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Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis
Open accessAbstract
Heritability analyses of genome-wide association study (GWAS) cohorts have yielded important insights into complex disease architecture, and increasing sample sizes hold the promise of further discoveries. Here we analyze the genetic architectures of schizophrenia in 49,806 samples from the PGC and nine complex diseases in 54,734 samples from the GERA cohort. For schizophrenia, we infer an overwhelmingly polygenic disease architecture in which ≥71% of 1-Mb genomic regions harbor ≥1 variant influencing schizophrenia risk. We also observe significant enrichment of heritability in GC-rich regions and in higher-frequency SNPs for both schizophrenia and GERA diseases. In bivariate analyses, we observe significant genetic correlations (ranging from 0.18 to 0.85) for several pairs of GERA diseases; genetic correlations were on average 1.3 tunes stronger than the correlations of overall disease liabilities. To accomplish these analyses, we developed a fast algorithm for multicomponent, multi-trait variance-components analysis that overcomes prior computational barriers that made such analyses intractable at this scale.
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“As a class of variation, common variants explain ~24% of the variance in disease liability 11 .”
From Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia (2020) · cites this paper as [11]
In the citing paper
“This has been borne out by genome-wide association studies (GWAS) which have now, in a companion paper, identified 270 common (minor allele frequency [MAF] > 1%) risk loci of individually small effect (median odds ratio [OR] < 1.05)13.”
From Rare coding variants in ten genes confer substantial risk for schizophrenia (2022) · cites this paper as [13]
In the citing paper
“In tandem with a companion paper from the Psychiatric Genomics Consortium13, we provide evidence that common and ultra-rare coding variants identify an overlapping set of genes.”
From Rare coding variants in ten genes confer substantial risk for schizophrenia (2022) · cites this paper as [13]
In the citing paper
“To evaluate the overlap of schizophrenia associations from common variants and ultra-rare coding variant analyses, we jointly analyzed our results with the largest GWAS of schizophrenia to date, which identified common variant associations at 270 distinct loci from the analysis of 69,369 cases and 236,642 controls13.”
From Rare coding variants in ten genes confer substantial risk for schizophrenia (2022) · cites this paper as [13]
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Citations
Cites
Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709
GCTA: a tool for genome-wide complex trait analysis
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279
Self-citationBiological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577
Efficient Methods to Compute Genomic Predictions
VanRaden, P. M. (2008) · Journal of Dairy Science · doi:10.3168/jds.2007-0980 · Cited by 6,050
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534
Common SNPs explain a large proportion of the heritability for human height
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2010) · Nature Genetics · doi:10.1038/ng.608 · Cited by 4,446
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
An atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255
Self-citationRecovery of Inter-Block Information when Block Sizes are Unequal
Patterson, H. D., & Thompson, R. (1971) · Biometrika · doi:10.1093/biomet/58.3.545 · Cited by 4,073
Robust relationship inference in genome-wide association studies
Manichaikul, A., Mychaleckyj, J. C., Rich, S. S., Daly, K., Sale, M., & Chen, W.-M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq559 · Cited by 3,541
Willer (2013) · doi:10.1038/ng.2797 · Cited by 2,983
Partitioning heritability by functional annotation using genome-wide association summary statistics
ReproGen Consortium, Finucane, H. K., Schizophrenia Working Group of the Psychiatric Genomics Consortium, The RACI Consortium, Bulik-Sullivan, B., Gusev, A., Trynka, G., Reshef, Y., Loh, P.-R., Anttila, V., et al. (2015) · Nature Genetics · doi:10.1038/ng.3404 · Cited by 2,604
