Alcohol and nicotine polygenic scores are associated with the development of alcohol and nicotine use problems from adolescence to young adulthood.
Background and Aims: Molecular genetic studies of alcohol and nicotine use have identified many genome‐wide association study (GWAS) loci. We measured associations between drinking and smoking polygenic scores (PGS) and trajectories of alcohol and nicotine use outcomes from late childhood to early a...
| Publicado en: | Addiction Vol. 117; no. 4; pp. 1117 - 1128 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155656554&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155656554 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09652140 AIO jtl: Addiction issn: 09652140 maglogo: Y pubinfo: dt: Apr2022 vid: 117 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 155656554 153169825 155656554 155656554 10.1111/add.15697 155656554 ppf: 1117 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Alcohol and nicotine polygenic scores are associated with the development of alcohol and nicotine use problems from adolescence to young adulthood. aug: au: Deak, Joseph D. Clark, D. Angus Liu, Mengzhen Schaefer, Jonathan D. Jang, Seon Kyeong Durbin, C. Emily Iacono, William G. McGue, Matt Vrieze, Scott Hicks, Brian M. affil: Yale University, New Haven CT,, USA sug: subj: Alcohol Drinking Nicotine Smoking Substance Use Disorders Risk Factors Substance Use Disorders Risk Factors Molecular Biology Genetics Human Adolescence Adult Correlational Studies Structural Equation Modeling Binge Drinking United States Risk Taking Behavior Adolescent Behavior Risk Assessment Adolescent: 13-18 years Adult: 19-44 years ab: Background and Aims: Molecular genetic studies of alcohol and nicotine use have identified many genome‐wide association study (GWAS) loci. We measured associations between drinking and smoking polygenic scores (PGS) and trajectories of alcohol and nicotine use outcomes from late childhood to early adulthood, substance‐specific versus broader‐liability PGS effects, and if PGS performance varied for consumption versus problematic substance use. Design, setting, participants and measurements: We fitted latent growth curve models with structured residuals to scores on measures of alcohol and nicotine use and problems from ages 14 to 34 years. We then estimated associations between the intercept (initial status) and slope (rate of change) parameters and PGSs for drinks per week (DPW), problematic alcohol use (PAU), cigarettes per day (CPD) and ever being a regular smoker (SMK), controlling for sex and genetic principal components. All data were analyzed in the United States. PGSs were calculated for participants of the Minnesota Twin Family Study (n = 3225) using results from the largest GWAS of alcohol and nicotine consumption and problematic use to date. Findings Each PGS was associated with trajectories of use for their respective substances [i.e. DPW (βmean = 0.08; βrange = 0.02–0.12) and PAU (βmean = 0.12; βrange = −0.02 to 0.31) for alcohol; CPD (βmean = 0.08; βrange = 0.04–0.14) and SMK (βmean = 0.18; βrange = 0.05–0.36) for nicotine]. The PAU and SMK PGSs also exhibited cross‐substance associations (i.e. PAU for nicotine‐specific intercepts and SMK for alcohol intercepts and slope). All identified SMK PGS effects remained as significant predictors of nicotine and alcohol trajectories (βmean = 0.15; βrange = 0.02–0.33), even after adjusting for the respective effects of all other PGSs. Conclusions: Substance use‐related polygenic scores (PGSs) vary in the strength and generality versus specificity of their associations with substance use and problems over time. The regular smoking PGS appears to be a robust predictor of substance use trajectories and seems to measure both nicotine‐specific and non‐specific genetic liability for substance use, and potentially externalizing problems in general. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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