{"id":789,"date":"2019-08-19T19:08:50","date_gmt":"2019-08-19T19:08:50","guid":{"rendered":"http:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/?page_id=789"},"modified":"2024-10-14T20:55:04","modified_gmt":"2024-10-14T20:55:04","slug":"genomic-sem","status":"publish","type":"page","link":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/genomic-sem\/","title":{"rendered":"Genomic SEM"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">Genomic SEM<\/h1>\n\n\n<h6>Genomic Structural Equation Modeling (Genomic SEM) is a flexible statistical framework method for modeling the joint genetic architecture of constellations of genetically correlated traits and incorporating genetic covariance structure into multivariate GWAS discovery. Genomic SEM is applied to conventional GWAS summary statistics for the individual phenotypes of interest. It does not require raw data.<\/h6>\n<p>To get started using the GenomicSEM R package, follow this link<br \/><a href=\"https:\/\/github.com\/MichelNivard\/GenomicSEM\/wiki\" target=\"_blank\" rel=\"noopener noreferrer\">GenomicSEM wiki<\/a><\/p>\n<p>To read the paper introducing Genomic SEM, follow these links<br \/><a href=\"http:\/\/rdcu.be\/bvn7t\" target=\"_blank\" rel=\"noopener noreferrer\">Paper<\/a>\u00a0<a href=\"http:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/files\/2019\/05\/Genomic-SEM-Supplement.pdf\">Supplement(Text\/Figures)<\/a>\u00a0<a href=\"http:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/files\/2020\/01\/41562_2019_566_MOESM3_ESM-1.xlsx\">Supplement(Tables)<\/a><\/p>\n<p>A video overview of Genomic SEM can be found here<br \/><a href=\"https:\/\/www.youtube.com\/watch?v=ECwQS5UD3YM\" target=\"_blank\" rel=\"noopener noreferrer\">PGC Worldwide Lab Meeting <\/a><\/p>\n<p>Subscribe to the Genomic SEM Users Google group <a href=\"https:\/\/groups.google.com\/forum\/#!forum\/genomic-sem-users\">here<\/a>.<\/p>\n<p>\u00a0<\/p>\n<p><strong>The full citation for the paper introducing Genomic SEM is:<br \/><\/strong>Grotzinger, A. D., Rhemtulla, M., de Vlaming, R., Ritchie, S. J., Mallard, T. T.,\u00a0 Hill, W. D, Ip, H. F., Marioni, R. E., McIntosh, A. M., Deary, I. J., Koellinger, P. D., Harden, K. P., Nivard, M. G., &amp; Tucker-Drob, E. M. (2019). Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits.<em>\u00a0Nature Human Behaviour,<\/em>\u00a0<em>3,\u00a0<\/em>513-525.\u00a0[Nivard &amp; Tucker-Drob jointly directed this work]<\/p>\n<h6><a href=\"\/\/labs.la.utexas.edu\/tucker-drob-rsb\/files\/2020\/05\/DgTaqEEUYAYClT-.jpeg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-894 aligncenter\" src=\"\/\/labs.la.utexas.edu\/tucker-drob-rsb\/files\/2020\/05\/DgTaqEEUYAYClT--1024x768.jpeg\" alt=\"\" width=\"580\" height=\"435\" srcset=\"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/files\/2020\/05\/DgTaqEEUYAYClT--1024x768.jpeg 1024w, https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/files\/2020\/05\/DgTaqEEUYAYClT--768x576.jpeg 768w, https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/files\/2020\/05\/DgTaqEEUYAYClT--1536x1152.jpeg 1536w, https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/files\/2020\/05\/DgTaqEEUYAYClT-.jpeg 2048w\" sizes=\"auto, (max-width: 580px) 100vw, 580px\" \/><\/a><\/h6>","protected":false},"excerpt":{"rendered":"<p>Genomic SEM Genomic Structural Equation Modeling (Genomic SEM) is a flexible statistical framework method for modeling the joint genetic architecture of constellations of genetically correlated traits and incorporating genetic covariance structure into multivariate GWAS discovery. Genomic SEM is applied to conventional GWAS summary statistics for the individual phenotypes of interest. It does not require raw [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-789","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"et5793","author_link":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/author\/et5793\/"},"uagb_comment_info":0,"uagb_excerpt":"Genomic SEM Genomic Structural Equation Modeling (Genomic SEM) is a flexible statistical framework method for modeling the joint genetic architecture of constellations of genetically correlated traits and incorporating genetic covariance structure into multivariate GWAS discovery. Genomic SEM is applied to conventional GWAS summary statistics for the individual phenotypes of interest. It does not require raw&hellip;","_links":{"self":[{"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/pages\/789","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/comments?post=789"}],"version-history":[{"count":17,"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/pages\/789\/revisions"}],"predecessor-version":[{"id":1675,"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/pages\/789\/revisions\/1675"}],"wp:attachment":[{"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/media?parent=789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}