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Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants

  • Biobank Japan
  • , EPIC-CVD
  • , The CARDIoGRAMplusC4D Consortium
  • Massachusetts General Hospital
  • Broad Institute
  • Department of Public Health and Primary Care
  • University of Oxford Medical Sciences Division
  • University of Oxford
  • Barts and The London School of Medicine and Dentistry
  • University of Michigan Medical School
  • Harvard Medical School
  • College of Medicine
  • University of Lübeck
  • Partner Site Hamburg/Kiel/Lübeck
  • University of Oxford
  • RIKEN Center for Integrative Medical Sciences
  • Norwegian University of Science and Technology
  • St. Olavs Hospital
  • University of Texas School of Public Health
  • Harokopio University of Athens
  • deCODE genetics
  • University of Iceland
  • Deutsches Herzzentrum München
  • Icahn School of Medicine at Mount Sinai
  • Helmholtz Zentrum München
  • University Hospital
  • University of Bonn Medical Center

Research output: Contribution to journalArticlepeer-review

496 Scopus citations

Abstract

The discovery of genetic loci associated with complex diseases has outpaced the elucidation of mechanisms of disease pathogenesis. Here we conducted a genome-wide association study (GWAS) for coronary artery disease (CAD) comprising 181,522 cases among 1,165,690 participants of predominantly European ancestry. We detected 241 associations, including 30 new loci. Cross-ancestry meta-analysis with a Japanese GWAS yielded 38 additional new loci. We prioritized likely causal variants using functionally informed fine-mapping, yielding 42 associations with less than five variants in the 95% credible set. Similarity-based clustering suggested roles for early developmental processes, cell cycle signaling and vascular cell migration and proliferation in the pathogenesis of CAD. We prioritized 220 candidate causal genes, combining eight complementary approaches, including 123 supported by three or more approaches. Using CRISPR–Cas9, we experimentally validated the effect of an enhancer in MYO9B, which appears to mediate CAD risk by regulating vascular cell motility. Our analysis identifies and systematically characterizes >250 risk loci for CAD to inform experimental interrogation of putative causal mechanisms for CAD.

Original languageBritish English
Pages (from-to)1803-1815
Number of pages13
JournalNature Genetics
Volume54
Issue number12
DOIs
StatePublished - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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