INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

Abstract Genome-wide association studies reveal many non-coding variants associated with complex traits. However, model organism studies largely remain as an untapped resource for unveiling the effector genes of non-coding variants. We develop INFIMA, Integrative Fine-Mapping, to pinpoint causal SNP...

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Bibliographic Details
Main Authors:	Chenyang Dong, Shane P. Simonett, Sunyoung Shin, Donnie S. Stapleton, Kathryn L. Schueler, Gary A. Churchill, Leina Lu, Xiaoxiao Liu, Fulai Jin, Yan Li, Alan D. Attie, Mark P. Keller, Sündüz Keleş
Format:	Article
Language:	English
Published:	BMC 2021-08-01
Series:	Genome Biology
Subjects:	Fine-mapping Molecular quantitative trait loci Genome-wide association studies Pancreatic islets Diversity outbred mouse ATAC-seq
Online Access:	https://doi.org/10.1186/s13059-021-02450-8

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