GWAS Summary Statistics for Brain Imaging Phenotypes
Involved datasets: UK Biobank (UKB), Adolescent Brain Cognitive Development (ABCD) Study, Human Connectome Project (HCP), Philadelphia Neurodevelopmental Cohort (PNC), Alzheimer’s Disease` Neuroimaging Initiative (ADNI), Pediatric Imaging, Neurocognition, and Genetics (PING)
Terms of Use:
- By downloading these data, you acknowledge that they will be used for research purposes and that you are in compliance with applicable rules, policies and regulations.
- When reporting results of research that utilizes these data we request that you cite the original publication.
Contents
GWAS summary statistics for 200 resting-state functional MRI (rs-fMRI) traits
- Sample size: n=34,691
- Version: July 15, 2020
- Download Summary Statistics:
Data available at Zenodo https://doi.org/10.5281/zenodo.5775047
- Description: readme
- Citation: Zhao et al (2020) Common variants contribute to intrinsic human brain functional networks. Nature Genetics. https://doi.org/10.1038/s41588-022-01039-6
GWAS summary statistics for 635 tract-specific diffusion tensor imaging (DTI) parameters
- Sample size: n=33,292
- Version: July 15, 2020
- Download Summary Statistics:
wget --no-check-certificate --content-disposition https://github.com/stat-yyang/sumstats/blob/master/110_mean.list wget --no-check-certificate --content-disposition https://github.com/stat-yyang/sumstats/blob/master/105_mopcs.list wget --no-check-certificate --content-disposition https://github.com/stat-yyang/sumstats/blob/master/105_rdpcs.list wget --no-check-certificate --content-disposition https://github.com/stat-yyang/sumstats/blob/master/105_adpcs.list wget --no-check-certificate --content-disposition https://github.com/stat-yyang/sumstats/blob/master/105_mdpcs.list wget --no-check-certificate --content-disposition https://github.com/stat-yyang/sumstats/blob/master/105_fapcss.list wget -i 110_mean.list wget -i 105_mopcs.list wget -i 105_rdpcs.list wget -i 105_adpcs.list wget -i 105_mdpcs.list wget -i 105_fapcs.list Data available at Zenodo mean: https://doi.org/10.5281/zenodo.4549730 MO PC: https://doi.org/10.5281/zenodo.4553513 RD PC: https://doi.org/10.5281/zenodo.4553510 AD PC: https://doi.org/10.5281/zenodo.4553514 MD PC: https://doi.org/10.5281/zenodo.4549693 FA PC: https://doi.org/10.5281/zenodo.4549725
- Description: readme
- Citation: Zhao et al (2021) Common genetic variation influencing human white matter microstructure. Science. https://doi.org/10.1126/science.abf3736.
GWAS Summary Statistics for 101 Brain Regional Volumes
- Sample size: n=19,629
- Version: May 24, 2019
- Download links: GWAS Summary Statistics readme (UK Biobank) readme (meta-analysis)
- Citation: Zhao et al. (2019) Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health` Traits. Nature Genetics. https://www.nature.com/articles/s41588-019-0516-6
GWAS summary statistics for 110 brain regional diffusion tensor imaging (DTI) parameters
- Sample size: n=17,706
- Version: March 11, 2019
- Download links: GWAS Summary Statistics readme
- Citation: Zhao et al. (2019) Large-scale GWAS reveals genetic architecture of brain white matter microstructure and genetic overlap with cognitive and mental health` traits (n=17,706). Molecular Psychiatry. https://www.nature.com/articles/s41380-019-0569-z
Summary statistics of the sex chromosomes for 2,822 brain imaging traits
- Sample size: n=34,000
- Version: Sept. 1, 2023
- Download Summary Statistics: GWAS Summary Statistics readme
- Citation: Jiang et al. (2023) The pivotal role of the X-chromosome in the genetic architecture of the human brain. medRxiv. https://doi.org/10.1101/2023.08.30.23294848