.363 0.341 0.3 0.232 0.518 1.856 3.113 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.004 -0.004 -0.078 -0.185 0.158 1.317 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.155 -0.142 -0.149 -0.18 -0.033 1.154 3.111 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_C06 LP6005441-DNA_C06 0.659 0.665 0.799 0.818 0.717 0.927 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.562 0.669 0.812 0.894 0.742 0.959 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.522 0.644 0.76 0.897 0.737 0.996 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.435 0.5 0.584 0.702 0.638 1.003 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_C08 LP6005441-DNA_C08 0.084 0.261 0.465 0.249 -0.172 -0.765 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.116 0.245 0.344 0.31 -0.141 -0.61 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.051 0.058 0.175 0.298 -0.03 -0.331 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.095 -0.023 0.104 0.257 0.025 -0.247 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_D04 LP6005441-DNA_D04 0.537 0.821 1.094 1.302 1.263 0.918 0.084 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.887 1.068 1.214 1.351 1.399 0.894 0.059 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.428 1.498 1.537 1.552 1.616 1.157 0.03 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.566 1.545 1.475 1.478 1.614 1.253 0.023 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_D05 LP6005441-DNA_D05 0.936 0.815 0.58 0.26 -0.205 -0.518 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.816 0.671 0.553 0.204 -0.331 -0.583 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.463 0.419 0.325 0.183 -0.291 -0.652 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.258 0.282 0.253 0.177 -0.105 -0.673 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_D06 LP6005441-DNA_D06 1.055 1.118 1.12 1.02 0.993 0.894 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.849 0.923 0.965 0.849 0.676 0.78 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.217 0.261 0.302 0.343 0.169 0.546 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.299 -0.277 -0.273 -0.197 -0.114 0.449 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_D08 LP6005441-DNA_D08 -0.518 -0.599 -0.6 -0.525 -0.665 -0.932 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.62 -0.669 -0.628 -0.485 -0.486 -0.813 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.828 -0.772 -0.676 -0.564 -0.386 -0.53 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.944 -0.919 -0.82 -0.678 -0.43 -0.478 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_D12 LP6005441-DNA_D12 0.143 0.248 0.218 0.501 0.703 0.517 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.327 0.339 0.354 0.639 0.836 0.779 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.531 0.545 0.505 0.484 0.744 0.945 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.402 0.41 0.354 0.241 0.43 0.951 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_E08 LP6005441-DNA_E08 0.649 0.804 0.848 0.721 0.544 0.889 0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.782 0.867 0.915 0.769 0.689 0.915 0.609 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.956 0.906 0.861 0.895 0.842 1.08 0.624 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.953 0.925 0.945 0.99 0.892 1.184 0.627 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_E09 LP6005441-DNA_E09 -0.967 -1.082 -1.225 -1.181 -0.803 -0.471 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.776 -0.881 -0.977 -1.015 -0.838 -0.673 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.676 -0.717 -0.76 -0.635 -0.649 -0.726 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.622 -0.657 -0.687 -0.619 -0.54 -0.697 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_F04 LP6005441-DNA_F04 -0.408 -0.397 -0.279 0.003 0.393 1.232 1.461 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.266 -0.16 -0.067 0.119 0.547 1.426 1.459 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.173 0.224 0.325 0.367 0.801 1.649 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.377 0.368 0.41 0.506 0.893 1.747 1.454 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_F08 LP6005441-DNA_F08 1.131 0.987 0.5 -0.093 -0.487 0.311 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.783 0.635 0.175 -0.433 -0.686 0.026 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.038 -0.221 -0.459 -0.706 -0.864 -0.419 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.336 -0.452 -0.596 -0.772 -0.756 -0.551 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_F09 LP6005441-DNA_F09 -0.552 -0.551 -0.604 -0.695 -0.44 -0.32 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.513 -0.504 -0.464 -0.51 -0.309 -0.282 -0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.188 -0.166 -0.124 -0.017 0.016 -0.194 -0.711 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.163 0.149 0.155 0.221 0.266 -0.111 -0.696 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_F12 LP6005441-DNA_F12 -1.116 -1.094 -1.061 -0.619 -0.487 -0.741 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.939 -0.889 -0.813 -0.513 -0.523 -0.86 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.096 -0.13 -0.119 -0.071 -0.24 -0.869 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.573 0.531 0.46 0.339 -0.009 -0.84 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_G03 LP6005441-DNA_G03 -0.872 -0.893 -0.905 -0.825 -0.603 0.153 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.066 -1.107 -1.14 -1.08 -0.832 0.009 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.391 -1.409 -1.497 -1.637 -1.328 -0.234 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.647 -1.71 -1.773 -1.905 -1.743 -0.341 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_G05 LP6005441-DNA_G05 -1.434 -1.516 -1.602 -1.898 -2.022 -1.62 -1.176 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.227 -1.316 -1.435 -1.759 -1.891 -1.62 -1.136 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.85 -0.913 -1.07 -1.371 -1.7 -1.438 -1.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.706 -0.793 -0.984 -1.337 -1.685 -1.378 -1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_H03 LP6005441-DNA_H03 1.041 0.8 0.641 0.308 -0.538 -1.422 -1.75 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.792 0.669 0.53 0.276 -0.448 -1.478 -1.778 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.736 0.674 0.54 0.341 -0.07 -1.243 -1.811 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.946 0.866 0.735 0.495 0.109 -1.143 -1.819 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_H05 LP6005441-DNA_H05 0.175 0.119 -0.089 -0.175 -0.325 -0.1 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.41 0.315 0.066 -0.119 -0.241 -0.063 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.471 0.302 0.121 -0.202 -0.327 0.077 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.375 0.164 -0.068 -0.39 -0.52 0.156 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005442-DNA_D01 LP6005442-DNA_D01 1.215 1.157 0.898 0.5 0.325 -0.335 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.349 1.271 0.939 0.5 0.299 -0.188 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.52 1.388 1.103 0.628 0.179 -0.1 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.517 1.357 1.063 0.615 0.047 -0.111 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005442-DNA_F01 LP6005442-DNA_F01 -0.954 -1.187 -1.338 -1.554 -1.336 -0.711 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.302 -1.41 -1.539 -1.591 -1.252 -0.607 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.378 -1.386 -1.457 -1.424 -1.162 -0.31 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.31 -1.36 -1.363 -1.357 -1.144 -0.199 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005442-DNA_G01 LP6005442-DNA_G01 -0.358 -0.43 -0.394 -0.206 -0.122 -0.271 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.559 -0.608 -0.545 -0.281 -0.065 -0.052 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.947 -0.91 -0.768 -0.502 -0.146 -0.115 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.193 -1.115 -0.948 -0.591 -0.168 -0.143 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005442-DNA_H01 LP6005442-DNA_H01 2.792 2.75 2.526 2.063 1.312 -0.002 -0.553 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.376 2.259 2.179 1.821 1.185 0.271 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.854 1.754 1.641 1.338 0.848 0.333 -0.571 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.666 1.562 1.349 1.099 0.671 0.328 -0.573 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005443-DNA_A02 LP6005443-DNA_A02 0.055 -0.02 -0.086 -0.316 -0.539 -0.348 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.584 0.445 0.27 -0.075 -0.415 -0.394 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.329 1.169 1.013 0.717 -0.042 -0.498 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.604 1.444 1.259 1.021 0.279 -0.52 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005443-DNA_B01 LP6005443-DNA_B01 0.348 0.392 0.273 0.159 0.312 0.927 1.281 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.139 0.082 0.011 -0.014 0.262 0.959 1.276 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.205 -0.266 -0.323 -0.373 0.114 0.763 1.27 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.341 -0.391 -0.43 -0.403 0.027 0.686 1.269 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005443-DNA_C02 LP6005443-DNA_C02 -0.778 -0.615 -0.501 -0.431 -0.513 -0.952 -0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.599 -0.553 -0.535 -0.449 -0.372 -0.792 -0.954 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.458 -0.448 -0.438 -0.418 -0.351 -0.72 -0.896 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.368 -0.343 -0.315 -0.325 -0.312 -0.704 -0.881 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005443-DNA_D02 LP6005443-DNA_D02 -0.508 -0.481 -0.312 -0.206 -0.289 -0.179 -0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.163 -0.088 -0.042 -0.068 -0.269 -0.28 -0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.404 0.39 0.347 0.259 -0.008 -0.356 -0.386 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.767 0.75 0.715 0.59 0.225 -0.337 -0.388 NA NA NA NA NA NA NA NA NA NA NA NA NA
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+NA19006 NA19006 -0.153 -0.239 -0.293 -0.285 -0.406 -0.837 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.381 -0.446 -0.474 -0.557 -0.558 -0.583 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.293 -0.278 -0.351 -0.638 -0.801 -0.522 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.173 -0.219 -0.237 -0.418 -0.752 -0.508 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19007 NA19007 0.391 0.33 0.376 0.416 0.543 0.763 0.58 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.648 0.636 0.61 0.607 0.515 0.602 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.995 0.977 0.935 0.873 0.773 0.623 0.608 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.029 1.004 1.041 1.005 0.899 0.695 0.611 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19009 NA19009 0.405 0.407 0.484 0.449 0.493 0 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.59 0.673 0.726 0.678 0.729 0.116 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.643 0.669 0.681 0.679 0.909 0.28 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.493 0.498 0.505 0.554 0.973 0.346 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19010 NA19010 -0.246 -0.137 -0.073 0.088 0.14 0.533 1.284 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.261 -0.12 -0.044 0.052 0.037 0.329 1.279 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.158 0.215 0.313 0.227 0.08 0.144 1.273 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.314 0.332 0.354 0.315 0.191 0.073 1.272 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19011 NA19011 0.472 0.363 0.328 0.664 0.839 0.857 0.58 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.437 0.45 0.464 0.834 1.022 0.892 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.441 0.536 0.714 0.985 1.225 1.038 0.608 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.437 0.545 0.739 1.009 1.269 1.1 0.611 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19012 NA19012 0.657 0.531 0.49 0.543 0.463 0.071 -0.376 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.746 0.669 0.62 0.654 0.525 0.15 -0.381 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.635 0.683 0.746 0.758 0.667 0.312 -0.389 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.582 0.588 0.611 0.687 0.736 0.362 -0.391 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19055 NA19055 0.804 0.786 0.755 0.644 0.554 0.414 -0.376 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.895 0.832 0.729 0.561 0.598 0.442 -0.381 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.888 0.84 0.764 0.676 0.672 0.515 -0.389 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.692 0.689 0.68 0.736 0.726 0.542 -0.391 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19056 NA19056 1.955 2.096 2.264 2.265 1.805 0.761 -0.376 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.203 2.314 2.372 2.321 1.907 0.818 -0.381 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.298 2.322 2.335 2.205 1.969 1.051 -0.389 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.159 2.216 2.285 2.174 1.99 1.128 -0.391 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19057 NA19057 -0.125 0.222 0.591 0.693 0.586 0.083 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.047 0.259 0.48 0.75 0.94 0.233 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.577 0.652 0.698 0.834 1.223 0.536 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.538 0.602 0.71 0.835 1.222 0.602 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
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+NA19059 NA19059 1.269 1.164 0.902 -0.004 -1.344 -2.168 -1.913 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.076 0.951 0.627 -0.091 -1.084 -2.09 -1.942 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.931 0.784 0.522 0.097 -0.65 -1.784 -1.978 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.052 0.937 0.748 0.338 -0.295 -1.648 -1.987 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19060 NA19060 1.53 1.293 1.049 0.911 0.924 0.29 -0.376 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.768 1.627 1.498 1.344 1.222 0.371 -0.381 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.254 2.208 2.098 2.01 1.761 0.686 -0.389 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.503 2.472 2.354 2.232 1.994 0.816 -0.391 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19062 NA19062 -2.4 -2.646 -2.887 -3.025 -2.61 -1.542 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.731 -2.972 -3.165 -3.122 -2.665 -1.804 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.88 -3.002 -3.085 -3.025 -2.725 -2.111 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.365 -2.533 -2.674 -2.815 -2.713 -2.184 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19063 NA19063 -0.96 -1.035 -1.101 -1.013 -1.175 -1.048 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.391 -1.36 -1.304 -1.228 -1.304 -1.059 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.862 -1.74 -1.63 -1.537 -1.418 -1.146 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.928 -1.778 -1.624 -1.469 -1.35 -1.167 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19064 NA19064 0.852 0.713 0.512 0.335 0.076 -0.285 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.717 0.661 0.496 0.345 0.11 -0.286 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.738 0.674 0.669 0.607 0.257 -0.454 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.767 0.733 0.727 0.747 0.401 -0.497 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19065 NA19065 -0.677 -0.541 -0.481 -0.295 -0.515 -1.438 -1.171 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.395 -0.239 -0.2 0.092 -0.16 -0.981 -1.131 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.051 0.032 0.111 0.268 0.227 -0.53 -1.075 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.084 -0.07 0.003 0.199 0.251 -0.4 -1.061 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19066 NA19066 0.376 0.178 -0.061 -0.351 -0.561 -0.544 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.475 0.266 0.091 -0.178 -0.363 -0.586 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.488 0.386 0.273 0.064 -0.234 -0.656 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.236 0.167 0.141 0.008 -0.232 -0.693 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19067 NA19067 -0.799 -0.654 -0.514 -0.186 0.085 0.711 0.402 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.786 -0.661 -0.521 -0.327 -0.14 0.595 0.413 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.704 -0.716 -0.642 -0.509 -0.44 0.428 0.425 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.759 -0.776 -0.798 -0.685 -0.61 0.398 0.427 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19068 NA19068 -0.844 -0.921 -0.972 -1.042 -1.279 -1.771 -1.171 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.747 -0.821 -0.814 -0.857 -1.083 -1.826 -1.131 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.409 -0.439 -0.472 -0.476 -0.871 -1.955 -1.075 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.075 -0.112 -0.087 -0.166 -0.604 -2.03 -1.061 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19070 NA19070 -1.297 -1.124 -1.066 -1.176 -1.465 -1.8 -1.913 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.175 -1.049 -0.859 -0.738 -0.878 -1.489 -1.942 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.444 -0.39 -0.243 -0.128 -0.101 -1.077 -1.978 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.087 0.113 0.217 0.263 0.257 -0.933 -1.987 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19072 NA19072 2.503 2.455 2.475 2.501 2.236 1.684 1.284 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.505 2.479 2.484 2.412 2.141 1.633 1.279 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.188 2.195 2.204 2.193 2.01 1.485 1.273 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.712 1.815 1.94 2.057 1.991 1.438 1.272 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19074 NA19074 0.628 0.693 0.647 0.36 0.201 0.054 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.569 0.529 0.377 0.264 0.257 0.083 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.492 0.466 0.352 0.227 0.307 0.248 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.32 0.369 0.374 0.322 0.365 0.286 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19075 NA19075 0.096 -0.143 -0.486 -0.787 -1.214 -1.062 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.113 -0.11 -0.408 -0.655 -1.164 -1.14 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.035 -0.051 -0.201 -0.511 -1.072 -1.247 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.068 -0.085 -0.152 -0.468 -1.111 -1.265 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19076 NA19076 -1.179 -1.272 -1.395 -1.622 -1.559 -1.007 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.896 -1.055 -1.193 -1.391 -1.358 -1.089 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.799 -0.926 -1.109 -1.237 -1.184 -1.074 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.948 -0.956 -0.972 -1.164 -1.182 -1.042 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19077 NA19077 0.45 0.433 0.388 0.633 0.701 0.185 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.648 0.632 0.565 0.869 0.976 0.456 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.983 0.977 0.973 1.03 1.35 0.692 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.056 1.058 1.076 1.171 1.428 0.793 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19078 NA19078 1.46 1.455 1.461 1.287 1.419 2.017 1.639 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.09 1.191 1.192 1.207 1.422 1.985 1.64 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.665 0.77 0.849 1.122 1.414 1.899 1.639 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.66 0.788 0.933 1.157 1.513 1.864 1.639 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19079 NA19079 -1.495 -1.662 -1.7 -1.747 -1.631 -1.1 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.354 -1.433 -1.436 -1.405 -1.492 -0.99 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.917 -0.887 -0.824 -0.867 -1.205 -0.935 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.568 -0.592 -0.594 -0.662 -1.003 -0.93 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19080 NA19080 -0.246 -0.111 0.001 -0.154 -0.582 -1.325 -1.735 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.054 0.045 0.2 0.16 -0.388 -1.188 -1.762 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.325 0.348 0.42 0.351 -0.246 -0.824 -1.795 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.389 0.425 0.474 0.305 -0.314 -0.689 -1.803 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19081 NA19081 0.088 0.237 0.38 0.495 -0.093 -0.685 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.348 0.442 0.553 0.681 0.117 -0.411 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.622 0.654 0.668 0.671 0.288 -0.264 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.804 0.736 0.638 0.493 0.274 -0.253 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19082 NA19082 0.959 0.978 0.847 0.789 0.657 0.842 1.284 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.892 0.949 0.886 0.816 0.584 0.623 1.279 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.563 0.628 0.713 0.827 0.728 0.371 1.273 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.458 0.515 0.646 0.835 0.846 0.338 1.272 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19083 NA19083 0.044 -0.024 0.005 -0.103 -0.355 -0.517 -0.376 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.117 0.098 0.096 -0.044 -0.619 -0.788 -0.381 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.062 -0.034 0.021 0.086 -0.659 -0.919 -0.389 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.187 -0.129 -0.072 0.015 -0.545 -0.921 -0.391 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19084 NA19084 0.27 0.326 0.469 0.45 0.565 0.82 1.284 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.065 0.037 0.238 0.39 0.587 1.056 1.279 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.291 -0.209 -0.065 0.048 0.384 1.011 1.273 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.342 -0.298 -0.235 -0.128 0.197 0.935 1.272 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19085 NA19085 -0.295 -0.251 -0.125 -0.18 0.023 -0.326 -0.993 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.258 -0.166 -0.082 0.024 0.205 -0.035 -0.95 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.217 0.299 0.279 0.397 0.535 0.292 -0.893 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.417 0.516 0.608 0.681 0.793 0.389 -0.878 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19086 NA19086 -1.569 -1.358 -1.269 -1.313 -0.919 -0.42 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.535 -1.441 -1.478 -1.372 -0.946 -0.533 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.259 -1.218 -1.192 -1.195 -0.968 -0.604 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.768 -0.845 -0.906 -1.046 -1.009 -0.635 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19087 NA19087 -1.427 -1.443 -1.565 -1.354 -1.309 -0.849 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.304 -1.289 -1.355 -1.16 -1.074 -0.784 -0.562 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.194 -1.224 -1.198 -1.088 -0.953 -0.824 -0.572 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.123 -1.214 -1.254 -1.148 -1 -0.839 -0.574 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19088 NA19088 0.01 -0.172 -0.317 -0.536 -0.176 0.587 1.284 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.397 -0.513 -0.584 -0.673 -0.237 0.551 1.279 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.727 -0.775 -0.845 -0.908 -0.501 0.274 1.273 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.546 -0.664 -0.817 -0.972 -0.66 0.181 1.272 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19089 NA19089 -0.234 -0.183 -0.179 -0.214 0.065 0.587 1.284 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.278 -0.251 -0.278 -0.282 -0.038 0.551 1.279 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.344 -0.301 -0.281 -0.233 -0.105 0.274 1.273 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.157 -0.175 -0.208 -0.197 -0.065 0.181 1.272 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19090 NA19090 1.194 1.193 1.194 1.244 1.445 0.876 -0.376 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.47 1.462 1.397 1.397 1.525 0.908 -0.381 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.829 1.79 1.738 1.672 1.729 1.045 -0.389 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.729 1.661 1.635 1.646 1.759 1.12 -0.391 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA19091 NA19091 -0.425 -0.46 -0.484 -0.288 0.214 1.123 1.462 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.386 -0.336 -0.286 -0.176 0.261 1.269 1.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.244 -0.215 -0.198 -0.231 0.115 1.217 1.456 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.167 -0.225 -0.337 -0.343 -0.113 1.185 1.455 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EAS.scale b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EAS.scale
index 2e065224..8d30e334 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EAS.scale
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EAS.scale
@@ -1,11 +1,11 @@
 Param Mean SD
-SCORE_s0.2_lambda0.001 0.0262375583894166 0.011237747829712
-SCORE_s0.2_lambda0.00127427498570313 0.0250701221451832 0.00917667718562329
-SCORE_s0.2_lambda0.00162377673918872 0.0217762423880597 0.0070729981449318
-SCORE_s0.2_lambda0.00206913808111479 0.0154376794056988 0.0049200291228459
-SCORE_s0.2_lambda0.00263665089873036 0.00705392883175034 0.00295975186723439
-SCORE_s0.2_lambda0.00335981828628378 0.00143720678700136 0.00150315654762456
-SCORE_s0.2_lambda0.00428133239871939 0.000344576829036635 0.000622875024978204
+SCORE_s0.2_lambda0.001 0.02637887528019 0.0112162390646308
+SCORE_s0.2_lambda0.00127427498570313 0.0251218494165536 0.00916956164763113
+SCORE_s0.2_lambda0.00162377673918872 0.0217851956580733 0.00707143469133779
+SCORE_s0.2_lambda0.00206913808111479 0.01550435392673 0.00492017752179486
+SCORE_s0.2_lambda0.00263665089873036 0.00715615075033921 0.00296108649607107
+SCORE_s0.2_lambda0.00335981828628378 0.00156615191485753 0.00151273969389813
+SCORE_s0.2_lambda0.00428133239871939 0.000349660729715061 0.000631276091420296
 SCORE_s0.2_lambda0.00545559478116852 0 0
 SCORE_s0.2_lambda0.00695192796177561 0 0
 SCORE_s0.2_lambda0.00885866790410083 0 0
@@ -19,13 +19,13 @@ SCORE_s0.2_lambda0.0483293023857176 0 0
 SCORE_s0.2_lambda0.0615848211066027 0 0
 SCORE_s0.2_lambda0.0784759970351462 0 0
 SCORE_s0.2_lambda0.1 0 0
-SCORE_s0.5_lambda0.001 0.0298980674177748 0.0124061899075849
-SCORE_s0.5_lambda0.00127427498570313 0.0270668111872456 0.0103802929744255
-SCORE_s0.5_lambda0.00162377673918872 0.021726502807327 0.00803485152241825
-SCORE_s0.5_lambda0.00206913808111479 0.016274234156038 0.00559843105073014
-SCORE_s0.5_lambda0.00263665089873036 0.00750215079330801 0.00334760031217184
-SCORE_s0.5_lambda0.00335981828628378 0.000879412371804613 0.00152750606258598
-SCORE_s0.5_lambda0.00428133239871939 0.000344753523744912 0.00061474169049051
+SCORE_s0.5_lambda0.001 0.0300044043405699 0.0124004383128119
+SCORE_s0.5_lambda0.00127427498570313 0.0272009677964722 0.0103751384994842
+SCORE_s0.5_lambda0.00162377673918872 0.0218021381234735 0.00803234881372343
+SCORE_s0.5_lambda0.00206913808111479 0.0163893431641791 0.00559640049977708
+SCORE_s0.5_lambda0.00263665089873036 0.00761177882605156 0.00334474554998986
+SCORE_s0.5_lambda0.00335981828628378 0.00100151761126187 0.00153119047612874
+SCORE_s0.5_lambda0.00428133239871939 0.00034987635468114 0.00062307312560397
 SCORE_s0.5_lambda0.00545559478116852 0 0
 SCORE_s0.5_lambda0.00695192796177561 0 0
 SCORE_s0.5_lambda0.00885866790410083 0 0
@@ -39,13 +39,13 @@ SCORE_s0.5_lambda0.0483293023857176 0 0
 SCORE_s0.5_lambda0.0615848211066027 0 0
 SCORE_s0.5_lambda0.0784759970351462 0 0
 SCORE_s0.5_lambda0.1 0 0
-SCORE_s0.9_lambda0.001 0.0631018163473541 0.0231547355371502
-SCORE_s0.9_lambda0.00127427498570313 0.0514414645427408 0.019252113688198
-SCORE_s0.9_lambda0.00162377673918872 0.0394139994834464 0.0147080396456632
-SCORE_s0.9_lambda0.00206913808111479 0.0270345960203528 0.00957177830612353
-SCORE_s0.9_lambda0.00263665089873036 0.0117941531628223 0.00490907700484847
-SCORE_s0.9_lambda0.00335981828628378 0.00038153467761194 0.00174706483440314
-SCORE_s0.9_lambda0.00428133239871939 0.000345733050746269 0.000605645709304305
+SCORE_s0.9_lambda0.001 0.0632564256363636 0.023150005724737
+SCORE_s0.9_lambda0.00127427498570313 0.0516016509185889 0.0192463674325789
+SCORE_s0.9_lambda0.00162377673918872 0.0395710607723202 0.0147011750176511
+SCORE_s0.9_lambda0.00206913808111479 0.027208760890095 0.00956313792175902
+SCORE_s0.9_lambda0.00263665089873036 0.0119186312890095 0.00490111846696368
+SCORE_s0.9_lambda0.00335981828628378 0.000512830681546812 0.00173983208674878
+SCORE_s0.9_lambda0.00428133239871939 0.000350921846675712 0.000613915266263478
 SCORE_s0.9_lambda0.00545559478116852 0 0
 SCORE_s0.9_lambda0.00695192796177561 0 0
 SCORE_s0.9_lambda0.00885866790410083 0 0
@@ -59,13 +59,13 @@ SCORE_s0.9_lambda0.0483293023857176 0 0
 SCORE_s0.9_lambda0.0615848211066027 0 0
 SCORE_s0.9_lambda0.0784759970351462 0 0
 SCORE_s0.9_lambda0.1 0 0
-SCORE_s1_lambda0.001 0.126334423731343 0.0402824562819916
-SCORE_s1_lambda0.00127427498570313 0.0992975679918589 0.0327546766073528
-SCORE_s1_lambda0.00162377673918872 0.0721905860379919 0.0243334899609946
-SCORE_s1_lambda0.00206913808111479 0.0464806227137042 0.014923874277032
-SCORE_s1_lambda0.00263665089873036 0.0182779001282225 0.00660932721739627
-SCORE_s1_lambda0.00335981828628378 0.000298524250067843 0.00187561415149651
-SCORE_s1_lambda0.00428133239871939 0.000346113880868385 0.000603678413285567
+SCORE_s1_lambda0.001 0.126570229240163 0.0402776318615605
+SCORE_s1_lambda0.00127427498570313 0.0995309869199457 0.0327475867382534
+SCORE_s1_lambda0.00162377673918872 0.0723723672455902 0.0243262690633401
+SCORE_s1_lambda0.00206913808111479 0.0466597910312076 0.014917247798116
+SCORE_s1_lambda0.00263665089873036 0.0184343129009498 0.00660144649936084
+SCORE_s1_lambda0.00335981828628378 0.000434336090244233 0.00186509273704089
+SCORE_s1_lambda0.00428133239871939 0.000351321735549525 0.000611937736822551
 SCORE_s1_lambda0.00545559478116852 0 0
 SCORE_s1_lambda0.00695192796177561 0 0
 SCORE_s1_lambda0.00885866790410083 0 0
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EUR.profiles b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EUR.profiles
index 14317dd8..74055162 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EUR.profiles
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EUR.profiles
@@ -1,666 +1,666 @@
 FID IID SCORE_s0.2_lambda0.001 SCORE_s0.2_lambda0.00127427498570313 SCORE_s0.2_lambda0.00162377673918872 SCORE_s0.2_lambda0.00206913808111479 SCORE_s0.2_lambda0.00263665089873036 SCORE_s0.2_lambda0.00335981828628378 SCORE_s0.2_lambda0.00428133239871939 SCORE_s0.2_lambda0.00545559478116852 SCORE_s0.2_lambda0.00695192796177561 SCORE_s0.2_lambda0.00885866790410083 SCORE_s0.2_lambda0.0112883789168469 SCORE_s0.2_lambda0.0143844988828766 SCORE_s0.2_lambda0.0183298071083244 SCORE_s0.2_lambda0.0233572146909012 SCORE_s0.2_lambda0.0297635144163132 SCORE_s0.2_lambda0.0379269019073225 SCORE_s0.2_lambda0.0483293023857176 SCORE_s0.2_lambda0.0615848211066027 SCORE_s0.2_lambda0.0784759970351462 SCORE_s0.2_lambda0.1 SCORE_s0.5_lambda0.001 SCORE_s0.5_lambda0.00127427498570313 SCORE_s0.5_lambda0.00162377673918872 SCORE_s0.5_lambda0.00206913808111479 SCORE_s0.5_lambda0.00263665089873036 SCORE_s0.5_lambda0.00335981828628378 SCORE_s0.5_lambda0.00428133239871939 SCORE_s0.5_lambda0.00545559478116852 SCORE_s0.5_lambda0.00695192796177561 SCORE_s0.5_lambda0.00885866790410083 SCORE_s0.5_lambda0.0112883789168469 SCORE_s0.5_lambda0.0143844988828766 SCORE_s0.5_lambda0.0183298071083244 SCORE_s0.5_lambda0.0233572146909012 SCORE_s0.5_lambda0.0297635144163132 SCORE_s0.5_lambda0.0379269019073225 SCORE_s0.5_lambda0.0483293023857176 SCORE_s0.5_lambda0.0615848211066027 SCORE_s0.5_lambda0.0784759970351462 SCORE_s0.5_lambda0.1 SCORE_s0.9_lambda0.001 SCORE_s0.9_lambda0.00127427498570313 SCORE_s0.9_lambda0.00162377673918872 SCORE_s0.9_lambda0.00206913808111479 SCORE_s0.9_lambda0.00263665089873036 SCORE_s0.9_lambda0.00335981828628378 SCORE_s0.9_lambda0.00428133239871939 SCORE_s0.9_lambda0.00545559478116852 SCORE_s0.9_lambda0.00695192796177561 SCORE_s0.9_lambda0.00885866790410083 SCORE_s0.9_lambda0.0112883789168469 SCORE_s0.9_lambda0.0143844988828766 SCORE_s0.9_lambda0.0183298071083244 SCORE_s0.9_lambda0.0233572146909012 SCORE_s0.9_lambda0.0297635144163132 SCORE_s0.9_lambda0.0379269019073225 SCORE_s0.9_lambda0.0483293023857176 SCORE_s0.9_lambda0.0615848211066027 SCORE_s0.9_lambda0.0784759970351462 SCORE_s0.9_lambda0.1 SCORE_s1_lambda0.001 SCORE_s1_lambda0.00127427498570313 SCORE_s1_lambda0.00162377673918872 SCORE_s1_lambda0.00206913808111479 SCORE_s1_lambda0.00263665089873036 SCORE_s1_lambda0.00335981828628378 SCORE_s1_lambda0.00428133239871939 SCORE_s1_lambda0.00545559478116852 SCORE_s1_lambda0.00695192796177561 SCORE_s1_lambda0.00885866790410083 SCORE_s1_lambda0.0112883789168469 SCORE_s1_lambda0.0143844988828766 SCORE_s1_lambda0.0183298071083244 SCORE_s1_lambda0.0233572146909012 SCORE_s1_lambda0.0297635144163132 SCORE_s1_lambda0.0379269019073225 SCORE_s1_lambda0.0483293023857176 SCORE_s1_lambda0.0615848211066027 SCORE_s1_lambda0.0784759970351462 SCORE_s1_lambda0.1
