GWAS Summary Statistics

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In addition, when downloading the sumstats you agree not to attempt to identify individual participants and not to use the sumstats for projects that may lead to stigmatizing individuals or groups of individuals.

Commercial use: If you want to use the sumstats commercially, you must first get our permission to do so. We support many commercial uses, and in most cases can freely share after a quick evaluation process. Please send an e-mail to Danielle Posthuma.

Summary statistics for Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study from Tissink et al., 2024.

A preprint of this paper can be found here: https://www.biorxiv.org/content/10.1101/2022.12.20.521181v3.full.
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Summary statistics for Investigating genetically stratified subgroups to better understand the etiology of alcohol misuse from Thijssen et al., 2023.

Thijssen, A. B., Spit for Science Working Group, Dick, D. M., Posthuma, D., & Savage, J. E. (2023). Investigating genetically stratified subgroups to better understand the etiology of alcohol misuse. Molecular psychiatry, 28(10), 4225–4233. https://doi.org/10.1038/s41380-023-02174-0. .

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Summary statistics for The genetic overlap between Alzheimer’s disease, amyotrophic lateral sclerosis, Lewy body dementia, and Parkinson’s disease from Wightman et al. 2023

Wightman, D. P., Savage, J. E., Tissink, E., Romero, C., Jansen, I. E., & Posthuma, D. (2023). The genetic overlap between Alzheimer’s disease, amyotrophic lateral sclerosis, Lewy body dementia, and Parkinson’s disease. Neurobiology of aging, 127, 99–112. https://doi.org/10.1016/j.neurobiolaging.2023.03.004

Please cite this reference when using the common factor model summary statistics. Use this link to download files associated with this publication. Please cite A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease. (Nature Genetics 2021) when using the PGCALZ2 data which excluded the UK Biobank and 23andMe data.

Summary statistics for Specificity and overlap in the genetic architectures of functional and structural connectivity within cerebral resting-state networks from Tissink et al. 2023

Tissink, E., Werme, J., de Lange, S. C., Savage, J. E., Wei, Y., de Leeuw, C. A., Nagel, M., Posthuma, D., & van den Heuvel, M. P. (2023). The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks. eNeuro, 10(4), ENEURO.0242-22.2023. https://doi.org/10.1523/ENEURO.0242-22.2023

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Summary statistics for Disentangling Genetic Risks for Metabolic Syndrome from van Walree et al. 2022

van Walree, E. S., Jansen, I. E., Bell, N. Y., Savage, J. E., de Leeuw, C., Nieuwdorp, M., van der Sluis, S., & Posthuma, D. (2022). Disentangling Genetic Risks for Metabolic Syndrome. Diabetes, 71(11), 2447–2457. https://doi.org/10.2337/db22-0478

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Summary statistics for Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis from Tielbeek et al. 2022

Tielbeek, J. J., Uffelmann, E., Williams, B. S., Colodro-Conde, L., Gagnon, É., Mallard, T. T., Levitt, B. E., Jansen, P. R., Johansson, A., Sallis, H. M., Pistis, G., Saunders, G. R. B., Allegrini, A. G., Rimfeld, K., Konte, B., Klein, M., Hartmann, A. M., Salvatore, J. E., Nolte, I. M., Demontis, D., … Posthuma, D. (2022). Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis. Molecular psychiatry, 27(11), 4453–4463. https://doi.org/10.1038/s41380-022-01793-3

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Summary statistics for Exploring the genetic relationship between twelve psychiatric disorders from Romero et al. 2022

Romero, C., Werme, J., Jansen, P. R., Gelernter, J., Stein, M. B., Levey, D., Polimanti, R., de Leeuw, C., Posthuma, D., Nagel, M., & van der Sluis, S. (2022). Exploring the genetic overlap between twelve psychiatric disorders. Nature genetics, 54(12), 1795–1802. https://doi.org/10.1038/s41588-022-01245-2

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Summary statistics for Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health from Tissink et al., 2022

Tissink, E., de Lange, S. C., Savage, J. E., Wightman, D. P., de Leeuw, C. A., Kelly, K. M., Nagel, M., van den Heuvel, M. P., & Posthuma, D. (2022). Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health. Communications biology, 5(1), 710. https://doi.org/10.1038/s42003-022-03672-7

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Summary statistics for Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways from Watanabe et al., 2022

