Evidence map›Paper›PMID 31111357›Full record

SynthesisBehavior genetics2019

Systematic Review of Polygenic Gene-Environment Interaction in Tobacco, Alcohol, and Cannabis Use.

Joëlle A Pasman, Karin J H Verweij, Jacqueline M Vink

Abstract readSystematic Review
In one paragraph

Synthesis in Behavior genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Research Review: A review of the past decade of family and genomic studies on adolescent mental health.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Review
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  16. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Joëlle A PasmanBehavioural Science Institute, Radboud University, Nijmegen, The Netherlands. j.pasman@pwo.ru.nl.ORCID 0000-0001-7558-0482
Karin J H VerweijBehavioural Science Institute, Radboud University, Nijmegen, The Netherlands.
Jacqueline M VinkBehavioural Science Institute, Radboud University, Nijmegen, The Netherlands.

Funding

European Research Council 284167
6 · The paper itself

Abstract

Studies testing the effect of single genetic variants on substance use have had modest success. This paper reviewed 39 studies using polygenic measures to test interaction with any type of environmental exposure (G×E) in alcohol, tobacco, and cannabis use. Studies using haplotype combinations, sum scores of candidate-gene risk alleles, and polygenic scores (PS) were included. Overall study quality was moderate, with lower ratings for the polygenic methods in the haplotype and candidate-gene score studies. Heterogeneity in investigated environmental exposures, genetic factors, and outcomes was substantial. Most studies (N = 30) reported at least one significant G×E interaction, but overall evidence was weak. The majority (N = 26) found results in line with differential susceptibility and diathesis-stress frameworks. Future studies should pay more attention to methodological and statistical rigor, and focus on replication efforts. Additional work is needed before firm conclusions can be drawn about the importance of G×E in the etiology of substance use.

Indexed as

Gene-Environment InteractionAlcohol DrinkingAllelesCannabisEthanolGene FrequencyGenetic Predisposition to DiseaseHaplotypesHumansMarijuana UseMultifactorial InheritanceRisk FactorsTobacco ProductsTobacco UseEthanolAlcoholCannabisGene–environment interactionGenetic riskPolygenic riskTobacco

Identifiers

PMID31111357
PMCPMC6554261

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.