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

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

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

  • Publication Type: Article / Article
  • Volume: 131 Issue: 6
  • Publication Date: 2015
  • Doi Number: 10.1161/circulationaha.114.010696
  • Title of Journal : CIRCULATION
  • 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

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.