Nature CommunicationsGenomicsPeer-reviewed journal article
Exploring penetrance of clinically relevant variants in over 800,000 humans from the Genome Aggregation Database
Sanna GudmundssoniD, Moriel Singer‐BerkiD, Sarah L. StentoniD, Julia K. GoodrichiD, Michael W. WilsoniD, Jonah E. EinsoniD, Nicholas A. Watts, Maria Teresa AbreuiD, Amina A AbubakariD, Rolf AdolfssoniD, Carlos Alberto Aguilar-SalinasiD, Tariq AhmadiD, Christine M. AlbertiD, Jessica AlföldiiD, Matthieu AlleziD, Celso Arango López, Diego ArdissinoiD, Irina M. ArmeaniD, Elizabeth G. AtkinsoniD, Gil AtzmoniD, Eric BanksiD, John BarnardiD, Samantha M. BaxteriD, Laurent BeaugerieiD, David I. Benjamin, , Fernando S. GoesiD
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 (pLoF) in 77 genes associated with severe, early-onset, highly penetrant haploinsufficient disease. We identified explanations for the presumed lack of disease manifestation in 701 of the variants (95%). Individuals with unexplained lack of disease manifestation in this set of disorders rarely occur, 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.
- organism: human
- assay: whole-exome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 30
- FWCI
- 14.59
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Reduced Penetrance is Common Among Predicted Loss-of-Function Variants and is Likely Driven by Residual Allelic Activity
David R. Blair, NEIL J. RISCH·medRxiv·Sep 23, 2024
- Clustering of predicted loss-of-function variants in genes linked with monogenic disease can explain incomplete penetrance
Robin N. Beaumont, Gareth Hawkes, … Caroline Fiona Wright·Genome MedicinePeer-reviewed·Apr 26, 2024
- Ancestrally and Temporally Diverse Analysis of Penetrance of Clinical Variants in 72,434 Individuals
Iain S. Forrest, Kumardeep Chaudhary, … Ron Do·medRxiv·Mar 11, 2021
- Advanced variant classification framework reduces the false positive rate of predicted loss of function (pLoF) variants in population sequencing data
Moriel Singer‐Berk, Sanna Gudmundsson, … Anne O’Donnell‐Luria·The American Journal of Human GeneticsPeer-reviewed·Aug 25, 2023
- Assessing the pathogenicity, penetrance and expressivity of putative disease-causing variants in a population setting
Caroline Fiona Wright, Ben West, … Michael N. Weedon·The American Journal of Human GeneticsPeer-reviewed·Jan 18, 2019
- Systematic evaluation of incomplete penetrance in 4,325 rare disease families reveals divergent transcriptional networks in CHD8 pathology
Mugdha Singh, Sarah L. Stenton, … Sanna Gudmundsson·medRxiv·Oct 7, 2026