graph-GPA 2.0: improving multi-disease genetic analysis with integration of functional annotation data

Genome-wide association studies (GWAS) have successfully identified a large number of genetic variants associated with traits and diseases. However, it still remains challenging to fully understand the functional mechanisms underlying many associated variants. This is especially the case when we are...

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Autori principali:	Qiaolan Deng, Arkobrato Gupta, Hyeongseon Jeon, Jin Hyun Nam, Ayse Selen Yilmaz, Won Chang, Maciej Pietrzak, Lang Li, Hang J. Kim, Dongjun Chung
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2023-07-01
Serie:	Frontiers in Genetics
Soggetti:	genome-wide association studies GWAS summary statistics complex traits genetic correlation functional annotation
Accesso online:	https://www.frontiersin.org/articles/10.3389/fgene.2023.1079198/full
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