Downloads

On this page, you can download results of GWAS (genome-wide association study) analyses and variant counts from whole exome sequencing studies (WES). In the listed studies, iPSYCH samples constitute a main part of the study subjects.

Results of combined iPSYCH and Psychiatric Genomics Consortium analyses can also be downloaded at the Psychiatric Genomics Consortium download page together with other Psychiatric Genomics Consortium studies that iPSYCH has contributed to.

iPSYCH provides summary statistics from its genomic analyses (“these data”) in order to increase our knowledge of the fundamental basis of major psychiatric disorders. 

Use of these data is NOT unrestricted. 

If you obtain or use these data in any way, you and your collaborators (“investigators”) agree to abide by all of the following conditions:

  1. Investigators acknowledge that these data are provided on an “as-is” basis, without warranty of any type, expressed or implied, including but not limited to any warranty as to their performance, merchantability, or fitness for any particular purpose; 
  2. Investigators will use these results for scientific research and educational use only.
  3. The downloaded results can be shared among collaborators but the reposting or public distribution of the result file is prohibited;
  4. Investigators certify that they are in compliance with all applicable local, state, and federal laws or regulations and institutional policies regarding human subjects and genetics research;
  5. Investigators will cite the appropriate publication in any communications or publications arising directly or indirectly from these data;
  6. Investigators will never attempt to identify any participant who contributed to these data;
  7. Investigators may not use these data to develop any type of risk or predictive test for an unborn individual; 
  8. For any risk or predictive test for a child or adult, investigators must acknowledge that this is an experimental use of these data and that essentially all psychiatric disorders have important non-genetic etiological components; 
  9. When these data are made available prior to publication, investigators agree to respect and not compete with the scientific priorities of the iPSYCH team according to the Fort Lauderdale principles

Experience has taught us that the appropriate use of these data requires considerable attention to detail, prior experience, and technical skill. Errors are easy to make. If investigators use these data, any and all consequences are entirely their responsibility.

About Psychiatric Genomics Consortium (PGC)

iPSYCH investigators are among the 800+ investigators from 38 countries who is part of the Psychiatric Genomics Consortium (PGC). For more information on the PGC, go to the PGC website

iPSYCH downloads

Disorder/study Download MD5 Checksum

Depression GWAS (2023)

Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses

Nature Medicine

Thomas D. Als et al.

Download

Summary statistics depression meta-analysis excl. 23andMe

Summary statistics depression meta-analysis excl. PGC and 23andMe

Summary statistics depression meta-analysis excl. UKB and 23andMe

Readme file

Readme depression GWAS meta-analysis

Readme depression GWAS meta-analysis excl. PGC

Readme depression GWAS meta-analysis excl. UKB

 

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GWAS of school grades

Genome-wide association study of school grades identifies genetic overlap between language ability, psychopathology and creativity

Scientific Reports

Veera M Rajagopal et al.

Download

Schoolgrades.E1.sumstats

Schoolgrades.E2.sumstats

Schoolgrades.E3.sumstats

Schoolgrades.E4.sumstats

Readme file

GWAS of school grades - jan 2023 release


61fe15be45a533b134d6638eac66f86f

5b1a94ff15c75fdc16686be31800c16a

5d4d120597d8805dd0370b72aa30dc09

5d4d120597d8805dd0370b72aa30dc09

ADHD GWAS

Genome-wide analyses of ADHD identify 27 risk loci, refince the genetic architecture and implicate several cognitive domains

Nature Genetics

Ditte Demontis et al.

Download

Summary statistics ADHD meta-analysis, Jan2022 Release

Readme file

Readme_ADHD_meta_Jan2022


ea57120c720e880e34f67f57483dcbb4

ADHD subtypes

Differences in the genetic architecture of common and rare variants in childhood, persistent and late-diagnosed attention deficit hyperactivity disorder

Nature Genetics

Veera Rajagopal et al.

Download
Summary statistics of childhood ADHD

Readme file
Readme_Childhood_ADHD

Download
Summary statistics of persistent ADHD

Readme file
Readme_persistent_ADHD

Download
Summary statistics of late-diagnosed (adulthood) ADHD

Readme file
Readme_latediagnosed_ADHD


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993914995aaf01b049922317782948d2

ASD-ADHD Cross Disorder (publ. 2022)

Identificaion of shared and differentiating genetic risk for autism spectrum disorder, attention deficit hyperactivity disorder and case subgroups

Nature Genetics

Manuel Mattheisen et al.

