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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
“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]
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]
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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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Items 101–200 of 1,081
Progress and promise of genome-wide association studies for human complex trait genetics
Stranger, B. E., Stahl, E. A., & Raj, T. (2011) · Genetics · doi:10.1534/genetics.110.120907 · Cited by 567
The MHC locus and genetic susceptibility to autoimmune and infectious diseases
Matzaraki, V., Kumar, V., Wijmenga, C., & Zhernakova, A. (2017) · Genome biology · doi:10.1186/s13059-017-1207-1 · Cited by 566
Towards clinical utility of polygenic risk scores
Lambert, S. A., Abraham, G., & Inouye, M. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz187 · Cited by 586
Anatomy of bipolar disorder and schizophrenia: A meta-analysis
Ellison-Wright, I., & Bullmore, E. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2009.12.022 · Cited by 565
Genomic inflation factors under polygenic inheritance
Yang, J., Weedon, M. N., Purcell, S., Lettre, G., Estrada, K., Willer, C. J., Smith, A. V., Ingelsson, E., O’Connell, J. R., Mangino, M., et al. (2011) · European Journal of Human Genetics · doi:10.1038/ejhg.2011.39 · Cited by 571
Genetic architecture in autism spectrum disorder
Devlin, B., & Scherer, S. W. (2012) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2012.03.002 · Cited by 545
Cognitive Mechanisms of Treatment in Depression
Roiser, J. P., Elliott, R., & Sahakian, B. J. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.183 · Cited by 535
Improved polygenic prediction by Bayesian multiple regression on summary statistics
Lloyd-Jones, L. R., Zeng, J., Sidorenko, J., Yengo, L., Moser, G., Kemper, K. E., Wang, H., Zheng, Z., Magi, R., Esko, T., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12653-0 · Cited by 528
Gazal, S., Finucane, H. K., Furlotte, N. A., Loh, P.-R., Palamara, P. F., Liu, X., Schoech, A., Bulik-Sullivan, B., Neale, B. M., Gusev, A., et al. (2017) · Nature Genetics · doi:10.1038/ng.3954 · Cited by 525
Trans effects on gene expression can drive omnigenic inheritance
Liu, X., Li, Y. I., & Pritchard, J. K. (2019) · Cell · doi:10.1016/j.cell.2019.04.014 · Cited by 523
Do, C. B., Tung, J. Y., Dorfman, E., Kiefer, A. K., Drabant, E. M., Francke, U., Mountain, J. L., Goldman, S. M., Tanner, C. M., Langston, J. W., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002141 · Cited by 515
Andreassen, O. A., Djurovic, S., Thompson, W. K., Schork, A. J., Kendler, K. S., O’Donovan, M. C., Rujescu, D., Werge, T., van de Bunt, M., Morris, A. P., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.01.001 · Cited by 506
Gusev, A., Mancuso, N., Won, H., Kousi, M., Finucane, H. K., Reshef, Y., Song, L., Safi, A., Schizophrenia Working Group of the Psychiatric Genomics Consortium, McCarroll, S., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0092-1 · Cited by 491
Self-citationPolygenic scores via penalized regression on summary statistics
Mak, T. S. H., Porsch, R. M., Choi, S. W., Zhou, X., & Sham, P. C. (2017) · Genetic Epidemiology · doi:10.1002/gepi.22050 · Cited by 483
Genetic diversity fuels gene discovery for tobacco and alcohol use
Saunders, G., Wang, X., Chen, F., Jang, S.-K., Liu, M., Wang, C., Gao, S., Jiang, Y., Khunsriraksakul, C., Otto, J. M., et al. (2022) · Nature · doi:10.1038/s41586-022-05477-4 · Cited by 481
Genetic signatures of exceptional longevity in humans
Sebastiani, P., Solovieff, N., DeWan, A. T., Walsh, K. M., Puca, A., Hartley, S. W., Melista, E., Andersen, S., Dworkis, D. A., Wilk, J. B., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029848 · Cited by 464
Segrè, A. V., DIAGRAM Consortium, MAGIC investigators, Groop, L., Mootha, V. K., Daly, M. J., & Altshuler, D. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001058 · Cited by 463
Self-citationA genome-wide association study of alcohol dependence
Bierut, L. J., Agrawal, A., Bucholz, K. K., Doheny, K. F., Laurie, C., Pugh, E., Fisher, S., Fox, L., Howells, W., Bertelsen, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911109107 · Cited by 457
The Neurotropic Parasite Toxoplasma Gondii Increases Dopamine Metabolism
Prandovszky, E., Gaskell, E. A., Martin, H. L., Dubey, J. P., Webster, J. P., & McConkey, G. A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023866 · Cited by 453
Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders
Sullivan, P. F., & Geschwind, D. H. (2019) · Cell · doi:10.1016/j.cell.2019.01.015 · Cited by 452
“Common-Variant Association Studies of Psychiatric Disorders Most genetic studies of psychiatric disorders in the past decade have used SNP arrays to assess the role of accessible common variation (also known as genome-wide association studies [GWASs]).”
BackgroundInfluentialCalhoun, V. D., & Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2015.12.005 · Cited by 472
Hematopoietic origin of pathological grooming in Hoxb8 mutant mice
Chen, S.-K., Tvrdik, P., Peden, E., Cho, S., Wu, S., Spangrude, G., & Capecchi, M. R. (2010) · Cell · doi:10.1016/j.cell.2010.03.055 · Cited by 450
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Loh, P.-R., Bhatia, G., Gusev, A., Finucane, H. K., Bulik-Sullivan, B. K., Pollack, S. J., de Candia, T. R., Lee, S. H., Wray, N. R., et al. (2015) · Nature Genetics · doi:10.1038/ng.3431 · Cited by 449
Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia
Genovese, G., Fromer, M., Stahl, E. A., Ruderfer, D. M., Chambert, K., Landén, M., Moran, J. L., Purcell, S. M., Sklar, P., Sullivan, P. F., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4402 · Cited by 444
Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions
Fahed, A. C., Wang, M., Homburger, J. R., Patel, A. P., Bick, A. G., Neben, C. L., Lai, C., Brockman, D., Philippakis, A., Ellinor, P. T., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17374-3 · Cited by 459
A hierarchical causal taxonomy of psychopathology across the life span.
Lahey, B. B., Krueger, R. F., Rathouz, P. J., Waldman, I. D., & Zald, D. H. (2017) · Psychological Bulletin · doi:10.1037/bul0000069 · Cited by 443
Treatment resistant depression: A multi-scale, systems biology approach
Akil, H., Gordon, J. A., Hen, R., Javitch, J. A., Mayberg, H. S., McEwen, B. S., Meaney, M. J., & Nestler, E. J. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.08.019 · Cited by 463
Dissecting the genetics of complex traits using summary association statistics
Paşaniuc, B., & Price, A. L. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.142 · Cited by 461
Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia
Li, Z., Chen, J., Yu, H., He, L., Xu, Y., Zhang, D., Yi, Q., Li, C., Li, X., Shen, J., et al. (2017) · Nature Genetics · doi:10.1038/ng.3973 · Cited by 442
Increased exonic de novo mutation rate in individuals with schizophrenia
Girard, S. L., Gauthier, J., Noreau, A., Xiong, L., Zhou, S., Jouan, L., Dionne-Laporte, A., Spiegelman, D., Henrion, E., Diallo, O., et al. (2011) · Nature Genetics · doi:10.1038/ng.886 · Cited by 438
Linked dimensions of psychopathology and connectivity in functional brain networks
Xia, C. H., Ma, Z., Ciric, R., Gu, S., Betzel, R. F., Kaczkurkin, A. N., Calkins, M. E., Cook, P. A., García de la Garza, A., Vandekar, S. N., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05317-y · Cited by 437
Sequence Kernel Association Tests for the Combined Effect of Rare and Common Variants
Ionita-Laza, I., Lee, S., Makarov, V., Buxbaum, J. D., & Lin, X. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.04.015 · Cited by 433
Psychopathology and the Human Connectome: Toward a Transdiagnostic Model of Risk For Mental Illness
Buckholtz, J. W., & Meyer‐Lindenberg, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.002 · Cited by 449
Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5)
Ma, F. (2021) · Springer eBooks · doi:10.1007/978-3-030-22009-9_419 · Cited by 427
Duncan, L. E., Ratanatharathorn, A., Aiello, A. E., Almli, L. M., Amstadter, A. B., Ashley-Koch, A. E., Baker, D. G., Beckham, J. C., Bierut, L. J., Bisson, J., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.77 · Cited by 425
O’Sullivan, J. W., Raghavan, S., Márquez‐Luna, C., Luzum, J. A., Damrauer, S. M., Ashley, E. A., O’Donnell, C. J., Willer, C. J., & Natarajan, P. (2022) · Circulation · doi:10.1161/cir.0000000000001077 · Cited by 443
