Gene scanning and heart attack risk

Andreas S. Barth, Gordon F. Tomaselli

Research output: Contribution to journalReview article

10 Citations (Scopus)

Abstract

Coronary heart disease remains the leading cause of death in the Western World. The advent of microarray and next-generation sequencing technologies has generated multi-dimensional data sets, allowing for new pathophysiological insights into this complex disease. To date, genome-wide association studies (GWAS) have identified 152 associated loci and 320 candidate genes, contributing to the genetic risk of coronary artery disease (CAD) and acute myocardial infarction (AMI). The majority of single nucleotide polymorphisms (SNPs) mediate their risk by unknown mechanisms. A functional analysis based on Gene Ontology and KEGG pathways of candidate genes that are associated with CAD/AMI-SNPs showed the strongest evidence for genes regulating cholesterol metabolism. Additional clusters were significantly enriched for pathways, which play prominent roles during AMI and the development of atherosclerotic plaques in vascular tissue, including focal adhesion/extracellular matrix interaction, TGF-β signaling, apoptosis, regulation of vascular smooth muscle contraction, angiogenesis, calcium ion binding, and transcription factors. A systems genetics approach, which incorporates genetic risk with gene expression data, metabolomic data, and protein biochemistry into genome-wide network studies, holds promise to elucidate the complex interplay between genetic risk and environmental factors for coronary artery disease.

Original languageEnglish (US)
Pages (from-to)260-265
Number of pages6
JournalTrends in Cardiovascular Medicine
Volume26
Issue number3
DOIs
StatePublished - Apr 1 2016
Externally publishedYes

Fingerprint

Myocardial Infarction
Single Nucleotide Polymorphism
Coronary Artery Disease
Genes
Western World
Gene Ontology
Focal Adhesions
Metabolomics
Genome-Wide Association Study
Atherosclerotic Plaques
Muscle Contraction
Vascular Smooth Muscle
Biochemistry
Extracellular Matrix
Coronary Disease
Blood Vessels
Cause of Death
Transcription Factors
Cholesterol
Genome

Keywords

  • Coronary artery disease
  • Functional genomics
  • Gene
  • Genome-wide association studies

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Gene scanning and heart attack risk. / Barth, Andreas S.; Tomaselli, Gordon F.

In: Trends in Cardiovascular Medicine, Vol. 26, No. 3, 01.04.2016, p. 260-265.

Research output: Contribution to journalReview article

Barth, Andreas S. ; Tomaselli, Gordon F. / Gene scanning and heart attack risk. In: Trends in Cardiovascular Medicine. 2016 ; Vol. 26, No. 3. pp. 260-265.
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