Download
ASDvsADHD (2021)

Readme file
ASDvsADHD (2021)

Download
ADHDorASDvsControls (2021)

Readme file
ADHDorASDvsControls (2021)

1a62eee19d3572ffa4981b37124961ef



 

9184c923d83beae21976bde60fb4e3dc
 

iPSYCH Secondary phenotypes

Identification of genetic loci associated with nocturnal enuresis: a genome-wide association study

Lancet Child Adolesc Health 2021

Cecilie S Jørgensen et al.

Download
Nocturnal enuresis 2021

Readme file
README_Nucturnal_enuresis_2021

4a4baf4f361336138c6c8258627bf6b1

iPSYCH Secondary phenotypes

Risk variants and polygenic architecture of disruptive behavior disorders in the context of attention-deficit/hyperactivity distorder

Nat Communications 2021

Ditte Demontis et al.

Download
ADHD_DBBs_GWAS_meta-analysis

Readme file
README_ADHD_DBDs_GWAS_meta-analysis

b3b2e4feb112042ad792107315e6d10

iPSYCH Secondary phenotypes

Genome-wide association study implicates CHRNA2 in cannabis use disorder

Nat Neurosci. 2019

Ditte Demontis et al.

Download CUD_GWAS_iPSYCH_June2019

Readme file
README_CUD_GWAS

c13dbaa14f27d31290a15a2320acab0c

iPSYCH Secondary phenotypes

Genetic Variants Associated With Anxiety and Stress-Related DisordersA Genome-Wide Association Study and Mouse-Model Study

JAMA Psychiatry 2019

Sandra M Meier et al.

Download ASRD_GWAS_iPSYCH_Mai2019

Download Anxiety_GWAS_iPSYCH_Mai2019

Download
Stress_GWAS_iPSYCH_Mai2019

Readme file
README File_ Documentation_ASRD

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iPSYCH Cross-Disorder (xDx) 2018

A genome-wide association study of shared risk across psychiatric disorders implicates gene regulation during fetal neurodevelopment.

Nat Neurosci. 2019

Andrew Schork et al.

Download
iPSYCH Cross-Disorder (xDx)_sumStats

Readme file
iPSYCH Cross-Disorder_(xDx)_readMe_v2

4fdcc5e1515a1816083d23832dc17d81
ADHD GWAS 2018

Discovery Of The First Genome-Wide Significant Risk Loci For ADHD

Nat Genet. 2018

Ditte Demontis et al.

Download
Full ADHD GWAS - June 2017

Download
ADHD European Ancestry GWAS - June 2017

Readme file
ADHD_June2017_readme.pdf

c81ea9633e88b3513ccf634b5ada40d6

 

a5d78e3eb9852dff9c01513a10fa6d03

Suicide attempts, with or without mental disorders - GWAS 2018

Genetics of suicide attempts in individuals with and without mental disorders: a population-based genome-wide association study

Mol Psychiatry. 2018

Annette Erlangsen et al.

Download
Genetics of suicide attempts, with or without mental disorders, GWAS 2018

Readme file
Genetics of suicide attempts

D94D8CDA7603C27325F19A19D04F3BFC

ASD-ADHD WES 2018 (Publ. 2019)

ASD and ADHD have a similar burden of rare protein-truncating variants

Nat Neurosci. 2019

F Kyle Satterstrom et al.

Download
DBS Manuscript - Supplementary Data

Readme file
DBS Supplementary Data

 368505d13cda8d41571c7d485887d359
ADHD GWAS, Sex-specific 2018

A genetic investigation of sex bias in the prevalence of attention deficit hyperactivity disorder

Biol Psychiatry. 2018

Joanna Martin et al.

Download
ADHD Males - June 2017

Download
ADHD Females - June 2017

Readme file
ADHD_Sex-Specific_readme

b95b9dc67fb0f5a87152046f370ad2cf

 

598663fbf99fcdcf9f8393b011bdb852

Autism GWAS 2017 (Publ. 2019)

Common risk variants identified in autism spectrum disorder

Jakob Grove et al.

Download
iPSYCH-PGC ASD_Nov2017

Readme file
iPSYCH-PGC_ASD_Nov2017_readme

5ca46780db3b37038bd02bd20c38c85c