-HG00096 HG00096 -0.506 -0.554 -0.457 -0.077 0.031 0.096 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.524 -0.507 -0.328 -0.013 -0.017 0.112 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.509 -0.464 -0.335 -0.211 -0.148 0.027 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.573 -0.527 -0.416 -0.255 -0.235 -0.011 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00097 HG00097 -0.856 -0.771 -0.77 -1.051 -1.301 -1.57 -1.919 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.962 -0.954 -0.954 -1.009 -1.216 -1.503 -1.926 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.92 -0.931 -0.878 -0.802 -0.975 -1.451 -1.931 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.61 -0.661 -0.681 -0.684 -0.82 -1.441 -1.932 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00099 HG00099 -0.948 -1.172 -1.249 -1.009 -0.583 0.453 1.524 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.046 -1.092 -1.107 -0.992 -0.868 0.173 1.557 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.342 -1.28 -1.175 -1.012 -1.041 -0.277 1.599 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.349 -1.321 -1.296 -1.166 -1.086 -0.414 1.609 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00100 HG00100 0.698 1.039 1.308 1.57 1.897 2.029 1.051 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.888 1.126 1.349 1.616 1.909 2.036 1.028 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.427 1.52 1.608 1.798 1.982 2.246 0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.755 1.772 1.81 1.879 2.017 2.315 0.988 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00101 HG00101 0.733 0.554 0.578 0.922 1.014 0.582 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.629 0.536 0.677 0.971 1.029 0.521 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.639 0.627 0.71 0.791 0.713 0.538 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.613 0.638 0.651 0.619 0.539 0.47 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00102 HG00102 -0.355 -0.445 -0.593 -0.587 -0.709 -0.576 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.225 -0.312 -0.426 -0.522 -0.581 -0.541 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.11 0.09 0.036 -0.128 -0.285 -0.437 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.239 0.268 0.283 0.189 -0.135 -0.355 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00103 HG00103 -0.397 -0.464 -0.462 -0.253 -0.278 -0.182 0.213 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.487 -0.501 -0.362 -0.275 -0.325 -0.193 0.269 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.822 -0.768 -0.65 -0.636 -0.621 -0.266 0.344 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.024 -0.989 -0.982 -0.906 -0.792 -0.356 0.363 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00105 HG00105 -0.621 -0.608 -0.547 -0.281 -0.224 0.448 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.94 -0.969 -0.849 -0.568 -0.399 0.417 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.231 -1.173 -1.06 -1.029 -0.803 0.269 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.418 -1.394 -1.325 -1.257 -1.109 0.165 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00106 HG00106 -0.313 -0.509 -0.42 -0.129 -0.321 -0.727 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.359 -0.417 -0.338 -0.232 -0.397 -0.814 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.378 -0.35 -0.272 -0.258 -0.572 -0.915 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.401 -0.375 -0.309 -0.292 -0.639 -0.959 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00107 HG00107 0.84 0.832 0.906 0.862 0.768 0.798 0.526 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.517 0.577 0.64 0.729 0.798 0.873 0.517 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.156 0.2 0.276 0.511 0.865 1.008 0.5 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.265 0.303 0.391 0.57 0.919 1.082 0.496 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00108 HG00108 -0.844 -0.73 -0.663 -0.818 -0.747 -0.584 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.633 -0.587 -0.59 -0.703 -0.709 -0.368 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.297 -0.431 -0.527 -0.541 -0.513 -0.281 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.122 -0.277 -0.443 -0.447 -0.433 -0.221 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00109 HG00109 -0.312 -0.356 -0.436 -0.803 -0.984 -0.975 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.151 -0.192 -0.286 -0.702 -1.005 -0.961 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.721 -0.723 -0.74 -0.823 -1.05 -1.21 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.188 -1.198 -1.178 -1.08 -1.115 -1.246 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00110 HG00110 1.141 1.243 1.228 1.08 0.869 0.5 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.075 1.132 1.05 0.96 0.741 0.303 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.511 0.493 0.453 0.502 0.325 -0.017 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.008 -0.014 -0.022 0.069 0.093 -0.151 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00111 HG00111 0.465 0.28 0.176 0.071 -0.196 -0.304 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.275 0.188 0.136 0.065 -0.157 -0.155 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.221 0.224 0.201 0.073 -0.105 0.032 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.091 0.115 0.139 0.079 -0.119 0.106 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00112 HG00112 -1.397 -1.321 -1.239 -1.298 -1.392 -1.568 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.344 -1.316 -1.288 -1.267 -1.184 -1.475 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.123 -1.114 -1.13 -1.066 -0.892 -1.212 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.932 -0.93 -0.888 -0.871 -0.717 -1.131 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00113 HG00113 -0.616 -0.469 -0.33 -0.388 -0.277 -0.432 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.617 -0.507 -0.36 -0.389 -0.273 -0.493 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.313 -0.202 -0.14 -0.187 -0.028 -0.474 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.057 0.016 0.094 0.105 0.187 -0.452 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00114 HG00114 0.93 0.9 0.856 0.94 0.926 1.184 0.874 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.74 0.644 0.669 0.827 0.859 1.143 0.894 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.825 0.808 0.775 0.767 0.724 1.061 0.918 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.055 1.005 0.886 0.703 0.673 0.98 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00115 HG00115 0.18 0.277 0.49 0.565 0.853 0.836 0.526 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.12 0.279 0.483 0.632 0.853 0.945 0.517 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.372 0.474 0.678 0.882 0.952 1.028 0.5 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.719 0.73 0.848 0.979 1.103 1.058 0.496 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00116 HG00116 0.302 0.292 0.282 0.185 -0.284 -1.017 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.423 0.381 0.427 0.289 -0.135 -0.92 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.645 0.668 0.695 0.613 0.287 -0.856 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.697 0.678 0.653 0.679 0.554 -0.784 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00117 HG00117 1.128 1.425 1.805 2.22 2.274 1.974 0.675 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.585 1.831 2.165 2.455 2.41 1.995 0.667 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.223 2.316 2.477 2.683 2.536 2.185 0.653 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.427 2.401 2.38 2.493 2.441 2.235 0.649 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00118 HG00118 1.333 1.16 1.119 0.795 -0.001 -0.759 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.277 1.231 1.061 0.887 0.278 -0.73 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.37 1.383 1.298 1.109 0.731 -0.53 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.449 1.498 1.504 1.319 0.885 -0.47 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00119 HG00119 0.95 1.02 0.879 0.599 0.53 0.623 0.874 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.973 0.96 0.814 0.557 0.497 0.567 0.894 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.901 0.825 0.642 0.467 0.27 0.52 0.918 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.728 0.601 0.435 0.248 0.117 0.464 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00121 HG00121 -0.285 0.05 0.293 0.31 0.417 0.171 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.012 0.129 0.312 0.464 0.675 0.436 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.312 0.374 0.43 0.647 0.978 0.833 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.532 0.554 0.596 0.686 0.927 0.954 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00122 HG00122 -1.778 -1.655 -1.564 -1.458 -0.958 -0.596 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.534 -1.434 -1.332 -1.143 -0.766 -0.358 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.11 -1.103 -1.038 -0.885 -0.506 -0.062 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.993 -1.008 -0.984 -0.898 -0.522 0.038 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00123 HG00123 -1.092 -1.12 -1.025 -0.956 -1.239 -1.391 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.938 -0.932 -0.926 -0.907 -1.13 -1.399 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.035 -1.015 -0.941 -0.774 -0.854 -1.454 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.876 -0.894 -0.785 -0.605 -0.577 -1.464 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00125 HG00125 0.683 0.791 0.861 1.056 1.221 1.292 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.734 0.828 0.93 1.038 1.198 1.35 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.843 0.886 0.966 1.012 1.094 1.362 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.839 0.89 0.947 0.95 1.076 1.352 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00126 HG00126 -0.197 -0.22 -0.169 -0.213 -0.11 0.753 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.043 0.043 0.043 -0.067 -0.008 0.718 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.421 0.44 0.398 0.283 0.303 0.87 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.594 0.633 0.631 0.51 0.569 0.952 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00127 HG00127 -0.678 -0.765 -0.768 -0.693 -0.291 -0.287 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.838 -0.77 -0.709 -0.552 -0.189 -0.112 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.735 -0.603 -0.502 -0.315 0.015 0.165 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.508 -0.393 -0.231 -0.081 0.2 0.283 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00128 HG00128 -1.2 -1.166 -1.228 -1.374 -1.404 -0.609 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.328 -1.348 -1.427 -1.615 -1.589 -0.547 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.336 -1.365 -1.458 -1.679 -1.734 -0.637 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.15 -1.278 -1.444 -1.685 -1.81 -0.638 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00129 HG00129 -0.532 -0.676 -0.699 -0.42 -0.304 0.412 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.569 -0.624 -0.541 -0.296 -0.225 0.346 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.703 -0.669 -0.566 -0.446 -0.258 0.27 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.785 -0.694 -0.565 -0.455 -0.328 0.214 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00130 HG00130 0.739 0.791 0.844 1.071 0.945 0.924 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.606 0.632 0.73 0.879 0.811 0.824 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.25 0.318 0.436 0.573 0.649 0.537 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.055 0.094 0.182 0.365 0.538 0.426 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00131 HG00131 -0.324 -0.165 0.221 0.534 1.109 1.391 0.874 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.176 -0.107 0.179 0.562 1.158 1.445 0.894 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.034 0.194 0.404 0.667 1.2 1.512 0.918 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.397 0.528 0.726 0.921 1.246 1.479 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00132 HG00132 -1.145 -1.003 -0.817 -0.762 -0.82 -0.839 -1.406 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.183 -1.064 -0.85 -0.667 -0.672 -0.7 -1.451 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.814 -0.712 -0.629 -0.518 -0.291 -0.383 -1.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.36 -0.296 -0.219 -0.245 -0.049 -0.239 -1.524 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00133 HG00133 0.612 0.739 0.848 0.939 0.848 1.272 1.159 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.645 0.754 0.855 0.894 0.819 1.095 1.233 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.829 0.83 0.804 0.783 0.74 0.989 1.331 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.115 1.07 1.028 0.919 0.749 0.914 1.355 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00136 HG00136 1.193 1.128 0.837 0.48 0.181 0.257 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.233 1.187 0.981 0.659 0.2 0.194 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.915 0.885 0.793 0.63 0.187 -0.012 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.675 0.62 0.554 0.474 0.168 -0.121 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00137 HG00137 -1.19 -1.331 -1.423 -1.402 -1.452 -0.872 0.065 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.412 -1.506 -1.491 -1.595 -1.577 -0.981 0.118 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.692 -1.72 -1.734 -1.833 -1.744 -1.346 0.192 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.001 -1.999 -2.02 -1.978 -1.839 -1.441 0.21 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00138 HG00138 0.744 0.754 0.767 0.62 0.102 -0.24 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.941 0.909 0.907 0.62 0.074 -0.131 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.782 0.8 0.706 0.49 0.06 -0.147 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.528 0.499 0.413 0.268 -0.032 -0.14 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00139 HG00139 -0.763 -1.082 -1.345 -1.381 -1.275 -0.896 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.745 -0.949 -1.192 -1.29 -1.241 -0.917 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.02 -1.138 -1.295 -1.402 -1.487 -0.881 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.228 -1.311 -1.441 -1.625 -1.715 -0.872 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00140 HG00140 -2.341 -2.279 -2.16 -1.916 -1.593 -0.928 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.048 -1.939 -1.845 -1.679 -1.609 -0.924 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.861 -1.729 -1.574 -1.496 -1.512 -1.042 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.868 -1.693 -1.52 -1.384 -1.421 -1.044 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00141 HG00141 0.278 0.362 0.594 0.749 0.525 0.58 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.298 0.405 0.564 0.668 0.497 0.512 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.105 0.173 0.287 0.35 0.257 0.374 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.026 0.064 0.112 0.149 0.115 0.268 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00142 HG00142 0.213 0.246 0.31 0.201 0.43 0.876 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.042 0.065 0.036 0.053 0.417 0.75 0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.49 0.4 0.328 0.461 0.627 0.642 0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.189 1.099 1.039 1.08 1.05 0.608 0.242 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00143 HG00143 1.055 1.004 1.082 1.059 0.707 0.704 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.198 1.173 1.157 1.094 0.84 0.803 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.436 1.387 1.329 1.251 1.155 1.045 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.53 1.555 1.55 1.458 1.363 1.162 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00145 HG00145 -1.125 -0.914 -0.469 0.049 0.71 1.35 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.408 -1.195 -0.756 -0.162 0.479 1.342 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.925 -1.77 -1.473 -0.94 -0.037 1.124 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.973 -1.875 -1.681 -1.219 -0.36 1.001 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00146 HG00146 1.5 1.63 1.783 1.988 1.865 1.325 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.689 1.864 1.926 2.02 1.847 1.308 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.05 2.108 2.151 2.033 1.757 1.315 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.131 2.162 2.233 2.175 1.835 1.282 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00148 HG00148 -1.088 -0.947 -0.812 -0.699 -0.199 0.304 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.534 -0.478 -0.432 -0.379 -0.113 0.272 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.031 -0.019 -0.061 -0.1 0.108 0.277 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.107 0.061 -0.015 -0.054 0.144 0.311 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00149 HG00149 1.748 1.897 1.721 1.413 1.511 1.546 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.714 1.828 1.647 1.452 1.601 1.586 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.664 1.663 1.578 1.534 1.634 1.762 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.428 1.419 1.411 1.44 1.574 1.788 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00150 HG00150 -0.602 -0.643 -0.811 -1.159 -1.672 -2.266 -1.446 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.647 -0.764 -0.958 -1.243 -1.63 -2.192 -1.397 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.866 -1.004 -1.244 -1.518 -1.831 -1.961 -1.328 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.84 -0.999 -1.216 -1.566 -1.922 -1.921 -1.311 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00151 HG00151 1.111 0.875 0.432 0.003 0.016 0.252 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.252 1.025 0.683 0.287 0.103 0.227 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.024 0.878 0.675 0.478 0.132 0.221 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.688 0.625 0.51 0.329 0.103 0.18 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00155 HG00155 0.61 0.761 0.987 1.152 1.009 0.649 -0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.654 0.817 0.973 1.111 1.059 0.474 -0.621 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.821 0.859 0.896 1.056 1.106 0.428 -0.601 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.915 0.906 0.92 1.033 1.173 0.409 -0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00157 HG00157 1.189 1.226 1.081 1.088 0.946 0.775 1.524 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.026 1.023 0.918 0.857 0.833 0.786 1.557 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.91 0.852 0.746 0.577 0.475 0.716 1.599 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.735 0.641 0.509 0.345 0.266 0.701 1.609 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00158 HG00158 1.107 0.849 0.652 0.342 -0.236 -0.715 -1.149 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.457 1.205 0.837 0.336 -0.193 -0.836 -1.096 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.4 1.242 1.006 0.591 -0.158 -0.905 -1.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.042 0.949 0.797 0.54 -0.1 -0.978 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00159 HG00159 0.141 0.366 0.499 0.342 0.338 0.102 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.302 0.494 0.632 0.505 0.344 0.124 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.519 0.586 0.621 0.618 0.315 0.229 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.563 0.615 0.574 0.452 0.254 0.26 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00160 HG00160 0.589 0.453 0.345 0.418 0.606 1.112 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.679 0.623 0.62 0.637 0.821 1.173 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.108 1.113 1.155 1.206 1.366 1.443 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.397 1.439 1.533 1.607 1.632 1.585 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00171 HG00171 -0.751 -0.656 -0.493 -0.658 -0.988 -0.897 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.593 -0.593 -0.523 -0.636 -0.742 -0.745 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.535 -0.61 -0.691 -0.665 -0.515 -0.596 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.261 -0.362 -0.455 -0.485 -0.371 -0.59 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00173 HG00173 -1.78 -1.871 -2.02 -1.872 -1.61 -1.386 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.436 -1.515 -1.63 -1.562 -1.597 -1.465 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.034 -1.014 -0.994 -1.019 -1.205 -1.709 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.634 -0.601 -0.514 -0.483 -0.756 -1.733 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00174 HG00174 0.184 0.065 0.036 0.032 0.377 0.122 -0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.134 0.161 0.224 0.229 0.474 0.201 -0.621 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.326 0.409 0.494 0.619 0.788 0.466 -0.601 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.501 0.594 0.705 0.861 1.045 0.578 -0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00176 HG00176 -0.264 -0.298 -0.238 -0.334 -0.336 -0.286 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.136 -0.199 -0.227 -0.368 -0.544 -0.362 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.382 -0.434 -0.424 -0.334 -0.576 -0.537 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.595 -0.64 -0.646 -0.428 -0.567 -0.545 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00177 HG00177 0.787 0.945 0.898 0.631 0.699 0.966 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.019 0.985 0.832 0.53 0.542 0.899 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.915 0.886 0.752 0.636 0.46 0.753 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.635 0.64 0.586 0.572 0.49 0.698 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00178 HG00178 1.271 1.233 1.242 1.054 0.676 0.631 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.099 1.029 1.008 0.895 0.641 0.506 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.464 0.476 0.464 0.494 0.416 0.381 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.005 0.009 0.041 0.036 0.086 0.332 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00179 HG00179 -0.53 -0.562 -0.454 -0.411 -0.499 -0.153 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.567 -0.526 -0.438 -0.295 -0.389 -0.149 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.114 -0.072 -0.022 -0.09 -0.256 -0.281 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.265 0.253 0.254 0.067 -0.171 -0.358 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00180 HG00180 1.604 1.609 1.41 1.33 1.562 1.252 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.508 1.387 1.295 1.204 1.434 1.347 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.155 1.187 1.133 1.114 1.147 1.411 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.993 1.067 1.042 0.992 1.031 1.401 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00181 HG00181 1.776 1.728 1.641 1.588 1.337 1.191 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.602 1.554 1.463 1.477 1.309 1.237 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.54 1.513 1.48 1.437 1.277 1.202 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.556 1.572 1.57 1.573 1.342 1.157 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00182 HG00182 0.537 0.443 0.41 0.386 0.433 -0.401 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.512 0.447 0.475 0.505 0.493 -0.3 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.311 0.279 0.353 0.534 0.71 -0.192 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.289 0.276 0.281 0.474 0.759 -0.097 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00183 HG00183 1.477 1.493 1.338 1.093 1.16 1.226 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.551 1.497 1.277 0.967 1.039 1.189 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.184 1.174 1.076 0.859 0.751 1.093 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.764 0.721 0.681 0.632 0.601 1.051 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00185 HG00185 0.675 0.764 0.821 0.593 0.994 1.435 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.696 0.747 0.744 0.549 0.966 1.397 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.702 0.809 0.857 0.869 1.02 1.348 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.891 0.975 1.093 1.136 1.226 1.338 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00186 HG00186 -0.442 -0.182 -0.035 0.121 0.092 -0.407 -1.149 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.001 0.091 0.153 0.242 0.179 -0.476 -1.096 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.687 0.741 0.807 0.858 0.44 -0.412 -1.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.073 1.107 1.194 1.236 0.774 -0.415 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00187 HG00187 1.627 1.849 2.107 2.243 2.434 1.884 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.623 1.804 2.004 2.216 2.399 1.922 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.512 1.641 1.727 1.902 2.196 1.896 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.38 1.459 1.534 1.671 1.999 1.883 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00188 HG00188 0.098 0.205 0.363 0.382 0.483 0.728 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.026 0.063 0.224 0.404 0.494 0.599 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.343 0.334 0.379 0.61 0.674 0.496 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.732 0.663 0.67 0.728 0.774 0.507 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00189 HG00189 0.303 0.468 0.569 0.642 0.646 0.723 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.449 0.53 0.692 0.718 0.748 0.88 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.458 0.496 0.56 0.608 0.637 1.072 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.274 0.27 0.274 0.322 0.432 1.097 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00190 HG00190 -1.264 -1.302 -1.427 -1.349 -0.977 -0.675 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.289 -1.268 -1.396 -1.328 -1.002 -0.8 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.955 -0.965 -1.032 -1.107 -0.977 -0.847 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.716 -0.689 -0.664 -0.776 -0.859 -0.838 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00231 HG00231 -1.325 -1.113 -0.922 -0.845 -0.602 -0.28 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.147 -0.979 -0.912 -0.897 -0.701 -0.318 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.973 -0.919 -0.844 -0.861 -0.81 -0.397 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.049 -1.002 -0.913 -0.872 -0.888 -0.386 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00232 HG00232 0.23 0.271 0.32 0.31 0.102 0.009 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.516 0.588 0.667 0.55 0.227 0.053 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.994 1.069 1.135 1.035 0.598 0.154 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.291 1.325 1.317 1.235 0.871 0.227 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00233 HG00233 1.635 1.466 1.479 1.426 1.147 0.809 1.575 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.353 1.303 1.317 1.317 1.125 0.712 1.633 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.485 1.429 1.361 1.249 0.899 0.539 1.711 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.604 1.581 1.485 1.288 0.878 0.373 1.731 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00234 HG00234 -0.636 -0.421 -0.068 0.212 0.303 -0.006 -0.043 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.332 -0.144 0.163 0.452 0.326 0.103 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.21 -0.065 0.153 0.335 0.317 0.021 -0.143 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.355 -0.248 -0.079 0.133 0.198 -0.004 -0.157 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00235 HG00235 -0.402 -0.464 -0.513 -0.49 -0.599 -0.189 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.672 -0.705 -0.639 -0.599 -0.752 -0.32 0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.926 -0.887 -0.743 -0.686 -0.927 -0.508 0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.817 -0.826 -0.766 -0.686 -0.928 -0.593 0.242 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00236 HG00236 0.797 1.048 1.126 1.053 0.758 0.436 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.992 1.135 1.149 1.129 0.918 0.473 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.796 0.835 0.873 0.945 0.883 0.569 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.641 0.687 0.748 0.832 0.819 0.542 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00237 HG00237 1.686 1.633 1.769 1.954 1.991 1.855 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.017 1.984 2.084 2.121 2.098 2.017 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.141 2.155 2.188 2.137 1.972 2.219 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.789 1.779 1.776 1.751 1.708 2.24 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00239 HG00239 0.19 0.226 0.343 0.634 0.496 -0.091 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.674 0.671 0.807 0.936 0.586 -0.019 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.039 1.056 1.112 1.041 0.717 0.101 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.076 1.035 0.957 0.872 0.648 0.124 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00240 HG00240 1.818 1.868 1.912 1.812 1.822 1.899 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.892 1.978 1.953 1.815 1.827 1.935 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.908 1.911 1.898 1.73 1.759 2.002 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.786 1.746 1.693 1.622 1.63 1.986 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00242 HG00242 -1.086 -1.025 -1.097 -1.347 -1.28 -1.038 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.048 -1.021 -1.096 -1.317 -1.244 -0.983 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.288 -1.323 -1.328 -1.379 -1.224 -0.84 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.489 -1.54 -1.573 -1.633 -1.336 -0.77 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00243 HG00243 -2.775 -2.85 -2.727 -2.551 -2.1 -1.095 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.948 -2.9 -2.727 -2.407 -2.016 -0.974 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.578 -2.532 -2.455 -2.29 -1.874 -0.915 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.257 -2.272 -2.307 -2.254 -1.948 -0.86 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00244 HG00244 0.354 0.305 0.246 0.732 1.176 1.594 2.237 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.388 0.402 0.381 0.736 1.072 1.73 2.258 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.223 0.286 0.392 0.629 0.814 1.544 2.285 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.139 0.233 0.346 0.514 0.76 1.423 2.292 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00245 HG00245 -0.634 -0.852 -0.932 -0.859 -0.714 -0.926 -1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.702 -0.846 -0.894 -0.862 -0.828 -1.014 -1.246 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.509 -0.547 -0.556 -0.685 -0.994 -1.194 -1.175 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.38 -0.406 -0.445 -0.532 -0.9 -1.261 -1.157 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00246 HG00246 0.089 -0.098 -0.232 -0.262 -0.784 -1.007 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.163 -0.006 -0.127 -0.14 -0.658 -1.142 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.442 0.29 0.218 0.186 -0.293 -1.188 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.614 0.574 0.571 0.53 0.064 -1.178 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00250 HG00250 1.134 0.714 0.45 0.351 -0.144 -0.962 -1.919 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.009 0.78 0.558 0.481 0.145 -0.91 -1.926 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.128 1.042 0.953 0.797 0.565 -0.696 -1.931 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.095 1.063 1.016 1 0.767 -0.624 -1.932 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00251 HG00251 -0.729 -0.582 -0.511 -0.419 -0.307 -0.05 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.535 -0.433 -0.337 -0.201 -0.168 0.01 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.018 0.08 0.112 0.238 0.203 0.12 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.399 0.389 0.374 0.37 0.395 0.183 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00252 HG00252 0.842 0.966 1.158 1.161 0.455 -0.345 -0.408 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.792 0.902 1.128 1.16 0.605 -0.237 -0.411 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.774 0.859 0.974 0.963 0.724 -0.005 -0.411 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.746 0.789 0.818 0.822 0.676 0.05 -0.411 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00253 HG00253 0.362 0.441 0.447 0.275 0.356 0.437 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.195 0.271 0.371 0.42 0.481 0.564 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.275 0.268 0.345 0.429 0.582 0.509 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.382 0.359 0.415 0.581 0.61 0.504 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00254 HG00254 -0.763 -0.77 -0.877 -1.055 -1.078 -0.888 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.783 -0.841 -0.946 -1.125 -1.001 -0.773 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.695 -0.75 -0.874 -0.989 -0.787 -0.573 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.659 -0.676 -0.668 -0.742 -0.601 -0.468 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00255 HG00255 -0.766 -0.911 -0.929 -0.767 -0.512 0.235 -0.26 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.901 -0.946 -0.992 -0.918 -0.61 0.207 -0.26 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.711 -0.699 -0.692 -0.74 -0.53 0.27 -0.259 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.214 -0.216 -0.194 -0.269 -0.329 0.315 -0.258 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00256 HG00256 -0.882 -1.045 -1.291 -1.593 -1.619 -1.376 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.2 -1.282 -1.487 -1.724 -1.624 -1.464 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.697 -1.725 -1.784 -1.815 -1.694 -1.455 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.839 -1.878 -1.933 -1.959 -1.819 -1.466 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00257 HG00257 -0.684 -0.287 0.097 0.253 0.664 0.974 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.647 -0.349 0.021 0.251 0.514 0.972 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.547 -0.385 -0.139 0.141 0.325 0.787 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.558 -0.45 -0.248 0.003 0.216 0.729 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00258 HG00258 -0.58 -0.394 -0.249 -0.438 -0.451 -0.32 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.482 -0.382 -0.277 -0.48 -0.572 -0.362 