GWAS Summary Statistics

Download summary statistics from GWAS led by our team here

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

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 Investigating genetically stratified subgroups to better understand the etiology of alcohol misuse by Thijssen et al., 2023.

Investigating genetically stratified subgroups to better understand the etiology of alcohol misuse Molecular Psychiatry, 2023
Please cite this reference when using the summary statistics.

readme_sumstats_thijssenetal2023_txt (2.09 KB)

Alcohol_GMM_sumstats_Thijssenetal2023_MP.zip (1.93 GB)

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

The genetic overlap between Alzheimer’s disease, amyotrophic lateral sclerosis, Lewy body dementia, and Parkinson’s disease Neurobiology of Aging 2023

Please cite this reference when using the common factor model summary statistics and 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

Wightmanetal2023_NBA_GenomicSEMCommonFactor_SummaryStatistics.txt.gz (279.77 MB)

PGCALZ2ExcludingUKBand23andME_METALInverseVariance_MetaAnalysis.txt.gz (318.37 MB)

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

The genetic architectures of functional and structural connectivity properties within cerebral resting-state networks eNeuro 2023

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Tissinketal_eNeuro2023_FC_Default_EUR_sumstats.txt.gz (327.54 MB)

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

Disentangling Genetic Risks for Metabolic Syndrome Diabetes 2022

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CF_MetS_results_adapt.txt.gz (154.29 MB)

README_CF_MetS_results_adapt.txt (1.99 KB)
CF_MetS_code_description.txt (47.83 KB)

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

Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis Mol. Psychiatry 2022

Please cite this reference when using the summary statistics.

broadABC2022_Final_CombinedSex.TBL.gz (165.56 MB)

broadABC2022_Final_Females.txt.gz (182.36 MB)
broadABC2022_Final_Males.txt.gz (162.48 MB)
README_BroadABC_2022.txt (1.53 KB)

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

Exploring the genetic overlap between 12 psychiatric disorders Nat. Genet. 2022

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All_PsychiatricDisorders_MetaAnalysis.txt.gz (205.18 MB)

ExcSCZ_PsychiatricDisorders_MetaAnalysis.txt.gz (203.79 MB)
ReadMe_PsychiatricDisorders2022.txt (2.52 KB)

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

Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health Commun. Biol. 2022

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Tissinketal_CommBio2022_readme.txt (858 Bytes)

Tissinketal_CommBio2022_cerebellarvolume.txt.gz (320.86 MB)
Tissinketal_CommBio2022_cerebralvolume.txt.gz (321.84 MB)
Tissinketal_CommBio2022_subcorticalvolume.txt.gz (319.22 MB)

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

Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways, Nat Genet. 2022

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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.

insomnia_23andme_sumstats_20190205_mac_100_top_10000.txt.gz (368.81 KB)

insomnia_ukb2b_EUR_sumstats_20190311_with_chrX_mac_100.txt.gz (618.51 MB)

insomnia_male_ukb2b_EUR_sumstats_20190311_with_chrX_mac_100.txt.gz (569.48 MB)

insomnia_female_ukb2b_EUR_sumstats_20190311_with_chrX_mac_100.txt.gz (579.03 MB)

insomnia_20190311_README (2.25 KB)

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

A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease.

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PGCALZ2sumstatsExcluding23andMe.txt.gz (314.83 MB)

PGCALZ2ExcludingUKBand23andME_METALInverseVariance_MetaAnalysis.txt.gz (318.37 MB)

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

Werme, J., van der Sluis, S., Posthuma, D. & de Leeuw, C. A. Genome-wide gene-environment interactions in neuroticism: an exploratory study across 25 environments. Translational Psychiatry, 2021

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prs.tar (13.81 GB)
full.tar (13.76 GB)
readme_neuroticism_gxe_md (1.68 KB)

Separate files are available here: Neuroticism Summary Statistics

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

Jansen PR, Nagel M, Watanabe K, Wei Y, Savage JE, de Leeuw CA, van den Heuvel MP, van der Sluis S, Posthuma D. Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence. Nat Commun. 2020 Nov 5;11(1):5606. doi: 10.1038/s41467-020-19378-5.
PMID: 33154357