Watanabe, K., Jansen, P. R., Savage, J. E., Nandakumar, P., Wang, X., 23andMe Research Team, Hinds, D. A., Gelernter, J., Levey, D. F., Polimanti, R., Stein, M. B., Van Someren, E. J. W., Smit, A. B., & Posthuma, D. (2022). Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways. Nature genetics, 54(8), 1125–1132. https://doi.org/10.1038/s41588-022-01124-w

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The summary statistics exclude the 23andMe data used in the manuscript meta-analysis. Access to the full set, including 23andMe results, can be obtained after approval from 23andMe is presented to the corresponding author. Approval can be obtained by completion of a Data Transfer Agreement.

Summary statistics for A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease from Wightman et al., 2021

Wightman, D. P., Jansen, I. E., Savage, J. E., Shadrin, A. A., Bahrami, S., Holland, D., Rongve, A., Børte, S., Winsvold, B. S., Drange, O. K., Martinsen, A. E., Skogholt, A. H., Willer, C., Bråthen, G., Bosnes, I., Nielsen, J. B., Fritsche, L. G., Thomas, L. F., Pedersen, L. M., Gabrielsen, M. E., … Posthuma, D. (2021). A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease. Nature genetics, 53(9), 1276–1282. https://doi.org/10.1038/s41588-021-00921-z

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Summary statistics for Genome-wide gene-environment interactions in neuroticism: an exploratory study across 25 environments from Werme et al., 2021

Werme, J., van der Sluis, S., Posthuma, D., & de Leeuw, C. A. (2021). Genome-wide gene-environment interactions in neuroticism: an exploratory study across 25 environments. Translational psychiatry, 11(1), 180. https://doi.org/10.1038/s41398-021-01288-9

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Summary statistics for Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence from Jansen PR, Nagel et al., 2020

Jansen, P. R., Nagel, M., Watanabe, K., Wei, Y., Savage, J. E., de Leeuw, C. A., van den Heuvel, M. P., van der Sluis, S., & Posthuma, D. (2020). Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence. Nature communications, 11(1), 5606. https://doi.org/10.1038/s41467-020-19378-5

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Summary statistics for Sensitivity to Environmental Stress and Adversity (SESA) neuroticism cluster from Nagel et al., 2020

Nagel, M., Speed, D., van der Sluis, S., & Østergaard, S. D. Genome‐wide association study of the sensitivity to environmental stress and adversity (SESA) neuroticism cluster Acta Psychiatrica Scandinavica, 2020, May;141(5):476-478. doi: 10.1111/acps.13155.

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Summary statistics from A global overview of pleiotropy and genetic architecture in complex traits from Watanabe et al., 2019; included in the gwasATLAS.

Watanabe, K., Stringer, S., Frei, O., Umićević Mirkov, M., de Leeuw, C., Polderman, T. J. C., van der Sluis, S., Andreassen, O. A., Neale, B. M., & Posthuma, D. (2019). A global overview of pleiotropy and genetic architecture in complex traits. Nature genetics, 51(9), 1339–1348. https://doi.org/10.1038/s41588-019-0481-0

Please cite this reference when using the summary statistics. The sumstats files contains 600 sumstats from 600 traits from UKBiobank release 2, that were used in the above study. Use this link to download files associated with this publication.

Warning: Please be aware that this directory is very large, download the individual sumstats separately if only a subset is needed. Please see the ukb2_gwas_pheno_info.xlsx files and README for information on the phenotypes and phenotype IDs.

Summary statistics for Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways (insomnia, wave 2) from Jansen PR et al., 2019

Jansen, P. R., Watanabe, K., Stringer, S., Skene, N., Bryois, J., Hammerschlag, A. R., de Leeuw, C. A., Benjamins, J. S., Muñoz-Manchado, A. B., Nagel, M., Savage, J. E., Tiemeier, H., White, T., 23andMe Research Team, Tung, J. Y., Hinds, D. A., Vacic, V., Wang, X., Sullivan, P. F., van der Sluis, S., … Posthuma, D. (2019). Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways. Nature genetics, 51(3), 394–403. https://doi.org/10.1038/s41588-018-0333-3

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.
Note that sumstats do not include 23andme results, please refer to the manuscript on how to access these.