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.365 -0.337 -0.323 -0.351 -0.503 -0.463 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.208 -0.225 -0.312 -0.392 -0.424 -0.442 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00259 HG00259 2.669 2.552 2.244 2.049 1.76 1.909 1.051 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.618 2.467 2.255 2.071 1.836 1.9 1.028 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.676 2.58 2.452 2.265 2.086 2.005 0.996 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.622 2.553 2.43 2.299 2.206 2.048 0.988 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00260 HG00260 0.634 0.383 0.092 -0.024 -0.186 -0.068 0.105 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.552 0.362 0.131 -0.059 -0.144 -0.034 0.064 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.551 0.509 0.451 0.223 0.005 0.191 0.01 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.435 0.439 0.42 0.316 0.07 0.27 -0.003 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00261 HG00261 -0.709 -0.708 -0.637 -0.632 -0.456 -0.372 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.552 -0.59 -0.575 -0.494 -0.342 -0.354 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.418 -0.426 -0.43 -0.371 -0.2 -0.196 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.268 -0.298 -0.284 -0.279 -0.077 -0.121 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00262 HG00262 -0.299 -0.306 -0.227 -0.185 -0.603 -0.473 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.042 -0.042 0.016 0.023 -0.446 -0.5 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.432 0.43 0.431 0.385 -0.072 -0.435 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.766 0.754 0.723 0.583 0.215 -0.357 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00263 HG00263 0.502 0.457 0.413 0.373 0.548 0.354 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.601 0.572 0.511 0.385 0.416 0.199 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.585 0.544 0.553 0.52 0.304 -0.127 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.538 0.482 0.485 0.507 0.251 -0.195 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00264 HG00264 0.309 0.383 0.18 -0.051 -0.26 -0.187 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.261 0.285 0.112 -0.152 -0.308 -0.219 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.263 -0.263 -0.324 -0.426 -0.669 -0.297 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.679 -0.68 -0.721 -0.734 -0.911 -0.394 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00265 HG00265 -0.914 -0.873 -0.911 -0.785 -0.66 -0.848 -0.556 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.772 -0.7 -0.737 -0.666 -0.583 -0.836 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.265 -0.173 -0.19 -0.261 -0.372 -0.694 -0.564 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.031 0.049 0.086 0.052 -0.191 -0.639 -0.564 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00266 HG00266 0.497 0.455 0.373 0.161 0.132 0.278 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.449 0.398 0.32 0.176 0.1 0.23 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.642 0.609 0.502 0.404 0.253 0.326 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.766 0.708 0.584 0.454 0.335 0.386 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00267 HG00267 1.639 1.639 1.63 1.651 1.325 1.019 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.599 1.553 1.565 1.672 1.355 1.067 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.19 1.227 1.273 1.347 1.173 1.157 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.99 0.978 0.972 0.932 0.961 1.168 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00268 HG00268 -1.661 -1.728 -1.895 -1.902 -1.547 -0.873 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.539 -1.576 -1.647 -1.679 -1.54 -0.793 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.303 -1.327 -1.324 -1.342 -1.32 -0.715 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.221 -1.2 -1.22 -1.224 -1.306 -0.635 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00269 HG00269 -1.263 -1.32 -1.466 -1.492 -1.414 -1.553 -2.067 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.365 -1.373 -1.419 -1.419 -1.3 -1.402 -2.076 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.432 -1.458 -1.448 -1.444 -1.182 -1.183 -2.084 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.472 -1.502 -1.505 -1.449 -1.284 -1.1 -2.085 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00271 HG00271 0.736 0.851 0.775 0.552 0.264 -0.454 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.248 0.341 0.373 0.494 0.321 -0.409 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.423 -0.338 -0.247 -0.024 0.177 -0.341 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.585 -0.552 -0.484 -0.289 0.02 -0.372 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00272 HG00272 -2.587 -2.542 -2.387 -2.278 -1.788 -1.602 -0.648 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.395 -2.465 -2.429 -2.427 -2.133 -1.756 -0.582 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.252 -2.338 -2.484 -2.613 -2.55 -2.171 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.305 -2.353 -2.458 -2.551 -2.675 -2.288 -0.473 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00273 HG00273 -0.338 -0.381 -0.497 -0.417 0.132 0.513 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.369 -0.398 -0.358 -0.239 0.122 0.499 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.133 0.164 0.204 0.304 0.371 0.654 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.462 0.474 0.45 0.447 0.459 0.718 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00274 HG00274 1.074 1.166 1.142 0.85 0.827 1.129 0.874 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.464 1.425 1.29 1.063 0.904 1.088 0.894 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.712 1.574 1.456 1.339 1.167 1.028 0.918 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.653 1.543 1.443 1.348 1.232 1.067 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00275 HG00275 0.318 0.217 0.266 0.652 1.151 1.246 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.194 0.124 0.209 0.576 1.033 1.141 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.01 -0.069 -0.056 0.143 0.689 0.925 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.348 -0.37 -0.349 -0.148 0.308 0.883 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00276 HG00276 0.445 0.25 -0.015 -0.144 -0.592 -0.8 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.367 0.187 -0.007 -0.067 -0.35 -0.764 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.251 0.198 0.124 0.03 -0.213 -0.567 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.16 0.149 0.112 -0.055 -0.168 -0.531 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00277 HG00277 -1.069 -1.186 -1.381 -1.453 -1.601 -1.413 -1.149 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.925 -0.943 -1.056 -1.293 -1.575 -1.431 -1.096 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.893 -0.799 -0.768 -0.913 -1.308 -1.343 -1.023 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.774 -0.748 -0.7 -0.749 -1.005 -1.288 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00278 HG00278 -1.116 -1.215 -1.23 -1.268 -1.491 -1.185 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.353 -1.432 -1.532 -1.534 -1.539 -1.282 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.496 -1.52 -1.505 -1.447 -1.408 -1.275 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.407 -1.384 -1.307 -1.225 -1.213 -1.264 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00280 HG00280 -0.533 -0.347 -0.101 0.041 -0.003 -0.15 -0.408 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.343 -0.138 0.049 0.168 0.12 -0.21 -0.411 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.051 0.113 0.289 0.395 0.342 -0.174 -0.411 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.283 0.355 0.437 0.554 0.551 -0.185 -0.411 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00281 HG00281 -0.083 -0.153 -0.324 -0.54 -0.698 -1.188 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.139 -0.199 -0.433 -0.703 -0.841 -1.244 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.527 -0.608 -0.818 -1.117 -1.309 -1.338 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.978 -0.995 -1.141 -1.332 -1.556 -1.383 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00282 HG00282 0.544 0.455 0.36 0.403 0.881 1.8 2.886 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.555 0.455 0.428 0.529 0.854 1.636 2.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.559 0.594 0.622 0.738 0.91 1.212 2.966 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.741 0.796 0.818 0.882 1.049 1.048 2.977 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00284 HG00284 0.057 0.174 0.188 0.32 0.54 0.888 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.09 -0.066 -0.006 0.14 0.251 0.63 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.183 -0.161 -0.115 0.032 0.096 0.27 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.048 0.008 0.016 0.111 0.187 0.208 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00288 HG00288 0.473 0.557 0.415 0.226 -0.05 -0.536 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.163 0.139 0.087 0.091 -0.059 -0.6 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.041 -0.012 0.028 0.123 0.067 -0.849 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.262 0.236 0.269 0.361 0.277 -0.907 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00290 HG00290 0.743 0.635 0.539 0.568 0.268 -0.244 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.794 0.753 0.795 0.872 0.474 -0.163 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.726 0.812 0.957 1.085 0.743 -0.047 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.721 0.809 0.906 0.983 0.812 -0.006 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00304 HG00304 0.435 0.188 -0.2 -0.464 -0.853 -1.079 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.251 0.02 -0.209 -0.482 -0.915 -1.207 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.361 -0.392 -0.513 -0.693 -0.971 -1.3 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.698 -0.713 -0.815 -0.973 -1.133 -1.267 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00306 HG00306 0.248 0.157 0.194 0.064 -0.286 -0.685 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.438 0.382 0.289 0.075 -0.099 -0.697 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.634 0.554 0.416 0.219 -0.041 -0.537 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.678 0.577 0.426 0.177 0.054 -0.51 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00308 HG00308 0.112 -0.02 -0.011 0.156 0.493 0.671 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.168 0.136 0.142 0.212 0.481 0.66 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.232 0.273 0.336 0.359 0.402 0.562 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.069 0.094 0.181 0.268 0.38 0.528 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00309 HG00309 1.591 1.54 1.592 1.5 1.418 1.236 0.874 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.66 1.653 1.578 1.502 1.452 1.184 0.894 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.717 1.682 1.576 1.429 1.241 1.177 0.918 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.677 1.591 1.442 1.253 1.062 1.12 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00310 HG00310 1.779 1.888 1.892 1.796 1.71 2.111 2.237 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.524 1.665 1.652 1.664 1.708 2.167 2.258 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.998 0.989 0.953 0.972 1.3 2.146 2.285 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.646 0.615 0.599 0.63 0.936 2.061 2.292 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00311 HG00311 -0.636 -0.486 -0.733 -0.732 -0.898 -0.963 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.535 -0.442 -0.445 -0.515 -0.817 -1.043 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.593 -0.516 -0.41 -0.274 -0.455 -1.052 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.777 -0.728 -0.611 -0.43 -0.385 -0.988 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00313 HG00313 0.103 0.289 0.448 0.472 0.729 0.401 -0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.278 0.4 0.473 0.541 0.878 0.433 -0.621 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.814 0.829 0.805 0.78 0.995 0.679 -0.601 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.037 0.99 0.933 0.881 1.014 0.733 -0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00315 HG00315 0.417 0.348 0.276 0.057 0.106 0.23 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.32 0.333 0.346 0.181 0.238 0.243 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.418 0.475 0.534 0.603 0.508 0.336 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.38 0.398 0.475 0.625 0.625 0.389 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00318 HG00318 -1.73 -1.575 -1.613 -1.58 -1.366 -0.584 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.415 -1.353 -1.421 -1.5 -1.309 -0.618 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.014 -0.949 -0.969 -1.135 -1.026 -0.65 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.736 -0.676 -0.716 -0.863 -0.742 -0.633 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00319 HG00319 0.811 0.775 0.816 1.114 1.65 2.338 3.399 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.551 0.617 0.722 1.048 1.625 2.471 3.396 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.081 0.152 0.242 0.536 1.267 2.459 3.387 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.308 -0.178 -0.039 0.229 0.853 2.426 3.384 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00320 HG00320 0.931 0.947 0.857 0.498 0.249 0.447 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.8 0.761 0.608 0.289 0.098 0.401 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.772 0.688 0.61 0.366 0.011 0.185 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.832 0.731 0.597 0.444 0.075 0.126 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00321 HG00321 -0.196 -0.291 -0.373 -0.591 -0.669 -0.689 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.285 -0.398 -0.515 -0.638 -0.632 -0.641 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.26 -0.317 -0.4 -0.362 -0.368 -0.583 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.064 0.022 -0.058 -0.047 -0.075 -0.515 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00323 HG00323 -1.544 -1.439 -1.211 -1.118 -0.975 -0.421 -0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.597 -1.537 -1.343 -1.211 -1.05 -0.394 -0.621 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.4 -1.415 -1.327 -1.227 -1.138 -0.399 -0.601 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.106 -1.124 -1.155 -1.186 -1.08 -0.379 -0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00324 HG00324 -1.43 -1.198 -1.107 -0.862 -0.537 -0.539 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.329 -1.216 -1.023 -0.745 -0.611 -0.531 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.11 -1.025 -0.842 -0.611 -0.615 -0.605 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.004 -0.965 -0.864 -0.659 -0.676 -0.588 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00325 HG00325 -1.295 -1.224 -1.374 -1.627 -1.691 -1.759 -1.919 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.498 -1.489 -1.47 -1.504 -1.482 -1.737 -1.926 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.149 -1.186 -1.218 -1.231 -1.123 -1.554 -1.931 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.982 -0.986 -0.977 -0.94 -1.025 -1.452 -1.932 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00326 HG00326 0.282 0.142 -0.018 -0.034 -0.243 -1.09 -1.919 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.234 0.178 0.168 0.227 0.069 -0.822 -1.926 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.298 0.372 0.426 0.466 0.585 -0.415 -1.931 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.351 0.446 0.53 0.578 0.72 -0.233 -1.932 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00327 HG00327 1.157 0.898 0.768 0.684 0.298 -0.362 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.08 0.963 0.901 0.843 0.486 -0.35 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.853 0.839 0.874 0.905 0.761 -0.267 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.753 0.812 0.819 0.864 0.831 -0.232 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00328 HG00328 1.26 1.233 1.31 1.223 0.818 0.495 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.265 1.312 1.317 1.341 1.004 0.575 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.353 1.371 1.389 1.437 1.369 0.788 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.436 1.477 1.515 1.601 1.515 0.89 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00329 HG00329 -0.242 -0.169 -0.172 -0.277 -0.478 -0.337 -0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.242 -0.227 -0.272 -0.36 -0.609 -0.474 -0.621 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.176 -0.159 -0.144 -0.195 -0.525 -0.729 -0.601 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.035 0.004 0.06 0.143 -0.232 -0.769 -0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00330 HG00330 -2.441 -2.422 -2.289 -2.148 -1.87 -1.714 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.613 -2.517 -2.3 -2.061 -1.931 -1.73 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.191 -2.065 -1.84 -1.576 -1.532 -1.893 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.539 -1.494 -1.364 -1.178 -1.191 -1.867 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00331 HG00331 -0.118 -0.216 -0.351 -0.604 -0.592 -0.64 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.301 -0.326 -0.437 -0.612 -0.56 -0.665 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.504 -0.493 -0.491 -0.518 -0.461 -0.61 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.487 -0.458 -0.398 -0.371 -0.389 -0.571 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00332 HG00332 0.339 0.192 -0.011 -0.312 -0.315 -0.068 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.374 0.262 0.06 -0.283 -0.184 -0.017 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.428 0.333 0.242 0.074 -0.036 0.177 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.298 0.275 0.254 0.111 0.043 0.238 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00334 HG00334 -0.135 -0.105 -0.004 0.005 0.071 -0.489 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.134 -0.156 -0.086 -0.048 0.083 -0.382 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.293 -0.3 -0.331 -0.272 -0.042 -0.216 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.298 -0.337 -0.413 -0.403 -0.095 -0.213 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00335 HG00335 0.212 0.139 0 -0.209 -0.412 -0.271 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.399 0.236 0.127 -0.15 -0.372 -0.274 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.482 0.339 0.223 0.102 -0.257 -0.383 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.407 0.234 0.051 -0.017 -0.227 -0.382 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00336 HG00336 -0.908 -0.839 -0.916 -1.274 -1.674 -1.77 -1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.016 -1.063 -1.179 -1.387 -1.647 -1.849 -1.246 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.212 -1.271 -1.377 -1.512 -1.852 -1.749 -1.175 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.145 -1.218 -1.327 -1.479 -1.843 -1.792 -1.157 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00337 HG00337 1.785 1.708 1.584 1.223 0.773 0.366 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.87 1.798 1.622 1.313 0.936 0.508 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.486 1.476 1.385 1.359 1.169 0.806 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.164 1.172 1.171 1.198 1.233 0.885 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00338 HG00338 -1.066 -0.653 -0.328 -0.006 0.055 -0.225 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.767 -0.464 -0.182 0.145 0.071 -0.157 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.553 -0.398 -0.156 0.081 0.221 -0.159 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.472 -0.295 -0.055 0.172 0.296 -0.098 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00339 HG00339 1.039 0.991 0.967 0.892 0.571 0.559 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.949 0.847 0.781 0.716 0.389 0.421 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.759 0.74 0.665 0.483 0.137 0.132 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.654 0.621 0.573 0.458 0.11 0.023 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00341 HG00341 -1.191 -1.061 -0.947 -1.025 -1.263 -1.763 -2.067 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.092 -1.025 -0.93 -0.976 -1.246 -1.806 -2.076 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.703 -0.648 -0.581 -0.605 -0.888 -1.654 -2.084 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.387 -0.28 -0.225 -0.201 -0.587 -1.582 -2.085 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00342 HG00342 0.096 0.099 0.013 -0.235 -0.211 0.54 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.043 0.066 0.012 -0.178 -0.245 0.507 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.393 -0.367 -0.316 -0.262 -0.353 0.327 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.614 -0.574 -0.462 -0.364 -0.421 0.272 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00343 HG00343 0.464 0.531 0.459 0.582 0.673 0.449 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.559 0.617 0.596 0.629 0.726 0.399 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.838 0.82 0.855 0.904 0.993 0.478 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.001 0.972 0.972 1.021 1.121 0.566 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00344 HG00344 -0.109 -0.087 0.084 0.389 0.88 1.363 1.524 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.305 -0.232 -0.032 0.335 0.728 1.253 1.557 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.272 -0.139 0.067 0.347 0.648 1.111 1.599 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.032 0.078 0.248 0.505 0.71 1.094 1.609 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00345 HG00345 0.034 0.316 0.499 0.661 0.28 -0.354 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.346 0.591 0.665 0.81 0.316 -0.397 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.307 0.39 0.521 0.74 0.453 -0.523 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.108 0.156 0.293 0.534 0.515 -0.509 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00346 HG00346 0.938 0.561 0.143 -0.046 0.051 0.607 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.732 0.471 0.096 -0.126 -0.114 0.49 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.26 0.133 -0.07 -0.242 -0.363 0.122 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.01 -0.055 -0.125 -0.168 -0.347 -0.012 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00349 HG00349 -1.385 -1.574 -1.783 -1.722 -1.726 -1.93 -1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.44 -1.633 -1.7 -1.666 -1.743 -1.932 -1.246 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.285 -1.321 -1.273 -1.285 -1.672 -1.847 -1.175 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.004 -1.079 -1.159 -1.211 -1.557 -1.811 -1.157 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00350 HG00350 -1.799 -1.973 -2.01 -2.164 -2.211 -2.063 -1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.982 -2.036 -2.066 -2.103 -2.245 -2.227 -1.246 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.029 -2.107 -2.068 -1.926 -2.087 -2.462 -1.175 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.747 -1.858 -1.894 -1.78 -1.904 -2.504 -1.157 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00351 HG00351 -0.345 -0.441 -0.723 -1.069 -0.84 -0.395 -0.648 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.558 -0.681 -0.81 -1.06 -0.864 -0.383 -0.582 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.54 -0.545 -0.571 -0.64 -0.71 -0.378 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.049 -0.084 -0.115 -0.237 -0.481 -0.373 -0.473 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00353 HG00353 -0.558 -0.592 -0.647 -0.867 -0.935 -1.093 -1.446 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.852 -0.906 -0.856 -0.825 -0.806 -1.076 -1.397 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.078 -1.089 -1.078 -1.07 -0.888 -0.923 -1.328 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.961 -0.974 -0.98 -1.021 -1.07 -0.948 -1.311 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00355 HG00355 -1.552 -1.565 -1.49 -1.148 -0.65 -0.31 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.304 -1.345 -1.335 -0.955 -0.608 -0.189 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.929 -0.955 -0.983 -0.844 -0.589 -0.179 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.849 -0.873 -0.892 -0.854 -0.609 -0.165 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00356 HG00356 -0.236 -0.078 -0.132 -0.164 -0.332 0.401 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.381 -0.251 -0.179 -0.208 -0.374 0.452 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.721 -0.649 -0.538 -0.402 -0.483 0.186 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.817 -0.8 -0.696 -0.558 -0.554 0.12 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00357 HG00357 0.627 0.655 0.697 0.67 0.562 0.749 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.723 0.69 0.66 0.499 0.434 0.792 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.693 0.725 0.64 0.428 0.252 0.704 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.554 0.575 0.524 0.345 0.222 0.665 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00358 HG00358 1.653 1.623 1.495 1.401 1.302 1.115 1.011 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.458 1.396 1.246 1.253 1.296 1.201 1.083 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.264 1.113 0.907 0.88 1.063 1.38 1.178 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.021 0.927 0.799 0.763 0.781 1.365 1.202 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00360 HG00360 0.54 0.585 0.831 0.878 0.537 0.105 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.897 0.929 1.043 0.888 0.452 0.059 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.204 1.253 1.269 1.014 0.387 -0.184 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.257 1.218 1.216 1.072 0.507 -0.294 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00362 HG00362 0.12 0.095 -0.053 -0.072 0.036 0.501 0.874 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.07 0.001 -0.058 -0.21 -0.13 0.263 0.894 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.373 -0.424 -0.415 -0.353 -0.326 -0.063 0.918 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.478 -0.537 -0.584 -0.5 -0.376 -0.181 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00364 HG00364 0.84 0.73 0.602 0.499 0.716 0.834 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.701 0.615 0.479 0.351 0.58 0.845 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.581 0.506 0.472 0.429 0.508 0.552 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.805 0.714 0.636 0.655 0.595 0.474 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00365 HG00365 -0.121 -0.314 -0.668 -1.181 -1.31 -0.751 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.416 -0.671 -0.991 -1.526 -1.674 -0.903 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.256 -1.425 -1.66 -1.923 -2.058 -1.257 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.681 -1.81 -1.972 -2.07 -2.225 -1.32 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00366 HG00366 -1.743 -1.769 -1.887 -1.754 -1.886 -1.412 -0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.004 -2.059 -2.057 -1.874 -1.876 -1.416 -0.621 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.909 -1.929 -1.915 -1.826 -1.767 -1.356 -0.601 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.43 -1.482 -1.51 -1.535 -1.518 -1.335 -0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00367 HG00367 -1.227 -1.145 -1.105 -1.283 -1.512 -1.284 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.347 -1.298 -1.246 -1.302 -1.526 -1.357 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.037 -1.068 -1.06 -1.029 -1.324 -1.408 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.665 -0.68 -0.687 -0.757 -1.053 -1.397 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00368 HG00368 1.495 1.522 1.574 1.569 1.694 1.923 1.672 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.606 1.579 1.568 1.525 1.698 1.844 1.708 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.539 1.524 1.523 1.513 1.557 1.752 1.752 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.47 1.443 1.42 1.376 1.479 1.658 1.762 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00369 HG00369 1.27 1.162 1.009 0.933 0.861 0.715 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.098 0.959 0.944 0.933 0.841 0.8 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.431 0.445 0.541 0.662 0.648 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.034 -0.005 0.013 0.143 0.436 0.609 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00371 HG00371 0.19 0.252 0.209 0.272 0.529 0.66 0.013 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.25 0.252 0.23 0.251 0.462 0.687 0.042 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.059 0.018 0.06 0.132 0.323 0.699 0.079 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.112 -0.152 -0.18 -0.015 0.087 0.683 0.088 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00372 HG00372 1.042 0.843 0.787 0.841 1.258 1.181 0.874 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.918 0.757 0.757 0.766 1.189 1.131 0.894 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.848 0.807 0.761 0.767 0.889 1.085 0.918 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.109 0.991 0.804 0.655 0.725 1.019 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00373 HG00373 0.544 0.772 0.858 0.939 0.644 0.461 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.601 0.776 0.938 1.021 0.665 0.426 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.79 0.856 0.984 1.024 0.69 0.456 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.886 0.861 0.84 0.858 0.684 0.473 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00375 HG00375 -0.695 -0.623 -0.648 -0.817 -1.152 -1.627 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.76 -0.749 -0.719 -0.794 -1.051 -1.605 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.556 -0.51 -0.454 -0.465 -0.783 -1.479 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.349 -0.363 -0.38 -0.438 -0.688 -1.394 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00376 HG00376 0.28 0.226 -0.048 -0.376 -0.673 -1.115 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.06 -0.047 -0.17 -0.414 -0.632 -1.088 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.286 -0.353 -0.422 -0.489 -0.751 -0.914 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.579 -0.598 -0.645 -0.731 -0.897 -0.814 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG00379 HG00379 -0.347 -0.328 -0.234 -0.334 -0.664 -0.752 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.665 -0.607 -0.507 -0.388 -0.49 -0.783 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.915 -0.822 -0.685 -0.472 -0.404 -0.666 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.796 -0.703 -0.559 -0.433 -0.297 -0.647 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG00380 HG00380 0.664 0.362 0.134 0 0.128 -0.496 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.649 0.45 0.255 0.158 0.097 -0.469 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.787 0.68 0.527 0.415 0.274 -0.292 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.761 0.71 0.641 0.557 0.381 -0.184 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01503 HG01503 0.875 0.885 0.712 0.377 0.571 0.353 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.03 0.982 0.867 0.617 0.794 0.485 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.408 1.357 1.243 1.088 1.185 0.659 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.536 1.467 1.367 1.287 1.362 0.727 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01504 HG01504 1.58 1.632 1.673 1.572 1.171 0.724 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.223 1.326 1.408 1.321 1.091 0.515 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.011 1.093 1.192 1.164 1.099 0.324 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.835 0.906 1.013 1.09 1.075 0.294 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01518 HG01518 2.537 2.479 2.215 1.865 1.344 0.773 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.579 2.469 2.197 1.719 1.484 0.827 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.167 2.1 1.968 1.693 1.529 1 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.667 1.654 1.591 1.48 1.495 1.05 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01519 HG01519 2.382 2.522 2.62 2.571 2.781 2.851 2.75 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.253 2.363 2.465 2.487 2.772 2.881 2.732 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.863 1.935 2.033 2.184 2.463 2.768 2.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.537 1.594 1.668 1.768 2.142 2.654 2.699 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01521 HG01521 0.225 0.073 -0.117 -0.221 -0.306 -0.559 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.2 -0.206 -0.288 -0.357 -0.325 -0.511 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.981 -0.995 -1.049 -1.062 -0.684 -0.566 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.444 -1.434 -1.509 -1.607 -1.13 -0.569 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01522 HG01522 0.505 0.507 0.525 0.797 0.894 0.548 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.68 0.712 0.738 0.868 0.827 0.56 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.997 1.042 1.105 1.094 0.898 0.599 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.17 1.178 1.151 1.172 1.012 0.639 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01524 HG01524 2.005 2.054 2.164 2.309 2.468 2.727 2.75 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.91 1.979 2.139 2.325 2.583 2.764 2.732 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.89 2.006 2.159 2.445 2.789 2.817 2.