The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Genome-wide association study identifies 74 loci associated with educational attainment
Open accessAbstract
A genome-wide association study in 293,723 individuals identifies 74 genetic variants associated with educational attainment, which, although only explaining a small proportion of the variation in educational attainment, highlights candidate genes and pathways for further study. The level of educational attainment as measured by years of schooling completed, while strongly influenced by social and environmental factors, has also been shown to have a smaller genetic contribution. Philipp Koellinger, Peter Visscher and colleagues from the Social Science Genetic Association Consortium (SSGAC) now report a genome-wide association study in 293,723 individuals identifying 74 genetic variants associated with level of educational attainment. Although the genetic associations explain only a small proportion of the variation in educational attainment, they highlight candidate genes and pathways for further study. Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals1. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample1,2 of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“Of the 162 SNPs, 158 pass quality-control filters in our updated meta-analysis.”
From Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (2018) · cites this paper as Okbay et al. [10]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Okbay et al. investigated the genetic correlation of EduYears with 14 traits and found positive genetic correlations between EduYears and intracranial volume, bipolar disorder, schizophrenia, cognitive performance, and height and negative genetic correlations between EduYears and Alzheimer’s disease, neuroticism and body mass index in the EUR population9.”
From Shared genetic architectures of educational attainment in East Asian and European populations (2024) · cites this paper as [9]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“At the standard false discovery rate (FDR) threshold of 5%, the bioinformatics tool DEPICT19 prioritizes 1,838 genes (Supplementary Table 7), a tenfold increase relative to the DEPICT results from an earlier GWAS of EduYears10.”
From Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (2018) · cites this paper as [10]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In the subsample of our data (N = 726,808) that did not contribute to the earlier study’s analyses, the SNPs replicate at a rate that closely matches theoretical projections derived from our Bayesian framework (Supplementary Figure 3).”
From Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (2018) · cites this paper as [10]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The largest (N = 293,723) GWAS of EA to date identified 74 approximately independent SNPs at genome-wide significance (hereafter, lead SNPs)”
From Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (2018) · cites this paper as [10]
The cited source says what the claim attributes to it.
In the citing paper
“all major conclusions from the largest previous GWAS of EduYears10 continue to hold but are statistically stronger.”
From Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (2018) · cites this paper as [10]
The cited source says what the claim attributes to it.
In the citing paper
“reported that a 10-million-SNP linear predictor (hereafter, polygenic score) had an out-of-sample predictive power of 3.2%10.”
From Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (2018) · cites this paper as [10]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“we found a strong and highly significant correlation with major depression 21 ( 𝑟 𝐺 = 0.412, p = 1.40 x 10 -25 )”
From Identification of common genetic risk variants for autism spectrum disorder (2019) · cites this paper as [21]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001779 · Cited by 12,728
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559
Self-citationThe Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062
Self-citationCommon polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
Self-citationAn 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
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
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., et al. (2013) · Science · doi:10.1126/science.1235488 · Cited by 827
Self-citationBiological 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
Self-citationGenomic 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
Self-citationVariation in the Heritability of Educational Attainment: An International Meta-Analysis
Branigan, A. R., McCallum, K. J., & Freese, J. (2013) · Social Forces · doi:10.1093/sf/sot076 · Cited by 360
Cited by
Sorted by citations
Verbanck, M., Chen, C.-Y., Neale, B., & Do, R. (2018) · Nature Genetics · doi:10.1038/s41588-018-0099-7 · Cited by 8,591
The GTEx Consortium atlas of genetic regulatory effects across human tissues
The GTEx Consortium, Aguet, F., Anand, S., Ardlie, K. G., Gabriel, S., Getz, G. A., Graubert, A., Hadley, K., Handsaker, R. E., Huang, K. H., et al. (2020) · Science · doi:10.1126/science.aaz1776 · Cited by 5,547
Self-citationReading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
Davies, N. M., Holmes, M. V., & Davey Smith, G. (2018) · BMJ · doi:10.1136/bmj.k601 · Cited by 4,404
Functional mapping and annotation of genetic associations with FUMA
Watanabe, K., Taskesen, E., van Bochoven, A., & Posthuma, D. (2017) · Nature Communications · doi:10.1038/s41467-017-01261-5 · Cited by 4,083
Self-citationeQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0090-3 · Cited by 3,005
Self-citationVõsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Yazar, S., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00913-z · Cited by 2,607