Paaby, A. B., & Rockman, M. V. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.10.010 · Cited by 442
Linking neurodevelopmental and synaptic theories of mental illness through DISC1
Brandon, N. J., & Sawa, A. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3120 · Cited by 431
Epidemiologic studies of exposure to prenatal infection and risk of schizophrenia and autism
Brown, A. S. (2012) · Developmental Neurobiology · doi:10.1002/dneu.22024 · Cited by 439
Common genetic variants, acting additively, are a major source of risk for autism
Klei, L., Sanders, S. J., Murtha, M. T., Hus, V., Lowe, J. K., Willsey, A. J., Moreno-De-Luca, D., Yu, T. W., Fombonne, E., Geschwind, D., et al. (2012) · Molecular Autism · doi:10.1186/2040-2392-3-9 · Cited by 418
Common polygenic variation enhances risk prediction for Alzheimer’s disease
Escott-Price, V., Sims, R., Bannister, C., Harold, D., Vronskaya, M., Majounie, E., Badarinarayan, N., GERAD/PERADES, consortia, I., Morgan, K., et al. (2015) · Brain · doi:10.1093/brain/awv268 · Cited by 414
A major role for common genetic variation in anxiety disorders
Purves, K. L., Coleman, J. R. I., Meier, S. M., Rayner, C., Davis, K. A. S., Cheesman, R., Bækvad‐Hansen, M., Børglum, A. D., Cho, S. W., Deckert, J., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0559-1 · Cited by 436
Detecting epistasis in human complex traits
Wei, W., Hemani, G., & Haley, C. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3747 · Cited by 415
Andreassen, O. A., Thompson, W. K., Schork, A. J., Ripke, S., Mattingsdal, M., Kelsoe, J. R., Kendler, K. S., O’Donovan, M. C., Rujescu, D., Werge, T. M., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003455 · Cited by 414
Underspecification Presents Challenges for Credibility in Modern Machine Learning
D'Amour, A., Heller, K., Moldovan, D., Adlam, B., Alipanahi, B., Beutel, A., Chen, C., Deaton, J., Eisenstein, J., Hoffman, M. D., et al. (2020) · arXiv · doi:10.48550/arxiv.2011.03395 · Cited by 398
Psychiatric genetics and the structure of psychopathology
Smoller, J. W., Andreassen, O. A., Edenberg, H. J., Faraone, S. V., Glatt, S. J., & Kendler, K. S. (2019) · Molecular Psychiatry · doi:10.1038/s41380-017-0010-4 · Cited by 398
Ayalew, M., Le-Niculescu, H., Levey, D. F., Jain, N., Changala, B., Patel, S. D., Winiger, E. A., Breier, A. F., Shekhar, A., AMDUR, R. L., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.37 · Cited by 390
Wang, A. K., & Miller, B. J. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx035 · Cited by 389
Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis
Diabetes Genetics Replication and Meta-analysis Consortium, Stahl, E. A., Myocardial Infarction Genetics Consortium, Wegmann, D., Trynka, G., Gutierrez-Achury, J., Do, R., Voight, B. F., Kraft, P., Chen, R., et al. (2012) · Nature Genetics · doi:10.1038/ng.2232 · Cited by 388
Ralston, S. H., & Uitterlinden, A. G. (2010) · Endocrine Reviews · doi:10.1210/er.2009-0044 · Cited by 396
Wain, L. V., Shrine, N. R. G., Miller, S., Jackson, V. E., Ntalla, I., Artigas, M. S., Billington, C. K., Kheirallah, A. K., Allen, R. J., Cook, J. P., et al. (2015) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(15)00283-0 · Cited by 393
Identification of IL6R and chromosome 11q13.5 as risk loci for asthma
Ferreira, M. A., Matheson, M. C., Duffy, D. L., Marks, G. B., Hui, J., Le Souëf, P., Danoy, P., Baltic, S., Nyholt, D. R., Jenkins, M., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60874-x · Cited by 381
Moser, G., Lee, S., Hayes, B. J., Goddard, M. E., Wray, N. R., & Visscher, P. M. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1004969 · Cited by 387
Individual common variants exert weak effects on the risk for autism spectrum disorders
Anney, R., Klei, L., Pinto, D., Almeida, J., Bacchelli, E., Baird, G., Bolshakova, N., Bölte, S., Bolton, P. F., Bourgeron, T., et al. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds301 · Cited by 375
Association of Psychiatric Disorders With Mortality Among Patients With COVID-19
Nemani, K., Li, C., Olfson, M., Blessing, E., Razavian, N., Chen, J., Petkova, E., & GOFF, D. C. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.4442 · Cited by 384
MHC Class I: An Unexpected Role in Neuronal Plasticity
Shatz, C. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.044 · Cited by 388
From Basic Science to Clinical Application of Polygenic Risk Scores: A Primer
Wray, N. R., Lin, T., Austin, J., McGrath, J. J., Hickie, I. B., Murray, G. K., & Visscher, P. M. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.3049 · Cited by 367
Fried, E. I. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00309 · Cited by 367
A Fast, Powerful Method for Detecting Identity by Descent
Browning, B. L., & Browning, S. R. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.01.010 · Cited by 372
Polygenic dissection of diagnosis and clinical dimensions of bipolar disorder and schizophrenia
Ruderfer, D. M., Fanous, A. H., Ripke, S., McQuillin, A., Amdur, R. L., Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Gejman, P. V., O'Donovan, M. C., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.138 · Cited by 364
DNA methylation signatures in development and aging of the human prefrontal cortex
Numata, S., Ye, T., Hyde, T. M., Guitart-Navarro, X., Tao, R., Wininger, M., Colantuoni, C., Weinberger, D. R., Kleinman, J. E., & Lipska, B. K. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.12.020 · Cited by 364
Functionally informed fine-mapping and polygenic localization of complex trait heritability
Weissbrod, O., Hormozdiari, F., Benner, C., Cui, R., Ulirsch, J., Gazal, S., Schoech, A. P., van de Geijn, B., Reshef, Y., Márquez-Luna, C., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-00735-5 · Cited by 364
Large-scale genomics unveils the genetic architecture of psychiatric disorders
Gratten, J., Wray, N. R., Keller, M. C., & Visscher, P. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3708 · Cited by 363
Kendler, K. S. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.182 · Cited by 381
Tamminga, C. A., Ivleva, E. I., Keshavan, M. S., Pearlson, G. D., Clementz, B. A., Witte, B. P., Morris, D. W., Bishop, J. R., Thaker, G. K., & Sweeney, J. A. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.12101339 · Cited by 361
Response inhibition and psychopathology: A meta-analysis of go/no-go task performance
Wright, L., Lipszyc, J., Dupuis, A., Thayapararajah, S. W., & Schachar, R. (2014) · Journal of Abnormal Psychology · doi:10.1037/a0036295 · Cited by 360
Toward New Approaches to Psychotic Disorders: The NIMH Research Domain Criteria Project
Cuthbert, B. N., & Insel, T. R. (2010) · Schizophrenia Bulletin · doi:10.1093/schbul/sbq108 · Cited by 360
Sohail, M., Maier, R. M., Ganna, A., Bloemendal, A., Martin, A. R., Turchin, M. C., Chiang, C. W., Hirschhorn, J., Daly, M. J., Patterson, N., et al. (2019) · eLife · doi:10.7554/elife.39702 · Cited by 359
Understanding and using quantitative genetic variation
Hill, W. G. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2009.0203 · Cited by 372
Chatterjee, N., Wheeler, B., Sampson, J. N., Hartge, P. A., Chanock, S. J., & Park, J.-H. (2013) · Nature Genetics · doi:10.1038/ng.2579 · Cited by 359
