Integration of summary data from GWAS and eQTL studies identified novel risk genes for coronary artery disease.

ABSTRACT:

Abstract

Several genetic loci have been reported to be significantly associated with coronary artery disease (CAD) by multiple genome-wide association studies (GWAS). Nevertheless, the biological and functional effects of these genetic variants on CAD remain largely equivocal. In the current study, we performed an integrative genomics analysis by integrating large-scale GWAS data (N = 459,534) and 2 independent expression quantitative trait loci (eQTL) datasets (N = 1890) to determine whether CAD-associated risk single nucleotide polymorphisms (SNPs) exert regulatory effects on gene expression. By using Sherlock Bayesian, MAGMA gene-based, multidimensional scaling (MDS), functional enrichment, and in silico permutation analyses for independent technical and biological replications,

SUBMITTER: Zhong Y 

PROVIDER: S-EPMC7982177 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature