Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium

dc.contributor.authorPolimanti, Renato
dc.contributor.authorWalters, Raymond K.
dc.contributor.authorJohnson, Emma C.
dc.contributor.authorMcClintick, Jeanette N.
dc.contributor.authorAdkins, Amy E.
dc.contributor.authorAdkins, Daniel E.
dc.contributor.authorBacanu, Silviu-Alin
dc.contributor.authorBierut, Laura J.
dc.contributor.authorBigdeli, Tim B.
dc.contributor.authorBrown, Sandra
dc.contributor.authorBucholz, Kathleen K.
dc.contributor.authorCopeland, William E.
dc.contributor.authorCostello, E. Jane
dc.contributor.authorDegenhardt, Louisa
dc.contributor.authorFarrer, Lindsay A.
dc.contributor.authorForoud, Tatiana M.
dc.contributor.authorFox, Louis
dc.contributor.authorGoate, Alison M.
dc.contributor.authorGrucza, Richard
dc.contributor.authorHack, Laura M.
dc.contributor.authorHancock, Dana B.
dc.contributor.authorHartz, Sarah M.
dc.contributor.authorHeath, Andrew C.
dc.contributor.authorHewitt, John K.
dc.contributor.authorHopfer, Christian J.
dc.contributor.authorJohnson, Eric O.
dc.contributor.authorKendler, Kenneth S.
dc.contributor.authorKranzler, Henry R.
dc.contributor.authorKrauter, Kenneth
dc.contributor.authorLai, Dongbing
dc.contributor.authorMadden, Pamela A.F.
dc.contributor.authorMartin, Nicholas G.
dc.contributor.authorMaes, Hermine H.
dc.contributor.authorNelson, Elliot C.
dc.contributor.authorPeterson, Roseann E.
dc.contributor.authorPorjesz, Bernice
dc.contributor.authorRiley, Brien P.
dc.contributor.authorSaccone, Nancy
dc.contributor.authorStallings, Michael
dc.contributor.authorWall, Tamara L.
dc.contributor.authorWebb, Bradley T.
dc.contributor.authorWetherill, Leah
dc.contributor.departmentBiochemistry and Molecular Biology, School of Medicineen_US
dc.date.accessioned2023-03-01T18:40:07Z
dc.date.available2023-03-01T18:40:07Z
dc.date.issued2020-08
dc.description.abstractTo provide insights into the biology of opioid dependence (OD) and opioid use (i.e., exposure, OE), we completed a genome-wide analysis comparing 4503 OD cases, 4173 opioid-exposed controls, and 32,500 opioid-unexposed controls, including participants of European and African descent (EUR and AFR, respectively). Among the variants identified, rs9291211 was associated with OE (exposed vs. unexposed controls; EUR z = -5.39, p = 7.2 × 10-8). This variant regulates the transcriptomic profiles of SLC30A9 and BEND4 in multiple brain tissues and was previously associated with depression, alcohol consumption, and neuroticism. A phenome-wide scan of rs9291211 in the UK Biobank (N > 360,000) found association of this variant with propensity to use dietary supplements (p = 1.68 × 10-8). With respect to the same OE phenotype in the gene-based analysis, we identified SDCCAG8 (EUR + AFR z = 4.69, p = 10-6), which was previously associated with educational attainment, risk-taking behaviors, and schizophrenia. In addition, rs201123820 showed a genome-wide significant difference between OD cases and unexposed controls (AFR z = 5.55, p = 2.9 × 10-8) and a significant association with musculoskeletal disorders in the UK Biobank (p = 4.88 × 10-7). A polygenic risk score (PRS) based on a GWAS of risk-tolerance (n = 466,571) was positively associated with OD (OD vs. unexposed controls, p = 8.1 × 10-5; OD cases vs. exposed controls, p = 0.054) and OE (exposed vs. unexposed controls, p = 3.6 × 10-5). A PRS based on a GWAS of neuroticism (n = 390,278) was positively associated with OD (OD vs. unexposed controls, p = 3.2 × 10-5; OD vs. exposed controls, p = 0.002) but not with OE (p = 0.67). Our analyses highlight the difference between dependence and exposure and the importance of considering the definition of controls in studies of addiction.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationPolimanti R, Walters RK, Johnson EC, et al. Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium. Mol Psychiatry. 2020;25(8):1673-1687. doi:10.1038/s41380-020-0677-9en_US
dc.identifier.urihttps://hdl.handle.net/1805/31556
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.isversionof10.1038/s41380-020-0677-9en_US
dc.relation.journalMolecular Psychiatryen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectOpioidsen_US
dc.subjectSubstanceen_US
dc.subjectAbuseen_US
dc.subjectGeneticsen_US
dc.subjectGenome-wide association studyen_US
dc.titleLeveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortiumen_US
dc.typeArticleen_US
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