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Exploring penetrance of clinically relevant variants in over 800,000 humans from the Genome Aggregation Database

  • Sanna Gudmundsson*
  • , Moriel Singer-Berk
  • , Genome Aggregation Database Consortium
  • , Sarah L. Stenton
  • , Julia K. Goodrich
  • , Michael W. Wilson
  • , Jonah Einson
  • , Nicholas A. Watts
  • , Tuuli Lappalainen
  • , Heidi L. Rehm
  • , Daniel G. MacArthur
  • , Anne O’Donnell-Luria *
  • *Corresponding author for this work
  • Broad Institute of MIT and Harvard
  • Massachusetts General Hospital
  • Harvard University
  • KTH Royal Institute of Technology
  • New York Genome Center
  • Johns Hopkins University
  • Beth Israel Deaconess Medical Center
  • University of Oxford
  • University of Helsinki
  • Folkhalsan
  • University Medical Centre Groningen
  • Imperial College London
  • The University of Osaka
  • Hospital Universitari Institut Pere Mata
  • Hospital Universitari Sant Joan de Reus
  • Centro de Investigación Biomédica en Red (CIBER)
  • KU Leuven
  • University Hospitals Leuven
  • University of California at Irvine
  • Universidad Nacional Autónoma de México
  • Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
  • Hebrew University of Jerusalem
  • Helsinki University Central Hospital
  • University of California at San Diego
  • National University of Singapore
  • Harbor-UCLA Medical Center
  • Duke-NUS Graduate Medical School
  • National Institute for Health and Welfare
  • Karolinska Institutet
  • University of North Carolina at Chapel Hill
  • Washington University School of Medicine in St. Louis
  • Garvan Institute of Medical Research
  • UNSW Sydney
  • Murdoch Children's Research Institute
  • Boston Children's Hospital
  • Harvard Medical School

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)
8 Downloads (Pure)

Abstract

Incomplete penetrance, or absence of disease phenotype in an individual with a disease-associated variant, is a major challenge in variant interpretation. Studying individuals with apparent incomplete penetrance can shed light on underlying drivers of altered phenotype penetrance. Here, we investigate clinically relevant variants from ClinVar in 807,162 individuals from the Genome Aggregation Database (gnomAD), demonstrating improved representation in gnomAD version 4. We then conduct a comprehensive case-by-case assessment of 734 predicted loss of function variants in 77 genes associated with severe, early-onset, highly penetrant haploinsufficient disease. Here, we identify explanations for the presumed lack of disease manifestation in 701 of 734 variants (95%). Individuals with unexplained lack of disease manifestation in this set of disorders are rare, underscoring the need and power of deep case-by-case assessment presented here to minimize false assignments of disease risk, particularly in unaffected individuals with higher rates of secondary properties that result in rescue.

Original languageEnglish
Article number9623
JournalNature Communications
Volume16
Issue number1
DOIs
Publication statusPublished - 31 Oct 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

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