Self-citation23andMe Research Team, Lee, J. J., COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0147-3 · Cited by 2,470
Self-citationIdentification of common genetic risk variants for autism spectrum disorder
Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, Grove, J., BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team, Ripke, S., Als, T. D., Mattheisen, M., Walters, R. K., Won, H., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0344-8 · Cited by 2,421
Self-citationSatterstrom, F. K., Kosmicki, J. A., Wang, J., Breen, M. S., De Rubeis, S., An, J.-Y., Peng, M., Collins, R., Grove, J., Klei, L., et al. (2020) · Cell · doi:10.1016/j.cell.2019.12.036 · Cited by 2,321
Self-citationADHD Working Group of the Psychiatric Genomics Consortium (PGC), Demontis, D., Early Lifecourse & Genetic Epidemiology (EAGLE) Consortium, 23andMe Research Team, Walters, R. K., Martin, J., Mattheisen, M., Als, T. D., Agerbo, E., Baldursson, G., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0269-7 · Cited by 2,203
Self-citationAnalysis of shared heritability in common disorders of the brain
The Brainstorm Consortium, Anttila, V., Bulik-Sullivan, B., Finucane, H. K., Walters, R. K., Bras, J., Duncan, L., Escott-Price, V., Falcone, G. J., Gormley, P., et al. (2018) · Science · doi:10.1126/science.aap8757 · Cited by 1,924
Self-citationGenome-wide association study identifies 30 loci associated with bipolar disorder
eQTLGen Consortium, Stahl, E. A., BIOS Consortium, the Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Breen, G., Forstner, A. J., McQuillin, A., Ripke, S., Trubetskoy, V., Mattheisen, M., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0397-8 · Cited by 1,519
Self-citationMullins, N., Forstner, A. J., O’Connell, K. S., Coombes, B., Coleman, J. R. I., Qiao, Z., Als, T. D., Bigdeli, T. B., Børte, S., Bryois, J., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00857-4 · Cited by 1,517
Self-citationSavage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., de Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0152-6 · Cited by 1,267
Self-citationHuman Demographic History Impacts Genetic Risk Prediction across Diverse Populations
Martin, A. R., Gignoux, C. R., Walters, R. K., Wojcik, G. L., Neale, B. M., Gravel, S., Daly, M. J., Bustamante, C. D., & Kenny, E. E. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.03.004 · Cited by 1,391
Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
Gandal, M. J., Zhang, P., Hadjimichael, E., Walker, R. L., Chen, C., Liu, S., Won, H., van Bakel, H., Varghese, M., Wang, Y., et al. (2018) · Science · doi:10.1126/science.aat8127 · Cited by 1,247
Mendelian randomisation for mediation analysis: current methods and challenges for implementation
Carter, A. R., Sanderson, E., Hammerton, G., Richmond, R. C., Davey Smith, G., Heron, J., Taylor, A. E., Davies, N. M., & Howe, L. D. (2021) · European Journal of Epidemiology · doi:10.1007/s10654-021-00757-1 · Cited by 1,215
Detection and interpretation of shared genetic influences on 42 human traits
Pickrell, J. K., Berisa, T., Liu, J. Z., Ségurel, L., Tung, J. Y., & Hinds, D. A. (2016) · Nature Genetics · doi:10.1038/ng.3570 · Cited by 1,151
Self-citationInitiative, A. N. G., Watson, H. J., Eating Disorders Working Group of the Psychiatric Genomics Consortium, Yilmaz, Z., Thornton, L. M., Hübel, C., Coleman, J. R. I., Gaspar, H. A., Bryois, J., Hinney, A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0439-2 · Cited by 1,109
Self-citationFinucane, H. K., Reshef, Y. A., Anttila, V., Slowikowski, K., Gusev, A., Byrnes, A., Gazal, S., Loh, P.-R., Lareau, C., Shoresh, N., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0081-4 · Cited by 1,097
Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap
Gandal, M. J., Haney, J. R., Parikshak, N. N., Leppa, V., Ramaswami, G., Hartl, C., Schork, A. J., Appadurai, V., Buil, A., Werge, T. M., et al. (2018) · Science · doi:10.1126/science.aad6469 · Cited by 1,095
Self-citationSanderson, E., Davey Smith, G., Windmeijer, F., & Bowden, J. (2019) · International Journal of Epidemiology · doi:10.1093/ije/dyy262 · Cited by 1,085
Comprehensive functional genomic resource and integrative model for the human brain
Wang, D., Liu, S., Warrell, J., Won, H., Shi, X., Navarro, F. C. P., Clarke, D., Gu, M., Emani, P., Yang, Y. T., et al. (2018) · Science · doi:10.1126/science.aat8464 · Cited by 965
Grotzinger, A. D., Rhemtulla, M., de Vlaming, R., Ritchie, S. J., Mallard, T. T., Hill, W. D., Ip, H. F., Marioni, R. E., McIntosh, A. M., Deary, I. J., et al. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0566-x · Cited by 958
Causal associations between risk factors and common diseases inferred from GWAS summary data
Zhu, Z., Zheng, Z., Zhang, F., Wu, Y., Trzaskowski, M., Maier, R., Robinson, M. R., McGrath, J. J., Visscher, P. M., Wray, N. R., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02317-2 · Cited by 951
Self-citationThe nature of nurture: Effects of parental genotypes
Kong, A., Thorleifsson, G., Frigge, M. L., Vilhjalmsson, B. J., Young, A. I., Thorgeirsson, T. E., Benonisdottir, S., Oddsson, A., Halldorsson, B. V., Masson, G., et al. (2018) · Science · doi:10.1126/science.aan6877 · Cited by 949
Self-citationThe genetic architecture of the human cerebral cortex
Grasby, K. L., Jahanshad, N., Painter, J. N., Colodro-Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., Pizzagalli, F., Ching, C. R. K., McMahon, M. A. B., et al. (2020) · Science · doi:10.1126/science.aay6690 · Cited by 876
Self-citationHartwig, F. P., Davies, N. M., Hemani, G., & Davey Smith, G. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyx028 · Cited by 860
