{"id":3279,"date":"2019-03-07T12:13:55","date_gmt":"2019-03-07T17:13:55","guid":{"rendered":"https:\/\/www.med.unc.edu\/bigs2\/?page_id=3279"},"modified":"2024-01-10T09:53:05","modified_gmt":"2024-01-10T14:53:05","slug":"gwas-summary-statistics","status":"publish","type":"page","link":"https:\/\/www.med.unc.edu\/bigs2\/data\/gwas-summary-statistics\/","title":{"rendered":"GWAS Summary Statistics for Brain Imaging Phenotypes"},"content":{"rendered":"<p><span style=\"text-decoration: underline;\">Involved datasets<\/span>: UK Biobank (UKB), Adolescent Brain Cognitive Development (ABCD) Study, Human Connectome Project (HCP), Philadelphia Neurodevelopmental Cohort (PNC), Alzheimer&#8217;s Disease` Neuroimaging Initiative (ADNI), Pediatric Imaging, Neurocognition, and Genetics (PING)<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Terms of Use:<\/strong><\/p>\n<ul>\n<li>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.<\/li>\n<li>When reporting results of research that utilizes these data we request that you cite the original publication.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"text-decoration: underline;\">GWAS summary statistics for 200 resting-state functional MRI (rs-fMRI) traits<\/span><\/p>\n<ul>\n<li><strong>Sample size:<\/strong> n=34,691<\/li>\n<li><strong>Version<\/strong>: July 15, 2020<\/li>\n<li>Download Summary Statistics:\n<pre>Data available at Zenodo\r\nhttps:\/\/doi.org\/10.5281\/zenodo.5775047<\/pre>\n<\/li>\n<li><strong>Description<\/strong>: <a href=\"https:\/\/www.med.unc.edu\/bigs2\/wp-content\/uploads\/sites\/822\/2020\/07\/README_UKB_gwas_rsfMRI_v20200715.txt\">readme<\/a><\/li>\n<li><strong>Citation<\/strong>: Zhao et al (2020) Common variants contribute to intrinsic human brain functional networks. <strong><i>Nature Genetics<\/i><\/strong>.<a href=\"https:\/\/doi.org\/10.1038\/s41588-022-01039-6\">\u00a0https:\/\/doi.org\/10.1038\/s41588-022-01039-6<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"text-decoration: underline;\">GWAS summary statistics for 635 tract-specific diffusion tensor imaging (DTI) parameters<\/span><\/p>\n<ul>\n<li><strong>Sample size:<\/strong> n=33,292<\/li>\n<li><strong>Version<\/strong>: July 15, 2020<\/li>\n<li>Download Summary Statistics:\n<pre>wget --no-check-certificate --content-disposition https:\/\/github.com\/stat-yyang\/sumstats\/blob\/master\/110_mean.list \r\nwget --no-check-certificate --content-disposition https:\/\/github.com\/stat-yyang\/sumstats\/blob\/master\/105_mopcs.list \r\nwget --no-check-certificate --content-disposition https:\/\/github.com\/stat-yyang\/sumstats\/blob\/master\/105_rdpcs.list \r\nwget --no-check-certificate --content-disposition https:\/\/github.com\/stat-yyang\/sumstats\/blob\/master\/105_adpcs.list \r\nwget --no-check-certificate --content-disposition https:\/\/github.com\/stat-yyang\/sumstats\/blob\/master\/105_mdpcs.list \r\nwget --no-check-certificate --content-disposition https:\/\/github.com\/stat-yyang\/sumstats\/blob\/master\/105_fapcss.list\r\nwget -i 110_mean.list\r\nwget -i 105_mopcs.list\r\n<span class=\"\" style=\"color: #000000; font-size: small;\">wget -i 105_rdpcs.list\r\nwget -i 105_adpcs.list\r\nwget -i 105_mdpcs.list\r\nwget -i 105_fapcs.list\r\n\r\nData available at Zenodo\r\nmean: <span class=\"\">https:\/\/doi.org\/10.5281\/zenodo.<\/span>4549730\r\nMO PC:<span class=\"\">\u00a0<\/span><span class=\"\">https:\/\/doi.org\/10.5281\/zenodo.<\/span><span class=\"\">4553513\r\n<\/span><\/span><span class=\"\" style=\"color: #000000; font-size: small;\">RD PC:<span class=\"\">\u00a0<\/span><span class=\"\">https:\/\/doi.org\/10.5281\/zenodo.<\/span>4553510\r\n<\/span><span class=\"\" style=\"color: #000000; font-size: small;\">AD PC:<span class=\"\">\u00a0<\/span><span class=\"\">https:\/\/doi.org\/10.5281\/zenodo.<\/span>4553514\r\n<\/span><span class=\"\" style=\"color: #000000; font-size: small;\">MD PC:\u00a0<span class=\"\">\u00a0<\/span><span class=\"\">https:\/\/doi.org\/10.5281\/<\/span><span class=\"\">zenodo<\/span><span class=\"\">.<\/span>4549693\r\n<\/span><span class=\"\" style=\"color: #000000; font-size: small;\">FA PC:\u00a0<span class=\"\">https:\/\/doi.org\/10.5281\/zenodo.<\/span>4549725<\/span><\/pre>\n<\/li>\n<li><strong>Description<\/strong>:\u00a0 <a href=\"https:\/\/www.med.unc.edu\/bigs2\/wp-content\/uploads\/sites\/822\/2020\/07\/README_UKB_gwas_DTI_v20200715.txt\">readme<\/a><\/li>\n<li><strong>Citation<\/strong>: Zhao et al (2021) Common genetic variation influencing human white matter microstructure. <strong><em>Science. <\/em><\/strong><a href=\"https:\/\/doi.org\/10.1126\/science.abf3736\">https:\/\/doi.org\/10.1126\/science.abf3736<\/a>.