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Substance use: Interplay between polygenic risk and neighborhood environment

  • Joëlle A Pasman
  • , Karin J H Verweij
  • , Abdel Abdellaoui
  • , Jouke Jan Hottenga
  • , Iryna O Fedko
  • , Gonneke Willemsen
  • , Dorret I Boomsma
  • , Jacqueline M Vink

Research output: Contribution to JournalArticleAcademicpeer-review

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.

Original languageEnglish
Article number107948
Pages (from-to)1-8
Number of pages8
JournalDrug and Alcohol Dependence
Volume209
Early online date28 Feb 2020
DOIs
Publication statusPublished - 1 Apr 2020

Bibliographical note

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Funding

FundersFunder number
Avera Institute
BBMRI
BiG Grid480‐05‐003, 284167
Biobanking and Biomolecular Resources Research Infrastructure
Center for Medical Systems Biology
ENGAGEHEALTH-F4-2007-201413
European Community's Seventh Framework ProgramFP7/2007-2013
European Science Council
Foundation Volksbond Rotterdam
NBIC/BioAssist/RK2008.024, 184.021.007
Netherlands Organization for Scientific Research
Spinozapremie56-464-14192
National Institutes of Health1RC2 MH089951, MH081802, 1RC2 MH08999, R01D0042157-01A
National Institute of Mental HealthU24 MH068457-06
National Institute on Drug AbuseR01DA042157
College of Environmental Science and Forestry, State University of New YorkEU/QLRT-2001-01254
European Research Council230374
European Science Foundation
ZonMw849200011
Nederlandse Organisatie voor Wetenschappelijk Onderzoek480-04-004, 463-06-001, 904-61-090, 400-05-717, 451-04-034, 904-61-193, 985-10-002, 912-10-020
Leids Universitair Medisch Centrum
Universitair Medisch Centrum Groningen

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Cohort Studies

    • Netherlands Twin Register (NTR)

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