Cited by 175Genomic variations and chromosomal abnormalitiesGenetic Associations and EpidemiologyGenome Rearrangement Algorithms

Medical consequences of pathogenic CNVs in adults: analysis of the UK Biobank

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Crawford, Karen, Bracher-Smith, Matthew, Owen, David, Kendall, Kimberley M, Rees, Elliott, Pardiñas, Antonio F, Einon, Mark, Escott-Price, Valentina +4 more·2019·Journal of Medical Genetics

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Abstract

Background: Genomic CNVs increase the risk for early-onset neurodevelopmental disorders, but their impact on medical outcomes in later life is still poorly understood. The UK Biobank allows us to study the medical consequences of CNVs in middle and old age in half a million well-phenotyped adults. Methods: We analysed all Biobank participants for the presence of 54 CNVs associated with genomic disorders or clinical phenotypes, including their reciprocal deletions or duplications. After array quality control and exclusion of first-degree relatives, we compared 381 452 participants of white British or Irish origin who carried no CNVs with carriers of each of the 54 CNVs (ranging from 5 to 2843 persons). We used logistic regression analysis to estimate the risk of developing 58 common medical phenotypes (3132 comparisons). Results and conclusions: Many of the CNVs have profound effects on medical health and mortality, even in people who have largely escaped early neurodevelopmental outcomes. Forty-six CNV–phenotype associations were significant at a false discovery rate threshold of 0.1, all in the direction of increased risk. Known medical consequences of CNVs were confirmed, but most identified associations are novel. Deletions at 16p11.2 and 16p12.1 had the largest numbers of significantly associated phenotypes (seven each). Diabetes, hypertension, obesity and renal failure were affected by the highest numbers of CNVs. Our work should inform clinicians in planning and managing the medical care of CNV carriers.

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  • 16p11.2 deletions are present at higher-than-expected rates in obese individuals and are more prevalent in developmental delay patients with obesity than those without obesity.

    “16p11.2 deletions are present at higher-than-expected rates in obese individuals [31], and are more prevalent in developmental delay (DD) patients with obesity than those without obesity [20].”

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Authors
Crawford, K., Bracher-Smith, M., Owen, D., Kendall, K. M., Rees, E., Pardiñas, A. F., Einon, M., Escott-Price, V., Walters, J. T. R., O’Donovan, M. C., Owen, M. J., & Kirov, G.
Affiliations
  • Cardiff University (GB)
  • MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
Corresponding author
Kirov, George
Venue
Journal of Medical Genetics
Publisher
BMJ
Published
2018-10-20
Volume
56
Issue
3
Pages
131-138
ISSN
  • 0022-2593 (ISSN-L)
  • 1468-6244
OpenAlex
W2793106985
Cited by
175
References
21
Citations by year
2026: 15 · 2025: 16 · 2024: 37 · 2023: 22 · 2022: 28 · 2021: 21 · 2020: 20 · 2019: 12 · 2018: 1 · 2012: 1
FWCI
8.28
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Journal of Medical Genetics (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
  • HighWire Press Open Archive (submittedVersion)
Funders
Medical Research Council
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
Keywords
copy number variation, pathogenic CNVs, adult health outcomes, mortality, 16p11.2 deletion, diabetes mellitus, hypertension, obesity, renal failure, genomic disorders
MeSH terms
Adult, Aged, Female, Genotype, United Kingdom, Humans, Male, Middle Aged, Phenotype, Population Surveillance, Quality Control, Odds Ratio, Biological Specimen Banks, DNA Copy Number Variations, Neurodevelopmental Disorders

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