23and Me Research Team, Karlsson Linnér, R., eQTLgen Consortium, International Cannabis Consortium, Social Science Genetic Association Consortium, Biroli, P., Kong, E., Meddens, S. F. W., Wedow, R., Fontana, M. A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0309-3 · Cited by 756
Self-citationIntegrative analysis of omics summary data reveals putative mechanisms underlying complex traits
Wu, Y., Zeng, J., Zhang, F., Zhu, Z., Qi, T., Zheng, Z., Lloyd-Jones, L. R., Marioni, R. E., Martin, N. G., Montgomery, G. W., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03371-0 · Cited by 685
Self-citationDavies, G., Lam, M., Harris, S. E., Trampush, J. W., Luciano, M., Hill, W. D., Hagenaars, S. P., Ritchie, S. J., Marioni, R. E., Fawns‐Ritchie, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04362-x · Cited by 686
Self-citationSaid, M. A., Verweij, N., & van der Harst, P. (2018) · JAMA Cardiology · doi:10.1001/jamacardio.2018.1717 · Cited by 663
Self-citationComparative genetic architectures of schizophrenia in East Asian and European populations
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Lam, M., Indonesia Schizophrenia Consortium, Genetic REsearch on schizophreniA neTwork-China and the Netherlands (GREAT-CN), Chen, C.-Y., Li, Z., Martin, A. R., Bryois, J., Ma, X., Gaspar, H., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0512-x · Cited by 655
Self-citationOkbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01016-z · Cited by 654
Self-citationGenetic identification of brain cell types underlying schizophrenia
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Skene, N. G., Bryois, J., Bakken, T. E., Breen, G., Crowley, J. J., Gaspar, H. A., Giusti-Rodriguez, P., Hodge, R. D., Miller, J. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0129-5 · Cited by 651
Male antisocial behaviour in adolescence and beyond
Moffitt, T. E. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0309-4 · Cited by 561
Foley, C. N., Staley, J. R., Breen, P. G., Sun, B. B., Kirk, P., Burgess, S., & Howson, J. M. M. (2021) · Nature Communications · doi:10.1038/s41467-020-20885-8 · Cited by 552
Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis
Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Kasela, S., et al. (2018) · doi:10.1101/447367 · Cited by 2,607
Self-citationA resource-efficient tool for mixed model association analysis of large-scale data
Jiang, L., Zheng, Z., Qi, T., Kemper, K. E., Wray, N. R., Visscher, P. M., & Yang, J. (2019) · Nature Genetics · doi:10.1038/s41588-019-0530-8 · Cited by 526
Self-citationGazal, 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
Self-citationThe new genetics of intelligence
Plomin, R. J., & von Stumm, S. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2017.104 · Cited by 525
iPSYCH-Broad Autism Group, Weiner, D. J., Psychiatric Genomics Consortium Autism Group, Wigdor, E. M., Ripke, S., Walters, R. K., Kosmicki, J. A., Grove, J., Samocha, K. E., Goldstein, J. I., et al. (2017) · Nature Genetics · doi:10.1038/ng.3863 · Cited by 516
Self-citationA Single-Cell Transcriptomic Atlas of Human Neocortical Development during Mid-gestation
Polioudakis, D., de la Torre-Ubieta, L., Langerman, J., Elkins, A. G., Shi, X., Stein, J. L., Vuong, C. K., Nichterwitz, S., Gevorgian, M., Opland, C. K., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.06.011 · Cited by 513
Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., et al. (2017) · Nature Genetics · doi:10.1038/ng.3869 · Cited by 490
Self-citationCultural evolutionary theory: How culture evolves and why it matters
Creanza, N., Kolodny, O., & Feldman, M. W. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1620732114 · Cited by 482
Variable prediction accuracy of polygenic scores within an ancestry group
Mostafavi, H., Harpak, A., Agarwal, I., Conley, D., Pritchard, J. K., & Przeworski, M. (2020) · eLife · doi:10.7554/elife.48376 · Cited by 457
Self-citationUsing genetic data to strengthen causal inference in observational research
Pingault, J.-B., O’Reilly, P. F., Schoeler, T., Ploubidis, G. B., Rijsdijk, F., & Dudbridge, F. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0020-3 · Cited by 444
Qi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04558-1 · Cited by 427
Self-citationFrei, O., Holland, D., Smeland, O. B., Shadrin, A. A., Fan, C. C., Maeland, S., O’Connell, K. S., Wang, Y., Djurovic, S., Thompson, W. K., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10310-0 · Cited by 416
GWAS identifies 14 loci for device-measured physical activity and sleep duration
Doherty, A., Smith-Byrne, K., Ferreira, T., Holmes, M. V., Holmes, C., Pulit, S. L., & Lindgren, C. M. (2018) · Nature Communications · doi:10.1038/s41467-018-07743-4 · Cited by 408
Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior
Ganna, A., Verweij, K. J. H., Nivard, M. G., Maier, R., Wedow, R., Busch, A. S., Abdellaoui, A., Guo, S., Sathirapongsasuti, J. F., 23andMe Research Team, et al. (2019) · Science · doi:10.1126/science.aat7693 · Cited by 406
Self-citationBrumpton, B., Sanderson, E., Heilbron, K., Hartwig, F. P., Harrison, S., Vie, G. Å., Cho, Y., Howe, L. D., Hughes, A., Boomsma, D. I., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17117-4 · Cited by 402
Self-citationModifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis
Larsson, S. C., Traylor, M., Malik, R., Dichgans, M., Burgess, S., & Markus, H. S. (2017) · BMJ · doi:10.1136/bmj.j5375 · Cited by 382
The Dynamic Landscape of Open Chromatin during Human Cortical Neurogenesis
de la Torre-Ubieta, L., Stein, J. L., Won, H., Opland, C. K., Liang, D., Lu, D., & Geschwind, D. H. (2018) · Cell · doi:10.1016/j.cell.2017.12.014 · Cited by 353
Local Genetic Correlation Gives Insights into the Shared Genetic Architecture of Complex Traits
Shi, H., Mancuso, N., Spendlove, S. J., & Paşaniuc, B. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.09.022 · Cited by 351
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
