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

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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Bibliographic Details
Main Authors: Qiaolan Deng, Arkobrato Gupta, Hyeongseon Jeon, Jin Hyun Nam, Ayse Selen Yilmaz, Won Chang, Maciej Pietrzak, Lang Li, Hang J. Kim, Dongjun Chung
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Genetics
Subjects:
genome-wide association studies
GWAS summary statistics
complex traits
genetic correlation
functional annotation
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1079198/full

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