Tedja, M. S., Wojciechowski, R., Hysi, P. G., Eriksson, N., Furlotte, N. A., Verhoeven, V. J. M., Iglesias, A. I., Meester‐Smoor, M. A., Tompson, S. W. J., Fan, Q., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0127-7 · Cited by 357
METASTROKE Consortium, I. C. F. B. P. G., Hagenaars, S. P., SpiroMeta Consortium, CHARGE Consortium Pulmonary Group, C. C. A. A. L. G., Harris, S. E., Davies, G., Hill, W. D., Liewald, D. C. M., Ritchie, S. J., Marioni, R. E., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.225 · Cited by 350
Hannon, E., Dempster, E., Viana, J., Burrage, J., Smith, A. R., Macdonald, R., St Clair, D., Mustard, C., Breen, G., Therman, S., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-1041-x · Cited by 349
Genome-wide association study reveals two new risk loci for bipolar disorder
Mühleisen, T. W., Leber, M., Schulze, T. G., Strohmaier, J., Degenhardt, F., Treutlein, J., Mattheisen, M., Forstner, A. J., Schumacher, J., Breuer, R., et al. (2014) · Nature Communications · doi:10.1038/ncomms4339 · Cited by 346
de Moor, M. H. M., van den Berg, S. M., Verweij, K. J. H., Krueger, R. F., Luciano, M., Arias Vasquez, A., Matteson, L. K., Derringer, J., Esko, T., Amin, N., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.0554 · Cited by 345
Common genetic variants contribute to risk of rare severe neurodevelopmental disorders
Niemi, M. E. K., Martin, H. C., Rice, D. L., Gallone, G., Gordon, S., Kelemen, M., McAloney, K., McRae, J., Radford, E. J., Yu, S., et al. (2018) · Nature · doi:10.1038/s41586-018-0566-4 · Cited by 340
Transethnic Genetic-Correlation Estimates from Summary Statistics
Brown, B. C., Ye, C. J., Price, A. L., & Zaitlen, N. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.05.001 · Cited by 340
Pedersen, C. B., Bybjerg-Grauholm, J., Pedersen, M. G., Grove, J., Agerbo, E., Bækvad-Hansen, M., Poulsen, J. B., Hansen, C. S., McGrath, J. J., Als, T. D., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.196 · Cited by 338
Genomic prediction of coronary heart disease
Abraham, G., Havulinna, A. S., Bhalala, O. G., Byars, S. G., De Livera, A. M., Yetukuri, L., Tikkanen, E., Perola, M., Schunkert, H., Sijbrands, E. J., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw450 · Cited by 338
A Better Coefficient of Determination for Genetic Profile Analysis
Lee, S., Goddard, M. E., Wray, N. R., & Visscher, P. M. (2012) · Genetic Epidemiology · doi:10.1002/gepi.21614 · Cited by 338
Principles and methods for transferring polygenic risk scores across global populations
Kachuri, L., Chatterjee, N., Hirbo, J. B., Schaid, D. J., Martin, I. K., Kullo, I. J., Kenny, E. E., Paşaniuc, B., Auer, P. L., Conomos, M. P., et al. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00637-2 · Cited by 366
Power, R. A., Kyaga, S., Uher, R., MacCabe, J. H., Långström, N., Landen, M., McGuffin, P., Lewis, C. M., Lichtenstein, P., & Svensson, A. C. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.268 · Cited by 336
Evidence of a dimensional relationship between schizotypy and schizophrenia: A systematic review
Nelson, M. T., Seal, M. L., Pantelis, C., & Phillips, L. J. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.004 · Cited by 334
McCarthy, S. E., Gillis, J., Kramer, M., Lihm, J., Yoon, S. C., Berstein, Y., Mistry, M., Pavlidis, P., Solomon, R., Ghiban, E., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.29 · Cited by 338
Genetic overlap between autism, schizophrenia and bipolar disorder
