######################################## #Summary statistics for GWAS analysis of 200 resting-state functional MRI (rs-fMRI) traits (76 node amplitude + 124 functional connectivity) #Bingxin Zhao (bingxin@unc.edu) #The detailed list of these 200 files can be found in fMRI.csv ######################################## Sample size n=34,691 (UKB British cohort) Number of reported SNPs p~9,026,427 (Chromosomes 1-22) Version: July15, 2020 ######################################## GWAS was performed by fastGWA: https://cnsgenomics.com/software/gcta/index.html#fastGWA/ Each file contains the following columns: #CHR Chromosome #SNP SNP identifier #POS Physical position (base-pair) #A1 Tested allele (minor allele by default) #A2 Null allele #N Per-SNP Sample Size #AF1 Frequency of A1 #BETA SNP effect #SE SNP SE #Z SNP Z-score #P P-value from fastGWA ######################################## ######################################## Reference: Zhao et al (2020) Common variants contribute to intrinsic functional architecture of human brain. ######################################## This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) Particularly, you agree not to attempt to identify individual participants and not to use these data for projects that may lead to stigmatizing individuals or groups of individuals. When reporting results of research that utilizes these data, we request that you cite the original publication. Commercial use: If you want to use the GWAS sumstats commercially, you must first get our permission to do so. Please send an e-mail to Hongtu Zhu (htzhu@email.unc.edu).