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.935 2.029 2.245 2.519 2.865 2.798 2.699 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01530 HG01530 1.762 1.737 1.792 1.733 1.68 1.059 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.59 1.643 1.737 1.761 1.885 1.284 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.262 1.301 1.354 1.427 1.73 1.738 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.926 1.055 1.161 1.177 1.499 1.834 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01531 HG01531 0.48 0.322 0.086 -0.346 -0.68 -0.649 0.065 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.261 0.15 -0.033 -0.38 -0.806 -0.801 0.118 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.14 0.044 -0.078 -0.257 -0.842 -1.094 0.192 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.145 0.033 -0.103 -0.199 -0.741 -1.191 0.21 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01537 HG01537 0.293 0.649 0.952 1.091 1.133 1.596 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.542 0.776 0.976 1.124 1.085 1.491 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.878 0.908 0.98 1.084 1.12 1.119 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.091 1.073 1.028 1.09 1.154 1.022 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01602 HG01602 0.624 0.551 0.473 0.264 -0.041 -0.949 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.521 0.454 0.33 0.166 -0.1 -0.92 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.128 0.086 -0.088 -0.209 -0.378 -0.93 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.242 -0.246 -0.343 -0.466 -0.602 -0.966 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01607 HG01607 1.555 1.672 1.794 1.516 0.711 0.016 0.213 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.74 1.8 1.847 1.547 0.784 -0.188 0.269 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.185 2.174 2.064 1.761 0.969 -0.329 0.344 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.485 2.434 2.302 1.938 1.244 -0.404 0.363 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01613 HG01613 1.615 1.747 1.901 1.991 2.097 2.059 1.388 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.338 1.447 1.596 1.74 2.009 2.062 1.368 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.834 0.909 1.085 1.297 1.765 2.081 1.339 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.587 0.691 0.865 1.153 1.655 2.062 1.332 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01617 HG01617 0.165 -0.016 -0.129 0.013 -0.102 0.039 -0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.257 0.174 0.053 0.079 -0.088 -0.041 -0.621 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.371 0.375 0.352 0.28 0.081 -0.095 -0.601 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.705 0.671 0.625 0.58 0.333 -0.129 -0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01618 HG01618 1.004 1.005 0.857 0.47 0.052 -0.294 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.968 0.97 0.949 0.716 0.274 -0.169 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.045 1.055 1.017 0.995 0.773 0.002 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.043 1.054 1.023 1.065 0.97 0.081 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01619 HG01619 0.513 0.339 0.174 -0.072 0.075 -0.281 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.374 0.242 0.059 -0.143 0.064 -0.181 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.154 -0.21 -0.311 -0.364 -0.169 0.063 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.405 -0.438 -0.487 -0.504 -0.354 0.12 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01620 HG01620 1.364 1.267 1.182 1.108 0.887 0.744 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.387 1.328 1.312 1.151 0.79 0.566 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.285 1.329 1.336 1.306 0.942 0.59 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.133 1.168 1.233 1.254 0.944 0.654 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01623 HG01623 -1.786 -1.613 -1.323 -0.778 -0.032 -0.18 0.065 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.766 -1.573 -1.284 -0.872 -0.237 -0.366 0.118 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.521 -1.465 -1.348 -1.231 -0.814 -0.631 0.192 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.574 -1.541 -1.54 -1.469 -1.212 -0.755 0.21 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01624 HG01624 1.693 1.578 1.483 1.428 1.658 1.971 1.388 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.018 1.871 1.714 1.659 1.836 2.057 1.368 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.208 2.136 1.986 1.935 2.169 2.374 1.339 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.204 2.189 2.14 2.09 2.259 2.485 1.332 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01626 HG01626 1.503 1.32 1.373 1.088 0.575 -0.031 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.534 1.45 1.349 1.09 0.787 -0.041 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.478 1.39 1.29 1.244 0.983 0.01 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.346 1.292 1.234 1.242 1.081 0.018 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-HG01783 HG01783 1.027 1.118 0.892 0.633 0.331 -0.272 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.632 0.696 0.671 0.644 0.38 -0.327 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.538 0.484 0.502 0.583 0.508 -0.421 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.593 0.564 0.549 0.621 0.552 -0.453 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01784 HG01784 0.3 -0.022 -0.203 -0.468 -0.663 -0.51 0.213 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.047 -0.163 -0.307 -0.472 -0.86 -0.767 0.269 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.432 -0.519 -0.604 -0.658 -1.166 -0.941 0.344 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.464 -0.493 -0.551 -0.631 -1.136 -1.014 0.363 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01785 HG01785 0.083 0.077 -0.034 -0.075 -0.014 0.949 1.524 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.003 -0.049 -0.113 -0.254 -0.139 0.848 1.557 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.361 -0.372 -0.407 -0.489 -0.369 0.609 1.599 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.592 -0.617 -0.619 -0.589 -0.428 0.495 1.609 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01786 HG01786 0.261 0.268 0.342 0.053 -0.329 -0.896 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.018 0.044 0.055 -0.094 -0.206 -0.766 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.366 -0.33 -0.256 -0.293 -0.204 -0.515 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.536 -0.502 -0.426 -0.386 -0.27 -0.467 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01789 HG01789 -0.053 -0.065 -0.003 -0.08 -0.099 0.292 0.213 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.105 -0.079 -0.019 -0.071 -0.123 0.12 0.269 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.135 -0.139 -0.122 -0.254 -0.407 -0.208 0.344 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.19 -0.233 -0.228 -0.324 -0.585 -0.368 0.363 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01790 HG01790 0.079 0.209 0.384 0.648 0.95 1.219 0.526 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.437 0.492 0.519 0.584 0.703 1.089 0.517 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.687 0.636 0.583 0.626 0.585 0.822 0.5 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.553 0.546 0.532 0.607 0.582 0.788 0.496 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG01791 HG01791 0.469 0.453 0.58 1.01 1.119 0.983 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.631 0.737 0.927 1.164 1.127 0.912 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.265 1.349 1.506 1.566 1.26 1.013 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.5 1.556 1.632 1.67 1.399 1.09 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02215 HG02215 -0.842 -0.704 -0.604 -0.51 -0.314 -0.037 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.917 -0.841 -0.742 -0.664 -0.438 -0.116 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.246 -1.173 -1.105 -1.096 -0.731 -0.322 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.439 -1.421 -1.395 -1.289 -0.951 -0.434 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02219 HG02219 1.074 0.884 0.677 0.479 0.593 0.925 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.878 0.771 0.61 0.397 0.543 0.992 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.367 0.311 0.261 0.175 0.407 1.015 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.018 -0.049 -0.089 -0.08 0.289 0.994 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02220 HG02220 -0.615 -0.652 -0.627 -0.524 -0.348 -0.522 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.347 -0.357 -0.333 -0.227 0.032 -0.368 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.051 0.05 0.08 0.174 0.491 0.031 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.145 0.144 0.206 0.266 0.627 0.176 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02221 HG02221 1.441 1.508 1.537 1.454 1.507 1.13 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.45 1.443 1.448 1.392 1.453 1.129 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.204 1.246 1.279 1.322 1.318 0.918 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.948 0.992 1.066 1.198 1.283 0.846 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02223 HG02223 0.783 0.826 0.755 0.763 0.683 0.495 0.361 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.484 0.503 0.519 0.661 0.562 0.297 0.419 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.574 0.588 0.631 0.693 0.51 0.009 0.497 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.915 0.918 0.938 0.94 0.69 -0.12 0.517 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02224 HG02224 -0.413 -0.466 -0.363 -0.009 -0.057 -0.467 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.483 -0.478 -0.374 -0.131 -0.225 -0.526 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.404 -0.341 -0.25 -0.348 -0.397 -0.616 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.257 -0.175 -0.107 -0.188 -0.372 -0.613 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02230 HG02230 -0.431 -0.389 -0.178 0.037 0.278 -0.263 -0.556 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.341 -0.21 0.049 0.191 0.36 -0.147 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.037 0.042 0.201 0.273 0.358 0.03 -0.564 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.193 0.275 0.32 0.358 0.32 0.043 -0.564 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02231 HG02231 0.19 0.476 0.782 1.064 1.297 1.193 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.43 0.593 0.911 1.162 1.303 1.405 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.707 0.796 0.938 1.048 1.232 1.612 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.694 0.781 0.853 0.974 1.129 1.667 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02232 HG02232 -0.572 -0.541 -0.448 -0.551 -0.886 -1.027 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.639 -0.616 -0.578 -0.593 -0.751 -0.915 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.523 -0.523 -0.606 -0.778 -0.723 -0.533 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.412 -0.426 -0.498 -0.787 -0.907 -0.386 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02233 HG02233 -0.594 -0.542 -0.683 -1.014 -1.26 -1.431 -2.067 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.523 -0.522 -0.572 -0.843 -1.002 -1.285 -2.076 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.115 -0.155 -0.21 -0.354 -0.523 -1.077 -2.084 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.039 -0.049 -0.112 -0.119 -0.38 -0.98 -2.085 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02234 HG02234 1.29 1.485 1.541 1.234 1.108 0.84 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.346 1.465 1.499 1.302 1.301 1.08 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.397 1.375 1.293 1.156 1.435 1.487 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.357 1.296 1.238 1.141 1.228 1.629 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02235 HG02235 1.26 1.417 1.617 1.708 1.778 1.845 2.237 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.256 1.339 1.473 1.605 1.816 1.998 2.258 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.416 1.434 1.476 1.58 1.859 2.001 2.285 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.419 1.415 1.468 1.637 1.887 1.991 2.292 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02236 HG02236 -1.103 -1.089 -1.087 -0.747 -0.498 -0.4 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.363 -1.302 -1.19 -0.833 -0.701 -0.445 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.378 -1.293 -1.124 -1.013 -0.938 -0.664 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.165 -1.144 -1.103 -1.066 -1.064 -0.73 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02238 HG02238 -0.946 -1.006 -0.875 -0.736 -0.524 -0.583 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.766 -0.649 -0.628 -0.59 -0.375 -0.701 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.021 0.074 0.05 0.078 0.067 -0.54 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.591 0.64 0.671 0.665 0.512 -0.465 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HG02239 HG02239 -0.163 -0.065 0.232 0.588 0.762 0.681 -0.043 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.074 0.105 0.3 0.703 0.89 0.885 -0.087 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.681 0.685 0.77 0.877 1.13 1.152 -0.143 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.031 1.048 1.116 1.14 1.165 1.257 -0.157 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00511 HGDP00511 1.477 1.327 1.295 1.549 1.719 0.967 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.632 1.538 1.55 1.718 1.811 0.935 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.714 1.693 1.721 1.817 1.861 1 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.67 1.676 1.745 1.836 1.862 1.026 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00512 HGDP00512 -0.157 -0.34 -0.427 -0.596 -0.957 -0.935 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.363 -0.479 -0.515 -0.669 -1.067 -0.98 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.92 -0.892 -0.913 -1.04 -1.263 -1.141 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.286 -1.232 -1.216 -1.305 -1.427 -1.21 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00513 HGDP00513 -1.868 -1.852 -1.671 -1.537 -1.046 -0.746 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.776 -1.743 -1.635 -1.505 -0.976 -0.531 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.49 -1.436 -1.392 -1.243 -0.907 -0.356 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.432 -1.389 -1.315 -1.19 -0.894 -0.305 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00514 HGDP00514 -1.7 -1.763 -1.797 -1.624 -1.092 -0.687 -0.5 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.758 -1.803 -1.827 -1.603 -1.083 -0.838 -0.432 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.368 -1.367 -1.355 -1.262 -1.071 -0.81 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.96 -0.926 -0.846 -0.849 -0.901 -0.845 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00515 HGDP00515 -0.762 -0.837 -0.735 -0.724 -0.727 -0.344 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.831 -0.826 -0.742 -0.722 -0.827 -0.372 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.711 -0.651 -0.545 -0.492 -0.716 -0.486 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.622 -0.584 -0.494 -0.364 -0.577 -0.47 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00516 HGDP00516 0.277 0.418 0.532 0.797 1.27 1.251 0.874 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.395 0.517 0.609 0.774 1.163 1.085 0.894 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.928 0.946 1.02 1.025 1.127 0.953 0.918 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.201 1.219 1.235 1.214 1.201 0.898 0.924 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00517 HGDP00517 -1.32 -1.394 -1.608 -1.9 -2.279 -1.664 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.627 -1.679 -1.769 -2.074 -2.386 -1.582 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.24 -2.218 -2.255 -2.466 -2.535 -1.579 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.494 -2.456 -2.453 -2.56 -2.658 -1.575 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00518 HGDP00518 0.054 0.14 0.419 0.82 0.684 0.157 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.468 0.523 0.655 0.846 0.58 0.24 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.252 0.305 0.377 0.459 0.432 0.201 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.017 0.017 0.038 0.141 0.281 0.185 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00519 HGDP00519 -0.892 -0.947 -0.969 -0.953 -0.636 0.33 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.644 -0.694 -0.732 -0.834 -0.699 0.373 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.137 -0.152 -0.15 -0.266 -0.48 0.136 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.164 0.164 0.195 0.161 -0.179 0.091 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00520 HGDP00520 -2.168 -2.125 -2.127 -2.345 -2.252 -1.836 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.045 -2.117 -2.175 -2.333 -2.203 -1.904 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.766 -1.87 -2.059 -2.337 -2.248 -1.85 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.773 -1.811 -1.947 -2.269 -2.327 -1.816 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00522 HGDP00522 1.169 0.897 0.387 -0.244 -0.72 -1.217 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.131 0.873 0.35 -0.227 -0.69 -1.021 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.771 0.605 0.339 -0.011 -0.457 -0.806 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.393 0.335 0.245 0.038 -0.201 -0.699 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00523 HGDP00523 -0.554 -0.807 -0.952 -1.217 -1.428 -1.431 -0.556 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.671 -0.803 -0.942 -1.169 -1.4 -1.62 -0.561 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.108 -1.132 -1.172 -1.302 -1.403 -1.74 -0.564 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.406 -1.406 -1.409 -1.471 -1.523 -1.773 -0.564 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00524 HGDP00524 0.883 0.888 0.865 0.746 0.352 -0.187 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.847 0.839 0.786 0.713 0.403 -0.048 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.971 0.935 0.911 0.656 0.331 0.072 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.012 0.95 0.824 0.558 0.301 0.11 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00525 HGDP00525 -0.364 -0.088 0.26 0.802 1.405 1.87 2.602 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.377 -0.227 0.031 0.593 1.143 1.796 2.582 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.56 -0.509 -0.423 -0.173 0.502 1.624 2.554 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.881 -0.824 -0.736 -0.552 0.027 1.538 2.546 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00527 HGDP00527 -0.848 -1.04 -1.291 -1.493 -1.738 -2.69 -2.58 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.857 -1.004 -1.118 -1.203 -1.542 -2.592 -2.55 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.881 -0.9 -1.019 -1.121 -1.428 -2.328 -2.505 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.948 -0.897 -0.93 -1.071 -1.401 -2.291 -2.493 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00528 HGDP00528 0.675 0.825 0.913 0.991 1.199 0.479 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.02 1.046 1.009 0.931 1.079 0.454 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.185 1.195 1.181 1.127 1.003 0.392 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.043 1.067 1.099 1.121 1.054 0.373 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00529 HGDP00529 1.77 1.911 2.018 2.027 2.369 2.57 2.75 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.511 1.569 1.679 1.881 2.285 2.509 2.732 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.398 1.474 1.497 1.611 2.008 2.305 2.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.251 1.301 1.374 1.453 1.833 2.205 2.699 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00531 HGDP00531 -0.826 -0.757 -0.794 -0.88 -0.679 -0.907 -1.149 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.746 -0.722 -0.838 -0.859 -0.612 -0.967 -1.096 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.239 -0.267 -0.361 -0.433 -0.493 -0.859 -1.023 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.302 0.276 0.206 0.074 -0.118 -0.887 -1.004 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00534 HGDP00534 0.421 0.307 0.442 0.314 0.029 -0.435 -0.135 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.303 0.33 0.408 0.319 0.133 -0.287 -0.108 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.214 0.268 0.319 0.271 0.125 0.025 -0.073 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.399 0.471 0.472 0.345 0.155 0.132 -0.065 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00535 HGDP00535 0.483 0.322 0.262 0.391 -0.004 -0.7 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.491 0.411 0.315 0.331 -0.103 -0.73 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.616 0.509 0.444 0.347 -0.136 -0.885 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.588 0.51 0.395 0.375 -0.015 -0.94 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00536 HGDP00536 1.395 1.486 1.653 1.615 1.771 0.994 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.047 1.18 1.417 1.524 1.758 1.196 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.61 0.771 1.034 1.297 1.619 1.318 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.468 0.586 0.796 1.126 1.522 1.334 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00537 HGDP00537 -1.062 -1.244 -1.494 -1.862 -2.391 -2.633 -2.432 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.978 -1.213 -1.419 -1.829 -2.332 -2.752 -2.4 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.841 -0.978 -1.215 -1.51 -2.018 -2.89 -2.352 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.583 -0.742 -0.968 -1.238 -1.743 -2.908 -2.339 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00538 HGDP00538 0.338 0.242 0.008 -0.15 -0.068 0.245 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.049 -0.163 -0.308 -0.306 -0.055 0.183 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.233 -0.286 -0.415 -0.354 0.052 0.219 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.102 -0.104 -0.125 -0.208 0.156 0.262 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00539 HGDP00539 1.961 2.067 1.936 1.562 0.903 0.157 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.979 2 1.839 1.474 0.903 0.328 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.923 1.867 1.753 1.444 0.962 0.417 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.638 1.597 1.486 1.343 0.937 0.466 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00666 HGDP00666 -0.074 0.029 0.099 0.413 0.933 0.714 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.261 0.338 0.326 0.528 1 0.819 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.466 0.463 0.462 0.599 1.032 0.921 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.418 0.417 0.425 0.569 0.95 0.968 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00667 HGDP00667 -0.347 -0.477 -0.426 -0.463 -0.896 -1.274 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.287 -0.32 -0.309 -0.424 -0.865 -1.293 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.095 0.033 -0.056 -0.204 -0.723 -1.175 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.417 0.329 0.181 -0.104 -0.574 -1.097 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00668 HGDP00668 0.805 0.808 0.685 0.741 0.907 0.874 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.671 0.621 0.507 0.63 0.719 0.77 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.641 0.617 0.555 0.528 0.472 0.552 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.521 0.485 0.5 0.533 0.326 0.462 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00669 HGDP00669 0.832 0.768 0.76 1.054 1.082 0.363 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.726 0.718 0.817 0.931 0.985 0.397 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.622 0.587 0.607 0.697 0.773 0.379 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.355 0.38 0.401 0.502 0.631 0.391 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00670 HGDP00670 0.321 0.052 -0.126 -0.15 -0.406 -0.555 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.186 0.048 -0.064 -0.186 -0.521 -0.454 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.012 -0.055 -0.134 -0.301 -0.71 -0.404 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.351 -0.371 -0.475 -0.546 -0.817 -0.356 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00671 HGDP00671 0.024 -0.199 -0.479 -0.704 -0.839 -0.919 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.077 -0.283 -0.568 -0.828 -0.877 -0.969 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.225 -0.33 -0.527 -0.79 -0.925 -0.992 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.356 -0.428 -0.575 -0.799 -0.912 -1.011 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00672 HGDP00672 -0.382 -0.175 -0.213 -0.16 -0.058 0.463 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.215 -0.141 -0.152 -0.121 -0.055 0.532 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.122 -0.105 -0.132 -0.15 -0.034 0.527 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.328 -0.302 -0.28 -0.221 -0.091 0.51 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00673 HGDP00673 0.103 0.232 0.282 0.328 0.105 -0.349 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.38 0.448 0.379 0.334 0.057 -0.352 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.864 0.864 0.796 0.718 0.303 -0.343 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.29 1.258 1.18 1.049 0.636 -0.282 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00674 HGDP00674 0.097 0.253 0.362 0.555 0.765 0.178 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.153 0.264 0.389 0.661 0.885 0.253 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.565 0.619 0.721 0.977 1.231 0.402 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.843 0.927 1.051 1.235 1.51 0.487 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00794 HGDP00794 -0.918 -0.843 -0.77 -0.523 -0.356 -0.24 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.749 -0.765 -0.714 -0.517 -0.41 -0.329 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.025 -0.03 0.011 0.058 -0.221 -0.376 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.466 0.373 0.319 0.289 -0.066 -0.336 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00797 HGDP00797 0.163 0.291 0.492 0.836 1.308 1.565 1.524 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.48 0.527 0.687 0.958 1.264 1.635 1.557 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.76 0.799 0.911 1.194 1.318 1.717 1.599 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.824 0.872 0.957 1.165 1.336 1.732 1.609 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00799 HGDP00799 1.129 1.206 1.165 1.221 1.258 1.264 1.524 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.109 1.094 1.025 0.968 0.883 1.152 1.557 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.47 0.406 0.375 0.355 0.296 0.81 1.599 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.112 -0.141 -0.14 -0.055 -0.033 0.656 1.609 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00800 HGDP00800 1.562 1.724 1.797 1.73 1.7 1.914 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.658 1.768 1.778 1.722 1.703 2.04 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.866 1.833 1.758 1.657 1.694 2.163 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.828 1.783 1.733 1.631 1.634 2.189 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00802 HGDP00802 0.733 0.667 0.469 0.266 -0.186 0.038 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.87 0.706 0.563 0.294 -0.032 0.118 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.511 0.51 0.493 0.399 0.351 0.236 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.245 0.257 0.27 0.311 0.49 0.284 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00803 HGDP00803 -1.342 -1.306 -1.347 -1.397 -0.951 -0.83 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.548 -1.505 -1.481 -1.388 -0.912 -0.761 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.525 -1.445 -1.379 -1.177 -0.584 -0.671 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.25 -1.197 -1.082 -0.841 -0.352 -0.594 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00804 HGDP00804 -0.726 -0.813 -1.014 -1.267 -1.472 -1.44 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.814 -0.873 -1 -1.1 -1.31 -1.385 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.829 -0.845 -0.917 -0.995 -0.983 -1.092 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.693 -0.683 -0.641 -0.729 -0.685 -1.006 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00805 HGDP00805 0.029 0.166 0.285 0.501 0.545 -0.089 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.093 0.114 0.209 0.381 0.585 -0.002 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.403 0.377 0.454 0.539 0.209 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.699 0.613 0.478 0.428 0.425 0.239 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00807 HGDP00807 -1.881 -1.909 -1.99 -1.568 -1.287 -1.073 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.739 -1.729 -1.673 -1.38 -1.32 -1.227 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.561 -1.451 -1.262 -1.023 -0.985 -1.256 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.28 -1.138 -0.971 -0.763 -0.679 -1.209 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00808 HGDP00808 -0.317 -0.299 -0.335 -0.151 -0.009 -0.11 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.186 -0.148 -0.214 -0.128 -0.078 -0.068 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.11 0.206 0.301 0.233 0.059 -0.02 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.224 0.323 0.422 0.471 0.186 0.03 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00810 HGDP00810 0.212 0.138 -0.017 -0.109 -0.197 -0.791 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.509 0.493 0.386 0.268 0.108 -0.775 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.703 0.716 0.71 0.723 0.6 -0.409 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.697 0.74 0.777 0.81 0.837 -0.261 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00879 HGDP00879 0.906 0.568 0.236 -0.052 -0.876 -1.792 -1.446 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.849 0.551 0.317 0.02 -0.819 -1.785 -1.397 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.52 0.378 0.27 0.083 -0.59 -1.874 -1.328 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.333 0.219 0.108 0.016 -0.452 -1.887 -1.311 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00880 HGDP00880 -0.37 -0.543 -0.699 -0.817 -0.476 0.565 1.724 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.873 -0.979 -1.157 -1.207 -0.685 0.465 1.