Cited by 34Cannabis and Cannabinoid ResearchNeurotransmitter Receptor Influence on BehaviorSubstance Abuse Treatment and Outcomes

Testing bidirectional effects between cannabis use and depressive symptoms: moderation by the serotonin transporter gene: Cannabis, depressive symptoms

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Otten, Roy, Engels, Rutger C. M. E.·2013·Addiction Biology

Abstract

Evidence for the assumption that cannabis use is associated with depression and depressive symptoms is inconsistent and mostly weak. It is likely that the mixed results are due to the fact that prior studies ignored the moderating effects of an individual's genetic vulnerability. The present study takes a first step in scrutinizing the relationship between cannabis use and depressive symptoms by taking a developmental molecular-genetic perspective. Specifically, we concentrated on changes in cannabis use and depressive symptoms over time in a simultaneous manner and differences herein for individuals with and without the short allele of the 5-hydroxytryptamine (serotonin) transporter gene-linked polymorphic region (5-HTTLPR) genotype. Data were from 310 adolescents over a period of 4 years. We used a parallel-process growth model, which allows co-development of cannabis use and depressive symptoms throughout adolescence, and the possible role of the 5-HTTLPR genotype in this process. We used data from the younger siblings of these adolescents in an attempt to replicate potential findings. The parallel-process growth model shows that cannabis use increases the risk for an increase in depressive symptoms over time but only in the presence of the short allele of the 5-HTTLPR genotype. This effect remained significant after controlling for covariates. We did not find conclusive support for the idea that depressive symptoms affect cannabis use. These findings were replicated in the sample of the younger siblings. The findings of the present study show first evidence that the links between cannabis use and depressive symptoms are conditional on the individual's genetic makeup.

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  • Another study found an increased risk of depression among adolescents who possessed the short allele of the serotonin transporter gene (5-HTTLPR genotype) (S/S), evincing an interaction between genetics and an environmental exposure (cannabis).

    “Another study 69 found an increased risk of depression among adolescents who possessed the short allele of the serotonin transporter gene (5-HTTLPR genotype) (S/S), evincing an interaction between genetics and an environmental exposure (cannabis).”

    From Association of Cannabis Use in Adolescence and Risk of Depression, Anxiety, and Suicidality in Young Adulthood (2019) · cites this paper as [69]

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  1. Browne MW, Cudeck R (1993) Alternative ways of assessing model fit. In: Bollen KA, Long JS, eds. Testing Structural Equa- tion Models, pp. 136-162.

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Authors
Otten, R., & Engels, R. C. M. E.
Affiliations
Radboud University Nijmegen (NL)
Corresponding author
Otten, Roy
Venue
Addiction Biology
Publisher
Wiley
Published
2011-10-04
Volume
18
Issue
5
Pages
826-835
ISSN
1355-6215 (ISSN-L)
OpenAlex
W2166762036
Cited by
34
References
47
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2023: 1 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 2 · 2017: 6 · 2016: 2 · 2015: 3 · 2014: 2 · 2013: 1 · 2012: 2
FWCI
1.17
Type
journal article
Language
en
Open access
Locations
  • Addiction Biology (publishedVersion)
  • PubMed (publishedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Pharmacology › Cannabis and Cannabinoid Research
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords
cannabis use, depressive symptoms, 5-HTTLPR, serotonin transporter gene, genetic moderation, bidirectional effects, adolescents, genetic susceptibility
MeSH terms
Adolescent, Alleles, Marijuana Abuse, Depression, Female, Genotype, Humans, Longitudinal Studies, Male, Models, Psychological, Molecular Biology, Netherlands, Personality Assessment, Risk Factors, Time Factors, Models, Statistical, Polymerase Chain Reaction, Parenting, Genetic Predisposition to Disease, Siblings, Serotonin Plasma Membrane Transport Proteins, Self Report, Gene-Environment Interaction

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