######################################## #Summary statistics for GWAS analysis of 101 ROI volumes in UK Biobank. #Bingxin Zhao (bingxin@unc.edu) ######################################## Sample size n=19,629 Number of reported SNPs p=8,944,375 (Chromosomes 1-22) and 283,121 (Chromosome X) Version: May24, 2019 ######################################## GWAS was performed by PLINK: http://zzz.bwh.harvard.edu/plink/ Each file contains the following columns: #CHR Chromosome #SNP SNP identifier #BP Physical position (base-pair) #A1 Tested allele (minor allele by default) #TEST Code for the test (see http://zzz.bwh.harvard.edu/plink/) #NMISS Number of non-missing individuals included in analysis #BETA Regression coefficient (--linear) #STAT Coefficient t-statistic #P Asymptotic p-value for t-statistic #A2 null allele ######################################## Reference: Zhao et al (2019) GWAS of 19,629 individuals identifies novel genetic variants for regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits. (https://doi.org/10.1101/586339) ######################################## 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).