Phenome-wide Burden of Copy-Number Variation in the UK Biobank.


Journal

American journal of human genetics
ISSN: 1537-6605
Titre abrégé: Am J Hum Genet
Pays: United States
ID NLM: 0370475

Informations de publication

Date de publication:
01 08 2019
Historique:
received: 06 03 2019
accepted: 28 06 2019
pubmed: 30 7 2019
medline: 17 3 2020
entrez: 30 7 2019
Statut: ppublish

Résumé

Copy-number variations (CNVs) represent a significant proportion of the genetic differences between individuals and many CNVs associate causally with syndromic disease and clinical outcomes. Here, we characterize the landscape of copy-number variation and their phenome-wide effects in a sample of 472,228 array-genotyped individuals from the UK Biobank. In addition to population-level selection effects against genic loci conferring high mortality, we describe genetic burden from potentially pathogenic and previously uncharacterized CNV loci across more than 3,000 quantitative and dichotomous traits, with separate analyses for common and rare classes of variation. Specifically, we highlight the effects of CNVs at two well-known syndromic loci 16p11.2 and 22q11.2, previously uncharacterized variation at 9p23, and several genic associations in the context of acute coronary artery disease and high body mass index. Our data constitute a deeply contextualized portrait of population-wide burden of copy-number variation, as well as a series of dosage-mediated genic associations across the medical phenome.

Identifiants

pubmed: 31353025
pii: S0002-9297(19)30264-2
doi: 10.1016/j.ajhg.2019.07.001
pmc: PMC6699064
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

373-383

Subventions

Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Organisme : NHGRI NIH HHS
ID : R01 HG010140
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG009080
Pays : United States

Informations de copyright

Copyright © 2019 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

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Auteurs

Matthew Aguirre (M)

Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94305, USA.

Manuel A Rivas (MA)

Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA 94305, USA.

James Priest (J)

Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94305, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94035, USA. Electronic address: jpriest@stanford.edu.

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Classifications MeSH