Multiple independent mechanisms link gene polymorphisms in the region of ZEB2 with risk of coronary artery disease.

ABSTRACT:

Background and aims

Coronary artery disease (CAD) arises from the interaction of genetic and environmental factors. Although genome-wide association studies (GWAS) have identified multiple risk loci and single nucleotide polymorphisms (SNPs) associated with risk of CAD, they are predominantly located in non-coding or intergenic regions and their mechanisms of effect are largely unknown. Accordingly, our objective was to develop a data-driven informatics pipeline to understand complex CAD risk loci, and to apply this to a poorly understood cluster of SNPs in the vicinity of ZEB2.

Methods

We developed a unique informatics pipeline leveraging a multi-tissue CAD genetics-of-gene-expression dataset, GWAS datasets, and other resources. The pipeline first dissected SNP locations an

SUBMITTER: Ma L 

PROVIDER: S-EPMC7572841 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature