{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Barr PB"],"funding":["Academy of Finland","NICHD NIH HHS","European Research Council","NIDA NIH HHS","NIA NIH HHS","Medical Research Council","U.S. Department of Health &amp; Human Services | NIH | National Institute on Drug Abuse","NIAAA NIH HHS","Wellcome Trust","Türkiye Bilimsel ve Teknolojik Araştirma Kurumu","U.S. Department of Health &amp; Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism"],"pagination":["4633-4641"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9938102"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["27(11)"],"pubmed_abstract":["Substance use disorders (SUDs) incur serious social and personal costs. The risk for SUDs is complex, with risk factors ranging from social conditions to individual genetic variation. We examined whether models that include a clinical/environmental risk index (CERI) and polygenic scores (PGS) are able to identify individuals at increased risk of SUD in young adulthood across four longitudinal cohorts for a combined sample of N = 15,134. Our analyses included participants of European (N<sub>EUR</sub> = 12,659) and African (N<sub>AFR</sub> = 2475) ancestries. SUD outcomes included: (1) alcohol dependence, (2) nicotine dependence; (3) drug dependence, and (4) any substance dependence. In the models containing the PGS and CERI, the CERI was associated with all three outcomes (ORs = 01.37-1.67)"],"journal":["Molecular psychiatry"],"pubmed_title":["Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts."],"pmcid":["PMC9938102"],"funding_grant_id":["R01 DA042090","R01AA015416","P50 AA022537","R01 AA018333","217065/Z/19/Z","086684","205585","U10 AA008401","R01DA050721","118555","P01 HD031921","U01 AG071448","K02 AA018755","MC_QA137853","MC_PC_15018","308248","MC_PC_17228","R01 DA050721","G9815508","114C117","R01 AA015416","R01DA042090","312073","141054","U01 AG071450","K02AA018755","647648","MC_PC_19009","308698"],"pubmed_authors":["Kuperman S","Kaprio J","Dick DM","Edenberg HJ","Porjesz B","Edwards AC","Stephenson M","Plawecki MH","Francis MW","Bucholz K","Barr PB","Kinreich S","Anokhin AP","Kramer JR","Hancock DB","Latvala A","Linner RK","Aliev F","Chan G","Rose RJ","Kuo SI","Marks J","Salvatore JE","Harden KP","Meyers JL","Driver MN","Kamarajan C","Palmer AA","Schuckit MA"],"additional_accession":[]},"is_claimable":false,"name":"Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts.","description":"Substance use disorders (SUDs) incur serious social and personal costs. The risk for SUDs is complex, with risk factors ranging from social conditions to individual genetic variation. We examined whether models that include a clinical/environmental risk index (CERI) and polygenic scores (PGS) are able to identify individuals at increased risk of SUD in young adulthood across four longitudinal cohorts for a combined sample of N = 15,134. Our analyses included participants of European (N<sub>EUR</sub> = 12,659) and African (N<sub>AFR</sub> = 2475) ancestries. SUD outcomes included: (1) alcohol dependence, (2) nicotine dependence; (3) drug dependence, and (4) any substance dependence. In the models containing the PGS and CERI, the CERI was associated with all three outcomes (ORs = 01.37-1.67)","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Nov","modification":"2026-06-04T05:49:43.782Z","creation":"2025-04-19T13:30:19.168Z"},"accession":"S-EPMC9938102","cross_references":{"pubmed":["36195638"],"doi":["10.1038/s41380-022-01801-6"]}}