Integromic analysis of genetic variation and gene expression identifies networks for cardiovascular disease phenotypes.

ABSTRACT:

Background

Cardiovascular disease (CVD) reflects a highly coordinated complex of traits. Although genome-wide association studies have reported numerous single nucleotide polymorphisms (SNPs) to be associated with CVD, the role of most of these variants in disease processes remains unknown.

Methods and results

We built a CVD network using 1512 SNPs associated with 21 CVD traits in genome-wide association studies (at P≤5×10(-8)) and cross-linked different traits by virtue of their shared SNP associations. We then explored whole blood gene expression in relation to these SNPs in 5257 participants in the Framingham Heart Study. At a false discovery rate <0.05, we identified 370 cis-expression quantitative trait loci (eQTLs; SNPs associated with altered expression of nearby gene

SUBMITTER: Yao C 

PROVIDER: S-EPMC4369387 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature