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Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
Open accessAbstract
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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In the citing paper
“Common variant SNP effects have been estimated to explain large proportions of the phenotypic heritability for a wide range of diseases: BIP and SCZ; 69,130 T1DM, T2DM, Crohn’s disease, rheumatoid arthritis, celiac disease, and coronary artery disease; 70,77 and continuous traits (height, intelligence, and body mass). 70,131,132”
From Genetic architectures of psychiatric disorders: the emerging picture and its implications (2012) · cites this paper as [70]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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)”
From DNA methylation meta-analysis reveals cellular alterations in psychosis and markers of treatment-resistant schizophrenia (2021) · cites this paper as Purcell et al., 2009
In the citing paper
“Schizophrenia has a heritability of 60–80%, much of which is attributable to common risk alleles.”
From Mapping genomic loci implicates genes and synaptic biology in schizophrenia (2022) · cites this paper as [5]
In the citing paper
“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.”
From Mapping genomic loci implicates genes and synaptic biology in schizophrenia (2022) · cites this paper as [5]
In the citing paper
“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.”
From Mapping genomic loci implicates genes and synaptic biology in schizophrenia (2022) · cites this paper as [5]
In the citing paper
“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]
In the citing paper
“Additive effects of genetic risk markers were documented in schizophrenia (Purcell et al., 2009) and in ADHD (Jain et al., 2011).”
From From early markers to neuro-developmental mechanisms of autism (2014) · cites this paper as Purcell et al., 2009
In the citing paper
“Undoubtedly, the phenotypic expression of rare high-penetrance alleles is modulated by other genetic factors, including rare variants, as well as common (polygenic) variation (Purcell et al., 2009) or epigenetic regulation (Hirasawa and Feil, 2010).”
From CNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics (2012) · cites this paper as Purcell et al., 2009
In the citing paper
“and only about a third of that recently explained for schizophrenia (30)”
From Individual common variants exert weak effects on the risk for autism spectrum disorders (2012) · cites this paper as [30]
In the citing paper
“SCZ is truly complex and appears to result from a myriad of genetic variants exerting small effects on disease risk4,5, conforming closely to a classical polygenic model.”
From Gene expression elucidates functional impact of polygenic risk for schizophrenia (2016) · cites this paper as [4]
In the citing paper
“SCZ is truly complex and appears to result from a myriad of genetic variants exerting small effects on disease risk4,5, conforming closely to a classical polygenic model.”
From Gene expression elucidates functional impact of polygenic risk for schizophrenia (2016) · cites this paper as [4]
In the citing paper
“Similarly in humans, by taking all nominally significant SNPs rather than just the GWAS significant ones, it is possible to capture much more of the genetic variance than is explained by the highly significant loci73,74”
From Rare and common variants: twenty arguments (2012) · cites this paper as [73]
In the citing paper
“Indeed, the large-scale impact of large numbers of common variants may be a general feature of human complex traits 70–77”
From Genetic architectures of psychiatric disorders: the emerging picture and its implications (2012) · cites this paper as [70]
In the citing paper
“Hypothesized genetic architectures consisting entirely of rare variants are inconsistent with the data for AD, ASD, BIP, and SCZ (as well as for multiple other complex biomedical diseases). 70–77”
From Genetic architectures of psychiatric disorders: the emerging picture and its implications (2012) · cites this paper as [70]
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Citations
Cites
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Self-citationXV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.
Fisher, R. A. (1919) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800012163 · Cited by 4,387
The Wellcome Trust Case Control Consortium, U.K.