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.751 -1.824 -1.897 -1.874 -1.269 0.111 1.864 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.086 -2.116 -2.153 -2.129 -1.52 -0.106 1.884 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00881 HGDP00881 -0.495 -0.558 -0.534 -0.475 -0.299 -0.487 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.311 -0.386 -0.447 -0.397 -0.282 -0.54 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.101 -0.127 -0.167 -0.144 -0.158 -0.615 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.07 0.029 0.005 -0.029 -0.081 -0.641 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00882 HGDP00882 1.332 1.254 1.143 1.304 1.064 0.821 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.318 1.232 1.174 1.299 1.089 0.798 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.042 1.038 1.117 1.082 0.915 0.684 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.869 0.902 0.953 0.939 0.85 0.582 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00883 HGDP00883 -0.693 -0.682 -0.672 -0.808 -0.688 -0.139 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.802 -0.813 -0.834 -0.991 -0.915 -0.463 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.848 -0.864 -0.926 -0.933 -0.985 -0.716 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.773 -0.786 -0.82 -0.83 -0.847 -0.751 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00884 HGDP00884 0.439 0.495 0.545 0.527 0.7 0.863 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.607 0.606 0.57 0.434 0.526 0.764 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.83 0.814 0.78 0.692 0.498 0.759 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.959 0.957 0.92 0.839 0.661 0.761 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00885 HGDP00885 -0.363 -0.573 -0.57 -0.846 -1.374 -1.258 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.211 -0.331 -0.388 -0.751 -1.268 -1.21 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.211 -0.225 -0.301 -0.596 -0.946 -1.182 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.096 -0.125 -0.176 -0.413 -0.711 -1.122 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00886 HGDP00886 -1.747 -1.659 -1.513 -1.139 -1.216 -1.048 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.624 -1.501 -1.375 -1.099 -1.098 -0.931 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.196 -1.105 -1.016 -0.948 -0.885 -0.537 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.986 -0.94 -0.858 -0.887 -0.863 -0.402 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00888 HGDP00888 0.678 0.771 0.735 0.755 0.745 0.861 1.889 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.629 0.652 0.656 0.602 0.6 0.808 1.881 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.441 0.489 0.491 0.43 0.333 0.602 1.867 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.231 0.242 0.272 0.221 0.115 0.546 1.863 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00889 HGDP00889 0.627 0.731 0.693 0.598 0.702 -0.007 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.588 0.688 0.726 0.69 0.681 -0.033 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.822 0.864 0.88 0.89 0.735 -0.008 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.977 0.956 0.869 0.806 0.748 0.006 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00890 HGDP00890 0.574 0.613 0.553 0.483 0.117 -0.578 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.8 0.842 0.723 0.65 0.197 -0.595 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.131 1.144 1.135 0.985 0.442 -0.535 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.145 1.17 1.196 1.142 0.648 -0.516 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00891 HGDP00891 0.955 0.868 0.669 0.386 0.544 0.681 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.552 0.393 0.244 0.219 0.532 0.776 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.115 0.022 -0.145 -0.091 0.434 0.857 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.193 0.103 0.033 0.026 0.429 0.839 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00892 HGDP00892 1.295 1.304 1.235 1.159 1.482 1.844 0.675 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.524 1.442 1.386 1.276 1.397 1.749 0.667 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.777 1.661 1.564 1.491 1.525 1.784 0.653 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.841 1.763 1.712 1.68 1.558 1.845 0.649 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00893 HGDP00893 -0.949 -1.054 -1.193 -1.476 -1.711 -2.019 -2.067 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.037 -1.075 -1.198 -1.47 -1.757 -2.015 -2.076 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.044 -1.126 -1.241 -1.412 -1.661 -1.858 -2.084 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.925 -1.032 -1.232 -1.448 -1.713 -1.754 -2.085 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00894 HGDP00894 -0.52 -0.518 -0.421 -0.374 -0.129 -0.168 -0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.556 -0.587 -0.501 -0.387 -0.114 -0.121 -0.621 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.501 -0.487 -0.453 -0.313 -0.091 -0.034 -0.601 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.355 -0.365 -0.312 -0.182 0.01 -0.051 -0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00895 HGDP00895 -0.347 -0.391 -0.179 0.113 0.431 0.548 0.526 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.22 -0.224 -0.137 0.054 0.394 0.586 0.517 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.096 -0.091 -0.066 0.019 0.396 0.562 0.5 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.009 -0.066 -0.052 0.037 0.365 0.585 0.496 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00896 HGDP00896 -0.815 -0.613 -0.383 -0.135 0.1 0.288 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.893 -0.801 -0.58 -0.306 -0.074 0.1 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.07 -0.98 -0.84 -0.6 -0.25 -0.076 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.039 -0.977 -0.872 -0.668 -0.278 -0.146 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00897 HGDP00897 -0.737 -0.609 -0.551 -0.591 -0.702 -0.224 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.576 -0.497 -0.432 -0.581 -0.738 -0.204 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.551 -0.507 -0.538 -0.687 -0.963 -0.303 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.838 -0.816 -0.831 -0.962 -1.13 -0.336 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00898 HGDP00898 0.514 0.41 0.252 0.001 -0.3 -0.093 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.654 0.546 0.403 0.182 -0.144 0.011 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.755 0.717 0.55 0.387 0.153 0.166 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.942 0.902 0.739 0.471 0.346 0.237 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00899 HGDP00899 0.16 0.115 0.268 0.573 0.629 0.64 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.334 0.246 0.322 0.562 0.645 0.661 0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.348 0.331 0.347 0.474 0.555 0.676 0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.23 0.208 0.241 0.286 0.513 0.63 0.242 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00900 HGDP00900 -1.012 -1.207 -1.482 -2.02 -2.213 -1.613 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.471 -1.599 -1.796 -2.267 -2.42 -1.795 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.131 -2.21 -2.362 -2.665 -2.758 -1.906 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.284 -2.316 -2.429 -2.787 -2.989 -1.927 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00901 HGDP00901 -1.289 -1.435 -1.63 -1.738 -1.236 -0.494 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.163 -1.285 -1.508 -1.629 -1.148 -0.572 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.681 -0.799 -0.97 -1.136 -1.049 -0.572 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.48 -0.592 -0.715 -0.864 -0.859 -0.578 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00902 HGDP00902 -0.653 -0.686 -0.684 -0.894 -1.1 -0.984 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.618 -0.704 -0.744 -1.001 -1.184 -1.072 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.969 -1.048 -1.112 -1.212 -1.323 -1.099 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.265 -1.382 -1.526 -1.544 -1.486 -1.114 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01062 HGDP01062 -0.132 -0.365 -0.56 -0.606 -1.073 -1.639 -1.446 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.232 -0.292 -0.326 -0.285 -0.78 -1.589 -1.397 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.514 -0.419 -0.315 -0.281 -0.613 -1.527 -1.328 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.725 -0.63 -0.475 -0.402 -0.633 -1.56 -1.311 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01063 HGDP01063 0.556 0.336 0.082 -0.218 -0.472 -0.391 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.452 0.265 -0.003 -0.351 -0.577 -0.363 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.21 -0.356 -0.581 -0.852 -0.89 -0.473 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.034 -1.101 -1.218 -1.328 -1.227 -0.484 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01064 HGDP01064 0.173 0.19 -0.022 -0.272 -0.593 -1.166 -1.554 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.196 0.151 0.044 -0.156 -0.308 -1.081 -1.602 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.43 0.38 0.24 0.072 0.016 -0.63 -1.663 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.475 0.408 0.251 0.023 0.034 -0.453 -1.678 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01065 HGDP01065 1.672 1.576 1.366 1.154 0.944 0.801 0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.58 1.498 1.262 0.98 0.898 0.886 0.366 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.999 0.905 0.753 0.685 0.764 0.977 0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.476 0.456 0.39 0.363 0.565 1.016 0.343 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01066 HGDP01066 0.872 0.936 0.934 1.082 1.34 1.218 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.816 0.833 0.902 1.09 1.395 1.305 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.704 0.699 0.74 0.923 1.352 1.521 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.585 0.628 0.68 0.834 1.18 1.581 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01067 HGDP01067 -0.468 -0.42 -0.319 -0.211 -0.158 -0.131 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.257 -0.231 -0.228 -0.231 -0.18 -0.079 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.417 -0.421 -0.458 -0.55 -0.495 -0.072 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.881 -0.9 -0.934 -0.959 -0.837 -0.127 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01068 HGDP01068 -0.192 0.131 0.372 0.9 1.177 0.592 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.007 0.27 0.431 0.827 1.109 0.646 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.5 0.627 0.771 0.943 1.09 0.856 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.668 0.779 0.895 1.021 1.128 0.926 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01069 HGDP01069 -0.277 -0.372 -0.285 -0.177 -0.162 0.019 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.173 -0.211 -0.26 -0.227 -0.27 -0.046 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.168 0.161 0.157 0.047 -0.156 -0.205 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.348 0.35 0.397 0.315 0.003 -0.202 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01070 HGDP01070 0.618 0.543 0.347 0.132 -0.095 0.347 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.319 0.249 0.097 -0.087 -0.264 0.34 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.768 -0.816 -0.856 -0.925 -0.876 0.126 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.527 -1.527 -1.552 -1.56 -1.432 0.033 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01071 HGDP01071 0.686 0.732 0.575 0.543 0.292 -0.774 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.999 1.024 0.949 0.813 0.569 -0.649 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.188 1.233 1.189 1.094 0.759 -0.326 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.064 1.106 1.099 0.977 0.723 -0.269 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01072 HGDP01072 -1.177 -1.297 -1.431 -1.348 -1.277 -0.962 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.154 -1.239 -1.367 -1.342 -1.29 -0.94 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.249 -1.298 -1.389 -1.466 -1.47 -0.758 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.34 -1.326 -1.377 -1.481 -1.524 -0.745 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01073 HGDP01073 -0.581 -0.671 -0.765 -0.895 -0.8 -0.712 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.617 -0.676 -0.795 -0.92 -0.732 -0.701 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.784 -0.767 -0.769 -0.873 -0.704 -0.638 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.941 -0.824 -0.765 -0.775 -0.651 -0.663 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01074 HGDP01074 -0.395 -0.32 -0.403 -0.304 -0.255 -0.294 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.293 -0.16 -0.257 -0.244 -0.161 -0.254 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.263 -0.227 -0.173 -0.189 -0.169 -0.283 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.553 -0.529 -0.462 -0.356 -0.358 -0.275 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01075 HGDP01075 1.21 1.089 0.96 0.816 0.711 0.521 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.17 1.15 1.082 0.944 0.845 0.482 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.466 1.373 1.26 1.218 1.177 0.636 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.805 1.728 1.603 1.46 1.382 0.732 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01077 HGDP01077 0.911 0.922 0.837 0.638 0.107 -0.43 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.813 0.789 0.753 0.705 0.202 -0.395 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.605 0.598 0.612 0.67 0.384 -0.288 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.442 0.43 0.438 0.514 0.366 -0.221 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01149 HGDP01149 1.137 1.264 1.279 1.107 0.974 0.704 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.469 1.514 1.499 1.3 1.101 0.803 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.706 1.709 1.649 1.502 1.271 0.927 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.662 1.676 1.674 1.627 1.407 0.992 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01151 HGDP01151 1.93 1.852 1.764 1.51 1.266 1.242 0.162 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.104 1.992 1.901 1.623 1.273 1.174 0.193 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.986 1.913 1.846 1.773 1.441 1.13 0.232 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.775 1.748 1.742 1.709 1.504 1.157 0.242 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01152 HGDP01152 -0.521 -0.472 -0.328 -0.061 0.167 0.848 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.288 -0.33 -0.291 -0.213 -0.128 0.759 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.144 -0.227 -0.298 -0.355 -0.388 0.462 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.061 -0.068 -0.254 -0.378 -0.416 0.391 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01155 HGDP01155 -0.523 -0.524 -0.644 -0.909 -1.321 -1.371 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.618 -0.665 -0.763 -0.91 -1.419 -1.427 -0.221 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.814 -0.806 -0.83 -0.939 -1.359 -1.532 -0.152 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.602 -0.657 -0.771 -0.924 -1.318 -1.555 -0.134 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01156 HGDP01156 0.568 0.679 0.922 1.129 1.396 1.332 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.454 0.595 0.731 0.982 1.342 1.484 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.458 0.518 0.561 0.63 1.071 1.752 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.506 0.541 0.568 0.553 0.798 1.768 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01161 HGDP01161 -1.337 -1.532 -1.675 -1.971 -2.137 -2.141 -1.446 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.393 -1.585 -1.77 -1.981 -2.029 -2.194 -1.397 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.381 -1.575 -1.861 -2.103 -2.181 -2.088 -1.328 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.499 -1.586 -1.744 -2.055 -2.2 -2.1 -1.311 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01162 HGDP01162 1.54 1.384 1.271 1.302 0.786 0.009 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.656 1.486 1.413 1.372 0.798 0.112 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.483 1.45 1.467 1.401 0.868 0.269 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.007 1.027 1.08 1.117 0.804 0.319 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01164 HGDP01164 0.869 1.197 1.458 1.573 1.219 0.877 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.067 1.301 1.543 1.618 1.301 0.855 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.226 1.401 1.579 1.666 1.434 0.939 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.148 1.248 1.361 1.504 1.476 0.982 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01166 HGDP01166 -1.034 -0.859 -0.419 0.095 0.354 0.359 0.105 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.683 -0.496 -0.001 0.463 0.595 0.432 0.064 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.138 0.011 0.347 0.719 0.935 0.558 0.01 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.169 0.257 0.464 0.758 1.045 0.637 -0.003 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01167 HGDP01167 0.799 0.846 0.735 0.557 0.623 0.943 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.621 0.661 0.573 0.426 0.436 0.808 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.546 0.502 0.421 0.44 0.334 0.386 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.508 0.49 0.459 0.508 0.357 0.275 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01169 HGDP01169 -0.191 -0.049 0.195 0.446 0.741 0.495 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.289 0.383 0.49 0.684 0.825 0.575 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.749 0.783 0.828 0.961 0.947 0.764 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.792 0.853 0.959 1.015 1.027 0.861 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01171 HGDP01171 -0.946 -0.873 -0.751 -0.659 -0.474 -0.331 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.782 -0.719 -0.637 -0.619 -0.569 -0.25 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.812 -0.798 -0.765 -0.732 -0.763 -0.25 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.879 -0.846 -0.786 -0.665 -0.811 -0.273 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01173 HGDP01173 0.288 0.105 -0.018 -0.374 -0.673 -0.831 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.031 -0.189 -0.299 -0.405 -0.585 -0.779 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.391 -0.492 -0.543 -0.516 -0.468 -0.625 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.632 -0.693 -0.708 -0.665 -0.542 -0.55 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01174 HGDP01174 1.451 1.46 1.553 1.638 1.503 1.554 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.38 1.322 1.403 1.338 1.245 1.566 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.016 0.914 0.843 0.766 0.892 1.428 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.737 0.634 0.48 0.434 0.636 1.362 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01177 HGDP01177 0.57 0.587 0.959 1.293 1.598 1.831 1.388 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.316 0.447 0.797 1.157 1.448 1.836 1.368 NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0.111 0.385 0.717 1.13 1.811 1.339 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.011 0.035 0.153 0.34 0.886 1.772 1.332 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01357 HGDP01357 0.826 0.921 1.074 1.128 1.295 1.323 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.546 0.664 0.807 0.944 1.256 1.408 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.123 -0.083 0.022 0.227 0.851 1.539 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.306 -0.293 -0.301 -0.258 0.462 1.54 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01358 HGDP01358 -0.174 -0.098 0.15 0.495 0.723 1.465 2.237 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.321 -0.167 0.042 0.357 0.499 1.328 2.258 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.423 -0.363 -0.262 -0.104 0.1 1.029 2.285 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.419 -0.394 -0.382 -0.282 -0.065 0.918 2.292 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01359 HGDP01359 0.856 1 0.924 0.839 0.896 1.916 2.75 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.129 1.164 1.01 0.83 0.787 1.869 2.732 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.148 1.107 1.027 0.902 0.803 1.597 2.706 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.996 0.983 1.012 1.047 0.963 1.522 2.699 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01360 HGDP01360 0.613 0.773 0.869 0.783 0.397 0.868 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.814 0.931 0.942 0.771 0.444 0.909 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.04 1.039 0.938 0.691 0.523 1.116 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.042 1.038 0.972 0.745 0.468 1.202 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01361 HGDP01361 -0.274 -0.218 -0.228 -0.175 0.137 0.543 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.481 -0.357 -0.322 -0.186 0.124 0.538 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.334 -1.25 -1.084 -0.773 -0.098 0.273 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.657 -1.561 -1.436 -1.174 -0.338 0.192 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01362 HGDP01362 -1.551 -1.565 -1.471 -1.419 -1.396 -1.476 -1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.624 -1.669 -1.588 -1.565 -1.525 -1.572 -1.246 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.997 -2.02 -1.944 -1.972 -2.021 -1.575 -1.175 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.025 -2.024 -2.041 -2.088 -2.203 -1.649 -1.157 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01363 HGDP01363 0.235 0.462 0.514 0.693 0.874 1.069 1.239 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.039 0.095 0.289 0.485 0.622 0.983 1.217 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.308 -0.219 -0.048 0.159 0.252 0.892 1.187 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.322 -0.275 -0.226 -0.127 0.09 0.848 1.179 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01366 HGDP01366 -0.635 -0.488 -0.606 -0.688 -0.531 -0.09 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.649 -0.602 -0.684 -0.725 -0.426 -0.126 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.492 -0.512 -0.577 -0.587 -0.436 -0.103 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.576 -0.564 -0.61 -0.577 -0.43 -0.14 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01367 HGDP01367 -0.351 -0.425 -0.228 -0.063 0.331 0.337 0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.459 -0.534 -0.308 -0.118 0.39 0.414 0.366 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.553 -0.578 -0.52 -0.367 0.201 0.689 0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.633 -0.677 -0.68 -0.691 -0.191 0.802 0.343 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01369 HGDP01369 1.378 1.471 1.467 1.436 1.379 0.895 0.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.53 1.577 1.567 1.443 1.342 1.022 0.366 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.271 1.19 1.167 1.145 1.359 1.01 0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.82 0.795 0.797 0.966 1.232 1.055 0.343 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01370 HGDP01370 -0.092 -0.166 -0.21 -0.161 -0.05 0.249 -0.123 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.355 -0.343 -0.372 -0.329 -0.18 0.157 -0.147 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.895 -0.891 -0.827 -0.76 -0.491 0.045 -0.18 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.085 -1.077 -1.057 -1.028 -0.658 0.028 -0.189 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01372 HGDP01372 -0.773 -0.835 -0.699 -0.315 0.393 0.938 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.993 -0.982 -0.826 -0.445 0.233 0.815 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA -1 -1.001 -0.874 -0.618 -0.085 0.639 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.901 -0.89 -0.827 -0.655 -0.269 0.529 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01373 HGDP01373 -0.052 0.029 0.409 0.97 1.158 0.713 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.212 0.381 0.622 1.162 1.345 0.872 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.899 1.012 1.182 1.408 1.575 1.118 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.281 1.333 1.387 1.429 1.58 1.201 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01374 HGDP01374 1.035 0.996 1.112 1.385 1.664 1.309 0.526 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.106 1.195 1.352 1.556 1.716 1.237 0.517 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.458 1.552 1.725 1.749 1.863 1.222 0.5 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.599 1.674 1.744 1.738 1.815 1.251 0.496 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01375 HGDP01375 0.675 0.968 1.256 1.553 1.674 1.574 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.794 1.03 1.249 1.463 1.545 1.588 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.967 0.979 1.066 1.118 1.261 1.578 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.129 1.095 1.088 1.202 1.103 1.533 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01376 HGDP01376 0.413 0.549 0.498 0.313 0.482 0.595 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.401 0.409 0.35 0.281 0.436 0.584 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.091 0.044 0.037 0.109 0.239 0.385 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.305 -0.335 -0.32 -0.154 -0.028 0.29 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01377 HGDP01377 -0.333 -0.716 -1.039 -1.144 -1.51 -2.26 -2.688 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.564 -0.83 -1.051 -1.049 -1.039 -2.026 -2.756 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.569 -0.735 -0.9 -1.06 -0.771 -1.362 -2.84 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.553 -0.692 -0.852 -1.135 -0.915 -1.152 -2.86 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01378 HGDP01378 -0.625 -0.727 -0.833 -1.118 -1.372 -1.325 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.658 -0.7 -0.786 -1.086 -1.21 -1.337 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.711 -0.721 -0.793 -0.983 -0.976 -1.374 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.746 -0.714 -0.733 -0.847 -0.823 -1.391 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01379 HGDP01379 -0.404 -0.436 -0.679 -1.1 -1.315 -0.936 -0.784 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.651 -0.692 -0.843 -1.067 -1.28 -0.935 -0.772 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.475 -0.542 -0.628 -0.691 -1.026 -0.924 -0.754 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.08 -0.179 -0.31 -0.431 -0.791 -0.913 -0.75 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01380 HGDP01380 0.312 0.357 0.397 0.319 0.135 -0.152 -0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.464 0.367 0.265 0.075 -0.335 -0.621 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.656 0.611 0.567 0.523 0.298 -0.632 -0.601 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.071 1.003 0.912 0.773 0.577 -0.66 -0.596 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01381 HGDP01381 1.315 1.23 0.922 0.715 0.629 0.377 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.236 1.14 0.962 0.739 0.582 0.242 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.841 0.799 0.741 0.663 0.465 -0.037 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.484 0.498 0.506 0.523 0.405 -0.141 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01382 HGDP01382 0.078 0.003 -0.085 -0.437 -0.874 -1.454 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.043 0.019 -0.118 -0.277 -0.629 -1.286 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.068 -0.085 -0.126 -0.213 -0.324 -1.017 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.174 -0.143 -0.113 -0.217 -0.269 -0.886 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01384 HGDP01384 -0.657 -0.707 -0.648 -0.689 -0.703 -0.116 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.684 -0.64 -0.604 -0.638 -0.766 -0.154 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.774 -0.704 -0.658 -0.666 -0.83 -0.26 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.826 -0.772 -0.704 -0.752 -0.891 -0.281 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01385 HGDP01385 -0.728 -0.934 -1.153 -1.349 -1.214 -1.305 -1.446 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.933 -1.051 -1.252 -1.426 -1.276 -1.352 -1.397 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.148 -1.188 -1.306 -1.404 -1.404 -1.453 -1.328 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.91 -0.92 -0.961 -1.055 -1.293 -1.525 -1.311 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01386 HGDP01386 -0.658 -0.536 -0.317 0.043 0.256 0.137 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.508 -0.339 -0.255 0.07 0.14 -0.106 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.065 0.004 0.086 0.194 0.26 -0.258 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.432 0.524 0.565 0.555 0.512 -0.239 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01387 HGDP01387 -1.171 -1.125 -1.318 -1.567 -1.751 -1.445 0.065 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.267 -1.314 -1.49 -1.776 -1.963 -1.575 0.118 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.619 -1.65 -1.731 -1.9 -2.22 -1.878 0.192 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.719 -1.788 -1.857 -1.945 -2.298 -1.98 0.21 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01388 HGDP01388 0.351 0.564 0.634 0.957 1.358 1.288 1.091 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.365 0.481 0.639 0.983 1.366 1.188 1.067 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.337 0.437 0.591 0.825 1.308 1.115 1.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.227 0.323 0.443 0.625 1.122 1.079 1.025 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01396 HGDP01396 1.981 1.646 1.283 0.817 0.282 -0.133 0.578 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.85 1.592 1.322 0.855 0.464 -0.024 0.593 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.317 1.191 0.996 0.676 0.418 0.101 0.613 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.722 0.684 0.564 0.314 0.256 0.07 0.618 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01397 HGDP01397 0.063 0.188 0.322 0.131 -0.176 0.092 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.037 0.074 0.14 -0.053 -0.381 -0.085 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.272 -0.299 -0.309 -0.195 -0.297 -0.273 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.358 -0.359 -0.33 -0.185 -0.134 -0.253 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01398 HGDP01398 -0.865 -0.795 -0.677 -0.639 -0.722 -1.3 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.862 -0.819 -0.722 -0.656 -0.704 -1.286 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.53 -0.513 -0.486 -0.52 -0.618 -1.253 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.22 -0.213 -0.245 -0.319 -0.459 -1.256 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01399 HGDP01399 0.701 0.617 0.565 0.425 0.228 0.235 -0.608 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.657 0.667 0.634 0.468 0.388 0.284 -0.637 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.748 0.797 0.733 0.715 0.811 0.433 -0.676 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.873 0.927 0.927 0.888 1.005 0.541 -0.686 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01400 HGDP01400 0.088 0.24 0.324 0.254 0.122 0.13 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.324 0.392 0.437 0.403 0.2 0.038 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.646 0.682 0.661 0.675 0.527 0.141 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.731 0.814 0.871 0.821 0.687 0.224 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01403 HGDP01403 -0.845 -0.492 -0.047 0.251 0.235 -0.006 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.478 -0.21 0.052 0.351 0.419 -0.017 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.332 0.472 0.612 0.732 0.854 0.219 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.599 0.724 0.904 1.034 1.116 0.33 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01404 HGDP01404 -0.764 -0.494 -0.355 -0.142 -0.109 -0.217 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.832 -0.642 -0.581 -0.328 -0.255 -0.143 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.13 -1.109 -1.047 -0.889 -0.609 -0.104 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.44 -1.394 -1.329 -1.146 -0.899 -0.083 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_A01 LP6005441-DNA_A01 -0.198 -0.343 -0.41 -0.568 -0.793 -1.137 -0.933 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.381 -0.479 -0.609 -0.725 -0.946 -1.133 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.076 -1.091 -1.153 -1.197 -1.287 -1.166 -0.907 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.519 -1.488 -1.478 -1.496 -1.494 -1.194 -0.903 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_A05 LP6005441-DNA_A05 0.792 0.915 1.039 1.157 1.011 0.666 -0.271 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.052 1.095 1.158 1.26 1.237 0.75 -0.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.454 1.488 1.456 1.399 1.459 1.073 -0.333 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.734 1.766 1.709 1.505 1.469 1.185 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_A06 LP6005441-DNA_A06 1.889 2.018 2.187 2.174 2.027 1.675 1.103 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.513 1.596 1.765 1.886 1.961 1.649 1.104 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.412 1.518 1.594 1.637 1.907 1.526 1.108 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.64 1.684 1.746 1.828 1.94 1.467 1.11 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_B05 LP6005441-DNA_B05 1.212 1.161 1.15 0.992 0.57 -0.774 -1.297 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.179 1.275 1.343 1.167 0.707 -0.71 -1.246 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.051 1.118 1.157 1.099 0.806 -0.501 -1.175 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.998 1.109 1.151 1.085 0.876 -0.432 -1.157 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-LP6005441-DNA_C02 LP6005441-DNA_C02 0.14 0.249 0.393 0.536 1.01 1.825 1.872 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.101 0.044 0.198 0.263 0.73 1.621 1.934 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.305 -0.244 -0.153 -0.067 0.179 1.212 2.017 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.425 -0.377 -0.332 -0.27 -0.025 1.011 2.038 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_C09 LP6005441-DNA_C09 -0.69 -0.386 -0.238 -0.325 -0.518 -0.664 -0.42 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.443 -0.276 -0.219 -0.353 -0.618 -0.672 -0.448 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.558 -0.546 -0.439 -0.439 -0.691 -0.928 -0.486 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.795 -0.824 -0.786 -0.644 -0.755 -0.975 -0.495 NA NA NA NA NA NA NA NA NA NA NA NA NA
-LP6005441-DNA_C11 LP6005441-DNA_C11 0.398 0.463 0.523 0.431 0.867 0.66 -0.26 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.109 0.222 0.239 0.359 0.855 0.661 -0.26 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.04 0.102 0.115 0.257 0.761 0.719 -0.259 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.081 0.116 0.159 0.262 0.676 0.687 -0.258 NA NA NA NA NA NA NA NA NA NA NA NA NA
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-LP6005441-DNA_H12 LP6005441-DNA_H12 0.644 0.809 0.847 0.682 0.556 0.491 0.726 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.682 0.777 0.798 0.686 0.512 0.443 0.743 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.413 0.426 0.402 0.355 0.245 0.376 0.765 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.031 0.034 0.047 0.039 -0.011 0.292 0.771 NA NA NA NA NA NA NA NA NA NA NA NA NA
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+NA20827 NA20827 -0.865 -0.978 -0.912 -0.859 -0.84 -0.841 -0.424 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.923 -0.973 -0.934 -0.926 -0.915 -0.892 -0.453 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.885 -0.875 -0.835 -0.859 -0.876 -1.067 -0.491 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.816 -0.846 -0.848 -0.784 -0.818 -1.06 -0.501 NA NA NA NA NA NA NA NA NA NA NA NA NA
+NA20828 NA20828 1.058 1.155 1.356 1.429 1.099 0.407 -0.278 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.339 1.401 1.591 1.629 1.166 0.523 -0.304 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.083 1.079 1.099 1.118 0.912 0.773 -0.34 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.853 0.786 0.648 0.501 0.457 0.841 -0.349 NA NA NA NA NA NA NA NA NA NA NA NA NA
+SS6004468 SS6004468 -0.483 -0.512 -0.555 -0.538 -0.745 -1.322 -1.908 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.286 -0.332 -0.395 -0.559 -0.68 -1.311 -1.914 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.043 -0.016 -0.124 -0.313 -0.539 -1.088 -1.919 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.061 -0.082 -0.147 -0.321 -0.442 -0.971 -1.92 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EUR.scale b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EUR.scale
index 149efe62..a5dd0594 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EUR.scale
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-EUR.scale
@@ -1,11 +1,11 @@
 Param Mean SD
-SCORE_s0.2_lambda0.001 0.0353259312781955 0.0104167473330499
-SCORE_s0.2_lambda0.00127427498570313 0.0319768050225564 0.00882349907973428
-SCORE_s0.2_lambda0.00162377673918872 0.0265951569022556 0.00713706385965947
-SCORE_s0.2_lambda0.00206913808111479 0.0184432958947368 0.00534175883973053