Self-citationSniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E. M. L., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., et al. (2017) · Nature Genetics · doi:10.1038/ng1017-1558c · Cited by 333
Self-citationGenetic evidence of assortative mating in humans
Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour · doi:10.1038/s41562-016-0016 · Cited by 326
Self-citationGenome-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
Self-citationCarter, A. R., Gill, D., Davies, N. M., Taylor, A. E., Tillmann, T., Vaucher, J., Wootton, R. E., Munafo, M. R., Hemani, G., Malik, R., et al. (2019) · BMJ · doi:10.1136/bmj.l1855 · Cited by 323
Multivariate genome-wide analyses of the well-being spectrum
BIOS consortium, Baselmans, B. M. L., Social Science Genetic Association Consortium, Jansen, R., Ip, H. F., van Dongen, J., Abdellaoui, A., van de Weijer, M. P., Bao, Y., Smart, M., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0320-8 · Cited by 320
Self-citationKarlsson Linnér, R., Mallard, T. T., Barr, P. B., Sanchez-Roige, S., Madole, J. W., Driver, M. N., Poore, H. E., de Vlaming, R., Grotzinger, A. D., Tielbeek, J. J., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00908-3 · Cited by 317
“…and candidate gene for psychiatric disorders 37,38 ), neuronal growth regulator 1 ( NEGR1 ; associated with intelligence and educational attainment 39,40 ) and paired basic amino acid cleaving enzyme ( FURIN ; associated with schizophrenia, risk tolerance and vulnerability to psychiatric…”
BackgroundSelf-citationGenetic analysis of social-class mobility in five longitudinal studies
Belsky, D. W., Domingue, B. W., Wedow, R., Arseneault, L., Boardman, J. D., Caspi, A., Conley, D., Fletcher, J. M., Freese, J., Herd, P., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1801238115 · Cited by 315
Self-citationApparent latent structure within the UK Biobank sample has implications for epidemiological analysis
Haworth, S., Mitchell, R., Corbin, L., Wade, K. H., Dudding, T., Budu-Aggrey, A., Carslake, D., Hemani, G., Paternoster, L., Smith, G. D., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-08219-1 · Cited by 314
Self-citationHill, W. D., Marioni, R. E., Maghzian, O., Ritchie, S. J., Hagenaars, S. P., McIntosh, A. M., Gale, C. R., Davies, G., & Deary, I. J. (2019) · Molecular Psychiatry · doi:10.1038/s41380-017-0001-5 · Cited by 311
Self-citationGenome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
McCartney, D. L., Min, J. L., Richmond, R. C., Lu, A. T.-H., Sobczyk, M., Davies, G., Broer, L., Guo, X., Jeong, A., Jung, J., et al. (2021) · Genome biology · doi:10.1186/s13059-021-02398-9 · Cited by 310
Self-citationThe causal effects of education on health outcomes in the UK Biobank
Davies, N. M., Dickson, M., Davey Smith, G., van den Berg, G. J., & Windmeijer, F. (2018) · Nature Human Behaviour · doi:10.1038/s41562-017-0279-y · Cited by 302
Predicting Polygenic Risk of Psychiatric Disorders
Martin, A. R., Daly, M. J., Robinson, E., Hyman, S. E., & Neale, B. M. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.12.015 · Cited by 301
Education and myopia: assessing the direction of causality by mendelian randomisation
Mountjoy, E., Davies, N. M., Plotnikov, D., Smith, G. D., Rodriguez, S., Williams, C. E., Guggenheim, J. A., & Atan, D. (2018) · BMJ · doi:10.1136/bmj.k2022 · Cited by 299
Item-level analyses reveal genetic heterogeneity in neuroticism
Nagel, M., Watanabe, K., Stringer, S., Posthuma, D., & van der Sluis, S. (2018) · Nature Communications · doi:10.1038/s41467-018-03242-8 · Cited by 275
Self-citationAndreassen, O. A., Hindley, G., Frei, O., & Smeland, O. B. (2023) · World Psychiatry · doi:10.1002/wps.21034 · Cited by 284
Trampush, J. W., Yang, M. L. Z., Yu, J., Knowles, E., Davies, G., Liewald, D. C., Starr, J. M., Djurovic, S., Melle, I., Sundet, K., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.244 · Cited by 271
Self-citationNyberg, L. H., & Pudas, S. (2018) · Annual Review of Psychology · doi:10.1146/annurev-psych-010418-103052 · Cited by 272
Mancuso, N., Shi, H., Goddard, P. C., Kichaev, G., Gusev, A., & Paşaniuc, B. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.01.031 · Cited by 266
Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms
Walker, R. L., Ramaswami, G., Hartl, C., Mancuso, N., Gandal, M. J., de la Torre-Ubieta, L., Paşaniuc, B., Stein, J. L., & Geschwind, D. H. (2019) · Cell · doi:10.1016/j.cell.2019.09.021 · Cited by 262
Genetic correlates of social stratification in Great Britain
Abdellaoui, A., Hugh-Jones, D., Yengo, L., Kemper, K. E., Nivard, M. G., Veul, L., Holtz, Y., Zietsch, B. P., Frayling, T. M., Wray, N. R., et al. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0757-5 · Cited by 261
Self-citationSumHer better estimates the SNP heritability of complex traits from summary statistics
Speed, D., & Balding, D. J. (2019) · Nature Genetics · doi:10.1038/s41588-018-0279-5 · Cited by 254
Epigenetic prediction of complex traits and death
McCartney, D. L., Hillary, R. F., Stevenson, A. J., Ritchie, S. J., Walker, R. M., Zhang, Q., Morris, S. W., Bermingham, M. L., Campbell, A., Murray, A. D., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1514-1 · Cited by 249
Self-citationGenome-wide association study of medication-use and associated disease in the UK Biobank
Wu, Y., Byrne, E. M., Zheng, Z., Kemper, K. E., Yengo, L., Mallett, A. J., Yang, J., Visscher, P. M., & Wray, N. R. (2019) · Nature Communications · doi:10.1038/s41467-019-09572-5 · Cited by 243
Self-citationHolland, D., Frei, O., Desikan, R. S., Fan, C. C., Shadrin, A. A., Smeland, O. B., Sundar, V. S., Thompson, P. M., Andreassen, O. A., & Dale, A. M. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008612 · Cited by 239
Is atypical rhythm a risk factor for developmental speech and language disorders?