Self-citationGenetic relationship between five psychiatric disorders estimated from genome-wide SNPs
Cross-Disorder Group of the Psychiatric Genomics Consortium (2013) · Nature Genetics · doi:10.1038/ng.2711 · Cited by 2,263
Self-citationGenome-wide association study identifies five new schizophrenia loci
The Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (2011) · Nature Genetics · doi:10.1038/ng.940 · Cited by 1,919
Self-citationThe Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics · doi:10.1038/ng.3097 · Cited by 1,853
Applications of linear models in animal breeding
Henderson, C. R. (1984) · University of Guelph eBooks · Cited by 1,700
The inheritance of liability to certain diseases, estimated from the incidence among relatives
Falconer, D. (1965) · Annals of Human Genetics · doi:10.1111/j.1469-1809.1965.tb00500.x · Cited by 1,662
Efficient Bayesian mixed-model analysis increases association power in large cohorts
Loh, P.-R., Tucker, G., Bulik-Sullivan, B. K., Vilhjálmsson, B. J., Finucane, H. K., Salem, R. M., Chasman, D. I., Ridker, P. M., Neale, B. M., Berger, B., et al. (2015) · Nature Genetics · doi:10.1038/ng.3190 · Cited by 1,507
Self-citationGenome-wide association analysis identifies 13 new risk loci for schizophrenia
Multicenter Genetic Studies of Schizophrenia Consortium, Ripke, S., Psychosis Endophenotypes International Consortium, Wellcome Trust Case Control Consortium 2, O'Dushlaine, C., Chambert, K., Moran, J. L., Kähler, A. K., Akterin, S., Bergen, S. E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2742 · Cited by 1,496
Self-citationThe investigation of linkage between a quantitative trait and a marker locus
Haseman, J. K., & Elston, R. C. (1972) · Behavior Genetics · doi:10.1007/bf01066731 · Cited by 1,367
Rare and common variants: twenty arguments
Gibson, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3118 · Cited by 1,278
Estimating Missing Heritability for Disease from Genome-wide Association Studies
Lee, S. H., Wray, N. R., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.02.002 · Cited by 1,064
Self-citationDIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Mahajan, A., Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) Consortium, Go, M. J., Zhang, W., Below, J. E., Gaulton, K. J., et al. (2014) · Nature Genetics · doi:10.1038/ng.2897 · Cited by 1,034
Advantages and pitfalls in the application of mixed-model association methods
Yang, J., Zaitlen, N. A., Goddard, M. E., Visscher, P. M., & Price, A. L. (2014) · Nature Genetics · doi:10.1038/ng.2876 · Cited by 981
Self-citationCommon Genetic Variation and Human Traits
Goldstein, D. B. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0806284 · Cited by 918
Gilmour, A. R., Thompson, R., & Cullis, B. R. (1995) · Biometrics · doi:10.2307/2533274 · Cited by 915
GNU Parallel: The Command-Line Power Tool.
Tange, O. (2011) · ;login:: the magazine of USENIX & SAGE · Cited by 905
Genome partitioning of genetic variation for complex traits using common SNPs
Yang, J., Manolio, T. A., Pasquale, L. R., Boerwinkle, E., Caporaso, N., Cunningham, J. M., de Andrade, M., Feenstra, B., Feingold, E., Hayes, M. G., et al. (2011) · Nature Genetics · doi:10.1038/ng.823 · Cited by 890
No Unbiased Estimator of the Variance of K-Fold Cross-ValidationPreprint
Bengio, Y., & Grandvalet, Y. (2003) · RePEc: Research Papers in Economics · Cited by 886
A COMPARISON OF GENETIC AND PHENOTYPIC CORRELATIONS
Cheverud, J. M. (1988) · Evolution · doi:10.1111/j.1558-5646.1988.tb02514.x · Cited by 839
Polygenic Modeling with Bayesian Sparse Linear Mixed Models
Zhou, X., Carbonetto, P. S., & Stephens, M. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003264 · Cited by 802
Biological interpretation of genome-wide association studies using predicted gene functions
Pers, T. H., Karjalainen, J. M., Chan, Y., Westra, H.-J., Wood, A. R., Yang, J., Lui, J. C., Vedantam, S., Gustafsson, S., Esko, T., et al. (2015) · Nature Communications · doi:10.1038/ncomms6890 · Cited by 787
Improved Heritability Estimation from Genome-wide SNPs
Speed, D., Hemani, G., Johnson, M. R., & Balding, D. J. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.10.010 · Cited by 719
A polygenic theory of schizophrenia.
Gottesman, I. I., & Shields, J. (1967) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.58.1.199 · Cited by 636
Searching for missing heritability: Designing rare variant association studies
Zuk, O., Schaffner, S. F., Samocha, K., Do, R., Hechter, E., Kathiresan, S., Daly, M. J., Neale, B. M., Sunyaev, S. R., & Lander, E. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1322563111 · Cited by 635
Self-citationLee, S. H., Yang, J., Goddard, M. E., Visscher, P. M., & Wray, N. R. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts474 · Cited by 635
Self-citationEstimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs
The Schizophrenia Psychiatric Genome-Wide Association Study Consortium (PGC-SCZ), Lee, S. H., The International Schizophrenia Consortium (ISC), The Molecular Genetics of Schizophrenia Collaboration (MGS), DeCandia, T. R., Ripke, S., Yang, J., Sullivan, P. F., Goddard, M. E., Keller, M. C., et al. (2012) · Nature Genetics · doi:10.1038/ng.1108 · Cited by 579
Self-citationPartitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases
Gusev, A., Lee, S. H., Trynka, G., Finucane, H., Vilhjálmsson, B. J., Xu, H., Zang, C., Ripke, S., Bulik-Sullivan, B., Stahl, E., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.10.004 · Cited by 544
Self-citationWidespread Genomic Signatures of Natural Selection in Hominid Evolution
McVicker, G., Gordon, D., Davis, C., & Green, P. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000471 · Cited by 456
Multiple Trait Evaluation Using Relatives' Records
Henderson, C., & Quaas, R. L. (1976) · Journal of Animal Science · doi:10.2527/jas1976.4361188x · Cited by 451
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
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
Guiblet, W. M., Zhao, K., O’Brien, S. J., Massey, S. E., Roca, A. L., & Oleksyk, T. K. (2015) · GigaScience · doi:10.1186/2047-217x-4-1 · Cited by 374
Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia
Galinsky, K. J., Bhatia, G., Loh, P., Georgiev, S., Mukherjee, S., Patterson, N. J., & Price, A. L. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.12.022 · Cited by 374
Self-citationVisscher, P. M., Hemani, G., Vinkhuyzen, A. A. E., Chen, G., Lee, S., Wray, N. R., Goddard, M. E., & Yang, J. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004269 · Cited by 325
Self-citationBanovich, N. E., Lan, X., McVicker, G., van de Geijn, B., Degner, J. F., Blischak, J., Roux, J., Pritchard, J. K., & Gilad, Y. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004663 · Cited by 292
Measuring missing heritability: Inferring the contribution of common variants
Golan, D., Lander, E. S., & Rosset, S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419064111 · Cited by 288
Adjusting for Heritable Covariates Can Bias Effect Estimates in Genome-Wide Association Studies
Aschard, H., Vilhjálmsson, B. J., Joshi, A. D., Price, A. L., & Kraft, P. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.12.021 · Cited by 287
Self-citationHinds, D. A., McMahon, G., Kiefer, A. K., Do, C. B., Eriksson, N., Evans, D. M., St Pourcain, B., Ring, S. M., Mountain, J. L., Francke, U., et al. (2013) · Nature Genetics · doi:10.1038/ng.2686 · Cited by 246
Australian Asthma Genetics Consortium (AAGC), Bønnelykke, K., the EArly Genetics and Lifecourse Epidemiology (EAGLE) Consortium, Matheson, M. C., Pers, T. H., Granell, R., Strachan, D. P., Alves, A. C., Linneberg, A., Curtin, J. A., et al. (2013) · Nature Genetics · doi:10.1038/ng.2694 · Cited by 244
Koren, A., Polak, P. P., Nemesh, J. C., Michaelson, J. J., Sebat, J. L., Sunyaev, S. R., & McCarroll, S. A. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.10.018 · Cited by 235
Gelfman, S., Cohen, N., Yearim, A., & Ast, G. (2013) · Genome Research · doi:10.1101/gr.143503.112 · Cited by 231
Heritability and Genetic Correlations Explained by Common SNPs for Metabolic Syndrome Traits
Vattikuti, S., Guo, J., & Chow, C. C. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002637 · Cited by 213
Hoffmann, T. J., Kvale, M. N., Hesselson, S., Zhan, Y., Aquino, C., Cao, Y., Cawley, S. E., Chung, E. H., Connell, S., Eshragh, J. L., et al. (2011) · Genomics · doi:10.1016/j.ygeno.2011.04.005 · Cited by 213
Improved ancestry inference using weights from external reference panels
Chen, C., Pollack, S. J., Hunter, D. J., Hirschhorn, J. N., Kraft, P. L., & Price, A. L. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt144 · Cited by 187
