Nature Communications (Aug 2022)

Endophenotype effect sizes support variant pathogenicity in monogenic disease susceptibility genes

  • Jennifer L. Halford,
  • Valerie N. Morrill,
  • Seung Hoan Choi,
  • Sean J. Jurgens,
  • Giorgio Melloni,
  • Nicholas A. Marston,
  • Lu-Chen Weng,
  • Victor Nauffal,
  • Amelia W. Hall,
  • Sophia Gunn,
  • Christina A. Austin-Tse,
  • James P. Pirruccello,
  • Shaan Khurshid,
  • Heidi L. Rehm,
  • Emelia J. Benjamin,
  • Eric Boerwinkle,
  • Jennifer A. Brody,
  • Adolfo Correa,
  • Brandon K. Fornwalt,
  • Namrata Gupta,
  • Christopher M. Haggerty,
  • Stephanie Harris,
  • Susan R. Heckbert,
  • Charles C. Hong,
  • Charles Kooperberg,
  • Henry J. Lin,
  • Ruth J. F. Loos,
  • Braxton D. Mitchell,
  • Alanna C. Morrison,
  • Wendy Post,
  • Bruce M. Psaty,
  • Susan Redline,
  • Kenneth M. Rice,
  • Stephen S. Rich,
  • Jerome I. Rotter,
  • Peter F. Schnatz,
  • Elsayed Z. Soliman,
  • Nona Sotoodehnia,
  • Eugene K. Wong,
  • NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium,
  • Marc S. Sabatine,
  • Christian T. Ruff,
  • Kathryn L. Lunetta,
  • Patrick T. Ellinor,
  • Steven A. Lubitz

DOI
https://doi.org/10.1038/s41467-022-32009-5
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Accurate classification of genetic variants is critical for research and patient care. Here, the authors report that population-based associations between rare variants and quantitative endophenotypes for monogenic diseases can provide support for variant pathogenicity.