Exploring the relationship between polygenic risk for cannabis use, peer cannabis use and the longitudinal course of cannabis involvement

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dc.authoridBucholz, Kathleen/0000-0003-3794-0736
dc.authoridJohnson, Emma/0000-0003-0394-777X
dc.authoridSalvatore, Jessica/0000-0001-5504-5087
dc.authoridAnokhin, Andrey/0000-0001-8158-6346
dc.authoridKuperman, Samuel/0000-0002-5995-1981
dc.contributor.authorJohnson, Emma C.
dc.contributor.authorTillman, Rebecca
dc.contributor.authorAliev, Fazil
dc.contributor.authorMeyers, Jacquelyn L.
dc.contributor.authorSalvatore, Jessica E.
dc.contributor.authorAnokhin, Andrey P.
dc.contributor.authorDick, Danielle M.
dc.date.accessioned2024-09-29T16:04:34Z
dc.date.available2024-09-29T16:04:34Z
dc.date.issued2019
dc.departmentKarabük Üniversitesien_US
dc.description.abstractBackground and aims Few studies have explored how polygenic propensity to cannabis use unfolds across development, and no studies have yet examined this question in the context of environmental contributions such as peer cannabis use. Outlining the factors that contribute to progression from cannabis initiation to problem use over time may ultimately provide insights into mechanisms for targeted interventions. We sought to examine the relationships between polygenic liability for cannabis use, cannabis use trajectories from ages 12-30 years and perceived peer cannabis use at ages 12-17 years. Design Mixed-effect logistic and linear regressions were used to examine associations between polygenic risk scores, cannabis use trajectory membership and perceived peer cannabis use. Setting United States. Participants From the Collaborative Study on the Genetics of Alcoholism (COGA) study, a cohort of 1167 individuals aged 12-26 years at their baseline (i.e. first) interview. Measurements Key measurements included life-time cannabis use (yes/no), frequency of past 12-month cannabis use, maximum life-time frequency of cannabis use, cannabis use disorder (using DSM-5 criteria) and perceived peer cannabis use. Polygenic risk scores (PRS) were created using summary statistics from a large (n = 162 082) genome-wide association study (GWAS) of cannabis use. Findings Three trajectories reflecting no/low (n = 844), moderate (n = 137) and high (n = 186) use were identified. PRS were significantly associated with trajectory membership [P = 0.002-0.006, maximum conditional R-2 = 1.4%, odds ratios (ORs) = 1.40-1.49]. Individuals who reported that most/all of their best friends used cannabis had significantly higher PRS than those who reported that none of their friends were users [OR = 1.35, 95% confidence interval (CI) = 1.04, 1.75, P = 0.023]. Perceived peer use itself explained up to 11.3% of the variance in trajectory class membership (OR = 1.50-4.65). When peer cannabis use and the cannabis use PRS were entered into the model simultaneously, both the PRS and peer use continued to be significantly associated with class membership (P < 0.01). Conclusions Genetic propensity to cannabis use derived from heterogeneous samples appears to correlate with longitudinal increases in cannabis use frequency in young adults.en_US
dc.description.sponsorshipNational Institute on Drug Abuse [K02DA32573, DA040411, DA040716, K01DA037914]; National Institute on Alcohol Abuse and Alcoholism [K02AA018755]; National Institute of Mental Health [MH109532]; NIH Grant from the National Institute on Alcohol Abuse and Alcoholism (NIAAA) [U10AA008401]; National Institute on Drug Abuse (NIDA)en_US
dc.description.sponsorshipThis research is supported by the National Institute on Drug Abuse [K02DA32573 (A. A.), DA040411 (E.C.J.), DA040716 (A.P.A.), and K01DA037914 (J.L.M.)], the National Institute on Alcohol Abuse and Alcoholism [K02AA018755 (D.M.D.)], and the National Institute of Mental Health [MH109532 (E.C.J.)]. The Collaborative Study on the Genetics of Alcoholism (COGA), Principal Investigators (PIs) B. Porjesz, V. Hesselbrock, H. Edenberg, L. Bierut, includes 11 different centers: University of Connecticut (V. Hesselbrock); Indiana University (H. J. Edenberg, J. Nurnberger Jr, T. Foroud); University of Iowa (S. Kuperman, J. Kramer); SUNY Downstate (B. Porjesz); Washington University in St Louis (L. Bierut, J. Rice, K. Bucholz, A. Agrawal); University of California at San Diego (M. Schuckit); Rutgers University (J. Tischfield, A. Brooks); Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA (L. Almasy), Virginia Commonwealth University (D. Dick), Icahn School of Medicine at Mount Sinai (A. Goate) and Howard University (R. Taylor). Other COGA collaborators include: L. Bauer (University of Connecticut); J. McClintick, L. Wetherill, X. Xuei, Y. Liu, D. Lai, S. O'Connor, M. Plawecki, S. Lourens (Indiana University); G. Chan (University of Iowa; University of Connecticut); J. Meyers, D. Chorlian, C. Kamarajan, A. Pandey, J. Zhang (SUNY Downstate); J.-C. Wang, M. Kapoor, S. Bertelsen (Icahn School of Medicine at Mount Sinai); A. Anokhin, V. McCutcheon, S. Saccone (Washington University); J. Salvatore, F. Aliev, B. Cho (Virginia Commonwealth University); and Mark Kos (University of Texas Rio Grande Valley). A. Parsian and H. Chen are the NIAAA Staff Collaborators. We continue to be inspired by our memories of Henri Begleiter and Theodore Reich, founding PI and Co-PI of COGA, and also owe a debt of gratitude to other past organizers of COGA, including Ting-Kai Li, P. Michael Conneally, Raymond Crowe and Wendy Reich, for their critical contributions. This national collaborative study is supported by NIH Grant U10AA008401 from the National Institute on Alcohol Abuse and Alcoholism (NIAAA) and the National Institute on Drug Abuse (NIDA). This study included summary statistics of a genetic study on cannabis use (Pasman et al., in press, Nature Neuroscience). We would like to acknowledge all participating groups of the International Cannabis Consortium, and in particular the members of the working group including Joelle Pasman, Karin Verweij, Nathan Gillespie, Eske Derks and Jacqueline Vink. Pasman et al. (2018) included data from the UK Biobank resource under application numbers 9905, 16406 and 25331.en_US
dc.identifier.doi10.1111/add.14512
dc.identifier.endpage697en_US
dc.identifier.issn0965-2140
dc.identifier.issn1360-0443
dc.identifier.issue4en_US
dc.identifier.pmid30474892en_US
dc.identifier.scopus2-s2.0-85059349851en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage687en_US
dc.identifier.urihttps://doi.org/10.1111/add.14512
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6204
dc.identifier.volume114en_US
dc.identifier.wosWOS:000460661000016en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofAddictionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCannabis useen_US
dc.subjectexternalizing behaviorsen_US
dc.subjecthigh-risk sampleen_US
dc.subjectpeer influenceen_US
dc.subjectpolygenic risk scoreen_US
dc.subjecttrajectoriesen_US
dc.titleExploring the relationship between polygenic risk for cannabis use, peer cannabis use and the longitudinal course of cannabis involvementen_US
dc.typeArticleen_US

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