Mossman, K. (2008) · Scientific American · doi:10.1038/scientificamerican0108-42a · Cited by 2,714
Schizophrenia as a Complex Trait: Evidence From a Meta-analysis of Twin Studies
Sullivan, P. F., Kendler, K. S., & Neale, M. C. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.12.1187 · Cited by 2,356
Lichtenstein, P., Yip, B. H., Björk, C., Pawitan, Y., Cannon, T. D., Sullivan, P. F., & Hultman, C. M. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60072-6 · Cited by 2,125
Rare Structural Variants Disrupt Multiple Genes in Neurodevelopmental Pathways in Schizophrenia
Walsh, T., McClellan, J. M., McCarthy, S. E., Addington, A. M., Pierce, S. B., Cooper, G. M., Nord, A. S., Kusenda, M., Malhotra, D., Bhandari, A., et al. (2008) · Science · doi:10.1126/science.1155174 · Cited by 1,800
Personal genomes: The case of the missing heritability
Maher, B. (2008) · Nature · doi:10.1038/456018a · Cited by 1,737
Common variants conferring risk of schizophrenia
†Genetic Risk and Outcome in Psychosis (GROUP), Stefansson, H., Ophoff, R. A., Steinberg, S., Andreassen, O. A., Cichon, S., Rujescu, D., Werge, T., Pietiläinen, O. P. H., Mors, O., et al. (2009) · Nature · doi:10.1038/nature08186 · Cited by 1,677
Rare chromosomal deletions and duplications increase risk of schizophrenia
The International Schizophrenia Consortium (2008) · Nature · doi:10.1038/nature07239 · Cited by 1,475
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Debette, S., Ibrahim‐Verbaas, C. A., Bressler, J., Schuur, M., Smith, A. V., Bis, J. C., Davies, G., Wolf, C., Gudnason, V. G., Chibnik, L. B., et al. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.08.027 · Cited by 82
Roffman, J. L., Brohawn, D. G., Nitenson, A. Z., Macklin, E. A., Smoller, J. W., & GOFF, D. C. (2011) · Schizophrenia Bulletin · doi:10.1093/schbul/sbr150 · Cited by 81
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Self-citationGusev, A., Shi, H., Kichaev, G., Pomerantz, M., Li, F., Long, H. W., Ingles, S. A., Kittles, R. A., Strom, S. S., Rybicki, B. A., et al. (2016) · Nature Communications · doi:10.1038/ncomms10979 · Cited by 51
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Fanelli, G., & Serretti, A. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2018.08.007 · Cited by 52
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Nelson, P. A., Sage, J. R., Wood, S. C., Davenport, C. M., Anagnostaras, S. G., & Boulanger, L. M. (2013) · Learning & Memory · doi:10.1101/lm.031351.113 · Cited by 49
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McGrath, L. M., Cornelis, M. C., Lee, P. H., Robinson, E. B., Duncan, L. E., Barnett, J. H., Huang, J., Gerber, G., Sklar, P., Sullivan, P., et al. (2013) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32190 · Cited by 48
Self-citationDow, D. J., Huxley-Jones, J., Hall, J. M., Francks, C., Maycox, P. R., Kew, J. N. C., Gloger, I. S., Mehta, N. A. L., Kelly, F. M., Muglia, P., et al. (2011) · Schizophrenia Research · doi:10.1016/j.schres.2010.12.009 · Cited by 48
Ratanatharathorn, A., Koenen, K. C., Chibnik, L. B., Weisskopf, M. G., Rich-Edwards, J. W., & Roberts, A. L. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00996-w · Cited by 45
Gao, X. R., Chiariglione, M., Qin, K., Nuytemans, K., Scharre, D. W., Li, Y.-J., & Martin, E. R. (2023) · Scientific Reports · doi:10.1038/s41598-023-27551-1 · Cited by 45
The Autism Genome Project, Anney, R. J. L., Kenny, E. M., O'Dushlaine, C., Yaspan, B. L., Parkhomenka, E., Buxbaum, J. D., Sutcliffe, J., Gill, M., Gallagher, L., et al. (2011) · European Journal of Human Genetics · doi:10.1038/ejhg.2011.75 · Cited by 43
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Moskvina, V., Smith, M., Ivanov, D., Blackwood, D., StClair, D., Hultman, C., Toncheva, D., Gill, M., Corvin, A., O’Dushlaine, C., et al. (2010) · Human Heredity · doi:10.1159/000313854 · Cited by 38
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Yang, E., Tadin, D., Glasser, D. M., Wook Hong, S., Blake, R., & Park, S. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00569 · Cited by 38
Allen, J. A., Yadav, P. N., Setola, V, Farrell, M., & Roth, B. L. (2011) · Translational Psychiatry · doi:10.1038/tp.2011.35 · Cited by 37
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Hamilton, S. P. (2009) · Depression and Anxiety · doi:10.1002/da.20615 · Cited by 35
