Evidence map›Paper›PMID 30875648›Full record

ArticleDrug and alcohol dependence2019

Association between polygenic risk for tobacco or alcohol consumption and liability to licit and illicit substance use in young Australian adults.

Lun-Hsien Chang, Baptiste Couvy-Duchesne, Mengzhen Liu, Sarah E Medland, Brad Verhulst, Eric G Benotsch, Ian B Hickie, Nicholas G Martin, Nathan A Gillespie, GSCAN Consortium

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
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  7. Article
  8. Digital interventions for substance use disorders in young people: rapid review.Substance abuse treatment, prevention, and policy · 2023
    Review
  9. Article
  10. Multi-Polygenic Analysis of Nicotine Dependence in Individuals of European Ancestry.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  11. Article
  12. Article
  13. Review
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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

10 authors at 6 institutions in 2 countries.

Lun-Hsien ChangGenetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia; Faculty of Medicine, the University of Queensland, Brisbane, Australia. Electronic address: Lun-Hsien.Chang@qimrberghofer.edu.au.
Baptiste Couvy-DuchesneGenetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia; Institute for Molecular Bioscience, the University of Queensland, Brisbane, Australia.
Mengzhen LiuDepartment of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Sarah E MedlandGenetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Brad VerhulstDepartment of Psychology, Michigan State University, East Lansing, MI, USA.
Eric G BenotschPsychology Department, Virginia Commonwealth University, VA, USA.
Ian B HickieBrain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia.
Nicholas G MartinGenetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Nathan A GillespieGenetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia; Department of Psychology, Michigan State University, East Lansing, MI, USA.
GSCAN Consortium
QIMR Berghofer Medical Research Institute · AUThe University of Queensland · AUMichigan State University · USThe University of Sydney · AUUniversity of Minnesota · USVirginia Commonwealth University · US

Funding

Genetic Association Meta-Analyses of Smoking and Drinking for the Sequencing AgeR01DA037904 · NIDA · UNIVERSITY OF MINNESOTA · PI VRIEZE, SCOTT IAN · 2015 to 2019
$2.4M
Genetic & environmental pathways to drug use, abuse & dependenceR00DA023549 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI GILLESPIE, NATHAN ALEXANDER · 2010 to 2012
$717k
The Genetic and Environmental Etiology of Non-Medical Use of Prescription DrugsR21DA038852 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BENOTSCH, ERIC G, GILLESPIE, NATHAN ALEXANDER · 2016 to 2017
$419k
Genetic & environmental pathways to drug use, abuse & dependenceK99DA023549 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI GILLESPIE, NATHAN ALEXANDER · 2008 to 2009
$166k
NIDA NIH HHS K99 DA023549NIDA NIH HHS R00 DA023549NIDA NIH HHS R01 DA037904NIDA NIH HHS R21 DA038852
6 · The paper itself

Abstract

backgroundCo-morbid substance use is very common. Despite a historical focus using genetic epidemiology to investigate comorbid substance use and misuse, few studies have examined substance-substance associations using polygenic risk score (PRS) methods.

methodsUsing summary statistics from the largest substance use GWAS to date (258,797- 632,802 subjects), GWAS and Sequencing Consortium of Alcohol and Nicotine use (GSCAN), we constructed PRSs for smoking initiation (PRS-SI), age of initiation of regular smoking (PRS-AI), cigarettes per day (PRS-CPD), smoking cessation (PRS-SC), and drinks per week (PRS-DPW). We then estimated the fixed effect of individual PRSs on 22 lifetime substance use and substance use disorder phenotypes collected in an independent sample of 2463 young Australian adults using genetic restricted maximal likelihood (GREML) in Genome-wide Complex Trait Analysis (GCTA), separately in females, males and both sexes together.

resultsAfter accounting for multiple testing, PRS-SI significantly explained variation in the risk of cocaine (0.67%), amphetamine (1.54%), hallucinogens (0.72%), ecstasy (1.66%) and cannabis initiation (0.97%), as well as DSM-5 alcohol use disorder (0.72%). PRS-DPW explained 0.75%, 0.59% and 0.90% of the variation of cocaine, amphetamine and ecstasy initiation respectively. None of the 22 phenotypes including emergent classes of substance use were significantly predicted by PRS-AI, PRS-CPD, and PRS-SC.

conclusionsTo our knowledge, this is the first study to report significant genetic overlap between the polygenic risks for smoking initiation and alcohol consumption and the risk of initiating major classes of illicit substances. PRSs constructed from large discovery GWASs allows the detection of novel genetic associations.

Indexed as

Multifactorial InheritanceAdultAlcohol DrinkingAlcoholismAustraliaComorbidityFemaleGenome-Wide Association StudyHumansMalePhenotypeRisk FactorsSmokingSubstance-Related DisordersTobacco UseYoung AdultAddictionGeneticsPolygenic riskTwins

Identifiers

PMID30875648
PMCPMC11100300
OpenAlexW2913351347

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.