Cited by 4,821Schizophrenia research and treatmentGenetic Associations and EpidemiologyBipolar Disorder and Treatment

Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

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The International Schizophrenia Consortium·2009·Nature

Abstract

Schizophrenia is a severe mental disorder with a lifetime risk of about 1%, characterized by hallucinations, delusions and cognitive deficits, with heritability estimated at up to 80%. We performed a genome-wide association study of 3,322 European individuals with schizophrenia and 3,587 controls. Here we show, using two analytic approaches, the extent to which common genetic variation underlies the risk of schizophrenia. First, we implicate the major histocompatibility complex. Second, we provide molecular genetic evidence for a substantial polygenic component to the risk of schizophrenia involving thousands of common alleles of very small effect. We show that this component also contributes to the risk of bipolar disorder, but not to several non-psychiatric diseases.

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  • Recent genetic studies indicate a complex polygenic architecture involving hundreds of genetic variants that individually confer a minimal increase on the overall risk of developing schizophrenia.

    “recent genetic studies have indicated a complex polygenic architecture involving hundreds of genetic variants that individually confer a minimal increase on the overall risk of developing the disorder (Purcell et al., 2009)”
  • Schizophrenia has an estimated heritability of 60-80%, and a large portion of that heritability is due to common risk alleles.

    “Schizophrenia has a heritability of 60–80%, much of which is attributable to common risk alleles.”
  • A large share of between-person variation in schizophrenia risk is genetic and involves many common alleles, rare copy number variants, and rare coding variants.

    “Much of the between-individual variation in risk is genetic, involving large numbers of common alleles,5 rare copy number variants (CNVs)6, and rare coding variants (RCVs)7,8.”
  • Quality control parameters were adjusted until lambda GC was between 1.0 and 1.4 before inclusion of principal components and between 1.0 and 1.15 after inclusion of PCA covariates.

    “we evaluated the effectiveness of the primary technical and genomic quality control parameters on the genome-wide inflation of test statistics using the lambda GC (median)5 and as necessary made the QC parameters more stringent until this value was between 1.0 and 1.4 (before inclusion of principal components as covariates) and/or between 1.0 and 1.15 after inclusion of PCA covariates.”
  • Development of robust polygenic scores for several common diseases has been catalysed by more precise per-variant effect estimates from larger GWAS, improved algorithms, and large-scale biobanks.

    “The development of robust polygenic scores for several common diseases has been catalysed by more precise per-variant effect estimates from larger GWAS datasets, improved algorithms for combining information across millions of single-nucleotide polymorphisms, and large-scale biobanks that support score validation69,146,147.”

    From A brief history of human disease genetics (2020) · cites this paper as [146]

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Authors
The International Schizophrenia Consortium
Venue
Nature
Published
2009-07-01
Volume
460
Issue
7256
Pages
748-752
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2098597355
Cited by
4,821
References
31
Citations by year
2026: 84 · 2025: 129 · 2024: 190 · 2023: 235 · 2022: 246 · 2021: 291 · 2020: 354 · 2019: 337 · 2018: 297 · 2017: 339 · 2016: 365 · 2015: 328 · 2014: 316 · 2013: 330 · 2012: 348
FWCI
197.43
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion)
Funders
  • Massachusetts Institute of Technology
  • Wellcome Trust (066717)
  • Broad Institute
  • National Institute of Mental Health (R01MH077139, P50MH066392, R01MH071681, R01MH062137, R01MH074027, R01MH080403)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
Keywords
schizophrenia, bipolar disorder, polygenic risk, common genetic variants, major histocompatibility complex, genetic susceptibility, immunity, heritability, psychiatric genetics
MeSH terms
Alleles, Bipolar Disorder, Europe, Female, Gene Frequency, Humans, Major Histocompatibility Complex, Male, Models, Genetic, Schizophrenia, Genetic Variation, Genome, Human, Case-Control Studies, Genetic Predisposition to Disease, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Genome-Wide Association Study

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