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UKB_bv_height_cor.sumstats.txt.gz (276.24 MB)
meta_analysis_BV_Jansenetal_2020.sumstats.txt.gz (228.99 MB)

Summary statistics for Sensitivity to Environmental Stress and Adversity (SESA) neuroticism cluster from Mats 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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SESA_neuro_clus_sumstats.txt.gz (357.66 MB)
SESA_md5sum.txt (66 Bytes)
SESA_sumstats.readme (1.07 KB)

Summary statistics from the gwasATLAS from Kyoko Watanabe et al., 2019

Watanabe K, Stringer S, Frei O, Umicevic Mirkov M, Polderman TJC, van der Sluis S, Andreassen OA, Neale BM, Posthuma D. A global view of pleiotropy and genetic architecture in complex traits. Nat Genet. 2019 Sep;51(9):1339-1348. doi: 10.1038/s41588-019-0481-0

Please cite this reference when using the summary statistics.

The sumstats file below contains 600 sumstats from 600 traits from UKBiobank release 2, that were used in the above study.

Warning: Please be aware that the 1st file is very large, follow the links in gwasATLAS to download individual sumstats

Summary statistics for Insomnia, wave 2 from Philip Jansen et al., 2019

Jansen PR, Watanabe K, Stringer S, Skene N, Bryois J, Hammerschlag AR, de Leeuw CA, Benjamins JS, Muñoz-Manchado AB, Nagel M, Savage JE, Tiemeier H, White T; 23andMe Research Team, Tung JY, Hinds DA, Vacic V, Wang X, Sullivan PF, van der Sluis S, Polderman TJC, Smit AB, Hjerling-Leffler J, Van Someren EJW, Posthuma D. Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways. Nature Genetics 2019 Mar;51(3):394-403. doi: 10.1038/s41588-018-0333-3.
Please cite this reference when using the summary statistics.
Note that sumstats do not include 23andme results, please refer to the manuscript on how to access these

Insomnia_sumstats_Jansenetal.readme.txt (1.25 KB)
Insomnia_sumstats_Jansenetal.txt.gz (314.78 MB)
Sleepdur_sumstats_Jansenetal.txt.gz (331.88 MB)
Snoring_sumstats_Jansenetal.txt.gz (314.23 MB)
Dozing_sumstats_Jansenetal.txt.gz (313.42 MB)
Morningness_sumstats_Jansenetal.txt.gz (331.34 MB)
Gettingup_sumstats_Jansenetal.txt.gz (331.44 MB)
Napping_sumstats_Jansenetal.txt.gz (313.63 MB)

Summary statistics for Alzheimer’s dementia from Iris Jansen et al., 2019

Jansen IE, Savage JE, Watanabe K, Bryois J, Williams DM, Steinberg S, Sealock J, Karlsson IK, Hägg S, Athanasiu L, Voyle N, Proitsi P, Witoelar A, Stringer S, Aarsland D, Almdahl IS, Andersen F, Bergh S, Bettella F, Bjornsson S, Brækhus A, Bråthen G, de Leeuw C, Desikan RS, Djurovic S, Dumitrescu L, Fladby T, Hohman TJ, Jonsson PV, Kiddle SJ, Rongve A, Saltvedt I, Sando SB, Selbæk G, Shoai M, Skene NG, Snaedal J, Stordal E, Ulstein ID, Wang Y, White LR, Hardy J, Hjerling-Leffler J, Sullivan PF, van der Flier WM, Dobson R, Davis LK, Stefansson H, Stefansson K, Pedersen NL, Ripke S, Andreassen OA, Posthuma D. Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk Nature Genetics, 2019 Mar;51(3):404-413. doi: 10.1038/s41588-018-0311-9

Please cite this reference when using the summary statistics.

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.

