Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits
Abstract
The identification of genes and regulatory elements underlying the associations discovered by GWAS is essential to understanding the aetiology of complex traits (including diseases). Here, we demonstrate an analytical paradigm of prioritizing genes and regulatory elements at GWAS loci for follow-up functional studies. We perform an integrative analysis that uses summary-level SNP data from multi-omics studies to detect DNA methylation (DNAm)...
Paper Details
Title
Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits
Published Date
Mar 2, 2018
Journal
Volume
9
Issue
1
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