Literature DB >> 31353025

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

Matthew Aguirre1, Manuel A Rivas2, James Priest3.   

Abstract

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

Entities:  

Keywords:  UK Biobank; association testing; copy number variation; genetics; genomics; microdeletion/microduplication syndrome; population database; selection bias; structural variation

Mesh:

Year:  2019        PMID: 31353025      PMCID: PMC6699064          DOI: 10.1016/j.ajhg.2019.07.001

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


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