-SCORE_s0.2_lambda0.00263665089873036 0.00909741704827068 0.00350887288955337
-SCORE_s0.2_lambda0.00335981828628378 0.00189137112210526 0.00189083419532402
-SCORE_s0.2_lambda0.00428133239871939 0.000317325463609023 0.000756175966658968
+SCORE_s0.2_lambda0.001 0.0354188712481203 0.0103863490473257
+SCORE_s0.2_lambda0.00127427498570313 0.0320148551428571 0.00880462048310024
+SCORE_s0.2_lambda0.00162377673918872 0.0266056590526316 0.0071220843514379
+SCORE_s0.2_lambda0.00206913808111479 0.0185132309774436 0.00532818146073795
+SCORE_s0.2_lambda0.00263665089873036 0.00918158950120301 0.0034975631829908
+SCORE_s0.2_lambda0.00335981828628378 0.00198866398174436 0.00188849272227359
+SCORE_s0.2_lambda0.00428133239871939 0.000324666844360902 0.000765170525996593
 SCORE_s0.2_lambda0.00545559478116852 0 0
 SCORE_s0.2_lambda0.00695192796177561 0 0
 SCORE_s0.2_lambda0.00885866790410083 0 0
@@ -19,13 +19,13 @@ SCORE_s0.2_lambda0.0483293023857176 0 0
 SCORE_s0.2_lambda0.0615848211066027 0 0
 SCORE_s0.2_lambda0.0784759970351462 0 0
 SCORE_s0.2_lambda0.1 0 0
-SCORE_s0.5_lambda0.001 0.0409773067669173 0.0122718179890691
-SCORE_s0.5_lambda0.00127427498570313 0.0358198662706767 0.010486933945207
-SCORE_s0.5_lambda0.00162377673918872 0.0278592490225564 0.00845023392180029
-SCORE_s0.5_lambda0.00206913808111479 0.0203283610421053 0.00627571452414742
-SCORE_s0.5_lambda0.00263665089873036 0.0104118292981955 0.00398526996771495
-SCORE_s0.5_lambda0.00335981828628378 0.00170118258511278 0.00194612756572374
-SCORE_s0.5_lambda0.00428133239871939 0.000333858595639098 0.000745436635924941
+SCORE_s0.5_lambda0.001 0.0410530221654135 0.0122595002566883
+SCORE_s0.5_lambda0.00127427498570313 0.0359274730977444 0.010473925067068
+SCORE_s0.5_lambda0.00162377673918872 0.0279082266466165 0.00843818197094592
+SCORE_s0.5_lambda0.00206913808111479 0.0204218593933835 0.00626099166855207
+SCORE_s0.5_lambda0.00263665089873036 0.0104988234117293 0.00396970386461445
+SCORE_s0.5_lambda0.00335981828628378 0.00179552729759399 0.00193906182186126
+SCORE_s0.5_lambda0.00428133239871939 0.000341515283157895 0.000754353650737937
 SCORE_s0.5_lambda0.00545559478116852 0 0
 SCORE_s0.5_lambda0.00695192796177561 0 0
 SCORE_s0.5_lambda0.00885866790410083 0 0
@@ -39,13 +39,13 @@ SCORE_s0.5_lambda0.0483293023857176 0 0
 SCORE_s0.5_lambda0.0615848211066027 0 0
 SCORE_s0.5_lambda0.0784759970351462 0 0
 SCORE_s0.5_lambda0.1 0 0
-SCORE_s0.9_lambda0.001 0.0874252360601504 0.0252167800984249
-SCORE_s0.9_lambda0.00127427498570313 0.0713223706165414 0.0211778747626317
-SCORE_s0.9_lambda0.00162377673918872 0.0531035758345865 0.0164810325812361
-SCORE_s0.9_lambda0.00206913808111479 0.0348247746917293 0.0112159627933283
-SCORE_s0.9_lambda0.00263665089873036 0.0162046861699248 0.00603878509792498
-SCORE_s0.9_lambda0.00335981828628378 0.00179910333851128 0.00223419753869375
-SCORE_s0.9_lambda0.00428133239871939 0.000356492239699248 0.000733665114283066
+SCORE_s0.9_lambda0.001 0.0875453098947368 0.0252059023070812
+SCORE_s0.9_lambda0.00127427498570313 0.0714372586015038 0.0211663704452179
+SCORE_s0.9_lambda0.00162377673918872 0.0532194437744361 0.0164661948854142
+SCORE_s0.9_lambda0.00206913808111479 0.0349453723458647 0.0111971561053097
+SCORE_s0.9_lambda0.00263665089873036 0.0162901776736842 0.00601719043485139
+SCORE_s0.9_lambda0.00335981828628378 0.00189225793040602 0.00221282859626542
+SCORE_s0.9_lambda0.00428133239871939 0.000364587983157895 0.000742526751522539
 SCORE_s0.9_lambda0.00545559478116852 0 0
 SCORE_s0.9_lambda0.00695192796177561 0 0
 SCORE_s0.9_lambda0.00885866790410083 0 0
@@ -59,13 +59,13 @@ SCORE_s0.9_lambda0.0483293023857176 0 0
 SCORE_s0.9_lambda0.0615848211066027 0 0
 SCORE_s0.9_lambda0.0784759970351462 0 0
 SCORE_s0.9_lambda0.1 0 0
-SCORE_s1_lambda0.001 0.166977663007519 0.0464115714382328
-SCORE_s1_lambda0.00127427498570313 0.131967683413534 0.0379413706873199
-SCORE_s1_lambda0.00162377673918872 0.0956776887969925 0.0284393041984523
-SCORE_s1_lambda0.00206913808111479 0.0593824292631579 0.0178800486506425
-SCORE_s1_lambda0.00263665089873036 0.0239958890887218 0.00816075949229265
-SCORE_s1_lambda0.00335981828628378 0.00188295988369925 0.00243300696545791
-SCORE_s1_lambda0.00428133239871939 0.000362282792481203 0.000731170839076273
+SCORE_s1_lambda0.001 0.167164974285714 0.0464005406676911
+SCORE_s1_lambda0.00127427498570313 0.132132466691729 0.0379234779889415
+SCORE_s1_lambda0.00162377673918872 0.0957991586165414 0.0284200320592647
+SCORE_s1_lambda0.00206913808111479 0.0595022482105263 0.017860809291279
+SCORE_s1_lambda0.00263665089873036 0.0240984424240602 0.00813922742311079
+SCORE_s1_lambda0.00335981828628378 0.00197632005535338 0.00240646698259293
+SCORE_s1_lambda0.00428133239871939 0.000370491608120301 0.000740027338050639
 SCORE_s1_lambda0.00545559478116852 0 0
 SCORE_s1_lambda0.00695192796177561 0 0
 SCORE_s1_lambda0.00885866790410083 0 0
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-MID.profiles b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-MID.profiles
index fa0ccc8a..bf8d129a 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-MID.profiles
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-MID.profiles
@@ -1,137 +1,137 @@
 FID IID SCORE_s0.2_lambda0.001 SCORE_s0.2_lambda0.00127427498570313 SCORE_s0.2_lambda0.00162377673918872 SCORE_s0.2_lambda0.00206913808111479 SCORE_s0.2_lambda0.00263665089873036 SCORE_s0.2_lambda0.00335981828628378 SCORE_s0.2_lambda0.00428133239871939 SCORE_s0.2_lambda0.00545559478116852 SCORE_s0.2_lambda0.00695192796177561 SCORE_s0.2_lambda0.00885866790410083 SCORE_s0.2_lambda0.0112883789168469 SCORE_s0.2_lambda0.0143844988828766 SCORE_s0.2_lambda0.0183298071083244 SCORE_s0.2_lambda0.0233572146909012 SCORE_s0.2_lambda0.0297635144163132 SCORE_s0.2_lambda0.0379269019073225 SCORE_s0.2_lambda0.0483293023857176 SCORE_s0.2_lambda0.0615848211066027 SCORE_s0.2_lambda0.0784759970351462 SCORE_s0.2_lambda0.1 SCORE_s0.5_lambda0.001 SCORE_s0.5_lambda0.00127427498570313 SCORE_s0.5_lambda0.00162377673918872 SCORE_s0.5_lambda0.00206913808111479 SCORE_s0.5_lambda0.00263665089873036 SCORE_s0.5_lambda0.00335981828628378 SCORE_s0.5_lambda0.00428133239871939 SCORE_s0.5_lambda0.00545559478116852 SCORE_s0.5_lambda0.00695192796177561 SCORE_s0.5_lambda0.00885866790410083 SCORE_s0.5_lambda0.0112883789168469 SCORE_s0.5_lambda0.0143844988828766 SCORE_s0.5_lambda0.0183298071083244 SCORE_s0.5_lambda0.0233572146909012 SCORE_s0.5_lambda0.0297635144163132 SCORE_s0.5_lambda0.0379269019073225 SCORE_s0.5_lambda0.0483293023857176 SCORE_s0.5_lambda0.0615848211066027 SCORE_s0.5_lambda0.0784759970351462 SCORE_s0.5_lambda0.1 SCORE_s0.9_lambda0.001 SCORE_s0.9_lambda0.00127427498570313 SCORE_s0.9_lambda0.00162377673918872 SCORE_s0.9_lambda0.00206913808111479 SCORE_s0.9_lambda0.00263665089873036 SCORE_s0.9_lambda0.00335981828628378 SCORE_s0.9_lambda0.00428133239871939 SCORE_s0.9_lambda0.00545559478116852 SCORE_s0.9_lambda0.00695192796177561 SCORE_s0.9_lambda0.00885866790410083 SCORE_s0.9_lambda0.0112883789168469 SCORE_s0.9_lambda0.0143844988828766 SCORE_s0.9_lambda0.0183298071083244 SCORE_s0.9_lambda0.0233572146909012 SCORE_s0.9_lambda0.0297635144163132 SCORE_s0.9_lambda0.0379269019073225 SCORE_s0.9_lambda0.0483293023857176 SCORE_s0.9_lambda0.0615848211066027 SCORE_s0.9_lambda0.0784759970351462 SCORE_s0.9_lambda0.1 SCORE_s1_lambda0.001 SCORE_s1_lambda0.00127427498570313 SCORE_s1_lambda0.00162377673918872 SCORE_s1_lambda0.00206913808111479 SCORE_s1_lambda0.00263665089873036 SCORE_s1_lambda0.00335981828628378 SCORE_s1_lambda0.00428133239871939 SCORE_s1_lambda0.00545559478116852 SCORE_s1_lambda0.00695192796177561 SCORE_s1_lambda0.00885866790410083 SCORE_s1_lambda0.0112883789168469 SCORE_s1_lambda0.0143844988828766 SCORE_s1_lambda0.0183298071083244 SCORE_s1_lambda0.0233572146909012 SCORE_s1_lambda0.0297635144163132 SCORE_s1_lambda0.0379269019073225 SCORE_s1_lambda0.0483293023857176 SCORE_s1_lambda0.0615848211066027 SCORE_s1_lambda0.0784759970351462 SCORE_s1_lambda0.1
-HGDP00557 HGDP00557 0.861 0.725 0.573 0.264 -0.392 -0.864 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.738 0.624 0.503 0.136 -0.465 -0.976 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.503 0.421 0.257 0.06 -0.477 -1.091 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.42 0.329 0.198 0.07 -0.43 -1.1 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00558 HGDP00558 -1.575 -1.682 -1.795 -1.392 -0.623 -0.153 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.359 -1.42 -1.488 -1.126 -0.554 -0.065 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.175 -1.173 -1.16 -0.952 -0.432 0.057 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.036 -1.065 -1.047 -0.888 -0.403 0.109 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00559 HGDP00559 -0.015 -0.021 -0.333 -0.633 -0.534 -0.066 0.757 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.088 0.038 -0.193 -0.591 -0.491 -0.018 0.741 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.032 -0.009 -0.133 -0.257 -0.351 -0.12 0.719 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.135 0.077 -0.016 -0.098 -0.22 -0.123 0.713 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00560 HGDP00560 1.314 1.51 1.604 1.53 1.819 1.817 1.648 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.989 1.194 1.384 1.352 1.687 1.858 1.666 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.525 0.624 0.769 0.935 1.42 1.758 1.689 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.237 0.274 0.404 0.659 1.146 1.671 1.695 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00561 HGDP00561 1.347 1.637 1.837 2.238 2.385 1.586 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.522 1.677 1.867 2.162 2.362 1.591 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.788 1.855 1.963 2.176 2.31 1.491 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.723 1.738 1.778 1.964 2.206 1.458 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00562 HGDP00562 0.18 -0.131 -0.259 -0.391 -0.127 -0.321 -0.701 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.193 -0.019 -0.15 -0.227 -0.058 -0.281 -0.687 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.572 0.434 0.261 0.087 0.114 -0.084 -0.668 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.666 0.603 0.448 0.212 0.183 0.009 -0.664 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00563 HGDP00563 -1.633 -1.45 -1.263 -0.971 -0.168 1.185 1.932 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.89 -1.767 -1.68 -1.505 -0.755 0.83 1.917 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.88 -1.839 -1.951 -1.873 -1.412 0.455 1.897 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.774 -1.83 -1.898 -1.983 -1.642 0.347 1.892 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00564 HGDP00564 1.287 1.109 0.76 0.34 -0.184 -0.554 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.079 0.918 0.719 0.345 -0.121 -0.472 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.674 0.6 0.507 0.476 0.028 -0.438 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.535 0.456 0.361 0.325 0.107 -0.398 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00565 HGDP00565 1.212 1.125 1.127 1.155 1.154 1.321 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.218 1.212 1.252 1.298 1.149 1.356 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.105 1.208 1.305 1.417 1.253 1.255 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.069 1.145 1.256 1.393 1.352 1.228 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00566 HGDP00566 2.422 2.628 2.75 2.683 2.535 2.11 1.932 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.405 2.505 2.604 2.62 2.53 2.237 1.917 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.093 2.131 2.173 2.257 2.328 2.369 1.897 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.755 1.795 1.85 1.872 2.079 2.328 1.892 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00568 HGDP00568 -0.228 -0.127 0.032 0.185 0.243 0.287 0.757 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.309 -0.26 -0.232 -0.038 0.042 0.339 0.741 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.229 -0.205 -0.197 -0.235 -0.366 0.223 0.719 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.006 -0.062 -0.169 -0.294 -0.561 0.169 0.713 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00571 HGDP00571 -1.027 -0.814 -0.698 -0.756 -0.781 -0.528 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.917 -0.801 -0.729 -0.799 -0.829 -0.467 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.751 -0.711 -0.678 -0.614 -0.797 -0.455 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.817 -0.797 -0.748 -0.604 -0.745 -0.415 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00572 HGDP00572 -1.42 -1.217 -1.27 -1.506 -1.492 -0.795 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.846 -0.838 -0.977 -1.399 -1.496 -0.789 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.492 -0.519 -0.693 -0.996 -1.286 -0.956 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.634 -0.656 -0.743 -0.871 -1.163 -0.955 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00573 HGDP00573 -0.352 -0.371 -0.352 -0.25 -0.252 -0.307 0.358 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.382 -0.362 -0.306 -0.167 -0.212 -0.387 0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.037 0.091 0.193 0.183 -0.102 -0.434 0.392 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.43 0.503 0.531 0.484 0.075 -0.433 0.397 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00574 HGDP00574 -0.948 -1.058 -1.006 -1.174 -1.286 -0.956 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.145 -1.2 -1.159 -1.224 -1.346 -0.902 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.538 -1.556 -1.528 -1.471 -1.404 -1.038 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.726 -1.714 -1.645 -1.578 -1.504 -1.043 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00575 HGDP00575 0.653 0.807 0.997 1 1.172 1.261 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.05 1.164 1.231 1.191 1.269 1.272 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.44 1.505 1.492 1.469 1.459 1.343 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.37 1.454 1.516 1.564 1.532 1.4 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00579 HGDP00579 -0.68 -0.591 -0.438 -0.208 0.18 0.022 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.337 -0.264 -0.177 -0.004 0.133 0 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.102 -0.005 0.043 0.154 0.122 -0.057 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.028 -0.01 -0.011 0.099 0.084 -0.066 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00580 HGDP00580 0.479 0.629 0.513 0.381 0.71 1.146 1.249 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.019 0.191 0.195 0.153 0.518 1.011 1.298 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.53 -0.45 -0.397 -0.355 -0.026 0.754 1.363 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.7 -0.727 -0.687 -0.611 -0.375 0.57 1.379 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00582 HGDP00582 0.751 0.949 1.224 1.299 1.331 1.047 0.757 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.885 1.044 1.242 1.288 1.397 1.146 0.741 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.014 1.106 1.177 1.263 1.49 1.257 0.719 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.847 0.925 1.045 1.166 1.396 1.292 0.713 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00584 HGDP00584 0.438 0.56 0.635 0.78 1.078 0.946 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.886 0.96 0.914 0.988 1.142 0.972 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.128 1.149 1.135 1.188 1.181 1.043 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.022 1.045 1.08 1.132 1.215 1.076 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00586 HGDP00586 -0.566 -0.56 -0.482 -0.38 -0.024 -0.202 -0.293 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.622 -0.471 -0.424 -0.339 -0.096 -0.313 -0.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.509 -0.434 -0.341 -0.173 -0.219 -0.309 -0.284 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.417 -0.389 -0.323 -0.226 -0.156 -0.348 -0.282 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00587 HGDP00587 -0.165 -0.409 -0.467 -0.43 -0.891 -1.011 -1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.086 -0.014 -0.154 -0.318 -0.763 -1.085 -1.215 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.543 0.534 0.408 0.105 -0.421 -0.893 -1.254 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.671 0.703 0.645 0.398 -0.113 -0.796 -1.264 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00588 HGDP00588 -0.727 -0.624 -0.497 -0.432 -0.309 -0.305 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.723 -0.67 -0.615 -0.577 -0.573 -0.392 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.922 -0.927 -0.908 -0.864 -0.827 -0.677 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.262 -1.28 -1.261 -1.164 -1.038 -0.728 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00591 HGDP00591 -0.408 -0.476 -0.696 -0.848 -0.866 -0.767 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.256 -0.338 -0.541 -0.89 -0.981 -0.748 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.224 -0.256 -0.396 -0.62 -0.962 -0.865 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.379 -0.401 -0.47 -0.549 -0.878 -0.86 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00595 HGDP00595 -0.666 -0.586 -0.717 -1.168 -1.515 -1.235 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.492 -0.597 -0.783 -1.248 -1.583 -1.243 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.471 -0.626 -0.878 -1.235 -1.611 -1.38 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.776 -0.884 -1.05 -1.251 -1.613 -1.429 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00598 HGDP00598 0.233 0.383 0.371 -0.061 -0.666 -0.6 -1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.552 0.571 0.544 0.189 -0.377 -0.449 -1.215 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.05 1.034 0.92 0.675 0.33 -0.149 -1.254 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.221 1.182 1.073 0.886 0.594 0.004 -1.264 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00599 HGDP00599 2.966 2.94 2.542 1.958 0.988 0.325 0.58 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.791 2.668 2.329 1.804 0.861 0.078 0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.095 1.945 1.737 1.394 0.666 -0.192 0.712 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.478 1.394 1.307 1.155 0.527 -0.301 0.731 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00600 HGDP00600 -0.408 -0.561 -0.913 -0.814 -0.28 0.552 1.533 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.795 -0.887 -1.015 -0.781 -0.335 0.546 1.549 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.34 -1.365 -1.385 -1.276 -0.865 0.474 1.571 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.677 -1.67 -1.632 -1.559 -1.198 0.375 1.576 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00601 HGDP00601 0.194 -0.006 -0.221 -0.392 -0.56 -0.664 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.172 0.073 -0.193 -0.379 -0.483 -0.69 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.443 0.388 0.254 0.074 -0.217 -0.701 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.747 0.736 0.652 0.468 0.12 -0.684 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00602 HGDP00602 -0.115 -0.055 0.006 0.114 0.24 0.035 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.142 -0.113 -0.081 -0.003 0.161 -0.002 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.263 0.318 0.336 0.362 0.295 -0.096 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.693 0.717 0.738 0.742 0.596 -0.08 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00606 HGDP00606 -0.174 -0.041 0.028 -0.305 -0.553 -0.764 -0.701 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.104 0.123 0.101 -0.242 -0.611 -0.778 -0.687 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.394 0.35 0.211 -0.027 -0.586 -0.846 -0.668 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.435 0.345 0.184 -0.036 -0.518 -0.831 -0.664 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00607 HGDP00607 1.311 1.207 1.274 1.377 1.22 1.536 1.648 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.87 0.846 0.882 0.959 0.924 1.483 1.666 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.198 0.174 0.217 0.341 0.384 1.141 1.689 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.079 -0.093 -0.06 0.033 0.278 0.968 1.695 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00608 HGDP00608 1.85 1.84 1.875 2.036 1.797 1.146 0.757 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.22 2.119 2.099 2.206 2.081 1.212 0.741 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.448 2.447 2.44 2.421 2.267 1.375 0.719 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.447 2.398 2.321 2.18 2.142 1.408 0.713 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00609 HGDP00609 0.186 0.222 0.362 0.703 0.997 0.919 0.474 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.045 0.089 0.305 0.628 0.926 0.85 0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.015 0.1 0.236 0.539 0.787 0.892 0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.093 0.222 0.358 0.594 0.784 0.906 0.516 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00610 HGDP00610 0.059 -0.148 -0.361 -0.447 -0.435 0.212 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.086 -0.068 -0.231 -0.247 -0.29 0.316 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.322 0.233 0.152 0.143 0.121 0.393 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.598 0.512 0.453 0.375 0.243 0.475 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00611 HGDP00611 1.235 1.222 1.353 1.383 0.91 0.152 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.752 1.691 1.713 1.599 1.185 0.21 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.874 1.863 1.827 1.622 1.365 0.425 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.589 1.641 1.64 1.484 1.31 0.509 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00613 HGDP00613 -0.062 0.001 -0.091 -0.285 -0.121 1.288 2.154 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.556 -0.453 -0.441 -0.562 -0.358 1.039 2.181 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.309 -1.237 -1.2 -1.123 -0.865 0.744 2.217 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.546 -1.454 -1.39 -1.301 -1.133 0.592 2.226 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00614 HGDP00614 1.131 1.254 1.286 1.019 0.59 -0.202 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.943 1.032 1.104 0.985 0.752 -0.02 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.504 0.588 0.627 0.601 0.635 0.153 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.025 0.013 0.027 0.105 0.314 0.18 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00618 HGDP00618 -0.767 -0.704 -0.463 -0.119 -0.092 0.056 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.829 -0.716 -0.472 -0.176 -0.022 0.171 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.648 -0.575 -0.405 -0.31 -0.034 0.351 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.575 -0.503 -0.404 -0.266 -0.051 0.39 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00619 HGDP00619 2.237 2.111 1.767 1.266 0.879 0.882 0.474 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.785 1.617 1.413 1.023 0.755 0.934 0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.132 1.012 0.864 0.597 0.564 0.895 0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.704 0.634 0.566 0.469 0.451 0.859 0.516 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00620 HGDP00620 -1.084 -1.045 -1.052 -0.979 -1.118 -1.156 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.727 -0.695 -0.707 -0.759 -1.047 -1.107 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.499 -0.465 -0.416 -0.469 -0.894 -1.141 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.393 -0.382 -0.392 -0.38 -0.806 -1.167 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00622 HGDP00622 -2.955 -2.922 -3.178 -3.329 -3.08 -2.148 -1.215 NA NA NA NA NA NA NA NA NA NA NA NA NA -3.078 -3.166 -3.388 -3.462 -3.236 -2.272 -1.172 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.791 -2.906 -3.111 -3.459 -3.457 -2.632 -1.113 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.52 -2.643 -2.799 -3.082 -3.388 -2.756 -1.099 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00623 HGDP00623 -0.794 -0.719 -0.424 0.139 0.761 1.377 1.932 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.899 -0.748 -0.464 0.044 0.547 1.403 1.917 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.985 -0.876 -0.635 -0.357 0.062 1.197 1.897 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.122 -1.037 -0.874 -0.65 -0.241 1.099 1.892 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00624 HGDP00624 0.609 0.663 0.393 0.311 0.168 0.038 0.358 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.364 0.296 0.02 0.049 0.058 0.025 0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.029 -0.059 -0.158 -0.241 -0.173 -0.113 0.392 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.128 0.098 0.025 -0.1 -0.156 -0.201 0.397 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00625 HGDP00625 1.015 1.122 1.113 1.114 1.533 1.727 2.047 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.73 0.841 0.846 0.888 1.362 1.719 2.034 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.269 0.261 0.257 0.325 0.841 1.554 2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.089 0.01 -0.119 -0.115 0.411 1.471 2.011 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00626 HGDP00626 1.215 1.072 0.977 0.968 1.319 1.234 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.031 1.025 0.972 1.034 1.379 1.269 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.769 0.814 0.904 1.024 1.365 1.352 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.776 0.854 0.997 1.103 1.468 1.368 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00627 HGDP00627 -0.694 -0.63 -0.678 -0.624 -0.636 -0.607 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.891 -0.837 -0.814 -0.674 -0.608 -0.533 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.079 -1.048 -0.989 -0.855 -0.604 -0.55 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.169 -1.125 -1.063 -0.951 -0.733 -0.545 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00628 HGDP00628 0.005 0.194 0.394 0.354 0.2 -0.079 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.132 0.033 0.169 0.26 0.212 0.027 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.025 0.027 0.151 0.277 0.402 0.074 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.061 0.089 0.186 0.368 0.548 0.126 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00629 HGDP00629 1.016 0.952 1 0.914 0.619 -0.184 -0.701 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.084 1.081 1.179 1.168 0.962 0.005 -0.687 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.422 1.432 1.523 1.643 1.436 0.32 -0.668 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.548 1.582 1.692 1.781 1.657 0.409 -0.664 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00630 HGDP00630 -0.027 0.11 0.343 0.397 0.335 0.32 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.019 0.065 0.293 0.388 0.295 0.413 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.229 -0.157 -0.008 0.077 0.188 0.434 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.293 -0.238 -0.14 -0.061 0.155 0.434 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00631 HGDP00631 0.808 0.855 1.01 1.276 1.158 1.348 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.822 0.885 1.003 1.193 1.158 1.394 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.005 1.01 1.103 1.213 1.176 1.446 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.102 1.068 1.078 1.204 1.251 1.459 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00632 HGDP00632 0.321 0.432 0.504 0.467 0.655 0.905 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.552 0.664 0.647 0.597 0.617 0.753 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.328 0.364 0.434 0.477 0.534 0.625 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.113 0.164 0.234 0.279 0.43 0.619 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00634 HGDP00634 1.355 1.394 1.56 1.454 1.19 0.721 0.979 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.04 1.151 1.228 1.288 1.085 0.712 1.005 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.599 0.668 0.768 0.886 0.737 0.726 1.038 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.235 0.241 0.272 0.346 0.374 0.72 1.047 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00635 HGDP00635 -0.229 -0.24 -0.162 -0.045 -0.044 -0.084 0.358 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.237 -0.292 -0.228 -0.113 -0.124 -0.079 0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.556 -0.562 -0.543 -0.491 -0.454 -0.171 0.392 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.875 -0.872 -0.866 -0.785 -0.648 -0.25 0.397 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00636 HGDP00636 -0.788 -0.879 -0.967 -0.817 -0.544 -0.534 -0.701 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.037 -1.085 -1.092 -0.827 -0.567 -0.546 -0.687 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.025 -1.019 -0.996 -0.927 -0.734 -0.52 -0.668 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.982 -0.935 -0.912 -0.909 -0.778 -0.562 -0.664 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00637 HGDP00637 0.983 0.597 0.182 -0.279 -0.437 0.34 0.757 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.594 0.276 -0.068 -0.484 -0.542 0.196 0.741 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.08 -0.321 -0.609 -0.839 -0.811 -0.003 0.719 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.617 -0.736 -0.962 -1.184 -1.085 -0.048 0.713 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00638 HGDP00638 -0.781 -0.673 -0.531 -0.541 -0.504 -0.843 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.663 -0.623 -0.562 -0.513 -0.443 -0.813 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.382 -0.411 -0.44 -0.395 -0.33 -0.813 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.091 -0.115 -0.203 -0.274 -0.168 -0.819 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00639 HGDP00639 -2.228 -2.476 -2.803 -2.885 -2.383 -1.493 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.608 -2.821 -2.991 -2.945 -2.468 -1.666 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA -3.053 -3.187 -3.287 -3.212 -2.679 -1.793 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA -3.197 -3.204 -3.248 -3.266 -2.882 -1.813 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00640 HGDP00640 -0.18 -0.222 -0.241 -0.329 -0.331 -0.756 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.028 -0.059 0.005 -0.072 -0.239 -0.759 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.409 0.407 0.415 0.283 -0.009 -0.85 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.617 0.569 0.503 0.392 0.1 -0.88 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00641 HGDP00641 0.339 0.402 0.578 0.764 0.632 -0.011 -0.586 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.518 0.614 0.758 0.745 0.65 -0.054 -0.57 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.448 0.527 0.569 0.57 0.429 -0.069 -0.55 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.309 0.376 0.391 0.381 0.323 -0.124 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00643 HGDP00643 -0.988 -1.385 -1.72 -1.814 -1.837 -1.747 -0.922 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.426 -1.617 -1.763 -1.686 -1.782 -1.77 -0.892 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.84 -1.866 -1.846 -1.888 -1.953 -1.892 -0.848 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.031 -2.005 -1.968 -1.991 -2.059 -2.012 -0.836 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00644 HGDP00644 -0.648 -0.486 -0.127 0.12 0.317 0.533 0.757 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.616 -0.533 -0.286 -0.037 0.226 0.464 0.741 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.677 -0.609 -0.448 -0.269 -0.034 0.425 0.719 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.722 -0.686 -0.604 -0.409 -0.179 0.398 0.713 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00645 HGDP00645 1.467 1.365 1.175 0.821 0.502 0.782 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.459 1.292 1.063 0.739 0.497 0.786 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.154 1.05 0.926 0.725 0.645 0.695 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.005 0.944 0.834 0.717 0.757 0.677 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00646 HGDP00646 0.653 0.652 0.783 1.003 1.017 0.456 0.58 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.626 0.633 0.73 0.921 1.036 0.314 0.636 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.909 0.89 0.874 0.863 0.867 0.415 0.712 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.132 1.178 1.159 1.066 0.906 0.376 0.731 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00647 HGDP00647 -1.238 -1.411 -1.457 -1.361 -1.403 -1.208 -0.523 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.539 -1.602 -1.568 -1.437 -1.398 -1.24 -0.523 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.768 -1.698 -1.554 -1.394 -1.312 -1.333 -0.521 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.69 -1.608 -1.457 -1.279 -1.215 -1.321 -0.52 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00648 HGDP00648 0.942 0.835 0.782 0.629 0.371 0.42 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.9 0.883 0.92 0.864 0.605 0.577 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.705 0.729 0.816 0.905 0.916 0.751 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.606 0.673 0.825 0.942 0.892 0.827 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00649 HGDP00649 0.045 0.166 0.252 0.526 0.49 0.629 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.345 0.435 0.614 0.747 0.587 0.645 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.009 1.087 1.154 1.166 0.96 0.875 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.157 1.179 1.25 1.357 1.101 0.977 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00651 HGDP00651 1.017 0.777 0.628 0.586 0.215 -0.166 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.95 0.783 0.68 0.643 0.597 0.047 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.956 0.989 1.056 0.95 0.93 0.544 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.892 0.944 0.99 0.862 0.942 0.693 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00653 HGDP00653 -0.092 -0.069 0.228 0.52 1.06 1.334 1.378 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.016 0.097 0.267 0.47 0.819 1.33 1.