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Substance use: Interplay between polygenic risk and neighborhood environment.
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- Author(s): Pasman, Joëlle A.1 (AUTHOR) ; Verweij, Karin J.H.1,2 (AUTHOR); Abdellaoui, Abdel2 (AUTHOR); Hottenga, Jouke Jan3,4 (AUTHOR); Fedko, Iryna O.3,4 (AUTHOR); Willemsen, Gonneke3,4 (AUTHOR); Boomsma, Dorret I.3,4 (AUTHOR); Vink, Jacqueline M.1 (AUTHOR)
- Source:
Drug & Alcohol Dependence. Apr2020, Vol. 209, pN.PAG-N.PAG. 1p.- Subject Terms:
*NEIGHBORHOODS; *GENOTYPE-environment interaction; *ALCOHOL drinking; *ECOLOGY; *SMOKING statistics; *HOUSING; *SUBSTANCE abuse diagnosis; *SUBSTANCE abuse; *GENETICS; *SEQUENCE analysis; *CROSS-sectional method; *TWINS; *SOCIAL classes; *RESEARCH funding; *RESIDENTIAL patterns; *PHENOTYPES; *LONGITUDINAL method - Source:
- Additional Information
- Subject Terms:
- Abstract:
Background: Tobacco, alcohol, and cannabis use are prevalent behaviors that pose considerable health risks. Genetic vulnerability and characteristics of the neighborhood of residence form important risk factors for substance use. Possibly, these factors do not act in isolation. This study tested the interaction between neighborhood characteristics and genetic risk (gene-environment interaction, GxE) and the association between these classes of risk factors (gene-environment correlation, rGE) in substance use.Methods: Two polygenic scores (PGS) each (based on different discovery datasets) were created for smoking initiation, cigarettes per day, and glasses of alcohol per week based on summary statistics of different genome-wide association studies (GWAS). For cannabis initiation one PGS was created. These PGS were used to predict their respective phenotype in a large population-based sample from the Netherlands Twin Register (N = 6,567). Neighborhood characteristics as retrieved from governmental registration systems were factor analyzed and resulting measures of socioeconomic status (SES) and metropolitanism were used as predictors.Results: There were (small) main effects of neighborhood characteristics and PGS on substance use. One of the 14 tested GxE effects was significant, such that the PGS was more strongly associated with alcohol use in individuals with high SES. This was effect was only significant for one out of two PGS. There were weak indications of rGE, mainly with age and cohort covariates.Conclusion: We conclude that both genetic and neighborhood-level factors are predictors for substance use. More research is needed to establish the robustness of the findings on the interplay between these factors. [ABSTRACT FROM AUTHOR] - Abstract: Copyright of Drug & Alcohol Dependence is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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