Genetics of coronary artery disease in the light of genome-wide association studies

Heribert Schunkert, Moritz von Scheidt, Thorsten Kessler, Barbara Stiller, Lingyao Zeng, Baiba Vilne

Research output: Contribution to journalReview articlepeer-review

45 Citations (Scopus)

Abstract

As clinicians, we understand the development of atherosclerosis as a consequence of cholesterol deposition and inflammation in the arterial wall, both being triggered by traditional risk factors such as hypertension, hyperlipidaemia or diabetes mellitus. Another risk factor is genetic predisposition, as indicated by the predictive value of a positive family history. However, we had to wait until recently to appreciate the abundant contribution of genetic variation to the manifestation of atherosclerosis. Indeed, by now 164 chromosomal loci have been identified by genome-wide association studies (GWAS) to affect the risk of coronary artery disease. By design, practically all risk variants discovered by GWAS are frequently found in our population, resulting in the fact that principally every Western European individual carries between 130 and 190 risk alleles at the known, genome-wide significant loci (there are 0, 1, or 2 risk alleles per locus). One can assume that it is this widespread disposition that makes mankind susceptible to the detrimental effects of lifestyle factors, which likewise increase the risk of atherosclerosis. In this review, we summarize the recent genetic discoveries and attempt to group the multiple genetic risk variants in functional groups that may become actionable from a preventive or therapeutic perspective.

Original languageEnglish
Pages (from-to)S2-S9
Number of pages8
JournalClinical Research in Cardiology
Volume107
Issue numberSuppl. 2
DOIs
Publication statusPublished - 1 Aug 2018
Externally publishedYes

Keywords*

  • Atherosclerosis
  • Coronary artery disease
  • Genetics
  • Genome-wide association studies
  • Post-GWAS

Field of Science*

  • 3.1 Basic medicine
  • 3.2 Clinical medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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