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.162 -0.108 0.051 0.27 0.538 1.066 1.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.342 -0.289 -0.183 0.097 0.437 1.009 1.363 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00654 HGDP00654 -1.082 -1.11 -1.138 -1.126 -1.091 -0.519 -0.081 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.191 -1.201 -1.086 -1.02 -0.995 -0.475 -0.055 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.038 -1.01 -1.002 -1.022 -0.885 -0.362 -0.022 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.738 -0.783 -0.858 -0.968 -0.894 -0.35 -0.014 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00675 HGDP00675 0.502 0.42 0.324 0.163 -0.101 -0.557 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.613 0.54 0.422 0.355 0.056 -0.495 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.014 0.976 0.87 0.704 0.493 -0.399 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.068 1.065 1.054 0.988 0.757 -0.349 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00676 HGDP00676 0.279 0.404 0.392 0.074 -0.233 -0.167 -0.586 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.22 0.351 0.357 0.101 -0.195 -0.279 -0.57 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.271 0.288 0.227 0.12 -0.112 -0.242 -0.55 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.326 0.295 0.275 0.177 0.023 -0.216 -0.545 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00677 HGDP00677 -0.435 -0.522 -0.473 -0.385 -0.552 -0.298 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.498 -0.569 -0.513 -0.477 -0.694 -0.354 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.504 -0.526 -0.501 -0.585 -0.8 -0.526 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.51 -0.565 -0.568 -0.644 -0.82 -0.555 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00679 HGDP00679 0.142 0.235 0.291 0.311 0.173 0.264 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.197 0.195 0.253 0.386 0.225 0.137 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.017 -0.086 -0.047 0.124 0.239 0.14 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.173 -0.236 -0.216 -0.11 0.075 0.18 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00680 HGDP00680 -0.202 -0.191 -0.32 -0.866 -1.383 -1.441 -1.29 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.546 -0.534 -0.681 -1.014 -1.278 -1.418 -1.303 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.781 -0.77 -0.855 -1.063 -1.024 -1.182 -1.315 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.734 -0.661 -0.666 -0.825 -0.816 -1.116 -1.318 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00682 HGDP00682 0.128 -0.133 -0.338 -0.388 -0.414 -0.32 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.384 0.194 0.062 -0.16 -0.281 -0.23 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.442 0.413 0.329 0.057 0.06 -0.092 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.331 0.345 0.321 0.205 0.1 0.005 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00684 HGDP00684 -0.874 -0.717 -0.66 -0.618 -0.399 -0.137 0.358 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.119 -1.015 -0.968 -0.778 -0.448 -0.226 0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.17 -1.082 -1.056 -0.841 -0.599 -0.354 0.392 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.966 -0.899 -0.801 -0.691 -0.675 -0.403 0.397 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00685 HGDP00685 0.899 0.768 0.604 0.558 0.812 1.724 2.552 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.49 0.357 0.312 0.328 0.542 1.616 2.55 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.423 -0.478 -0.479 -0.338 -0.042 1.339 2.544 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.023 -0.987 -0.916 -0.751 -0.464 1.235 2.542 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00686 HGDP00686 0.75 0.793 0.894 0.754 0.641 0.439 0.474 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.842 0.907 0.861 0.725 0.634 0.345 0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.01 0.956 0.911 0.821 0.677 0.328 0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.041 1.03 0.998 0.978 0.908 0.312 0.516 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00687 HGDP00687 -1.042 -0.928 -0.642 -0.243 0.181 0.502 1.05 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.62 -0.532 -0.311 -0.055 0.248 0.528 1.021 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.409 -0.332 -0.197 0.044 0.241 0.382 0.985 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.471 -0.435 -0.347 -0.134 0.143 0.348 0.976 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00688 HGDP00688 -1.233 -1.05 -0.751 -0.331 0.052 1.136 2.047 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.092 -0.93 -0.785 -0.478 -0.062 1.09 2.034 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.699 -0.589 -0.535 -0.502 -0.304 0.989 2.016 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.408 -0.338 -0.302 -0.382 -0.28 0.934 2.011 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00689 HGDP00689 -0.492 -0.464 -0.308 -0.169 -0.09 -0.147 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.4 -0.356 -0.184 0.051 0.014 -0.005 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.116 -0.061 0.1 0.277 0.328 0.121 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.148 0.217 0.334 0.534 0.515 0.192 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00690 HGDP00690 -1.47 -1.365 -1.344 -1.317 -1.204 -0.901 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.475 -1.41 -1.275 -1.154 -1.149 -0.834 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.213 -1.174 -1.04 -0.909 -0.891 -0.899 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.814 -0.857 -0.869 -0.813 -0.786 -0.884 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00692 HGDP00692 -0.483 -0.473 -0.272 -0.091 -0.164 -0.355 -1.184 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.519 -0.459 -0.24 0.027 0.102 -0.332 -1.215 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.035 0.132 0.259 0.419 0.609 0.185 -1.254 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.5 0.603 0.713 0.753 0.853 0.39 -1.264 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00694 HGDP00694 0.783 0.746 0.634 0.638 0.734 0.419 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.853 0.807 0.736 0.708 0.823 0.49 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.086 1.08 1.082 1.099 1.075 0.541 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.207 1.19 1.213 1.273 1.266 0.581 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00696 HGDP00696 -1.948 -1.738 -1.432 -1.036 -0.373 0.639 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA -2.004 -1.781 -1.47 -1.125 -0.467 0.52 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.681 -1.525 -1.269 -0.902 -0.401 0.284 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.114 -1.033 -0.81 -0.505 -0.224 0.238 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00697 HGDP00697 -1.3 -1.28 -1.093 -0.613 -0.024 -0.131 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.309 -1.278 -1.071 -0.567 0.001 0.051 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.11 -1.043 -0.926 -0.592 0.003 0.223 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.032 -0.911 -0.764 -0.52 -0.047 0.269 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00698 HGDP00698 0.128 0.092 -0.041 -0.023 -0.151 -0.778 -0.595 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.343 0.288 0.23 0.247 0.026 -0.794 -0.54 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.543 0.551 0.545 0.596 0.16 -0.675 -0.467 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.625 0.663 0.704 0.671 0.283 -0.699 -0.449 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00699 HGDP00699 0.942 0.956 1.127 1.062 0.455 0.047 0.757 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.105 1.104 1.113 1.064 0.498 0.116 0.741 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.908 0.87 0.833 0.806 0.447 0.132 0.719 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.437 0.417 0.377 0.385 0.286 0.141 0.713 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00700 HGDP00700 -0.876 -0.845 -0.899 -1.195 -1.874 -2.267 -2.097 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.69 -0.704 -0.808 -1.098 -1.651 -2.318 -2.068 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.381 -0.376 -0.391 -0.529 -1.179 -2.351 -2.026 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.003 0.04 0.094 0.015 -0.665 -2.359 -2.015 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00701 HGDP00701 -0.679 -0.317 0.125 0.763 1.392 1.535 1.932 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.631 -0.309 0.052 0.707 1.309 1.608 1.917 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.232 -0.06 0.216 0.625 1.136 1.471 1.897 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.202 -0.101 0.082 0.407 0.934 1.392 1.892 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00726 HGDP00726 0.767 0.913 0.922 0.996 1.078 1.836 1.493 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.963 1.029 0.987 0.933 0.926 1.76 1.49 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.83 0.807 0.701 0.537 0.573 1.629 1.484 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.372 0.394 0.355 0.206 0.251 1.586 1.482 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00729 HGDP00729 0.232 0.194 0.125 0.223 0.529 0.668 -0.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.153 0.196 0.233 0.357 0.566 0.599 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.536 0.538 0.622 0.778 0.846 0.68 -0.223 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.991 0.986 1.023 1.11 1.124 0.754 -0.229 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00731 HGDP00731 -0.2 -0.208 0.019 0.235 0.761 1.541 1.378 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.399 -0.372 -0.068 0.21 0.734 1.647 1.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.874 -0.824 -0.632 -0.308 0.537 1.639 1.365 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.225 -1.183 -1.068 -0.77 0.049 1.633 1.363 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00732 HGDP00732 -0.979 -0.883 -0.724 -0.47 -0.047 0.164 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.689 -0.631 -0.541 -0.371 -0.034 0.228 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.176 -0.166 -0.122 0.018 0.143 0.271 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.168 0.206 0.29 0.385 0.37 0.305 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00733 HGDP00733 -1.149 -1.243 -1.264 -1.382 -1.62 -1.923 -2.097 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.191 -1.214 -1.179 -1.294 -1.479 -2.074 -2.068 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.789 -0.865 -0.941 -1.121 -1.262 -1.938 -2.026 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.432 -0.502 -0.644 -0.909 -1.241 -1.87 -2.015 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00734 HGDP00734 -0.789 -0.717 -0.478 -0.185 0.319 1.25 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.19 -1 -0.767 -0.497 0.038 1.017 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.685 -1.608 -1.374 -1.008 -0.386 0.693 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.583 -1.526 -1.367 -1.091 -0.55 0.597 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00735 HGDP00735 -0.968 -1.139 -1.415 -1.851 -2.144 -1.788 -1.583 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.179 -1.304 -1.564 -1.843 -2.21 -1.946 -1.583 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.626 -1.766 -1.855 -1.854 -2.123 -2.027 -1.581 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.725 -1.804 -1.841 -1.79 -2.02 -2.003 -1.58 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00736 HGDP00736 -0.083 -0.036 0.181 0.41 0.635 0.939 0.873 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.28 -0.316 -0.065 0.355 0.633 0.982 0.858 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.394 -0.357 -0.194 0.257 0.606 1.05 0.837 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.167 -0.121 0.032 0.328 0.694 1.066 0.832 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00738 HGDP00738 -0.978 -1.023 -1.134 -1.159 -1.133 -0.737 -0.701 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.026 -1.174 -1.24 -1.267 -1.17 -0.697 -0.687 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.934 -1.016 -1.101 -1.099 -1.07 -0.67 -0.668 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.769 -0.826 -0.835 -0.885 -0.992 -0.656 -0.664 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00739 HGDP00739 1.023 0.856 0.381 -0.049 -0.786 -1.288 -0.816 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.031 0.845 0.5 0.06 -0.62 -1.29 -0.804 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.94 0.882 0.758 0.397 -0.275 -1.143 -0.787 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.706 0.695 0.633 0.411 -0.076 -1.101 -0.782 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00740 HGDP00740 0.074 -0.054 -0.196 -0.369 -0.683 -0.408 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.036 -0.117 -0.239 -0.383 -0.704 -0.408 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.428 0.312 0.186 0.043 -0.362 -0.622 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.845 0.741 0.689 0.573 0.053 -0.62 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00741 HGDP00741 -0.362 -0.347 0.03 0.328 0.245 -0.403 -0.701 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.071 -0.058 0.18 0.335 0.351 -0.374 -0.687 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.514 0.546 0.604 0.679 0.516 -0.191 -0.668 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.75 0.811 0.879 0.942 0.802 -0.151 -0.664 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00744 HGDP00744 0.044 -0.06 -0.216 -0.045 0.124 0.054 0.358 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.218 0.132 0.047 0.09 0.155 -0.041 0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.782 0.689 0.569 0.633 0.504 0.061 0.392 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.052 1.063 1.008 0.983 0.79 0.156 0.397 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00745 HGDP00745 2.354 2.275 2.059 1.762 1.344 0.588 -0.302 NA NA NA NA NA NA NA NA NA NA NA NA NA 2.168 2.088 1.981 1.762 1.552 0.767 -0.319 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.985 1.992 1.976 1.811 1.877 1.169 -0.342 NA NA NA NA NA NA NA NA NA NA NA NA NA 1.998 2.034 2.059 1.944 2.019 1.319 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP00746 HGDP00746 0.101 0 -0.138 -0.325 -0.164 0.208 -0.187 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.054 -0.083 -0.157 -0.322 -0.131 0.27 -0.202 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.305 0.213 0.038 -0.178 -0.197 0.425 -0.223 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.295 0.171 0.012 -0.154 -0.2 0.485 -0.229 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01254 HGDP01254 -0.062 -0.287 -0.489 -0.684 -0.59 -0.908 -1.299 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.085 -0.038 -0.214 -0.313 -0.369 -0.786 -1.331 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.002 -0.035 -0.073 0.047 0.074 -0.543 -1.373 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.059 0.052 0 0.085 0.157 -0.422 -1.383 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01255 HGDP01255 1.105 1.191 1.133 0.985 1.147 0.367 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.916 1.033 1.044 1.024 1.278 0.498 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.513 0.557 0.534 0.625 1.174 0.888 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.143 0.239 0.287 0.353 0.78 1.003 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01257 HGDP01257 0.195 0.005 -0.23 -0.66 -1.024 -1.477 -1.698 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.087 -0.252 -0.408 -0.734 -0.946 -1.338 -1.7 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.336 -0.434 -0.586 -0.74 -0.94 -1.093 -1.7 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.389 -0.452 -0.544 -0.651 -0.892 -1.04 -1.699 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01258 HGDP01258 -0.707 -0.91 -0.965 -0.937 -0.793 -0.576 -0.417 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.706 -0.845 -0.853 -0.78 -0.758 -0.478 -0.435 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.743 -0.773 -0.706 -0.579 -0.528 -0.51 -0.46 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.584 -0.593 -0.583 -0.485 -0.381 -0.501 -0.466 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01259 HGDP01259 0.185 0.093 0.022 -0.002 -0.306 -0.575 0.358 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.07 -0.095 -0.153 -0.146 -0.251 -0.574 0.373 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.097 -0.24 -0.33 -0.393 -0.434 -0.495 0.392 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.085 -0.211 -0.386 -0.539 -0.557 -0.516 0.397 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01260 HGDP01260 -0.758 -0.693 -0.612 -0.621 -0.662 -1.537 -2.181 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.147 -0.156 -0.185 -0.347 -0.583 -1.461 -2.227 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.011 -0.055 -0.088 -0.191 -0.306 -1.441 -2.286 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.024 -0.057 -0.125 -0.096 -0.195 -1.356 -2.3 NA NA NA NA NA NA NA NA NA NA NA NA NA
-HGDP01261 HGDP01261 -1.063 -0.733 -0.496 -0.179 0.246 0.36 0.474 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.58 -0.468 -0.384 -0.212 0.142 0.334 0.489 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.419 -0.398 -0.383 -0.359 -0.076 0.185 0.51 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.357 -0.344 -0.366 -0.413 -0.158 0.114 0.516 NA NA NA NA NA NA NA NA NA NA NA NA NA
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+HGDP01275 HGDP01275 -1.376 -1.163 -1.043 -0.749 -0.176 0.024 -0.59 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.853 -0.81 -0.791 -0.648 -0.345 -0.081 -0.575 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.463 -0.45 -0.448 -0.363 -0.293 -0.26 -0.554 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.203 -0.178 -0.136 -0.037 -0.029 -0.308 -0.549 NA NA NA NA NA NA NA NA NA NA NA NA NA
+HGDP01276 HGDP01276 0.254 -0.036 -0.092 -0.102 -0.085 -0.326 0.362 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.197 -0.233 -0.188 -0.278 -0.309 -0.363 0.376 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.813 -0.722 -0.639 -0.615 -0.694 -0.519 0.395 NA NA NA NA NA NA NA NA NA NA NA NA NA -1.254 -1.145 -1.011 -0.918 -0.894 -0.582 0.4 NA NA NA NA NA NA NA NA NA NA NA NA NA
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+LP6005443-DNA_D01 LP6005443-DNA_D01 0.036 0.174 0.409 0.436 0.292 -0.07 -0.308 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.013 0.098 0.292 0.38 0.321 0.041 -0.325 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.296 0.332 0.392 0.423 0.356 0.142 -0.348 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.438 0.381 0.354 0.295 0.3 0.192 -0.354 NA NA NA NA NA NA NA NA NA NA NA NA NA
+LP6005592-DNA_B03 LP6005592-DNA_B03 -0.378 -0.358 -0.297 -0.062 0.53 1.308 1.656 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.488 -0.382 -0.298 0.037 0.488 1.218 1.673 NA NA NA NA NA NA NA NA NA NA NA NA NA -0.119 -0.074 -0.055 0.068 0.346 1.017 1.697 NA NA NA NA NA NA NA NA NA NA NA NA NA 0.442 0.413 0.331 0.261 0.439 0.883 1.703 NA NA NA NA NA NA NA NA NA NA NA NA NA
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-MID.scale b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-MID.scale
index bcbcae16..fab66125 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-MID.scale
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-MID.scale
@@ -1,11 +1,11 @@
 Param Mean SD
-SCORE_s0.2_lambda0.001 0.0382106063970588 0.0115518769953597
-SCORE_s0.2_lambda0.00127427498570313 0.0342932066176471 0.0095855692375277
-SCORE_s0.2_lambda0.00162377673918872 0.0282581702941176 0.00770398525389342
-SCORE_s0.2_lambda0.00206913808111479 0.0195771773235294 0.00582613482742698
-SCORE_s0.2_lambda0.00263665089873036 0.00959669656617647 0.00388427739797061
-SCORE_s0.2_lambda0.00335981828628378 0.00197344345073529 0.00225175013642661
-SCORE_s0.2_lambda0.00428133239871939 0.000405755720588235 0.000972431883497586
+SCORE_s0.2_lambda0.001 0.0383295725735294 0.0115163585498885
+SCORE_s0.2_lambda0.00127427498570313 0.0343591183823529 0.00955905345170862
+SCORE_s0.2_lambda0.00162377673918872 0.0282910315441176 0.00768071105652806
+SCORE_s0.2_lambda0.00206913808111479 0.0196721942573529 0.00581101495382203
+SCORE_s0.2_lambda0.00263665089873036 0.00970374736764706 0.00387353713374205
+SCORE_s0.2_lambda0.00335981828628378 0.00209312885147059 0.00224703296162506
+SCORE_s0.2_lambda0.00428133239871939 0.000415197883823529 0.000983153987519353
 SCORE_s0.2_lambda0.00545559478116852 0 0
 SCORE_s0.2_lambda0.00695192796177561 0 0
 SCORE_s0.2_lambda0.00885866790410083 0 0
@@ -19,13 +19,13 @@ SCORE_s0.2_lambda0.0483293023857176 0 0
 SCORE_s0.2_lambda0.0615848211066027 0 0
 SCORE_s0.2_lambda0.0784759970351462 0 0
 SCORE_s0.2_lambda0.1 0 0
-SCORE_s0.5_lambda0.001 0.0438671481617647 0.013222731321483
-SCORE_s0.5_lambda0.00127427498570313 0.0382836560294118 0.0111431106883099
-SCORE_s0.5_lambda0.00162377673918872 0.0295052233529412 0.00893381508343371
-SCORE_s0.5_lambda0.00206913808111479 0.02132220875 0.00675681328317002
-SCORE_s0.5_lambda0.00263665089873036 0.0108178387264706 0.004374232607128
-SCORE_s0.5_lambda0.00335981828628378 0.00172401704705882 0.00228800336654865
-SCORE_s0.5_lambda0.00428133239871939 0.000417958691176471 0.000959931786487918
+SCORE_s0.5_lambda0.001 0.0439622866176471 0.0132079788408528
+SCORE_s0.5_lambda0.00127427498570313 0.0384136841911765 0.0111265917525933
+SCORE_s0.5_lambda0.00162377673918872 0.029584951625 0.00891938018476282
+SCORE_s0.5_lambda0.00206913808111479 0.0214461219852941 0.00674580997488958
+SCORE_s0.5_lambda0.00263665089873036 0.0109322013823529 0.00436239817948536
+SCORE_s0.5_lambda0.00335981828628378 0.001846339175 0.00228453075485563
+SCORE_s0.5_lambda0.00428133239871939 0.000427665716176471 0.000970552139234402
 SCORE_s0.5_lambda0.00545559478116852 0 0
 SCORE_s0.5_lambda0.00695192796177561 0 0
 SCORE_s0.5_lambda0.00885866790410083 0 0
@@ -39,13 +39,13 @@ SCORE_s0.5_lambda0.0483293023857176 0 0
 SCORE_s0.5_lambda0.0615848211066027 0 0
 SCORE_s0.5_lambda0.0784759970351462 0 0
 SCORE_s0.5_lambda0.1 0 0
-SCORE_s0.9_lambda0.001 0.0902274132352941 0.0260889988020914
-SCORE_s0.9_lambda0.00127427498570313 0.0733857066176471 0.0216408435774825
-SCORE_s0.9_lambda0.00162377673918872 0.0546046441029412 0.0167513685528458
-SCORE_s0.9_lambda0.00206913808111479 0.0355398281617647 0.0114731100533655
-SCORE_s0.9_lambda0.00263665089873036 0.0164110430220588 0.00632593044862199
-SCORE_s0.9_lambda0.00335981828628378 0.00170728642941176 0.00257662144443707
-SCORE_s0.9_lambda0.00428133239871939 0.000435252536029412 0.00094590694136019
+SCORE_s0.9_lambda0.001 0.0903717904411765 0.0260744836582601
+SCORE_s0.9_lambda0.00127427498570313 0.0735288454411765 0.0216282127303075
+SCORE_s0.9_lambda0.00162377673918872 0.0547455582573529 0.016740048068751
+SCORE_s0.9_lambda0.00206913808111479 0.0356892733088235 0.0114594629181947
+SCORE_s0.9_lambda0.00263665089873036 0.0165272492352941 0.00630922806561379
+SCORE_s0.9_lambda0.00335981828628378 0.00183114069669118 0.00256218959526527
+SCORE_s0.9_lambda0.00428133239871939 0.000445337001470588 0.000956440338197329
 SCORE_s0.9_lambda0.00545559478116852 0 0
 SCORE_s0.9_lambda0.00695192796177561 0 0
 SCORE_s0.9_lambda0.00885866790410083 0 0
@@ -59,13 +59,13 @@ SCORE_s0.9_lambda0.0483293023857176 0 0
 SCORE_s0.9_lambda0.0615848211066027 0 0
 SCORE_s0.9_lambda0.0784759970351462 0 0
 SCORE_s0.9_lambda0.1 0 0
-SCORE_s1_lambda0.001 0.168180941911765 0.0464136913526052
-SCORE_s1_lambda0.00127427498570313 0.133134033823529 0.0380278133107437
-SCORE_s1_lambda0.00162377673918872 0.0966560326470588 0.0287052344902583
-SCORE_s1_lambda0.00206913808111479 0.0601501110294118 0.0179921945600315
-SCORE_s1_lambda0.00263665089873036 0.0240308149198529 0.00831983114124743
-SCORE_s1_lambda0.00335981828628378 0.00173813332647059 0.00277361669661318
-SCORE_s1_lambda0.00428133239871939 0.000439782098529412 0.00094286548883021
+SCORE_s1_lambda0.001 0.168401244117647 0.0463978259101226
+SCORE_s1_lambda0.00127427498570313 0.133330615441176 0.0380105124627461
+SCORE_s1_lambda0.00162377673918872 0.0968074189705882 0.0286908843837506
+SCORE_s1_lambda0.00206913808111479 0.0602994714705882 0.0179781947338591
+SCORE_s1_lambda0.00263665089873036 0.0241679634632353 0.00830360889385609
+SCORE_s1_lambda0.00335981828628378 0.00186303615 0.0027549433172081
+SCORE_s1_lambda0.00428133239871939 0.000449965553676471 0.000953385957503297
 SCORE_s1_lambda0.00545559478116852 0 0
 SCORE_s1_lambda0.00695192796177561 0 0
 SCORE_s1_lambda0.00885866790410083 0 0
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.model.rds b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.model.rds
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diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.profiles b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.profiles
index 7e296d79..3b38cdf9 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.profiles
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.profiles
@@ -1,3314 +1,3314 @@
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diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.scale b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.scale
index 063a96d1..dd3136af 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.scale
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04-TRANS.scale
@@ -1,11 +1,11 @@
 Param Mean SD
-SCORE_s0.2_lambda0.001 -1.72193342787528e-05 0.867740128428572
-SCORE_s0.2_lambda0.00127427498570313 -1.29607669230678e-05 0.800229828162781
-SCORE_s0.2_lambda0.00162377673918872 -2.97669238860855e-06 0.691120914801276
-SCORE_s0.2_lambda0.00206913808111479 -1.04591989140578e-07 0.522681013950191
-SCORE_s0.2_lambda0.00263665089873036 -9.55616325260638e-10 0.33658831172352
-SCORE_s0.2_lambda0.00335981828628378 3.09961053300983e-17 0.185542796787219
-SCORE_s0.2_lambda0.00428133239871939 -8.42895320420045e-19 0.0754962797864694
+SCORE_s0.2_lambda0.001 -1.71821557265553e-05 0.866928801541071
+SCORE_s0.2_lambda0.00127427498570313 -1.28496131527311e-05 0.799449699774289
+SCORE_s0.2_lambda0.00162377673918872 -2.94215094621932e-06 0.69027650499231
+SCORE_s0.2_lambda0.00206913808111479 -1.06624209778446e-07 0.522142004497076
+SCORE_s0.2_lambda0.00263665089873036 -9.3709680490142e-10 0.336163933016958
+SCORE_s0.2_lambda0.00335981828628378 2.44612387276168e-17 0.185711457503327
+SCORE_s0.2_lambda0.00428133239871939 2.26958553690457e-19 0.076280957867512
 SCORE_s0.2_lambda0.00545559478116852 0 0
 SCORE_s0.2_lambda0.00695192796177561 0 0
 SCORE_s0.2_lambda0.00885866790410083 0 0
@@ -19,13 +19,13 @@ SCORE_s0.2_lambda0.0483293023857176 0 0
 SCORE_s0.2_lambda0.0615848211066027 0 0
 SCORE_s0.2_lambda0.0784759970351462 0 0
 SCORE_s0.2_lambda0.1 0 0
-SCORE_s0.5_lambda0.001 -1.64538333894864e-05 0.894574673677941
-SCORE_s0.5_lambda0.00127427498570313 -1.31222753446071e-05 0.843274292283521
-SCORE_s0.5_lambda0.00162377673918872 -5.47684806584081e-06 0.747186482936761
-SCORE_s0.5_lambda0.00206913808111479 -5.22987425872701e-08 0.5860818424202
-SCORE_s0.5_lambda0.00263665089873036 1.80095666982584e-08 0.374351536819204
-SCORE_s0.5_lambda0.00335981828628378 7.62030826054753e-18 0.187811828879282
-SCORE_s0.5_lambda0.00428133239871939 4.02606801861908e-19 0.0744249017725375
+SCORE_s0.5_lambda0.001 -1.66618336170344e-05 0.894333958448789
+SCORE_s0.5_lambda0.00127427498570313 -1.31685361277506e-05 0.842894332160822
+SCORE_s0.5_lambda0.00162377673918872 -5.63285238178484e-06 0.746727318326854
+SCORE_s0.5_lambda0.00206913808111479 -1.03295691689469e-07 0.585555761443569
+SCORE_s0.5_lambda0.00263665089873036 1.66039613493521e-08 0.373654869265938
+SCORE_s0.5_lambda0.00335981828628378 -1.14372130874525e-17 0.187586092246466
+SCORE_s0.5_lambda0.00428133239871939 1.9544017137332e-18 0.075198683730414
 SCORE_s0.5_lambda0.00545559478116852 0 0
 SCORE_s0.5_lambda0.00695192796177561 0 0
 SCORE_s0.5_lambda0.00885866790410083 0 0
@@ -39,13 +39,13 @@ SCORE_s0.5_lambda0.0483293023857176 0 0
 SCORE_s0.5_lambda0.0615848211066027 0 0
 SCORE_s0.5_lambda0.0784759970351462 0 0
 SCORE_s0.5_lambda0.1 0 0
-SCORE_s0.9_lambda0.001 6.18104873760974e-05 0.980657864400319
-SCORE_s0.9_lambda0.00127427498570313 3.90352691015627e-05 0.967465076762771
-SCORE_s0.9_lambda0.00162377673918872 4.45071705941631e-06 0.933317370530192
-SCORE_s0.9_lambda0.00206913808111479 -9.96215490265789e-06 0.825184736770895
-SCORE_s0.9_lambda0.00263665089873036 9.11722564044899e-07 0.531963422392032
-SCORE_s0.9_lambda0.00335981828628378 1.61513561636905e-18 0.209943977751392
-SCORE_s0.9_lambda0.00428133239871939 -1.19754044761917e-18 0.0732154695289679
+SCORE_s0.9_lambda0.001 6.1296247882199e-05 0.980640066390293
+SCORE_s0.9_lambda0.00127427498570313 3.83618698045169e-05 0.967422714663178
+SCORE_s0.9_lambda0.00162377673918872 4.00571295197563e-06 0.933217275745099
+SCORE_s0.9_lambda0.00206913808111479 -1.03444039239142e-05 0.824784104506798
+SCORE_s0.9_lambda0.00263665089873036 8.42947213609951e-07 0.530882913185244
+SCORE_s0.9_lambda0.00335981828628378 -1.47350495791417e-18 0.208702549453614
+SCORE_s0.9_lambda0.00428133239871939 -8.66760186080783e-18 0.0739788274007942
 SCORE_s0.9_lambda0.00545559478116852 0 0
 SCORE_s0.9_lambda0.00695192796177561 0 0
 SCORE_s0.9_lambda0.00885866790410083 0 0
@@ -59,13 +59,13 @@ SCORE_s0.9_lambda0.0483293023857176 0 0
 SCORE_s0.9_lambda0.0615848211066027 0 0
 SCORE_s0.9_lambda0.0784759970351462 0 0
 SCORE_s0.9_lambda0.1 0 0
-SCORE_s1_lambda0.001 0.000145336403524435 0.996155081402662
-SCORE_s1_lambda0.00127427498570313 0.000116358150829023 0.992731785979237
-SCORE_s1_lambda0.00162377673918872 6.9581542087965e-05 0.982570705892848
-SCORE_s1_lambda0.00206913808111479 -1.86335045158235e-05 0.935224501749439
-SCORE_s1_lambda0.00263665089873036 1.1048509531313e-06 0.668413209575786
-SCORE_s1_lambda0.00335981828628378 3.28715257596331e-19 0.225616804157675
-SCORE_s1_lambda0.00428133239871939 -1.00621103221903e-17 0.0729513833431342
+SCORE_s1_lambda0.001 0.000145022844427242 0.996150432833711
+SCORE_s1_lambda0.00127427498570313 0.000115763290176564 0.992725512630414
+SCORE_s1_lambda0.00162377673918872 6.92707808282613e-05 0.982552938449554
+SCORE_s1_lambda0.00206913808111479 -1.8955530490358e-05 0.935118289125648
+SCORE_s1_lambda0.00263665089873036 8.74811143175493e-07 0.667549198868384
+SCORE_s1_lambda0.00335981828628378 1.14895649903839e-17 0.223997543459502
+SCORE_s1_lambda0.00428133239871939 1.06187519702479e-18 0.073712872476163
 SCORE_s1_lambda0.00545559478116852 0 0
 SCORE_s1_lambda0.00695192796177561 0 0
 SCORE_s1_lambda0.00885866790410083 0 0
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04.log b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04.log
index 71a6537a..72659116 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04.log
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04.log
@@ -3,36 +3,37 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter     Value                                                                                                 
- ref_plink_chr misc/dev/test_data/ref/ref.chr                                                                        
- ref_keep      misc/dev/test_data/ref/keep_files/EUR.keep                                                            
- ref_pcs       /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles
- gwas_pop      EUR                                                                                                   
- pop_data      misc/dev/test_data/ref/ref.pop.txt                                                                    
- plink2        plink2                                                                                                
- output        /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/lassosum/BODY04/ref-BODY04 
- n_cores       1                                                                                                     
- test          chr22                                                                                                 
- sumstats      /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/gwas_sumstat/BODY04/BODY04-cleaned.gz      
- help          FALSE                                                                                                 
- output_dir    /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/lassosum/BODY04/           
+ Parameter     Value                                                                                             
+ ref_plink_chr misc/dev/test_data/ref/ref.chr                                                                    
+ ref_keep      misc/dev/test_data/ref/keep_files/EUR.keep                                                        
+ ref_pcs       /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles
+ gwas_pop      EUR                                                                                               
+ pop_data      misc/dev/test_data/ref/ref.pop.txt                                                                
+ plink2        plink2                                                                                            
+ output        /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/lassosum/BODY04/ref-BODY04 
+ n_cores       1                                                                                                 
+ pseudo_only   FALSE                                                                                             
+ test          chr22                                                                                             
+ sumstats      /scratch/prj/oliverpainfel/tmp/genopred_test/reference/gwas_sumstat/BODY04/BODY04-cleaned.gz      
+ help          FALSE                                                                                             
+ output_dir    /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/lassosum/BODY04/           
 ---------------
-Analysis started at 2025-04-06 17:28:54
+Analysis started at 2025-07-16 12:46:54
 Reading in GWAS.
