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Exploring penetrance of clinically relevant variants in over 800,000 humans from the Genome Aggregation Database
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA.ORCID iD: 0000-0002-2332-074x
Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA.ORCID iD: 0000-0003-4071-449X
Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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2025 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 16, no 1, article id 9623Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer Nature , 2025. Vol. 16, no 1, article id 9623
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Medical Genetics and Genomics Neurology
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URN: urn:nbn:se:kth:diva-373237DOI: 10.1038/s41467-025-61698-xISI: 001606917700005PubMedID: 41173899Scopus ID: 2-s2.0-105020652699OAI: oai:DiVA.org:kth-373237DiVA, id: diva2:2016346
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QC 20251125

Available from: 2025-11-25 Created: 2025-11-25 Last updated: 2025-11-25Bibliographically approved

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Gudmundsson, SannaLappalainen, Tuuli

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