Ladányi, E., Persici, V., Fiveash, A., Tillmann, B., & Gordon, R. L. (2020) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1528 · Cited by 236
Education and coronary heart disease: mendelian randomisation study
Tillmann, T., Vaucher, J., Okbay, A., Pikhart, H., Peasey, A., Kubinova, R., Pajak, A., Tamosiunas, A., Malyutina, S., Hartwig, F. P., et al. (2017) · BMJ · doi:10.1136/bmj.j3542 · Cited by 225
Self-citationWu, Y., Murray, G. K., Byrne, E. M., Sidorenko, J., Visscher, P. M., & Wray, N. R. (2021) · Nature Communications · doi:10.1038/s41467-021-21280-7 · Cited by 220
Self-citationGene–obesogenic environment interactions in the UK Biobank study
Tyrrell, J., Wood, A. R., Ames, R. M., Yaghootkar, H., Beaumont, R. N., Jones, S. E., Tuke, M. A., Ruth, K. S., Freathy, R. M., Smith, G. D., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw337 · Cited by 212
Self-citationShared Molecular Neuropathology Across Major Psychiatric Disorders Parallels Polygenic Overlap
Gandal, M. J., Haney, J. R., Parikshak, N., Leppä, V., Ramaswami, G., Hartl, C., Schork, A. J., Appadurai, V., Buil, A., Werge, T. M., et al. (2019) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.17103 · Cited by 212
Human longevity: 25 genetic loci associated in 389,166 UK biobank participants
Pilling, L. C., Kuo, C.-L., Sicinski, K., Tamosauskaite, J., Kuchel, G. A., Harries, L. W., Herd, P., Wallace, R., Ferrucci, L., & Melzer, D. (2017) · Aging · doi:10.18632/aging.101334 · Cited by 211
The polygenic architecture of schizophrenia — rethinking pathogenesis and nosology
Smeland, O. B., Frei, O., Dale, A. M., & Andreassen, O. A. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-020-0364-0 · Cited by 214
Qi, G., & Chatterjee, N. (2019) · Nature Communications · doi:10.1038/s41467-019-09432-2 · Cited by 207
Gelernter, J. E., Sun, N., Polimanti, R. A., Pietrzak, R. H., Levey, D. F., Bryois, J., Lu, Q., Hu, Y., Li, B., Radhakrishnan, K., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0447-7 · Cited by 205
Annual Research Review: Reading disorders revisited – the critical importance of oral language
Snowling, M. J., & Hulme, C. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13324 · Cited by 204
Circulating metabolites and general cognitive ability and dementia: evidence from 11 cohort studies
van der Lee, S. J., Teunissen, C. E., Pool, R., Shipley, M. J., Teumer, A., Chouraki, V., Melo van Lent, D., Tynkkynen, J., Fischer, K., Hernesniemi, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.11.012 · Cited by 197
Self-citationGenome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior
Tielbeek, J. J., Johansson, A., Polderman, T. J. C., Rautiainen, M.-R., Jansen, P., Taylor, M., Tong, X., Lu, Q., Burt, A. S., Tiemeier, H., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.3069 · Cited by 194
Self-citationPleiotropy robust methods for multivariable Mendelian randomization
Grant, A. J., & Burgess, S. (2021) · Statistics in Medicine · doi:10.1002/sim.9156 · Cited by 194
Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex
Mich, J. K., Graybuck, L. T., Hess, E. E., Mahoney, J. T., Kojima, Y., Ding, Y., Somasundaram, S., Miller, J. A., Kalmbach, B. E., Radaelli, C., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108754 · Cited by 193
Taylor, A. E., Jones, H. J., Sallis, H., Euesden, J., Stergiakouli, E., Davies, N. M., Zammit, S., Lawlor, D. A., Munafò, M. R., Davey Smith, G., et al. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyy060 · Cited by 192
Cole, J. B., Florez, J. C., & Hirschhorn, J. N. (2020) · Nature Communications · doi:10.1038/s41467-020-15193-0 · Cited by 188
An atlas of gene regulatory elements in adult mouse cerebrum
Li, Y. E., Preissl, S., Hou, X., Zhang, Z., Zhang, K., Qiu, Y., Poirion, O. B., Li, B., Chiou, J., Liu, H., et al. (2021) · Nature · doi:10.1038/s41586-021-03604-1 · Cited by 185
Self-citationGenomic prediction of cognitive traits in childhood and adolescence
Allegrini, A. G., Selzam, S., Rimfeld, K., von Stumm, S., Pingault, J., & Plomin, R. J. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0394-4 · Cited by 182
Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
Hill, W. D., Davies, N. M., Ritchie, S. J., Skene, N., Bryois, J., Bell, S., Angelantonio, E. D., Roberts, D. J., Shen, X., Davies, G., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13585-5 · Cited by 186
Self-citationUsing genetics for social science
Harden, K. P., & Koellinger, P. D. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0862-5 · Cited by 180
Self-citation
Metadata
- Authors
- Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G.-B., Emilsson, V., Meddens, S. F. W., Oskarsson, S., Pickrell, J. K., Thom, K., Timshel, P., de Vlaming, R., Abdellaoui, A., Ahluwalia, T. S., Bacelis, J., Baumbach, C., Bjornsdottir, G., Brandsma, J. H., Pina Concas, M., Derringer, J., Furlotte, N. A., Galesloot, T. E., Girotto, G., Gupta, R., Hall, L. M., Harris, S. E., Hofer, E., Horikoshi, M., Huffman, J. E., Kaasik, K., Kalafati, I. P., Karlsson, R., Kong, A., Lahti, J., Lee, S. J. V. D., deLeeuw, C., Lind, P. A., Lindgren, K.-O., Liu, T., Mangino, M., Marten, J., Mihailov, E., Miller, M. B., van der Most, P. J., Oldmeadow, C., Payton, A., Pervjakova, N., Peyrot, W. J., Qian, Y., Raitakari, O., Rueedi, R., Salvi, E., Schmidt, B., Schraut, K. E., Shi, J., Smith, A. V., Poot, R. A., St Pourcain, B., Teumer, A., Thorleifsson, G., Verweij, N., Vuckovic, D., Wellmann, J., Westra, H.-J., Yang, J., Zhao, W., Zhu, Z., Alizadeh, B. Z., Amin, N., Bakshi, A., Baumeister, S. E., Biino, G., Bønnelykke, K., Boyle, P. A., Campbell, H., Cappuccio, F. P., Davies, G., De Neve, J.-E., Deloukas, P., Demuth, I., Ding, J., Eibich, P., Eisele, L., Eklund, N., Evans, D. M., Faul, J. D., Feitosa, M. F., Forstner, A. J., Gandin, I., Gunnarsson, B., Halldórsson, B. V., Harris, T. B., Heath, A. C., Hocking, L. J., Holliday, E. G., Homuth, G., Horan, M. A., Hottenga, J.-J., de Jager, P. L., Joshi, P. K., Jugessur, A., Kaakinen, M. A., Kähönen, M., Kanoni, S., Keltigangas-Järvinen, L., Kiemeney, L. A. L. M., Kolcic, I., Koskinen, S., Kraja, A. T., Kroh, M., Kutalik, Z., Latvala, A., Launer, L. J., Lebreton, M. P., Levinson, D. F., Lichtenstein, P., Lichtner, P., Liewald, D. C. M., Cohort Study, L., Loukola, A., Madden, P. A., Mägi, R., Mäki-Opas, T., Marioni, R. E., Marques-Vidal, P., Meddens, G. A., McMahon, G., Meisinger, C., Meitinger, T., Milaneschi, Y., Milani, L., Montgomery, G. W., Myhre, R., Nelson, C. P., Nyholt, D. R., Ollier, W. E. R., Palotie, A., Paternoster, L., Pedersen, N. L., Petrovic, K. E., Porteous, D. J., Räikkönen, K., Ring, S. M., Robino, A., Rostapshova, O., Rudan, I., Rustichini, A., Salomaa, V., Sanders, A. R., Sarin, A.-P., Schmidt, H., Scott, R. J., Smith, B. H., Smith, J. A., Staessen, J. A., Steinhagen-Thiessen, E., Strauch, K., Terracciano, A., Tobin, M. D., Ulivi, S., Vaccargiu, S., Quaye, L., van Rooij, F. J. A., Venturini, C., Vinkhuyzen, A. A. E., Völker, U., Völzke, H., Vonk, J. M., Vozzi, D., Waage, J., Ware, E. B., Willemsen, G., Attia, J. R., Bennett, D. A., Berger, K., Bertram, L., Bisgaard, H., Boomsma, D. I., Borecki, I. B., Bültmann, U., Chabris, C. F., Cucca, F., Cusi, D., Deary, I. J., Dedoussis, G. V., van Duijn, C. M., Eriksson, J. G., Franke, B., Franke, L., Gasparini, P., Gejman, P. V., Gieger, C., Grabe, H.-J., Gratten, J., Groenen, P. J. F., Gudnason, V., van der Harst, P., Hayward, C., Hinds, D. A., Hoffmann, W., Hyppönen, E., Iacono, W. G., Jacobsson, B., Järvelin, M.-R., Jöckel, K.-H., Kaprio, J., Kardia, S. L. R., Lehtimäki, T., Lehrer, S. F., Magnusson, P. K. E., Martin, N. G., McGue, M., Metspalu, A., Pendleton, N., Penninx, B. W. J. H., Perola, M., Pirastu, N., Pirastu, M., Polasek, O., Posthuma, D., Power, C., Province, M. A., Samani, N. J., Schlessinger, D., Schmidt, R., Sørensen, T. I. A., Spector, T. D., Stefansson, K., Thorsteinsdottir, U., Thurik, A. R., Timpson, N. J., Tiemeier, H., Tung, J. Y., Uitterlinden, A. G., Vitart, V., Vollenweider, P., Weir, D. R., Wilson, J. F., Wright, A. F., Conley, D. C., Krueger, R. F., Davey Smith, G., Hofman, A., Laibson, D. I., Medland, S. E., Meyer, M. N., Yang, J., Johannesson, M., Visscher, P. M., Esko, T., Koellinger, P. D., Cesarini, D., & Benjamin, D. J.