Euesden, J., Breen, G., Farmer, A., McGuffin, P., & Lewis, C. M. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32282 · Cited by 36
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Montagnese, M., Knolle, F., Haarsma, J., Griffin, J. D., Richards, A., Vertes, P. E., Kiddle, B., Fletcher, P. C., Jones, P. B., Owen, M. J., et al. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.04.022 · Cited by 26
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Visscher, P. M., & Wray, N. R. (2015) · Human Heredity · doi:10.1159/000446931 · Cited by 30
Self-citationGenome-wide association analysis identifies common variants influencing infant brain volumes
Xia, K., Zhang, J., Ahn, M., Jha, S., Crowley, J. J., Szatkiewicz, J., Li, T., Zou, F., Zhu, H., Hibar, D., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.159 · Cited by 30
Self-citationZhang, R., Lu, S., Meng, L., Min, Z., Tian, J., Valenzuela, R. K., Guo, T., Tian, L., Zhao, W., & Ma, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030237 · Cited by 30
A family-based study of common polygenic variation and risk of schizophrenia
Ruderfer, D. M., Kirov, G., Chambert, K., Moran, J. L., Owen, M. J., O'Donovan, M. C., Sklar, P., & Purcell, S. M. (2011) · Molecular Psychiatry · doi:10.1038/mp.2011.34 · Cited by 28
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SanGiovanni, J. P., & Lee, P. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071239 · Cited by 26
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Gao, Z., Li, B., Guo, X., Bai, W., & Kou, C. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-04760-6 · Cited by 22
Ibanez, L., Heitsch, L., Dube, U., Farias, F. H. G., Budde, J., Bergmann, K., Davenport, R., Bradley, J., Carrera, C., Kinnunen, J., et al. (2019) · Stroke · doi:10.1161/strokeaha.118.023097 · Cited by 23
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Brannan, C., Foulkes, A. L., & Lázaro‐Muñoz, G. (2019) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32629 · Cited by 22
Leopold, K., Bauer, M., Bechdolf, A., Correll, C. U., Holtmann, M., Juckel, G., Lambert, M., Meyer, T. D., Pfeiffer, S., Kittel‐Schneider, S., et al. (2020) · Bipolar Disorders · doi:10.1111/bdi.12894 · Cited by 23
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Suárez-Rama, J. J., Arrojo, M., Sobrino, B., Amigo, J., Brenlla, J., Agra, S., Paz, E., Brión, M., Carracedo, Á., Páramo, M., et al. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.04.013 · Cited by 18
Rossi, J. J., Rosenfeld, J. A., Chan, K. M., Streff, H., Nankivell, V., Peet, D. J., Whitelaw, M. L., & Bersten, D. C. (2021) · Scientific Reports · doi:10.1038/s41598-021-86041-4 · Cited by 17
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Van Assche, E., Moons, T., Van Leeuwen, K., Colpin, H., Verschueren, K., Van Den Noortgate, W., Goossens, L., & Claes, S. (2016) · European Psychiatry · doi:10.1016/j.eurpsy.2016.01.2428 · Cited by 13
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Lane, N. M., Hunter, S. A., & Lawrie, S. M. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2020.102228 · Cited by 11
Martins, M. J. R. V., Castilho, P., Carvalho, C. B., Pereira, A. T., Santos, V., Gumley, A., & de Macedo, A. F. (2017) · European Psychologist · doi:10.1027/1016-9040/a000283 · Cited by 11
Self-citationBarth, B., Portella, A. K., Dubé, L., Meaney, M. J., & Silveira, P. P. (2019) · Healthy Ageing and Longevity · doi:10.1007/978-3-030-24958-8_7 · Cited by 13
Jiang, W., Cheung, R. Y. K., Chung, C. Y., Chan, S. S. C., & Choy, K. W. (2024) · Genes · doi:10.3390/genes16010005 · Cited by 9
Jones, H. J., Hammerton, G., McCloud, T., Hines, L. A., Wright, C., Gage, S. H., Holmans, P., Jones, P. B., Davey Smith, G., Linden, D. E. J., et al. (2022) · Psychological Medicine · doi:10.1017/s0033291720001798 · Cited by 9
Self-citationWang, F. L., Chassin, L., Bates, J. E., Dick, D., Lansford, J. E., Pettit, G. S., & Dodge, K. A. (2018) · Development and Psychopathology · doi:10.1017/s095457941700058x · Cited by 6
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Metadata
- 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
- PMC
- PMC3912837
- 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
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- 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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