Self-citationThe Impact of Population Demography and Selection on the Genetic Architecture of Complex Traits
Lohmueller, K. E. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004379 · Cited by 154
Linking the SWI/SNF complex to prostate cancer
Lee, R. S., & Roberts, C. W. M. (2013) · Nature Genetics · doi:10.1038/ng.2805 · Cited by 138
Quantifying Missing Heritability at Known GWAS Loci
Gusev, A., Bhatia, G., Zaitlen, N., Vilhjálmsson, B. J., Diogo, D., Stahl, E. A., Gregersen, P. K., Worthington, J., Klareskog, L., Raychaudhuri, S., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003993 · Cited by 125
Self-citationTechnical Note: Computing Strategies in Genome-Wide Selection
Legarra, A., & Misztal, I. (2007) · Journal of Dairy Science · doi:10.3168/jds.2007-0403 · Cited by 112
Population Structure of Hispanics in the United States: The Multi-Ethnic Study of Atherosclerosis
Manichaikul, A. W., Palmas, W., Rodríguez, C. J., Peralta, C. A., Divers, J., Guo, X., Chen, W., Wong, Q., Williams, K., Kerr, K. F., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002640 · Cited by 96
Estimation of SNP Heritability from Dense Genotype Data
Lee, S., Yang, J., Chen, G., Ripke, S., Stahl, E. A., Hultman, C. M., Sklar, P. B., Visscher, P. M., Sullivan, P. F., Goddard, M. E., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.10.015 · Cited by 92
Self-citationPuzzling over schizophrenia: Schizophrenia as a pathway disease
Sullivan, P. F. (2012) · Nature Medicine · doi:10.1038/nm.2670 · Cited by 92
Visscher, P. M., & Goddard, M. E. (2014) · Genetics · doi:10.1534/genetics.114.171017 · Cited by 66
Variance component estimation by resampling
García‐Cortés, L. A., Moreno, C., Varona, L., & Altarriba, J. (1992) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.1992.tb00415.x · Cited by 33
Matilainen, K., Mäntysaari, E. A., Lidauer, M., Strandén, I., & Thompson, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080821 · Cited by 27
Kostem, E., & Eskin, E. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.03.010 · Cited by 25
Galinsky, K. J., Bhatia, G., Loh, P., Georgiev, S., Mukherjee, S., Patterson, N. J., & Price, A. L. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/018143 · Cited by 13
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van Es, M. A., Hardiman, O. M., Chiò, A., Al‐Chalabi, A., Pasterkamp, R. J., Veldink, J. H., & van den Berg, L. H. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31287-4 · Cited by 1,396
Metadata
- Authors
- 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., Kendler, K. S., O'Donovan, M. C., Neale, B. M., Patterson, N., & Price, A. L.
- Affiliations
- Broad Institute (US)
- Massachusetts Institute of Technology (US)
- The University of Queensland (AU)
- Virginia Commonwealth University (US)
- Corresponding author
- Loh, Po-Ru
- Price, Alkes L
- ORCID
- Venue
- Nature Genetics
- Published
- 2015-11-02
- Volume
- 47
- Issue
- 12
- Pages
- 1385-1392
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC4666835
- OpenAlex
- W2168354474
- Cited by
- 449
- References
- 69
- Citations by year
- 2026: 21 · 2025: 27 · 2024: 30 · 2023: 42 · 2022: 46 · 2021: 61 · 2020: 50 · 2019: 52 · 2018: 49 · 2017: 43 · 2016: 25 · 2015: 3
- FWCI
- 27.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- EPubDev Repository (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Lirias (KU Leuven) (submittedVersion)
- RUNE (Research UNE) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (480- 05-003)
- Lundbeckfonden (R155-2014-1724)
- National Institutes of Health (1s10rr028832-01)
- Medical Research Council (MR/L010305/1)
- National Institute of Mental Health (R01MH085548, R01MH101244)
- National Human Genome Research Institute (R01HG006399, F32HG007805)
- National Center for Research Resources (S10 RR028832, 1S10RR028832-01)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- schizophrenia, genetic architecture, polygenic architecture, complex diseases, genetic correlation, heritability, variance component analysis, multi-trait analysis, GC-rich regions, single nucleotide polymorphisms, genetic risk variants
- MeSH terms
- Aging, Algorithms, Analysis of Variance, Humans, Phenotype, Risk Factors, Schizophrenia, Genetic Predisposition to Disease, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Genome-Wide Association Study
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