Rare penetrant mutations confer severe risk of common diseases

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 indivi...

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Published inScience (American Association for the Advancement of Science) Vol. 380; no. 6648; p. eabo1131
Main Authors 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
Format Journal Article
LanguageEnglish
Published United States 02.06.2023
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Online AccessGet more information
ISSN1095-9203
DOI10.1126/science.abo1131

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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.
AbstractList 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.
Author Wainschtein, Pierrick
Yang, Yanshen
Rehm, Heidi L
O'Donnell-Luria, Anne
Field, Yair
Rogers, Jeffrey
Metwally, Ahmed
Fasnacht, Marc
Cable, Dylan
Dron, Jacqueline S
Ni, Zijian
Ulirsch, Jacob C
Gao, Hong
Hamp, Tobias
Aguet, Francois
Farh, Kyle Kai-How
McRae, Jeremy
Khera, Amit V
Schraiber, Joshua G
Marques-Bonet, Tomas
Fiziev, Petko P
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  surname: Dron
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  organization: Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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  organization: Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
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  organization: Department of Statistics, University of Wisconsin-Madison, Madison, WI 53706, USA
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  organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA
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  givenname: Hong
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  surname: Gao
  fullname: Gao, Hong
  organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA
– sequence: 11
  givenname: Dylan
  surname: Cable
  fullname: Cable, Dylan
  organization: Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02142, USA
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  givenname: Yair
  orcidid: 0000-0002-5327-1678
  surname: Field
  fullname: Field, Yair
  organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA
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  givenname: Francois
  orcidid: 0000-0001-9414-300X
  surname: Aguet
  fullname: Aguet, Francois
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  givenname: Ahmed
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  organization: Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI 53715, USA
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  givenname: Tomas
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  surname: Marques-Bonet
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  organization: Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
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  givenname: Heidi L
  orcidid: 0000-0002-6025-0015
  surname: Rehm
  fullname: Rehm, Heidi L
  organization: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
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  orcidid: 0000-0001-6418-9592
  surname: O'Donnell-Luria
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  organization: Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
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  organization: Verve Therapeutics, Cambridge, MA 02215, USA
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  givenname: Kyle Kai-How
  orcidid: 0000-0001-6947-8537
  surname: Farh
  fullname: Farh, Kyle Kai-How
  organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA
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Snippet 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...
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StartPage eabo1131
SubjectTerms Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Multifactorial Inheritance
Mutation
Penetrance
Phenotype
Risk Factors
Title Rare penetrant mutations confer severe risk of common diseases
URI https://www.ncbi.nlm.nih.gov/pubmed/37262146
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