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Exploring penetrance of clinically relevant variants in over 800,000 humans from the Genome Aggregation Database.
Gudmundsson, Sanna; Singer-Berk, Moriel; Stenton, Sarah L; Goodrich, Julia K; Wilson, Michael W; Einson, Jonah; Watts, Nicholas A; Lappalainen, Tuuli; Rehm, Heidi L; MacArthur, Daniel G; O'Donnell-Luria, Anne.
Affiliation
  • Gudmundsson S; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Singer-Berk M; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
  • Stenton SL; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
  • Goodrich JK; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Wilson MW; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Einson J; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Watts NA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
  • Lappalainen T; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Rehm HL; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • MacArthur DG; New York Genome Center, New York, NY, USA.
  • O'Donnell-Luria A; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
bioRxiv ; 2024 Jun 13.
Article in En | MEDLINE | ID: mdl-38915639
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos