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)
Total sample size: >40,000
Sample size n=34, 691
Version: July 15, 2020
Link: https://www.med.unc.edu/bigs2/data/gwas-summary-statistics/
Citation: Zhao et al (2020) Common variants contribute to intrinsic functional architecture of human brain. Preprint available at https://www.biorxiv.org/content/10.1101/2020.07.30.229914v1.
Sample size n=33,292
Version: May 22, 2020
Link: https://www.med.unc.edu/bigs2/data/gwas-summary-statistics/
Citation: Zhao et al (2021) Common genetic variation influencing human white matter microstructure. Science. https://doi.org/10.1101/2020.07.30.229914
Explore GWAS results in Brain Imaging Genetics Knowledge Portal (BIG-KP)
Sample size n=19,629
Version: May 24, 2019
Link: https://www.med.unc.edu/bigs2/data/gwas-summary-statistics/
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
Sample size n=17,706
Version: March 11, 2019
Link: https://www.med.unc.edu/bigs2/data/gwas-summary-statistics/
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