Integromic Analysis of Genetic Variation and Gene Expression Identifies Networks for Cardiovascular Disease Phenotypes


Creative Commons License

Yao C., Chen B. H., Joehanes R., Otlu B., Zhang X., Liu C., ...More

CIRCULATION, vol.131, no.6, pp.536-746, 2015 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 131 Issue: 6
  • Publication Date: 2015
  • Doi Number: 10.1161/circulationaha.114.010696
  • Journal Name: CIRCULATION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.536-746
  • Keywords: cardiovascular disease, gene expression/regulation network, genetic variation, GENOME-WIDE ASSOCIATION, CORONARY-HEART-DISEASE, SMOKING-BEHAVIOR, LOCI, VARIANTS, RISK, CYTOSCAPE, DISCOVERY, TRAITS, MODELS
  • Middle East Technical University Affiliated: Yes

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.