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Rare penetrant mutations confer severe risk of common diseases.
Fiziev, Petko P; McRae, Jeremy; Ulirsch, Jacob C; Dron, Jacqueline S; Hamp, Tobias; Yang, Yanshen; Wainschtein, Pierrick; Ni, Zijian; Schraiber, Joshua G; Gao, Hong; Cable, Dylan; Field, Yair; Aguet, Francois; Fasnacht, Marc; Metwally, Ahmed; Rogers, Jeffrey; Marques-Bonet, Tomas; Rehm, Heidi L; O'Donnell-Luria, Anne; Khera, Amit V; Farh, Kyle Kai-How.
Afiliación
  • Fiziev PP; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • McRae J; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Ulirsch JC; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Dron JS; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Hamp T; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Yang Y; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Wainschtein P; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Ni Z; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Schraiber JG; Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.
  • Gao H; Department of Statistics, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Cable D; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Field Y; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Aguet F; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02142, USA.
  • Fasnacht M; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Metwally A; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Rogers J; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Marques-Bonet T; Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA.
  • Rehm HL; Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • O'Donnell-Luria A; Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI 53715, USA.
  • Khera AV; Institute of Evolutionary Biology (UPF-CSIC), 08003 Barcelona, Spain.
  • Farh KK; Catalan Institution of Research and Advanced Studies (ICREA), 08010 Barcelona, Spain.
Science ; 380(6648): eabo1131, 2023 06 02.
Article en En | MEDLINE | ID: mdl-37262146
ABSTRACT
We examined 454,712 exomes for genes associated with a wide spectrum of complex traits and common diseases and observed that rare, penetrant mutations in genes implicated by genome-wide association studies confer ~10-fold larger effects than common variants in the same genes. Consequently, an individual at the phenotypic extreme and at the greatest risk for severe, early-onset disease is better identified by a few rare penetrant variants than by the collective action of many common variants with weak effects. By combining rare variants across phenotype-associated genes into a unified genetic risk model, we demonstrate superior portability across diverse global populations compared with common-variant polygenic risk scores, greatly improving the clinical utility of genetic-based risk prediction.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Penetrancia / Predisposición Genética a la Enfermedad / Herencia Multifactorial Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Science Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Penetrancia / Predisposición Genética a la Enfermedad / Herencia Multifactorial Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Science Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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