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 in | Science (American Association for the Advancement of Science) Vol. 380; no. 6648; p. eabo1131 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
02.06.2023
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| Subjects | |
| Online Access | Get more information |
| ISSN | 1095-9203 |
| DOI | 10.1126/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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Petko P orcidid: 0000-0002-1572-4621 surname: Fiziev fullname: Fiziev, Petko P organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 2 givenname: Jeremy orcidid: 0000-0003-3411-9248 surname: McRae fullname: McRae, Jeremy organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 3 givenname: Jacob C orcidid: 0000-0002-7947-0827 surname: Ulirsch fullname: Ulirsch, Jacob C organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 4 givenname: Jacqueline S orcidid: 0000-0002-3045-6530 surname: Dron fullname: Dron, Jacqueline S organization: Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA – sequence: 5 givenname: Tobias surname: Hamp fullname: Hamp, Tobias organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 6 givenname: Yanshen surname: Yang fullname: Yang, Yanshen organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 7 givenname: Pierrick orcidid: 0000-0002-5203-6481 surname: Wainschtein fullname: Wainschtein, Pierrick organization: Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia – sequence: 8 givenname: Zijian orcidid: 0000-0003-1181-8337 surname: Ni fullname: Ni, Zijian organization: Department of Statistics, University of Wisconsin-Madison, Madison, WI 53706, USA – sequence: 9 givenname: Joshua G surname: Schraiber fullname: Schraiber, Joshua G organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 10 givenname: Hong orcidid: 0000-0001-6274-4513 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 – sequence: 12 givenname: Yair orcidid: 0000-0002-5327-1678 surname: Field fullname: Field, Yair organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 13 givenname: Francois orcidid: 0000-0001-9414-300X surname: Aguet fullname: Aguet, Francois organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 14 givenname: Marc surname: Fasnacht fullname: Fasnacht, Marc organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 15 givenname: Ahmed orcidid: 0000-0002-0155-7412 surname: Metwally fullname: Metwally, Ahmed organization: Artificial Intelligence Laboratory, Illumina, Inc., San Diego, CA 92122, USA – sequence: 16 givenname: Jeffrey orcidid: 0000-0002-7374-6490 surname: Rogers fullname: Rogers, Jeffrey organization: Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI 53715, USA – sequence: 17 givenname: Tomas orcidid: 0000-0002-5597-3075 surname: Marques-Bonet fullname: Marques-Bonet, Tomas organization: Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain – sequence: 18 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 – sequence: 19 givenname: Anne orcidid: 0000-0001-6418-9592 surname: O'Donnell-Luria fullname: O'Donnell-Luria, Anne organization: Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA – sequence: 20 givenname: Amit V orcidid: 0000-0001-6535-5839 surname: Khera fullname: Khera, Amit V organization: Verve Therapeutics, Cambridge, MA 02215, USA – sequence: 21 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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| References | 37205493 - medRxiv. 2023 May 08 |
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| 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 |
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