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Vink JM, Veul L, Abdellaoui A, Hottenga JJ, Boomsma DI, Verweij KJH. Illicit drug use and the genetic overlap with Cannabis use. Drug Alcohol Depend 2020; 213:108102. [PMID: 32585418 DOI: 10.1016/j.drugalcdep.2020.108102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 05/01/2020] [Accepted: 05/26/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND The use of illicit substances is correlated, meaning that individuals who use one illicit substance are more likely to also use another illicit substance. This association could (partly) be explained by overlapping genetic factors. Genetic overlap may indicate a common underlying genetic predisposition, or can be the result of a causal association. METHODS Polygenic scores for lifetime cannabis use were generated in a sample of Dutch participants (N = 8348). We tested the association of a PGS for cannabis use with ecstasy, stimulants and a broad category of illicit drug use. To explore the nature of the relationship: (1) these analyses were repeated separately in cannabis users and non-users and (2) monozogytic twin pairs discordant for cannabis use were compared on their drug use. RESULTS The lifetime prevalence was 24.8 % for cannabis, 6.2 % for ecstasy, 6.5 % for stimulants and 7.1 % for any illicit drug use. Significant, positive associations were found between PGS for cannabis use with ecstasy use, stimulants and any illicit drug use. These associations seemed to be stronger in cannabis users compared to non-users for both ecstasy and stimulant use, but only in people born after 1968 and not significant after correction for multiple testing. The discordant twin pair analyses suggested that cannabis use could play a causal role in drug use. CONCLUSIONS The genetic liability underlying cannabis use significantly explained variability in ecstasy, stimulant and any illicit drug use. Further research should further explore the underlying mechanism to understand the nature of the association.
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Affiliation(s)
- Jacqueline M Vink
- Behavioural Science Institute, Radboud University, Montessorilaan 3, 6525 HR, Nijmegen, the Netherlands.
| | - Laura Veul
- Amsterdam UMC, location AMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - Abdel Abdellaoui
- Amsterdam UMC, location AMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - Jouke-Jan Hottenga
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, De Boelelaan 1105, 1081 HV, Amsterdam, the Netherlands
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, De Boelelaan 1105, 1081 HV, Amsterdam, the Netherlands
| | - Karin J H Verweij
- Amsterdam UMC, location AMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
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Abdellaoui A, Treur JL, Nivard MG, Smit DJA, Veul L, Vermeulen JM, Peyrot W, Penninx BWJH, Boomsma DI, van den Brink W, Denys D, Verweij KJH. [Genes and environment both important in psychological suffering]. Tijdschr Psychiatr 2020; 62:835-838. [PMID: 33184812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
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Abdellaoui A, Hugh-Jones D, Yengo L, Kemper KE, Nivard MG, Veul L, Holtz Y, Zietsch BP, Frayling TM, Wray NR, Yang J, Verweij KJH, Visscher PM. Genetic correlates of social stratification in Great Britain. Nat Hum Behav 2019; 3:1332-1342. [PMID: 31636407 DOI: 10.1038/s41562-019-0757-5] [Citation(s) in RCA: 110] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 09/18/2019] [Indexed: 02/07/2023]
Abstract
Human DNA polymorphisms vary across geographic regions, with the most commonly observed variation reflecting distant ancestry differences. Here we investigate the geographic clustering of common genetic variants that influence complex traits in a sample of ~450,000 individuals from Great Britain. Of 33 traits analysed, 21 showed significant geographic clustering at the genetic level after controlling for ancestry, probably reflecting migration driven by socioeconomic status (SES). Alleles associated with educational attainment (EA) showed the most clustering, with EA-decreasing alleles clustering in lower SES areas such as coal mining areas. Individuals who leave coal mining areas carry more EA-increasing alleles on average than those in the rest of Great Britain. The level of geographic clustering is correlated with genetic associations between complex traits and regional measures of SES, health and cultural outcomes. Our results are consistent with the hypothesis that social stratification leaves visible marks in geographic arrangements of common allele frequencies and gene-environment correlations.
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Affiliation(s)
- Abdel Abdellaoui
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | | | - Loic Yengo
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Kathryn E Kemper
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Michel G Nivard
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Laura Veul
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Yan Holtz
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Brendan P Zietsch
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.,Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Jian Yang
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.,Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Karin J H Verweij
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Peter M Visscher
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia. .,Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.
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