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Genome sequencing unveils a regulatory landscape of platelet reactivity

  • NHLBI Trans-Omics for Precision (TOPMed) Consortium
  • Johns Hopkins University
  • National Institutes of Health
  • Framingham Heart Study
  • Valo Health, Inc.
  • Boston Children's Hospital
  • University of Maryland, Baltimore
  • University of Washington
  • Vanderbilt University
  • New York Genome Cente
  • University of Michigan, Ann Arbor
  • The Broad Institute of MIT and Harvard
  • Cedars Sinai
  • Children's Hospital of Philadelphia
  • Emory University
  • University of Mississippi
  • University of Kentucky
  • Duke University
  • University of Alabama at Birmingham
  • Stanford University
  • University of Wisconsin-Milwaukee
  • Providence Health Care Canada
  • Baylor College of Medicine
  • Cleveland Clinic Foundation
  • University of Colorado Anschutz Medical Campus
  • Columbia University
  • The EMMES Corporation
  • Boston University
  • University of Pittsburgh
  • Fundação de Hematologia e Hemoterapia de Pernambuco—Hemope
  • University of Texas Rio Grande Valley
  • University of Texas Health Science Center at Houston

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Platelet aggregation at the site of atherosclerotic vascular injury is the underlying pathophysiology of myocardial infarction and stroke. To build upon prior GWAS, here we report on 16 loci identified through a whole genome sequencing (WGS) approach in 3,855 NHLBI Trans-Omics for Precision Medicine (TOPMed) participants deeply phenotyped for platelet aggregation. We identify the RGS18 locus, which encodes a myeloerythroid lineage-specific regulator of G-protein signaling that co-localizes with expression quantitative trait loci (eQTL) signatures for RGS18 expression in platelets. Gene-based approaches implicate the SVEP1 gene, a known contributor of coronary artery disease risk. Sentinel variants at RGS18 and PEAR1 are associated with thrombosis risk and increased gastrointestinal bleeding risk, respectively. Our WGS findings add to previously identified GWAS loci, provide insights regarding the mechanism(s) by which genetics may influence cardiovascular disease risk, and underscore the importance of rare variant and regulatory approaches to identifying loci contributing to complex phenotypes.

Original languageEnglish
Article number3626
JournalNature Communications
Volume12
Issue number1
DOIs
StatePublished - Dec 1 2021

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