Summary statistics for Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk from Jansen IE et al., 2019

Jansen, I. E., Savage, J. E., Watanabe, K., Bryois, J., Williams, D. M., Steinberg, S., Sealock, J., Karlsson, I. K., Hägg, S., Athanasiu, L., Voyle, N., Proitsi, P., Witoelar, A., Stringer, S., Aarsland, D., Almdahl, I. S., Andersen, F., Bergh, S., Bettella, F., Bjornsson, S., … Posthuma, D. (2019). Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk. Nature genetics, 51(3), 404–413. https://doi.org/10.1038/s41588-018-0311-9

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Note – update 2019 december:

AD_sumstats_Jansenetal_2019sept.txt.gz are an updated version of the original summary statistics. In the meta-analysis of the previous version, the UKB dataset was weighted with an incorrect sample size, overestimating it by max 22,246 (5%). This resulted in a slight underestimate of effect sizes and slightly less significant P-values (in the order of the 9th decimal).We have reran the meta-analysis and have uploaded the new summary statistics.
For new analyses we advise to use the updated version of the summary statistics. However, for analyses that have been performed already, we think it is acceptable to work with the previous results. We reran all our functional follow-up results and observed minimal changes, and no alternative conclusions were drawn.

Summary statistics for neuroticism, neuroticism subclusters and depression from Nagel et al., 2018b

Nagel, M., Jansen, P. R., Stringer, S., Watanabe, K., de Leeuw, C. A., Bryois, J., Savage, J. E., Hammerschlag, A. R., Skene, N. G., Muñoz-Manchado, A. B., 23andMe Research Team, White, T., Tiemeier, H., Linnarsson, S., Hjerling-Leffler, J., Polderman, T. J. C., Sullivan, P. F., van der Sluis, S., & Posthuma, D. (2018). Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways. Nature genetics, 50(7), 920–927. https://doi.org/10.1038/s41588-018-0151-7

Summary statistics for Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence (intelligence, wave 2) from Savage et al., 2018

Savage, 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., Grasby, K. L., Hammerschlag, A. R., Kaminski, J. A., Karlsson, R., Krapohl, E., Lam, M., Nygaard, M., Reynolds, C. A., Trampush, J. W., Young, H., … Posthuma, D. (2018). Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature genetics, 50(7), 912–919. https://doi.org/10.1038/s41588-018-0152-6

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Summary statistics for Item-level analyses reveal genetic heterogeneity in neuroticism from Nagel et al., 2018a

Nagel, M., Watanabe, K., Stringer, S., Posthuma, D., & van der Sluis, S. (2018). Item-level analyses reveal genetic heterogeneity in neuroticism. Nature communications, 9(1), 905. https://doi.org/10.1038/s41467-018-03242-8.

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Summary statistics for Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence (intelligence, wave 1) from Sniekers et al. 2017

Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., Amin, N., Breen, G., Cesarini, D., Chabris, C. F., Iacono, W. G., Ikram, M. A., Johannesson, M., Koellinger, P., Lee, J. J., Magnusson, P. K. E., … Posthuma, D. (2017). Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nature genetics, 49(7), 1107–1112. https://doi.org/10.1038/ng.3869

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Summary statistics for Genome-wide association analysis of insomnia complaints identifies novel risk genes and genetic overlap with psychiatric and metabolic traits (insomnia, wave 1) from Hammerschlag et al. 2017

Hammerschlag, A. R., Stringer, S., de Leeuw, C. A., Sniekers, S., Taskesen, E., Watanabe, K., Blanken, T. F., Dekker, K., Te Lindert, B. H. W., Wassing, R., Jonsdottir, I., Thorleifsson, G., Stefansson, H., Gislason, T., Berger, K., Schormair, B., Wellmann, J., Winkelmann, J., Stefansson, K., Oexle, K., … Posthuma, D. (2017). Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits. Nature genetics, 49(11), 1584–1592. https://doi.org/10.1038/ng.3888

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Summary statistics for Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior from Tielbeek et al. 2017

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., Viding, E., Plomin, R., Martin, N. G., Heath, A. C., Madden, P. A. F., Montgomery, G., Beaver, K. M., Waldman, I., Gelernter, J., Kranzler, H. R., … Broad Antisocial Behavior Consortium collaborators (2017). Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior. JAMA psychiatry, 74(12), 1242–1250. https://doi.org/10.1001/jamapsychiatry.2017.3069

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