- Affiliations
- Erasmus MC (NL)
- Harvard University (US)
- University of Southern California (US)
- University of Minnesota (US)
- Statens Serum Institut (DK)
- The University of Queensland (AU)
- University of Iceland (IS)
- Vrije Universiteit Amsterdam (NL)
- Uppsala University (SE)
- New York Genome Center (US)
- New York University (US)
- Broad Institute (US)
- University of Copenhagen (DK)
- Helmholtz Munich (DE)
- University of Illinois Urbana-Champaign (US)
- 23andMe (United States) (US)
- Radboud University Medical Center (NL)
- University of Trieste (IT)
- University of Helsinki (FI)
- University of Leicester (GB)
- University of Edinburgh (GB)
- Medical University of Graz (AT)
- Centre for Human Genetics (GB)
- Institute of Genetics and Cancer (GB)
- Harokopio University of Athens (GR)
- Karolinska Institutet (SE)
- deCODE Genetics (Iceland) (IS)
- QIMR Berghofer Medical Research Institute (AU)
- Max Planck Institute for Human Development (DE)
- King's College London (GB)
- University of Tartu (EE)
- Hunter Medical Research Institute (AU)
- University of Manchester (GB)
- Finnish Institute for Health and Welfare (FI)
- GGZ inGeest (NL)
- National Institute on Aging (US)
- University of Turku (FI)
- SIB Swiss Institute of Bioinformatics (CH)
- University of Milan (IT)
- Institut für Medizinische Informatik, Biometrie und Epidemiologie (DE)
- National Cancer Institute (US)
- Universitätsmedizin Greifswald (DE)
- University Medical Center Groningen (NL)
- University of Münster (DE)
- Rush University Medical Center (US)
- University of Michigan (US)
- National Research Council (IT)
- University of Warwick (GB)
- Queen Mary University of London (GB)
- Charité – Universitätsmedizin Berlin (DE)
- German Institute for Economic Research (DE)
- Translational Research Institute (AU)
- Washington University in St. Louis (US)
- University of Bonn (DE)
- Reykjavík University (IS)
- National Institutes of Health (US)
- University of Aberdeen (GB)
- Norwegian Institute of Public Health (NO)
- Imperial College London (GB)
- Tampere University (FI)
- University of Amsterdam (NL)
- Stanford University (US)
- Centre Hospitalier Universitaire Vaudois (CH)
- Premiere (BW)
- University of Bristol (GB)
- Queensland University of Technology (AU)
- IRCCS Materno Infantile Burlo Garofolo (IT)
- Endeavor Health (US)
- University of Graz (AT)
- University of Dundee (GB)
- Maastricht University (NL)
- Florida State University (US)
- Institute of Genetic and Biomedical Research (IT)
- Social Impact (United States) (US)
- Institute for Integrative and Experimental Genomics (DE)
- Union College (US)
- Donders Centre for Neuroscience (NL)
- Erasmus University Rotterdam (NL)
- University of South Australia (AU)
- Oulu University Hospital (FI)
- Queen's University (CA)
- University College London (GB)
- Union Graduate College (US)
- Stockholm School of Economics (SE)
- Corresponding author
- Visscher, Peter M.
- Koellinger, Philipp D.
- Cesarini, David
- Benjamin, Daniel J.
- ORCID
- Okbay, Aysu
- Beauchamp, Jonathan P.
- Lee, James J.
- Pers, Tune H.
- Rietveld, Cornelius A.
- Turley, Patrick
- Chen, Guo-Bo
- Emilsson, Valur
- Meddens, S. Fleur W.
- Oskarsson, Sven
- Timshel, Pascal
- Abdellaoui, Abdel
- Ahluwalia, Tarunveer S.
- Baumbach, Clemens
- Derringer, Jaime
- Galesloot, Tessel E.
- Girotto, Giorgia
- Gupta, Richa
- Harris, Sarah E.
- Hofer, Edith
- Horikoshi, Momoko
- Huffman, Jennifer E.
- Kalafati, Ioanna P.
- Karlsson, Robert
- Kong, Augustine
- Lahti, Jari
- Lee, Sven J. van der
- Lind, Penelope A.
- Lindgren, Karl-Oskar
- Mangino, Massimo
- Marten, Jonathan
- Oldmeadow, Christopher
- Payton, Antony
- Peyrot, Wouter J.
- Raitakari, Olli
- Rueedi, Rico
- Salvi, Erika
- Schmidt, Börge
- Shi, Jianxin
- Smith, Albert V.
- Poot, Raymond A.
- Teumer, Alexander
- Verweij, Niek
- Vuckovic, Dragana
- Westra, Harm-Jan
- Zhu, Zhihong
- Alizadeh, Behrooz Z.
- Amin, Najaf
- Bakshi, Andrew
- Baumeister, Sebastian E.
- Biino, Ginevra
- Bønnelykke, Klaus
- Boyle, Patricia A.
- Cappuccio, Francesco P.
- Deloukas, Panos
- Demuth, Ilja
- Ding, Jun
- Eibich, Peter
- Evans, David M.
- Faul, Jessica D.
- Feitosa, Mary F.
- Forstner, Andreas J.
- Gandin, Ilaria
- Halldórsson, Bjarni V.
- Harris, Tamara B.
- Heath, Andrew C.
- Hocking, Lynne J.
- Homuth, Georg
- Hottenga, Jouke-Jan
- Joshi, Peter K.
- Jugessur, Astanand
- Kaakinen, Marika A.
- Kähönen, Mika
- Kanoni, Stavroula
- Kiemeney, Lambertus A. L. M.
- Kroh, Martin
- Latvala, Antti
- Launer, Lenore J.
- Lebreton, Maël P.
- Levinson, Douglas F.
- Lichtenstein, Paul
- Lichtner, Peter
- Liewald, David C. M.
- Loukola, Anu
- Madden, Pamela A.
- Mägi, Reedik
- Mäki-Opas, Tomi
- Marioni, Riccardo E.
- Marques-Vidal, Pedro
- Meisinger, Christa
- Meitinger, Thomas
- Milani, Lili
- Montgomery, Grant W.
- Myhre, Ronny
- Nelson, Christopher P.
- Nyholt, Dale R.
- Ollier, William E. R.
- Palotie, Aarno
- Paternoster, Lavinia
- Pedersen, Nancy L.
- Räikkönen, Katri
- Ring, Susan M.
- Robino, Antonietta
- Rudan, Igor
- Rustichini, Aldo
- Salomaa, Veikko
- Sanders, Alan R.
- Sarin, Antti-Pekka
- Scott, Rodney J.
- Smith, Blair H.
- Smith, Jennifer A.
- Staessen, Jan A.
- Strauch, Konstantin
- Terracciano, Antonio
- Tobin, Martin D.
- Ulivi, Sheila
- Vaccargiu, Simona
- Venturini, Cristina
- Vinkhuyzen, Anna A. E.
- Völker, Uwe
- Vonk, Judith M.
- Vozzi, Diego
- Waage, Johannes
- Ware, Erin B.
- Willemsen, Gonneke
- Attia, John R.
- Bennett, David A.
- Bertram, Lars
- Bisgaard, Hans
- Boomsma, Dorret I.
- Borecki, Ingrid B.
- Bültmann, Ute
- Chabris, Christopher F.
