Journal article
Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts
Molecular psychiatry, Vol.27, pp.4633-4641
10/04/2022
DOI: 10.1038/s41380-022-01801-6
PMCID: PMC9938102
PMID: 36195638
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 (NEUR = 12,659) and African (NAFR = 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). PGS for problematic alcohol use, externalizing, and smoking quantity were associated with alcohol dependence, drug dependence, and nicotine dependence, respectively (OR = 1.11–1.33). PGS for problematic alcohol use and externalizing were also associated with any substance dependence (ORs = 1.09–1.18). The full model explained 6–13% of the variance in SUDs. Those in the top 10% of CERI and PGS had relative risk ratios of 3.86–8.04 for each SUD relative to the bottom 90%. Overall, the combined measures of clinical, environmental, and genetic risk demonstrated modest ability to distinguish between affected and unaffected individuals in young adulthood. PGS were significant but added little in addition to the clinical/environmental risk index. Results from our analysis demonstrate there is still considerable work to be done before tools such as these are ready for clinical applications.
Details
- Title: Subtitle
- Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts
- Creators
- Peter B Barr - SUNY Downstate Health Sciences UniversityMorgan N DriverSally I-Chun KuoMallory StephensonFazil AlievRichard Karlsson LinnérJesse MarksAndrey P AnokhinKathleen BucholzGrace ChanHoward J EdenbergAlexis C EdwardsMeredith W FrancisDana B HancockK Paige HardenChella KamarajanJaakko KaprioSivan KinreichJohn R KramerSamuel KupermanAntti LatvalaJacquelyn L MeyersAbraham A PalmerMartin H PlaweckiBernice PorjeszRichard J RoseMarc A SchuckitJessica E SalvatoreDanielle M Dick
- Resource Type
- Journal article
- Publication Details
- Molecular psychiatry, Vol.27, pp.4633-4641
- DOI
- 10.1038/s41380-022-01801-6
- PMID
- 36195638
- PMCID
- PMC9938102
- NLM abbreviation
- Mol Psychiatry
- eISSN
- 1476-5578
- Grant note
- DOI: 10.13039/501100004410, name: Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, award: 114C117; DOI: 10.13039/501100002341, name: Academy of Finland, award: 205585, 118555, 141054, 308248, 308698, 312073; DOI: 10.13039/100000027, name: U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism, award: R01AA015416, K02AA018755; DOI: 10.13039/100000026, name: U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse, award: R01DA050721, R01DA042090; name: U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism; name: U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse
- Language
- English
- Date published
- 10/04/2022
- Academic Unit
- Psychiatry
- Record Identifier
- 9984303960102771
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