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A greater understanding of genetic influences on this phenomenon could inform precision medicine efforts. We used the Yale-Penn dataset, a cross-sectional sample enriched for individuals with SUDs, to examine pleiotropic effects of genetic liability for psychiatric and somatic traits. Participants completed an in-depth interview that provides information on demographics, environment, medical illnesses, and psychiatric and SUDs. Polygenic scores (PGS) for psychiatric disorders and somatic traits were calculated in European-ancestry (EUR;\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20095691) participants and, when discovery datasets were available, for African-ancestry (AFR;\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20094918) participants. Phenome-wide association studies (PheWAS) were then conducted. In AFR participants, the only PGS with significant associations was bipolar disorder (BD), all of which were with substance use phenotypes. In EUR participants, PGS for major depressive disorder (MDD), generalized anxiety disorder (GAD), post-traumatic stress disorder (PTSD), schizophrenia (SCZ), body mass index (BMI), coronary artery disease (CAD), and type 2 diabetes (T2D) all showed significant associations, the majority of which were with phenotypes in the substance use categories. For instance, PGS\n                    <jats:sub>MDD<\/jats:sub>\n                    was associated with over 200 phenotypes, 15 of which were depression-related (e.g., depression criterion count), 55 of which were other psychiatric phenotypes, and 126 of which were substance use phenotypes; and PGS\n                    <jats:sub>BMI<\/jats:sub>\n                    was associated with 138 phenotypes, 105 of which were substance related. Genetic liability for psychiatric and somatic traits is associated with numerous phenotypes across multiple categories, indicative of the broad genetic liability of these traits.\n                  <\/jats:p>","DOI":"10.1038\/s41386-024-01922-2","type":"journal-article","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T04:01:52Z","timestamp":1721707312000},"page":"1958-1967","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Application of polygenic scores to a deeply phenotyped sample enriched for substance use disorders reveals extensive pleiotropy with psychiatric and somatic traits"],"prefix":"10.1038","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5137-9714","authenticated-orcid":false,"given":"Emily E.","family":"Hartwell","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeal","family":"Jinwala","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jackson","family":"Milone","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Ramirez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4067-1859","authenticated-orcid":false,"given":"Joel","family":"Gelernter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1018-0450","authenticated-orcid":false,"given":"Henry R.","family":"Kranzler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8820-2659","authenticated-orcid":false,"given":"Rachel L.","family":"Kember","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,23]]},"reference":[{"key":"1922_CR1","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1002\/pon.3372","volume":"23","author":"O Nakash","year":"2014","unstructured":"Nakash O, Levav I, Aguilar-Gaxiola S, Alonso J, Andrade LH, Angermeyer MC, et al. 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