Carroll, L. S., & Owen, M. J. (2009) · Genome Medicine · doi:10.1186/gm102 · Cited by 326
Schizophrenia and the neurodevelopmental continuum:evidence from genomics
Owen, M. J., & O’Donovan, M. C. (2017) · World Psychiatry · doi:10.1002/wps.20440 · Cited by 339
Linscott, R. J., & van Os, J. (2010) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.032408.153506 · Cited by 324
Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
de Rojas, I., Moreno-Grau, S., Tesi, N., Grenier-Boley, B., Andrade, V., Jansen, I. E., Pedersen, N. L., Stringa, N., Zettergren, A., Hernández, I., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22491-8 · Cited by 324
Non-Genetic Factors in Schizophrenia
Stilo, S. A., & Murray, R. M. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1091-3 · Cited by 369
Genetic Variation in CACNA1C Affects Brain Circuitries Related to Mental Illness
Bigos, K. L., Mattay, V. S., Callicott, J. H., Straub, R. E., Vakkalanka, R., Kolachana, B. S., Hyde, T. M., Lipska, B. K., Kleinman, J. E., & Weinberger, D. R. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.96 · Cited by 323
An Evolutionary Life History Framework for Psychopathology
Giudice, M. D. (2014) · Psychological Inquiry · doi:10.1080/1047840x.2014.884918 · Cited by 335
Evaluating historical candidate genes for schizophrenia
Farrell, M. S., Werge, T., Sklar, P., Owen, M. J., Ophoff, R. A., O'Donovan, M. C., Corvin, A., Cichon, S., & Sullivan, P. F. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.16 · Cited by 315
Genome-wide association meta-analysis identifies new endometriosis risk loci
Nyholt, D. R., Low, S.-K., Anderson, C. A., Painter, J. N., Uno, S., Morris, A. P., MacGregor, S., Gordon, S. D., Henders, A. K., Martin, N. G., et al. (2012) · Nature Genetics · doi:10.1038/ng.2445 · Cited by 315
Genome-wide analysis identifies 12 loci influencing human reproductive behavior
Barban, N., Study, L. C., Jansen, R., de Vlaming, R., Vaez, A., Mandemakers, J. J., Tropf, F. C., Shen, X., Wilson, J. F., Chasman, D. I., et al. (2016) · Nature Genetics · doi:10.1038/ng.3698 · Cited by 324
From maps to mechanisms through neuroimaging of schizophrenia
Meyer‐Lindenberg, A. (2010) · Nature · doi:10.1038/nature09569 · Cited by 325
Systematic resequencing of X-chromosome synaptic genes in autism spectrum disorder and schizophrenia
Piton, A., Gauthier, J., Hamdan, F. F., Lafrenière, R. G., Yang, Y., Henrion, É., Laurent, S. B., Noreau, A., Thibodeau, P., Karemera, L., et al. (2010) · Molecular Psychiatry · doi:10.1038/mp.2010.54 · Cited by 318
Treatment resistant schizophrenia: Clinical, biological, and therapeutic perspectives
Nucifora, F. C., Woznica, E., Lee, B. J., Cascella, N. G., & Sawa, A. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.08.016 · Cited by 337
Lu, Y., Vitart, V., Burdon, K. P., Khor, C. C., Bykhovskaya, Y., Mirshahi, A., Hewitt, A. W., Koehn, D., Hysi, P. G., Ramdas, W. D., et al. (2013) · Nature Genetics · doi:10.1038/ng.2506 · Cited by 314
Inflammation and Brain Structure in Schizophrenia and Other Neuropsychiatric Disorders
Williams, J. A., Burgess, S., Suckling, J., Lalousis, P. A., Batool, F., Griffiths, S. L., Palmer, E. R., Karwath, A., Barsky, A., Gkoutos, G. V., et al. (2022) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2022.0407 · Cited by 313
Miller, B. H., Zeier, Z., Xi, L., Lanz, T. A., Deng, S., Strathmann, J., Willoughby, D., Kenny, P. J., Elsworth, J. D., Lawrence, M. S., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113793109 · Cited by 309
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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