Cited by 171Schizophrenia research and treatmentGenomic variations and chromosomal abnormalitiesGenetic Associations and Epidemiology

Joint Contributions of Rare Copy Number Variants and Common SNPs to Risk for Schizophrenia

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Bergen, Sarah E., Ploner, Alexander, Howrigan, Daniel, CNV Analysis Group and the Schizophrenia Working Group of the Psychiatric Genomics Consortium, O’Donovan, Michael C., Smoller, Jordan W., Sullivan, Patrick F., Sebat, Jonathan +2 more·2019·American Journal of Psychiatry

Abstract

OBJECTIVE: Both rare copy number variants (CNVs) and common single-nucleotide polymorphisms (SNPs) contribute to liability to schizophrenia, but their etiological relationship has not been fully elucidated. The authors evaluated an additive model whereby risk of schizophrenia requires less contribution from common SNPs in the presence of a rare CNV, and tested for interactions. METHOD: Genetic data from 21,094 case subjects with schizophrenia and 20,227 control subjects from the Psychiatric Genomics Consortium were examined. Three classes of rare CNVs were assessed: CNVs previously associated with schizophrenia, CNVs with large deletions ≥500 kb, and total CNV burden. The mean polygenic risk scores (PRSs) between study subjects with and without rare CNVs were compared, and joint effects of PRS and CNVs on schizophrenia liability were modeled by using logistic regression. RESULTS: Schizophrenia case subjects carrying risk CNVs had a lower polygenic risk than case subjects without risk CNVs but a higher risk than control subjects. For case subjects carrying known risk CNVs, the PRS was diminished in proportion to the effect size of the CNV. The strongly associated 22q11.2 deletion required little added PRS to produce schizophrenia. Large deletions and increased CNV burden were also associated with lower polygenic risk in schizophrenia case subjects but not in control subjects or after removal of known risk CNV carriers. CONCLUSIONS: The authors found evidence for interactive effects of PRS and previously associated CNVs for risk for schizophrenia, and the results for large deletions and total CNV burden support an additive model. These findings offer insights into the genetic architecture of schizophrenia by illuminating how different established genetic risk factors act and interact to influence liability to schizophrenia.

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Authors
Bergen, S. E., Ploner, A., Howrigan, D., CNV Analysis Group and the Schizophrenia Working Group of the Psychiatric Genomics Consortium, O’Donovan, M. C., Smoller, J. W., Sullivan, P. F., Sebat, J., Neale, B., & Kendler, K. S.
Affiliations
Broad Institute (US)
Venue
American Journal of Psychiatry
Published
2019-01-01
Volume
176
Issue
1
Pages
29-35
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W2899975029
Cited by
171
References
17
Citations by year
2026: 21 · 2025: 19 · 2024: 32 · 2023: 16 · 2022: 25 · 2021: 24 · 2020: 21 · 2019: 13
FWCI
11.41
Type
journal article
Language
en
Open access
Locations
  • American Journal of Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
Funders
National Institute of Mental Health (U01MH109514, U01MH109528, U01MH109536, U01MH094421, U01MH109501)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • 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
Keywords
schizophrenia, copy number variation, single nucleotide polymorphisms, polygenic risk score, genetic risk, 22q11.2 deletion, large deletions, CNV burden, gene-gene interaction, additive genetic model, genetic architecture
MeSH terms
Adult, Algorithms, Female, Humans, Male, Schizophrenia, Risk Assessment, Genetic Predisposition to Disease, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Genome-Wide Association Study, DNA Copy Number Variations

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