Prediction of Causal Candidate Genes in Coronary Artery Disease Loci.

ABSTRACT:

Objective

Genome-wide association studies have to date identified 159 significant and suggestive loci for coronary artery disease (CAD). We now report comprehensive bioinformatics analyses of sequence variation in these loci to predict candidate causal genes.

Approach and results

All annotated genes in the loci were evaluated with respect to protein-coding single-nucleotide polymorphism and gene expression parameters. The latter included expression quantitative trait loci, tissue specificity, and miRNA binding. High priority candidate genes were further identified based on literature searches and our experimental data. We conclude that the great majority of causal variations affecting CAD risk occur in noncoding regions, with 41% affecting gene expression robustly versus 6%

SUBMITTER: Brænne I 

PROVIDER: S-EPMC4583353 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature