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GWAS

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

1. The GWAS summary statistics for 200 resting-state functional MRI traits

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.

2. The GWAS summary statistics for 635 tract-specific diffusion tensor imaging (DTI) parameters

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)

3. The GWAS summary statistics for 101 brain regional volumes

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

4. The GWAS summary statistics for 110 brain regional diffusion tensor imaging (DTI) parameters

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

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