AD_sumstats_Jansenetal_2019sept.txt.gz (718.88 MB)
AD_sumstats_2019dec.readme (2.35 KB)

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

Nagel M, Jansen PR, Stringer S, Watanabe K, de Leeuw CA, Bryois J, Savage JE, Hammerschlag AR, Skene N, Muñoz-Manchado AB, the 23andMe Research Team, White TJH, Tiemeier H, Linnarsson S, Hjerling-Leffler J, Polderman TJC, Sullivan PF, van der Sluis S, Posthuma D. Meta-Analysis of Genome-wide Association Studies for Neuroticism in 449,484 Individuals Identifies Novel Genetic Loci and Pathways. Nature Genetics, 2018 Jul;50(7):920-927

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

readme_ctg (2.5 KB)
checksums.txt (306 Bytes)
sumstats_depressed_affect_ctg_format.txt.gz (375.36 MB)
sumstats_depression_ctg_format.txt.gz (312.99 MB)
sumstats_neuroticism_ctg_format.txt.gz (337.6 MB)
sumstats_worry_ctg_format.txt.gz (375.32 MB)

Summary statistics for intelligence, wave 2 from Jeanne Savage et al., 2018

Savage JE, Jansen PR, Stringer S, Watanabe K, Bryois J, de Leeuw CA, Nagel M, Awasthi S, Barr PB, Coleman JRI, Grasby KL, Hammerschlag AR, Kaminski J, Karlsson R, Krapohl E, Lam M, Nygaard M, Reynolds CA, Trampush JW, Young H, Zabaneh D, Hägg S, Hansell NK, Karlsson IK, Linnarsson S, Montgomery GW, Munoz-Manchado AB, Quinlan EB, Schumann G, Skene N, Webb BT, White T, Arking DE, Attix DK, Avramopoulos D, Bilder RM, Bitsios P, Burdick KE, Cannon TD, Chiba-Falek O, Christoforou A, Cirulli ET, Congdon E, Corvin A, Davies G, Deary IJ, DeRosse P, Dickinson D, Djurovic S, Donohoe G, Drabant Conley E, Eriksson JG, Espeseth T, Freimer NA, Giakoumaki S, Giegling I, Gill M, Glahn DC, Hariri AR, Hatzimanolis A, Keller MC, Knowles E, Konte B, Lahti J, Le Hellard S, Lencz T, Liewald DC, London E, Lundervold AJ, Malhotra AK, Melle I, Morris D, Need AC, Ollier W, Palotie A, Payton A, Pendleton N, Poldrack RA, Räikkönen K, Reinvang I, Roussos P, Rujescu D, Sabb FW, Scult MA, Smeland OB, Smyrnis N, Starr JM, Steen VM, Stefanis NC, Straub RE, Sundet K, Tiemeier H, Voineskos AN, Weinberger DR, Widen E, Yu J, Abecasis G, Andreassen OA, Breen G, Christiansen L, Debrabant B, Dick DM, Heinz A, Hjerling-Leffler J, Ikram MA, Kendler KS, Martin NG, Medland SE, Pedersen NL, Plomin R, Polderman TJC, Ripke S, van der Sluis S, Sullivan PF, Vrieze SI, Wright MJ, Posthuma D. Genome-wiide association meta-analysis (N=269,867) identifies new genetic and functional links to intelligence. Nature Genetics, 2018 Jul;50(7):912-919

Please cite this reference when using the summary statistics.

SavageJansen_IntMeta_sumstats.zip (461.36 MB)

Summary statistics for neuroticism-items from Mats Nagel et al., 2018a

Nagel M, Watanabe K, Stringer S, Posthuma D, van der Sluis S. Item-level analyses reveal genetic heterogeneity in neuroticism. Nat Commun. 2018 Mar 2;9(1):905.
Please cite this reference when using the summary statistics.

readme_neuro_items_ctg (1.63 KB)
sumstats_neuro_f1920_ctg_format.txt.gz (538.46 MB)
sumstats_neuro_f1930_ctg_format.txt.gz (538.37 MB)
sumstats_neuro_f1940_ctg_format.txt.gz (538.35 MB)
sumstats_neuro_f1950_ctg_format.txt.gz (538.41 MB)
sumstats_neuro_f1960_ctg_format.txt.gz (538.47 MB)
sumstats_neuro_f1970_ctg_format.txt.gz (538.39 MB)
sumstats_neuro_f1980_ctg_format.txt.gz (538.54 MB)
sumstats_neuro_f1990_ctg_format.txt.gz (538.13 MB)
sumstats_neuro_f2000_ctg_format.txt.gz (538.3 MB)
sumstats_neuro_f2010_ctg_format.txt.gz (538.08 MB)
sumstats_neuro_f2020_ctg_format.txt.gz (538.13 MB)
sumstats_neuro_f2030_ctg_format.txt.gz (538.28 MB)
sumstats_neuro_sum_ctg_format.txt.gz (538.51 MB)

Summary statistics for intelligence, wave 1 from Suzanne Sniekers et al. 2017

Sniekers S, Stringer S, Watanabe K, Jansen PR, Coleman JRI, Krapohl E, Taskesen E, Hammerschlag AR, Okbay A, Zabaneh D, Amin N, Breen G, Cesarini D, Chabris CF, Iacono WG, Ikram MA, Johannesson M, Koellinger P, Lee JJ, Magnusson PKE, McGue M, Miller MB, Ollier WER, Payton A, Pendleton N, Plomin R, Rietveld CA, Tiemeier H, van Duijn CM, Posthuma D. Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nature Genetics, 2017,Jul;49(7):1107-1112.
Please cite this reference when using the summary statistics.

sumstats.txt.gz (453.9 MB)
readme.txt (938 Bytes) |

Summary statistics for insomnia, wave 1 from Anke Hammerschlag et al. 2017

Hammerschlag AR, Stringer S, de Leeuw CA, Sniekers S, Taskesen E, Watanabe K, Blanken TF, Dekker K, te Lindert BHW, Wassing R, Jonsdottir I, Thorleifsson G, Stefansson H, Gislason T, Berger K, Schormair B, Wellmann J, Winkelmann J, Stefansson K, Oexle K, Van Someren EJW, Posthuma D. Genome-wide association analysis of insomnia complaints identifies novel risk genes and genetic overlap with psychiatric and metabolic traits. Nature Genetics, 2017 Nov;49(11):1584-1592.
Please cite this reference when using the summary statistics.

Males only: Hammerschlag_NatGenet2017_insomnia_sumstats-males_090617.txt.gz (463.54 MB)
Females only: Hammerschlag_NatGenet2017_insomnia_sumstats-females_090617.txt.gz (463.34 MB)
Full sample: Hammerschlag_NatGenet2017_insomnia_sumstats-full_090617.txt.gz (464.9 MB)
readme (1.05 KB)

Summary statistics for antisocial behavior from Jorim Tielbeek et al. 2017

Tielbeek JJ, Johansson A, Polderman TJC, Rautiainen M, Jansen P, Taylor M, Tong X, Lu Q, Burt AS, Tiemeier H, Viding E, Plomin R, Martin NG, Heath AC, Madden PAF, Montgomery G, Beaver KM, Waldman I, Gelernter J, Kranzler HR, Farrer LA, Perry JRB, Munafò M, LoParo D, Paunio T, Tiihonen J, Mous SE, Pappa I, de Leeuw C, Watanabe K, Hammerschlag AR, Salvatore JE, Aliev F, Bigdeli TB, Dick D, Faraone SV, Popma A, Medland SE, Posthuma D, for the Broad Antisocial Behavior Consortium collaborators. Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior. JAMA Psychiatry. 2017, Dec 1;74(12):1242-1250.

Please cite this reference when using the summary statistics.
Download via the BroadABC website:
BroadABC_METALoutput_Combined.tbl (399.48 MB)
BroadABC_METALoutput_Females.tbl (303.45 MB)
BroadABC_METALoutput__Males.tbl (302.38 MB)
readme_tielbeek_jamapsychiatry2017_antisocial_behavior_sumstats.txt (1022 Bytes)