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"text-decoration: underline;\">GWAS Summary Statistics for 101 Brain Regional Volumes<\/span><\/p>\n<ul>\n<li><strong>Sample size<\/strong>: n=19,629<\/li>\n<li><strong>Version<\/strong>: May 24, 2019<\/li>\n<li><strong>Download links<\/strong>: \u00a0 \u00a0\u00a0<a href=\"https:\/\/www.med.unc.edu\/bigs2\/wp-content\/uploads\/sites\/822\/2019\/05\/gwas_ROI_v20190524.xlsx\">GWAS Summary Statistics<\/a>\u00a0 \u00a0 \u00a0 \u00a0<a href=\"https:\/\/www.med.unc.edu\/bigs2\/wp-content\/uploads\/sites\/822\/2019\/06\/README_ukb_gwas_ROI_v20190524_1.txt\">readme (UK Biobank)<\/a>\u00a0 \u00a0 \u00a0 \u00a0<a href=\"https:\/\/www.med.unc.edu\/bigs2\/wp-content\/uploads\/sites\/822\/2019\/06\/README_meta_analysis_gwas_ROI_v20190524_1.txt\">readme (meta-analysis)<\/a><\/li>\n<li><strong>Citation<\/strong>: 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. <em><strong>Nature Genetics.<\/strong><\/em> <a href=\"https:\/\/www.nature.com\/articles\/s41588-019-0516-6\" rel=\"nofollow\">https:\/\/www.nature.com\/articles\/s41588-019-0516-6<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"text-decoration: underline;\">GWAS summary statistics for 110 brain regional diffusion tensor imaging (DTI) parameters<\/span><\/p>\n<ul>\n<li><strong>Sample size<\/strong>: n=17,706<\/li>\n<li><strong>Version<\/strong>: March 11, 2019<\/li>\n<li><strong>Download links<\/strong>: \u00a0\u00a0\u00a0 <a href=\"https:\/\/www.med.unc.edu\/bigs2\/wp-content\/uploads\/sites\/822\/2019\/03\/gwas_DTI_v20190311.xlsx\">GWAS Summary Statistics<\/a> \u00a0 \u00a0 \u00a0 <a href=\"https:\/\/www.med.unc.edu\/bigs2\/wp-content\/uploads\/sites\/822\/2019\/06\/README_UKB_gwas_DTI_v20190311_1.txt\">readme<\/a><\/li>\n<li><strong>Citation<\/strong>: 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). <em><strong>Molecular Psychiatry.<\/strong><\/em> <a href=\"https:\/\/www.nature.com\/articles\/s41380-019-0569-z\" rel=\"nofollow\">https:\/\/www.nature.com\/articles\/s41380-019-0569-z<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"text-decoration: underline;\">Summary statistics of the sex chromosomes for 2,822 brain imaging traits<\/span><\/p>\n<ul>\n<li><strong>Sample size:<\/strong> n=34,000<\/li>\n<li><strong>Version:<\/strong> Sept. 1, 2023<\/li>\n<li><strong>Download Summary Statistics:<\/strong> <a href=\"https:\/\/zenodo.org\/record\/8317844\">GWAS Summary Statistics<\/a>\u00a0 \u00a0 \u00a0 \u00a0<a href=\"https:\/\/www.med.unc.edu\/bigs2\/wp-content\/uploads\/sites\/822\/2023\/09\/README.txt\">readme<\/a><\/li>\n<li><strong>Citation:<\/strong> Jiang et al. (2023) The pivotal role of the X-chromosome in the genetic architecture of the human brain. <strong><em>medRxiv<\/em><\/strong>. <a href=\"https:\/\/doi.org\/10.1101\/2023.08.30.23294848\">https:\/\/doi.org\/10.1101\/2023.08.30.23294848<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Involved datasets: UK Biobank (UKB), Adolescent Brain Cognitive Development (ABCD) Study, Human Connectome Project (HCP), Philadelphia Neurodevelopmental Cohort (PNC), Alzheimer&#8217;s Disease` Neuroimaging Initiative (ADNI), Pediatric Imaging, Neurocognition, and Genetics (PING) &nbsp; Terms of Use: By downloading these data, you acknowledge that they will be used for research purposes and that you are in compliance with &hellip; <a href=\"https:\/\/www.med.unc.edu\/bigs2\/data\/gwas-summary-statistics\/\" aria-label=\"Read more about GWAS Summary Statistics for Brain Imaging Phenotypes\">Read more<\/a><\/p>\n","protected":false},"author":1503,"featured_media":0,"parent":3275,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-3279","page","type-page","status-publish","hentry","odd"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GWAS Summary Statistics for Brain Imaging Phenotypes - BIG-S2<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GWAS Summary Statistics for Brain Imaging Phenotypes - BIG-S2\" \/>\n<meta property=\"og:description\" content=\"Involved datasets: UK Biobank (UKB), Adolescent Brain Cognitive Development (ABCD) Study, Human Connectome Project (HCP), Philadelphia Neurodevelopmental Cohort (PNC), Alzheimer&#8217;s Disease` Neuroimaging Initiative (ADNI), Pediatric Imaging, Neurocognition, and Genetics (PING) &nbsp; 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