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Although it is now well\u2010accepted that genes and environments jointly shape the risk of <jats:styled-content style=\"fixed-case\">PTS<\/jats:styled-content>, no published studies have investigated genes, or gene\u2010by\u2010environment interactions (GxEs), as predictors of <jats:styled-content style=\"fixed-case\">PTS<\/jats:styled-content> trajectories. The purpose of this study was to fill this gap.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods and Materials<\/jats:title><jats:p>We examined associations between variants of the retinoid\u2010related orphan receptor alpha (<jats:italic><jats:styled-content style=\"fixed-case\">RORA<\/jats:styled-content><\/jats:italic>) gene and trajectory membership among a sample of predominantly non\u2010Hispanic Black urban adults (<jats:italic>N\u00a0<\/jats:italic>=<jats:italic>\u00a0<\/jats:italic>473). The <jats:styled-content style=\"fixed-case\">RORA<\/jats:styled-content> gene was selected based on its association with posttraumatic stress disorder (<jats:styled-content style=\"fixed-case\">PTSD<\/jats:styled-content>) in the first <jats:styled-content style=\"fixed-case\">PTSD<\/jats:styled-content> genome wide association study. Additionally, we explored GxEs between <jats:italic><jats:styled-content style=\"fixed-case\">RORA<\/jats:styled-content><\/jats:italic> variants and childhood physical abuse history.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We found that the minor allele of the <jats:italic><jats:styled-content style=\"fixed-case\">RORA<\/jats:styled-content><\/jats:italic> <jats:styled-content style=\"fixed-case\">SNP<\/jats:styled-content> rs893290 was a significant predictor of membership in a trajectory of consistently high <jats:styled-content style=\"fixed-case\">PTS<\/jats:styled-content>, relatively to a trajectory of consistently low <jats:styled-content style=\"fixed-case\">PTS<\/jats:styled-content>. Additionally, the GxE of rs893290 with childhood physical abuse was significant. Decomposition of the interaction showed that minor allele frequency was more strongly associated with membership in consistently high or decreasing <jats:styled-content style=\"fixed-case\">PTS<\/jats:styled-content> trajectories, relative to a consistently low <jats:styled-content style=\"fixed-case\">PTS<\/jats:styled-content> trajectory, among participants with higher levels of childhood physical abuse.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The results of the study provide preliminary evidence that variation in the <jats:italic><jats:styled-content style=\"fixed-case\">RORA<\/jats:styled-content><\/jats:italic> gene is associated with membership in trajectories of higher <jats:styled-content style=\"fixed-case\">PTS<\/jats:styled-content> and that these associations are stronger among persons exposed to childhood physical abuse. Replication and analysis of functional data are needed to further our understanding of how <jats:italic><jats:styled-content style=\"fixed-case\">RORA<\/jats:styled-content><\/jats:italic> relates to <jats:styled-content style=\"fixed-case\">PTS<\/jats:styled-content> trajectories.<\/jats:p><\/jats:sec>","DOI":"10.1002\/brb3.323","type":"journal-article","created":{"date-parts":[[2015,3,9]],"date-time":"2015-03-09T02:08:49Z","timestamp":1425866929000},"source":"Crossref","is-referenced-by-count":20,"title":["<i>RORA<\/i> and posttraumatic stress trajectories: main effects and interactions with childhood physical abuse history"],"prefix":"10.1002","volume":"5","author":[{"given":"Sarah R.","family":"Lowe","sequence":"first","affiliation":[{"name":"Department of Epidemiology Mailman School of Public Health Columbia University New York New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacquelyn L.","family":"Meyers","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Mailman School of Public Health Columbia University New York New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandro","family":"Galea","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Boston University School of Public Health Boston Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allison E.","family":"Aiello","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Gillings School of Global Public Health University of North Carolina Chapel Hill North Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monica","family":"Uddin","sequence":"additional","affiliation":[{"name":"Department of Psychology University of Illinois Urbana\u2010Champaign Champaign Illinois"},{"name":"Institute for Genomic Biology University of Illinois Urbana\u2010Champaign Urbana Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Derek E.","family":"Wildman","sequence":"additional","affiliation":[{"name":"Institute for Genomic Biology University of Illinois Urbana\u2010Champaign Urbana Illinois"},{"name":"Depratment of Molecular and Integrative Physiology University of Illinois Urbana\u2010Champaign Urbana Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karestan C.","family":"Koenen","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Mailman School of Public Health Columbia University New York New York"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2015,3,8]]},"reference":[{"key":"e_1_2_9_2_1","volume-title":"Diagnostic and statistical manual of mental disorders","author":"American Psychological Association","year":"1994"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1176\/appi.books.9780890425596"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.3928\/00485713-20090526-01"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/mp.2012.189"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.20982\/tqmp.05.1.p011"},{"key":"e_1_2_9_7_1","volume-title":"Auxiliary variables in mixture modeling: 3\u2010step approaches using Mplus","author":"Asparouhov T.","year":"2013"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/jpepsy\/jst085"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.299.11.1291"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/jts.2490080106"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/0005-7967(96)00033-2"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1093\/pan\/mph001"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/jcpp.12021"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1001\/archpsyc.55.7.626"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1177\/1077559506298248"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-clinpsy-032210-104518"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/jts.20523"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2011.11020191"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2009.08.029"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2012.12040432"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-7610.2009.02100.x"},{"key":"e_1_2_9_22_1","volume-title":"IBM SPSS statistics for Windows. 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