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Tools for detection of variants in near-coding regions #9

@fulyataylan

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@fulyataylan

Hi!

I am opening my previous ticket again! Once more I listened to some talks in ESHG Vienna and I believe we should have these tools implemented in our analysis pipelines.

As I mentioned previously, I found it very interesting and it is worth trying. Below you can find their GitHub page and publications.

https://github.com/ImperialCardioGenetics/UTRannotator

About the role of 5'UTR variants in human genetic disease:

Whiffin, N., Karczewski, K.J., Zhang, X. et al. Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals. Nat Commun 11, 2523 (2020). https://doi.org/10.1038/s41467-019-10717-9

About UTRannotator:

Annotating high-impact 5'untranslated region variants with the UTRannotator Zhang, X., Wakeling, M.N., Ware, J.S, Whiffin, N. Bioinformatics; doi: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btaa783/5905476

Other tools that are useful if still not in use:
SpliceAI: https://github.com/Illumina/SpliceAI

This is super interesting and should be added to the pipeline:
https://github.com/edg1983/GREEN-VARAN

Probably a useful tool for SV analysis and visualization:
https://github.com/Oxford-Eye/SVRare-db
https://github.com/Oxford-Eye/SVRare-js
https://github.com/Oxford-Eye/SVRare-GEL

To detect splicing variants:
https://github.com/jpaggi/labranchor

These are the tools that are mainly used in Genomics England and presented at ESHG this year.

Kind regards,
Fulya

Fulya Taylan
KI, Rare Diseases

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