 sumstats contains 841 variants.
 841 variants remain after selecting chromosomes.
 sumstats contains 841 variants with complete data.
 Merging per chromosome reference data.
-Test started at 2025-04-06 17:28:56
+Test started at 2025-07-16 12:46:56
 Running lassosum pipeline.
 Performing pseudovalidation.
 Pseudovalidated parameters:
 s = 0.2
 lambda = 0.001
 value = 0
-Test run finished at 2025-04-06 17:28:57 
-Test duration was 0.52 secs 
-Analysis finished at 2025-04-06 17:28:57 
-Analysis duration was 2.42 secs 
+Test run finished at 2025-07-16 12:46:57 
+Test duration was 1.16 secs 
+Analysis finished at 2025-07-16 12:46:57 
+Analysis duration was 2.55 secs 
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04.score.gz b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/lassosum/BODY04/ref-BODY04.score.gz
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diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ptclump/BODY04/ref-BODY04-TRANS.model.rds b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ptclump/BODY04/ref-BODY04-TRANS.model.rds
index c9049710db1e65fad84fd29b95976038c6498a18..56832dc4ffd1268de5585caf7689a2df7ee98595 100644
GIT binary patch
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diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ptclump/BODY04/ref-BODY04.log b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ptclump/BODY04/ref-BODY04.log
index 55509f54..60b7e71f 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ptclump/BODY04/ref-BODY04.log
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ptclump/BODY04/ref-BODY04.log
@@ -3,36 +3,36 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter     Value                                                                                                 
- ref_plink_chr misc/dev/test_data/ref/ref.chr                                                                        
- ref_keep      misc/dev/test_data/ref/keep_files/EUR.keep                                                            
- ref_pcs       /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles
- pop_data      misc/dev/test_data/ref/ref.pop.txt                                                                    
- plink2        plink2                                                                                                
- output        /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/ptclump/BODY04/ref-BODY04  
- memory        5000                                                                                                  
- sumstats      /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/gwas_sumstat/BODY04/BODY04-cleaned.gz      
- pTs           5e-8,1e-6,1e-4,1e-2,0.1,0.2,0.3,0.4,0.5,1                                                             
- nested        TRUE                                                                                                  
- test          chr22                                                                                                 
- top_hla       TRUE                                                                                                  
- help          FALSE                                                                                                 
- output_dir    /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/ptclump/BODY04/            
+ Parameter     Value                                                                                             
+ ref_plink_chr misc/dev/test_data/ref/ref.chr                                                                    
+ ref_keep      misc/dev/test_data/ref/keep_files/EUR.keep                                                        
+ ref_pcs       /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pc_score_files/TRANS/ref-TRANS-pcs.profiles
+ pop_data      misc/dev/test_data/ref/ref.pop.txt                                                                
+ plink2        plink2                                                                                            
+ output        /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/ptclump/BODY04/ref-BODY04  
+ memory        5000                                                                                              
+ sumstats      /scratch/prj/oliverpainfel/tmp/genopred_test/reference/gwas_sumstat/BODY04/BODY04-cleaned.gz      
+ pTs           5e-8,1e-6,1e-4,1e-2,0.1,0.2,0.3,0.4,0.5,1                                                         
+ nested        TRUE                                                                                              
+ test          chr22                                                                                             
+ top_hla       TRUE                                                                                              
+ help          FALSE                                                                                             
+ output_dir    /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/ptclump/BODY04/            
 ---------------
-Analysis started at 2025-04-06 17:34:10
+Analysis started at 2025-07-16 12:46:57
 Reading in GWAS.
 sumstats contains 841 variants.
 841 variants remain after selecting chromosomes.
 sumstats contains 841 variants with complete data.
 Extracted top variant in HLA/MHC region.
 841 variants remain.
-Test started at 2025-04-06 17:34:10
+Test started at 2025-07-16 12:46:58
 Performing LD-based clumping.
 148 variants remain after clumping.
 Creating score file.
-Test run finished at 2025-04-06 17:34:10 
-Test duration was 0.14 secs 
-Analysis finished at 2025-04-06 17:34:10 
-Analysis duration was 0.48 secs 
+Test run finished at 2025-07-16 12:46:58 
+Test duration was 0.48 secs 
+Analysis finished at 2025-07-16 12:46:58 
+Analysis duration was 0.71 secs 
diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ptclump/BODY04/ref-BODY04.score.gz b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ptclump/BODY04/ref-BODY04.score.gz
index 0a5dc2f32ebf0398469762a91939fced0f6189ce..d8eedbdf1b720bdcef6366058eb6cc0bbb920244 100644
GIT binary patch
delta 17
YcmeyV{ZpGmzMF%?XkvNBMvjl706WwMYybcN

delta 17
YcmeyV{ZpGmzMF%CY3--<jT|3E0X_8w(f|Me

diff --git a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ref_scoring_2025-04-06_17-34-11.log b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ref_scoring_2025-07-16_12-46-59.log
similarity index 61%
rename from pipeline/misc/dev/test_data/output/reference/pgs_score_files/ref_scoring_2025-04-06_17-34-11.log
rename to pipeline/misc/dev/test_data/output/reference/pgs_score_files/ref_scoring_2025-07-16_12-46-59.log
index 44cc2425..f9ed0ada 100644
--- a/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ref_scoring_2025-04-06_17-34-11.log
+++ b/pipeline/misc/dev/test_data/output/reference/pgs_score_files/ref_scoring_2025-07-16_12-46-59.log
@@ -3,24 +3,24 @@
 # For questions contact Oliver Pain (oliver.pain@kcl.ac.uk)
 #################################################################
 # Repository: GenoPred
-# Version (tag): v2.2.2-258-gd2f2a91
+# Version (tag): v2.2.2-312-g61d3a33
 ---------------
- Parameter  Value                                                                                 
- config     /scratch_tmp/prj/oliverpainfel/tmp/config.yaml                                        
- continuous TRUE                                                                                  
- plink2     plink2                                                                                
- n_cores    1                                                                                     
- test       chr22                                                                                 
- memory     5000                                                                                  
- help       FALSE                                                                                 
- output     /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/ref_scoring
+ Parameter  Value                                                                             
+ config     /scratch/prj/oliverpainfel/tmp/config.yaml                                        
+ continuous TRUE                                                                              
+ plink2     plink2                                                                            
+ n_cores    1                                                                                 
+ test       chr22                                                                             
+ memory     5000                                                                              
+ help       FALSE                                                                             
+ output     /scratch/prj/oliverpainfel/tmp/genopred_test/reference/pgs_score_files/ref_scoring
 ---------------
-Analysis started at 2025-04-06 17:34:11
+Analysis started at 2025-07-16 12:46:59
 After checking timestamps, 3/3 score files will be used for reference scoring.
 ########################
 Processing chromosome 22:
 Aggregating score files in 1 batches.
 Aggregating batched score files.
 Adjusting PGS for ancestry.
-Analysis finished at 2025-04-06 17:34:14 
-Analysis duration was 3.2 secs 
+Analysis finished at 2025-07-16 12:47:03 
+Analysis duration was 4.62 secs 
diff --git a/pipeline/misc/dev/test_data/output/resources/last_version.txt b/pipeline/misc/dev/test_data/output/resources/last_version.txt
new file mode 100644
index 00000000..61618788
--- /dev/null
+++ b/pipeline/misc/dev/test_data/output/resources/last_version.txt
@@ -0,0 +1 @@
+2.2
\ No newline at end of file
diff --git a/pipeline/misc/dev/test_setup.Rmd b/pipeline/misc/dev/test_setup.Rmd
index 96425425..63cd8664 100644
--- a/pipeline/misc/dev/test_setup.Rmd
+++ b/pipeline/misc/dev/test_setup.Rmd
@@ -277,12 +277,21 @@ write.table(config, 'misc/dev/test_data/config/config.yaml', col.names = F, row.
 Generate the reference data within the latest GenoPred container to ensure perfect reproduction.
 
 ```{bash}
-
-singularity shell \
-  --bind /scratch_tmp/prj/oliverpainfel:/scratch_tmp/prj/oliverpainfel \
-  --writable-tmpfs \
+# Convert to sandbox to avoid disk space issues
+singularity build \
+  --sandbox /users/k1806347/oliverpainfel/Software/singularity/genopred_sandbox \
   /users/k1806347/oliverpainfel/Software/singularity/genopred_pipeline_latest.sif
   
+mkdir /users/k1806347/oliverpainfel/Software/singularity/genopred_sandbox/users
+mkdir -p /users/k1806347/oliverpainfel/Software/singularity/genopred_sandbox/scratch/prj/oliverpainfel
+
+singularity shell \
+  --bind /scratch/prj/oliverpainfel:/scratch/prj/oliverpainfel \
+  --writable \
+  --cleanenv \
+  --containall \
+  /users/k1806347/oliverpainfel/Software/singularity/genopred_sandbox
+
 # Activate env and pull latest version from dev
 source /opt/mambaforge/etc/profile.d/conda.sh
 conda activate genopred
@@ -291,17 +300,26 @@ git checkout dev
 git pull
 
 # Had to update the outdir to avoid device limit in container
-# Set outdir to /scratch_tmp/prj/oliverpainfel/tmp/genopred_test
+# Set outdir to /scratch/prj/oliverpainfel/tmp/genopred_test
+cp misc/dev/test_data/config/config.yaml /scratch/prj/oliverpainfel/tmp/config.yaml
+sed -i \
+  's|misc/dev/test_data/output|/scratch/prj/oliverpainfel/tmp/genopred_test|g' \
+  /scratch/prj/oliverpainfel/tmp/config.yaml
+sed -i \
+  's|misc/dev/test_data/config/config.yaml|/scratch/prj/oliverpainfel/tmp/config.yaml|g' \
+  /scratch/prj/oliverpainfel/tmp/config.yaml
+
 snakemake \
--j1 \
---use-conda \
-output_all \
-/scratch_tmp/prj/oliverpainfel/tmp/genopred_test/reference/target_checks/example_plink2/indiv_report-4_EAS.4_EAS-report.done \
---configfile=/scratch_tmp/prj/oliverpainfel/tmp/config.yaml
+  -j1 \
+  --use-conda \
+  output_all \
+  /scratch/prj/oliverpainfel/tmp/genopred_test/reference/target_checks/example_plink2/indiv_report-4_EAS.4_EAS-report.done \
+  --configfile=/scratch/prj/oliverpainfel/tmp/config.yaml
 
 # Move output outside the container so it can be pushed to the repo
-mkdir /scratch_tmp/prj/oliverpainfel/Software/MyGit/GenoPred/pipeline/misc/dev/test_data/output
-cp -r /scratch_tmp/prj/oliverpainfel/tmp/genopred_test/* /scratch_tmp/prj/oliverpainfel/Software/MyGit/GenoPred/pipeline/misc/dev/test_data/output/
+rm -r /scratch/prj/oliverpainfel/Software/MyGit/GenoPred/pipeline/misc/dev/test_data/output
+mkdir /scratch/prj/oliverpainfel/Software/MyGit/GenoPred/pipeline/misc/dev/test_data/output
+cp -r /scratch/prj/oliverpainfel/tmp/genopred_test/* /scratch/prj/oliverpainfel/Software/MyGit/GenoPred/pipeline/misc/dev/test_data/output/
 
 ```
 

From 61d0c69939d7817e732cd16a32668b8b69a993b8 Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Wed, 16 Jul 2025 13:09:22 +0100
Subject: [PATCH 10/11] Bug fix in container github action

---
 .github/workflows/build_deploy_container.yaml | 225 +++++++++---------
 1 file changed, 117 insertions(+), 108 deletions(-)

diff --git a/.github/workflows/build_deploy_container.yaml b/.github/workflows/build_deploy_container.yaml
index 3e445895..fd8bf4c6 100644
--- a/.github/workflows/build_deploy_container.yaml
+++ b/.github/workflows/build_deploy_container.yaml
@@ -1,108 +1,117 @@
-name: Build and Push Docker and Singularity Images
-
-on:
-  release:
-    types: [created]
-  workflow_dispatch:
-      inputs:
-        tag:
-          description: 'Tag for the release'
-          required: false
-          default: ''
-
-jobs:
-  build-and-deploy:
-    runs-on: ubuntu-latest
-
-    env:
-      DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
-      DOCKER_HUB_PASSWORD: ${{ secrets.DOCKER_HUB_PASSWORD }}
-      SINGULARITY_LIBRARY_TOKEN: ${{ secrets.SINGULARITY_LIBRARY_TOKEN }}
-      SIGNING_PRIVATE_KEY_BASE64: ${{ secrets.SIGNING_PRIVATE_KEY_BASE64 }}
-      SIGNING_PUBLIC_KEY_BASE64: ${{ secrets.SIGNING_PUBLIC_KEY_BASE64 }}
-      SIGNING_KEY_PASSWORD: ${{ secrets.SIGNING_KEY_PASSWORD }}
-      DOCKER_IMAGE_NAME: opaino/genopred_pipeline
-      SINGULARITY_IMAGE_NAME: library://opain/genopred/genopred_pipeline
-      IMAGE_TAG: ${{ github.ref_name }}
-      DOCKERFILE_PATH: pipeline/misc/docker/Dockerfile
-
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v2
-
-    - name: Export Secrets to Environment
-      run: |
-        echo "SINGULARITY_LIBRARY_TOKEN=${{ secrets.SINGULARITY_LIBRARY_TOKEN }}" >> $GITHUB_ENV
-
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v3
-
-    - name: Login to Docker Hub
-      run: echo "${{ secrets.DOCKER_HUB_PASSWORD }}" | docker login -u "${{ secrets.DOCKER_HUB_USERNAME }}" --password-stdin
-
-    - name: Set Tag
-      id: set_tag
-      run: |
-        if [ "${{ github.event_name }}" == "release" ]; then
-          echo "::set-output name=tag::${{ github.event.release.tag_name }}"
-        else
-          echo "::set-output name=tag::${{ github.event.inputs.tag || github.sha }}"
-        fi
-
-    - name: Set up Docker Buildx
-      run: |
-        docker buildx build --platform linux/amd64 -f $DOCKERFILE_PATH -t $DOCKER_IMAGE_NAME:latest -t $DOCKER_IMAGE_NAME:${{ steps.set_tag.outputs.tag }} --push .
-
-    - name: Setup Apptainer
-      uses: eWaterCycle/setup-apptainer@v2.0.0
-
-    - name: Convert Docker Image to Singularity SIF
-      run: |
-        apptainer pull image.sif docker://${DOCKER_IMAGE_NAME}:latest
-
-    - name: Install expect
-      run: |
-        sudo apt-get update
-        sudo apt-get install -y expect
-        
-    - name: Decode and Import Signing Keys
-      run: |
-        echo "${{ secrets.SIGNING_PRIVATE_KEY_BASE64 }}" | base64 --decode > private.key
-        echo "${{ secrets.SIGNING_PUBLIC_KEY_BASE64 }}" | base64 --decode > public.key
-        expect -c '
-        spawn apptainer key import private.key
-        expect "Enter your key passphrase : "
-        send -- "${{ secrets.SIGNING_KEY_PASSWORD }}\r"
-        expect eof
-        '
-        expect -c '
-        spawn apptainer key import public.key
-        expect "Enter your key passphrase : "
-        send -- "${{ secrets.SIGNING_KEY_PASSWORD }}\r"
-        expect eof
-        '
-    - name: Sign the Singularity Image
-      run: |
-        expect -c '
-        spawn apptainer sign image.sif
-        expect "Enter your key passphrase : "
-        send -- "${{ secrets.SIGNING_KEY_PASSWORD }}\r"
-        expect eof
-        '
-    - name: Create Token File
-      run: echo "${{ secrets.SINGULARITY_LIBRARY_TOKEN }}" > tokenfile
-
-    - name: Login to Singularity Library
-      run: |
-        apptainer remote add --no-login SylabsCloud cloud.sycloud.io
-        apptainer remote use SylabsCloud
-        apptainer remote login --tokenfile tokenfile
-
-    - name: Push Singularity Image to Singularity Library
-      run: |
-        apptainer push image.sif $SINGULARITY_IMAGE_NAME:latest
-
-    - name: Setup tmate session
-      if: ${{ failure() }}
-      uses: mxschmitt/action-tmate@v3
-      timeout-minutes: 60
+name: Build and Push Docker and Singularity Images
+
+on:
+  release:
+    types: [created]
+  workflow_dispatch:
+      inputs:
+        tag:
+          description: 'Tag for the release'
+          required: false
+          default: ''
+
+jobs:
+  build-and-deploy:
+    runs-on: ubuntu-latest
+
+    env:
+      DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
+      DOCKER_HUB_PASSWORD: ${{ secrets.DOCKER_HUB_PASSWORD }}
+      SINGULARITY_LIBRARY_TOKEN: ${{ secrets.SINGULARITY_LIBRARY_TOKEN }}
+      SIGNING_PRIVATE_KEY_BASE64: ${{ secrets.SIGNING_PRIVATE_KEY_BASE64 }}
+      SIGNING_PUBLIC_KEY_BASE64: ${{ secrets.SIGNING_PUBLIC_KEY_BASE64 }}
+      SIGNING_KEY_PASSWORD: ${{ secrets.SIGNING_KEY_PASSWORD }}
+      DOCKER_IMAGE_NAME: opaino/genopred_pipeline
+      SINGULARITY_IMAGE_NAME: library://opain/genopred/genopred_pipeline
+      IMAGE_TAG: ${{ github.ref_name }}
+      DOCKERFILE_PATH: pipeline/misc/docker/Dockerfile
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v2
+
+    - name: Export Secrets to Environment
+      run: |
+        echo "SINGULARITY_LIBRARY_TOKEN=${{ secrets.SINGULARITY_LIBRARY_TOKEN }}" >> $GITHUB_ENV
+
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v3
+
+    - name: Login to Docker Hub
+      run: echo "${{ secrets.DOCKER_HUB_PASSWORD }}" | docker login -u "${{ secrets.DOCKER_HUB_USERNAME }}" --password-stdin
+
+    - name: Set Tag
+      id: set_tag
+      run: |
+        if [ "${{ github.event_name }}" == "release" ]; then
+          echo "::set-output name=tag::${{ github.event.release.tag_name }}"
+        else
+          echo "::set-output name=tag::${{ github.event.inputs.tag || github.sha }}"
+        fi
+
+    - name: Set up Docker Buildx
+      run: |
+        docker buildx build --platform linux/amd64 -f $DOCKERFILE_PATH -t $DOCKER_IMAGE_NAME:latest -t $DOCKER_IMAGE_NAME:${{ steps.set_tag.outputs.tag }} --push .
+
+    - name: Setup Apptainer
+      uses: eWaterCycle/setup-apptainer@v2.0.0
+
+    - name: Configure Singularity temp directories
+      run: |
+        # create a temp area inside the GitHub runner's large temp folder
+        mkdir -p $RUNNER_TEMP/singularity
+        echo "SINGULARITY_TMPDIR=$RUNNER_TEMP/singularity" >> $GITHUB_ENV
+        # optional: keep a separate cache dir
+        mkdir -p $RUNNER_TEMP/singularity/cache
+        echo "SINGULARITY_CACHEDIR=$RUNNER_TEMP/singularity/cache" >> $GITHUB_ENV
+        
+    - name: Convert Docker Image to Singularity SIF
+      run: |
+        apptainer pull image.sif docker://${DOCKER_IMAGE_NAME}:latest
+
+    - name: Install expect
+      run: |
+        sudo apt-get update
+        sudo apt-get install -y expect
+        
+    - name: Decode and Import Signing Keys
+      run: |
+        echo "${{ secrets.SIGNING_PRIVATE_KEY_BASE64 }}" | base64 --decode > private.key
+        echo "${{ secrets.SIGNING_PUBLIC_KEY_BASE64 }}" | base64 --decode > public.key
+        expect -c '
+        spawn apptainer key import private.key
+        expect "Enter your key passphrase : "
+        send -- "${{ secrets.SIGNING_KEY_PASSWORD }}\r"
+        expect eof
+        '
+        expect -c '
+        spawn apptainer key import public.key
+        expect "Enter your key passphrase : "
+        send -- "${{ secrets.SIGNING_KEY_PASSWORD }}\r"
+        expect eof
+        '
+    - name: Sign the Singularity Image
+      run: |
+        expect -c '
+        spawn apptainer sign image.sif
+        expect "Enter your key passphrase : "
+        send -- "${{ secrets.SIGNING_KEY_PASSWORD }}\r"
+        expect eof
+        '
+    - name: Create Token File
+      run: echo "${{ secrets.SINGULARITY_LIBRARY_TOKEN }}" > tokenfile
+
+    - name: Login to Singularity Library
+      run: |
+        apptainer remote add --no-login SylabsCloud cloud.sycloud.io
+        apptainer remote use SylabsCloud
+        apptainer remote login --tokenfile tokenfile
+
+    - name: Push Singularity Image to Singularity Library
+      run: |
+        apptainer push image.sif $SINGULARITY_IMAGE_NAME:latest
+
+    - name: Setup tmate session
+      if: ${{ failure() }}
+      uses: mxschmitt/action-tmate@v3
+      timeout-minutes: 60

From 9ac862eb9f58f7106bce8d36cfc913330ba8f3a4 Mon Sep 17 00:00:00 2001
From: Ollie <olliepain@yahoo.com>
Date: Wed, 16 Jul 2025 14:35:16 +0100
Subject: [PATCH 11/11] Debugging container build action

---
 .github/workflows/build_deploy_container.yaml | 20 +++++++++++++------
 1 file changed, 14 insertions(+), 6 deletions(-)

diff --git a/.github/workflows/build_deploy_container.yaml b/.github/workflows/build_deploy_container.yaml
index fd8bf4c6..bfacac7e 100644
--- a/.github/workflows/build_deploy_container.yaml
+++ b/.github/workflows/build_deploy_container.yaml
@@ -49,10 +49,14 @@ jobs:
           echo "::set-output name=tag::${{ github.event.inputs.tag || github.sha }}"
         fi
 
-    - name: Set up Docker Buildx
-      run: |
-        docker buildx build --platform linux/amd64 -f $DOCKERFILE_PATH -t $DOCKER_IMAGE_NAME:latest -t $DOCKER_IMAGE_NAME:${{ steps.set_tag.outputs.tag }} --push .
+#    - name: Build docker container
+#      run: |
+#        docker buildx build --platform linux/amd64 -f $DOCKERFILE_PATH -t $DOCKER_IMAGE_NAME:latest -t $DOCKER_IMAGE_NAME:${{ steps.set_tag.outputs.tag }} --push .
 
+    - name: Clean up Docker build artifacts
+      run: |
+        docker system prune -af
+  
     - name: Setup Apptainer
       uses: eWaterCycle/setup-apptainer@v2.0.0
 
@@ -60,14 +64,18 @@ jobs:
       run: |
         # create a temp area inside the GitHub runner's large temp folder
         mkdir -p $RUNNER_TEMP/singularity
-        echo "SINGULARITY_TMPDIR=$RUNNER_TEMP/singularity" >> $GITHUB_ENV
+        echo "APPTAINER_TMPDIR=$RUNNER_TEMP/singularity" >> $GITHUB_ENV
         # optional: keep a separate cache dir
         mkdir -p $RUNNER_TEMP/singularity/cache
-        echo "SINGULARITY_CACHEDIR=$RUNNER_TEMP/singularity/cache" >> $GITHUB_ENV
+        echo "APPTAINER_CACHEDIR=$RUNNER_TEMP/singularity/cache" >> $GITHUB_ENV
         
+    - name: Check free space
+      run: |
+        df -h
+  
     - name: Convert Docker Image to Singularity SIF
       run: |
-        apptainer pull image.sif docker://${DOCKER_IMAGE_NAME}:latest
+        apptainer pull --disable-cache --tmpdir $RUNNER_TEMP/singularity image.sif docker://${DOCKER_IMAGE_NAME}:latest
 
     - name: Install expect
       run: |