Primo: integration of multiple GWAS and omics QTL summary statistics for elucidation of molecular mechanisms of trait-associated SNPs and detection of pleiotropy in complex traits

被引：0
作者：
Kevin J. Gleason
Fan Yang
Brandon L. Pierce
Xin He
Lin S. Chen
机构：
[1] Department of Public Health Sciences,
[2] University of Chicago,undefined
[3] Department of Biostatistics and Informatics,undefined
[4] Colorado School of Public Health,undefined
[5] University of Colorado Anschutz Medical Campus,undefined
[6] Department of Human Genetics,undefined
[7] University of Chicago,undefined
来源：
Genome Biology | / 21卷
关键词：
Integrative genomics; Multi-omics; GWAS; Omics QTL; Molecular mechanisms; Conditional association analysis; Pleiotropy;
D O I：
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摘要：
To provide a comprehensive mechanistic interpretation of how known trait-associated SNPs affect complex traits, we propose a method, Primo, for integrative analysis of GWAS summary statistics with multiple sets of omics QTL summary statistics from different cellular conditions or studies. Primo examines association patterns of SNPs to complex and omics traits. In gene regions harboring known susceptibility loci, Primo performs conditional association analysis to account for linkage disequilibrium. Primo allows for unknown study heterogeneity and sample correlations. We show two applications using Primo to examine the molecular mechanisms of known susceptibility loci and to detect and interpret pleiotropic effects.
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