4.7 Review

Genetics of coronary artery disease in the post-GWAS era

Journal

JOURNAL OF INTERNAL MEDICINE
Volume 290, Issue 5, Pages 980-992

Publisher

WILEY
DOI: 10.1111/joim.13362

Keywords

genome-wide association study; coronary artery disease; Mendelian randomization; systems genetics; polygenic risk score; precision medicine

Funding

  1. Foundation Leducq [12CVD02, 18CVD02]
  2. European Union [HEALTH-F2-2013-601456]
  3. ERA-NET [01KL1802]
  4. Federal German Ministries [01ZX1706C, 16GW0198K, ZF4590201BA8]
  5. DFG as part of the Sonderforschungsbereich [CRC 1123, TRR 267]
  6. DigiMed Bayern project [DBM1805-0001]

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Over the past decade, genome-wide association studies (GWAS) have significantly expanded our understanding of the genetics of coronary artery disease (CAD). These studies have led to unprecedented discoveries in CAD research, from low-frequency variants to polygenic risk, marking a new era in the field.
During the past decade, genome-wide association studies (GWAS) have transformed our understanding of many heritable traits. Three recent large-scale GWAS meta-analyses now further markedly expand the knowledge on coronary artery disease (CAD) genetics in doubling the number of loci with genome-wide significant signals. Here, we review the unprecedented discoveries of CAD GWAS on low-frequency variants, underrepresented populations, sex differences and integrated polygenic risk. We present the milestones of CAD GWAS and post-GWAS studies from 2007 to 2021, and the trend in identification of variants with smaller odds ratio by year due to the increasing sample size. We compile the 321 CAD loci discovered thus far and classify candidate genes as well as distinct functional pathways on the road to indepth biological investigation and identification of novel treatment targets. We draw attention to systems genetics in integrating these loci into gene regulatory networks within and across tissues. We review the traits, biomarkers and diseases scrutinized by Mendelian randomization studies for CAD. Finally, we discuss the potentials and concerns of polygenic scores in predicting CAD risk in patient care as well as future directions of GWAS and post-GWAS studies in the field of precision medicine.

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