- Cucca, Francesco
- Deary, Ian J.
- Dedoussis, George V.
- Eriksson, Johan G.
- Franke, Barbara
- Franke, Lude
- Gasparini, Paolo
- Gieger, Christian
- Gratten, Jacob
- Groenen, Patrick J. F.
- Gudnason, Vilmundur
- Hayward, Caroline
- Hinds, David A.
- Hyppönen, Elina
- Iacono, William G.
- Jacobsson, Bo
- Järvelin, Marjo-Riitta
- Kaprio, Jaakko
- Lehtimäki, Terho
- Magnusson, Patrik K. E.
- Martin, Nicholas G.
- McGue, Matt
- Metspalu, Andres
- Pendleton, Neil
- Penninx, Brenda W. J. H.
- Pirastu, Nicola
- Power, Christine
- Province, Michael A.
- Samani, Nilesh J.
- Schmidt, Reinhold
- Spector, Tim D.
- Timpson, Nicholas J.
- Tiemeier, Henning
- Uitterlinden, André G.
- Weir, David R.
- Wilson, James F.
- Conley, Dalton C.
- Krueger, Robert F.
- Laibson, David I.
- Medland, Sarah E.
- Yang, Jian
- Johannesson, Magnus
- Visscher, Peter M.
- Esko, Tõnu
- Koellinger, Philipp D.
- Cesarini, David
- Benjamin, Daniel J.
- Venue
- Nature
- Published
- 2016-05-11
- Volume
- 533
- Issue
- 7604
- Pages
- 539-542
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4883595
- OpenAlex
- W2346626662
- Cited by
- 1,297
- References
- 16
- Citations by year
- 2026: 44 · 2025: 81 · 2024: 88 · 2023: 110 · 2022: 119 · 2021: 130 · 2020: 190 · 2019: 170 · 2018: 176 · 2017: 140 · 2016: 48
- FWCI
- 143.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
- VU Research Portal (publishedVersion)
- e-space (Manchester Metropolitan University) (acceptedVersion, other-oa)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UniSA Research Outputs Repository (University of South Australia) (acceptedVersion)
- Discovery Research Portal (University of Dundee) (acceptedVersion, other-oa)
- Leicester Research Archive (University of Leicester) (acceptedVersion, other-oa)
- Bristol Research (University of Bristol) (acceptedVersion, other-oa)
- SERVAL (Université de Lausanne) (acceptedVersion, other-oa)
- HAL (submittedVersion, other-oa)
- Max Planck Digital Library (submittedVersion, other-oa)
- IRIS (submittedVersion, other-oa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) (submittedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, other-oa)
- University of Regensburg Publication Server (University of Regensburg) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- Figshare (submittedVersion)
- UnissResearch (Università degli Studi di Sassari) (submittedVersion)
- Lirias (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Site cant be reached (submittedVersion)
- PUB – Publications at Bielefeld University (Bielefeld University) (submittedVersion)
- Publikationen an der Universität Bielefeld (Universität Bielefeld) (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion, other-oa)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- OPUS (Augsburg University) (submittedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- WOS
- ERIM Top-Core Articles
- Funders
- Brigham and Women's Hospital
- Massachusetts General Hospital
- Florida State University
- University of Minnesota
- Helsingin Yliopisto
- New York University Shanghai
- University of Dundee
- Queen Mary University of London
- NorthShore University HealthSystem
- QIMR Berghofer Medical Research Institute
- Broad Institute
- York University
- National Institute for Health and Care Research (NF-SI-0514-10027)
- University of Leicester
- Imperial College London
- University of Oxford
- University of Manchester
- University of Aberdeen
- Hunter Medical Research Institute
- Rijksuniversiteit Groningen
- University of South Australia
- Universiteit van Amsterdam
- Erasmus Universiteit Rotterdam
- Universiteit Maastricht
- Erasmus Medisch Centrum
- Queen's University
- Lundbeckfonden (R163-2013-16235, R190 2014-3904)
- King Abdulaziz University (21589)
- Universität zu Lübeck
- Vetenskapsrådet (421-2013-1061)
- Tampereen Yliopisto
- Consiglio Nazionale delle Ricerche
- Universitair Medisch Centrum Groningen
- Oulun Yliopisto
- Centre Hospitalier Universitaire Vaudois
- Rheinische Friedrich-Wilhelms-Universität Bonn
- Tays
- Terveyden ja hyvinvoinnin laitos
- Háskólinn í Reykjavík
- National Institutes of Health (AG042568)
- School of Medicine, New York University
- Stanley Center for Psychiatric Research, Broad Institute
- Medical Research Council (MR/N01104X/1, MR/J012165/1, MR/K026992/1)
- Biotechnology and Biological Sciences Research Council (BB/F022441/1)
- Economic and Social Research Council (ES/M010341/1)
- Helmholtz Zentrum München
- Netherlands Heart Institute
- School of Public Health, Imperial College London
- Amsterdam Brain and Cognition
- Biocenter, University of Oulu
- Diamantina Institute, University of Queensland
- Norwegian Institute of Public Health
- National Institute on Aging (R01AG017917, R01AG015819, P30AG010161, T32AG000186, AG005842, RF1AG015819, R01AG042568, P01AG005842, P30AG012810, U01AG009740)
- National Institute on Drug Abuse (R01DA036216, R37DA005147)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD047879)
- Institute of Genetics
- H2020 European Research Council (647648)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- educational attainment, genetic variants, years of schooling, candidate genes, neural development, genetic architecture, cognitive characteristics, neuropsychiatric disorders
- MeSH terms
- Alzheimer Disease, Bipolar Disorder, Brain, Cognition, Educational Status, Fetus, Gene Expression Regulation, United Kingdom, Humans, Schizophrenia, Computational Biology, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Molecular Sequence Annotation, Gene-Environment Interaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review