Evidence map›Paper›PMID 24315570›Full record

ArticleDrug and alcohol dependence2014

DSM-5 cannabis use disorder: a phenotypic and genomic perspective.

Arpana Agrawal, Michael T Lynskey, Kathleen K Bucholz, Manav Kapoor, Laura Almasy, Danielle M Dick, Howard J Edenberg, Tatiana Foroud, Alison Goate, Dana B Hancock and 8 more

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  12. A genome-wide association study of social genetic effects in Landrace pigs.Asian-Australasian journal of animal sciences · 2018
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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

18 authors at 10 institutions in 2 countries.

Arpana AgrawalWashington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA. Electronic address: arpana@wustl.edu.
Michael T LynskeyWashington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA; King's College, Institute of Psychiatry, London, UK.
Kathleen K BucholzWashington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA.
Manav KapoorWashington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA.
Laura AlmasyTexas Biomedical Research Institute, San Antonio, TX, USA.
Danielle M DickVirginia Commonwealth University, Virginia Institute of Psychiatric and Behavioral Genetics, VA, USA.
Howard J EdenbergIndiana University School of Medicine, Indianapolis, IN, USA.
Tatiana ForoudIndiana University School of Medicine, Indianapolis, IN, USA.
Alison GoateWashington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA.
Dana B HancockRTI International, Behavioral and Health Epidemiology Program, Research Triangle Park, NC, USA.
Sarah HartzWashington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA.
Eric O JohnsonRTI International, Behavioral and Health Epidemiology Program, Research Triangle Park, NC, USA.
Victor HesselbrockUniversity of Connecticut, Department of Psychiatry, Farmington, CT, USA.
John R KramerUniversity of Iowa School of Medicine, Department of Psychiatry, Iowa City, IA, USA.
Samuel KupermanUniversity of Iowa Hospitals, Division of Child Psychiatry, Iowa City, IA, USA.
John I NurnbergerIndiana University School of Medicine, Indianapolis, IN, USA.
Marc SchuckitUniversity of California at San Diego, Department of Psychiatry, San Diego, CA, USA.
Laura J BierutWashington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA.
Washington University in St. Louis · USIndiana University School of MedicineRTI International · USIndiana University – Purdue University Indianapolis · USTexas Biomedical Research Institute · USUniversity of California, San Diego · USUniversity of Connecticut · USUniversity of Iowa · USUniversity of Iowa Hospitals and Clinics · USVirginia Commonwealth University · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI GOATE, ALISON M · 2001 to 2012
$17.3M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
CANNABIS AND TOBACCO INVOLVEMENT: A TWIN STUDYR01DA023668 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2007 to 2016
$2.5M
FAMILY STUDY OF COCAINE DEPENDENCER01DA013423 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA JEAN · 2000 to 2004
$2.2M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
Case Control Candidate Gene Study of AddictionR01DA019963 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2007 to 2009
$1.2M
Study of Addiction: Genetics and EnvironmentU01HG004422 · NHGRI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2007 to 2010
$1.2M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR001108NCI NIH HHS P01 CA089392NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01HG004438NHGRI NIH HHS U01 HG004446NIAAA NIH HHS K02 AA018755NIAAA NIH HHS U10 AA008401NIDA NIH HHS K02 DA032573NIDA NIH HHS K02DA032573NIDA NIH HHS K08 DA032680NIDA NIH HHS R01 DA013423NIDA NIH HHS R01 DA019963NIDA NIH HHS R01 DA023668NIDA NIH HHS R01DA23668
6 · The paper itself

Abstract

backgroundWe explore the factor structure of DSM-5 cannabis use disorders, examine its prevalence across European- and African-American respondents as well as its genetic underpinnings, utilizing data from a genome-wide study of single nucleotide polymorphisms (SNPs). We also estimate the heritability of DSM-5 cannabis use disorders explained by these common SNPs.

methodsData on 3053 subjects reporting a lifetime history of cannabis use were utilized. Exploratory and confirmatory factor analyses were conducted to create a factor score, which was used in a genome-wide association analysis. p-values from the single SNP analysis were examined for evidence of gene-based association. The aggregate effect of all SNPs was also estimated using Genome-Wide Complex Traits Analysis.

resultsThe unidimensionality of DSM-5 cannabis use disorder criteria was demonstrated. Comparing DSM-IV to DSM-5, a decrease in prevalence of cannabis use disorders was only noted in European-American respondents and was exceedingly modest. For the DSM-5 cannabis use disorders factor score, no SNP surpassed the genome-wide significance testing threshold. However, in the European-American subsample, gene-based association testing resulted in significant associations in 3 genes (C17orf58, BPTF and PPM1D) on chromosome 17q24. In aggregate, 21% of the variance in DSM-5 cannabis use disorders was explained by the genome-wide SNPs; however, this estimate was not statistically significant.

conclusionsDSM-5 cannabis use disorder represents a unidimensional construct, the prevalence of which is only modestly elevated above the DSM-IV version. Considerably larger sample sizes will be required to identify individual SNPs associated with cannabis use disorders and unequivocally establish its polygenic underpinnings.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersGenotypePhenotypeAdolescentAdultAgedFemaleGenome-Wide Association StudyHumansMaleMarijuana AbuseMiddle AgedYoung AdultAssociationCannabisDSM-5GeneticsGWASHeritability

Identifiers

PMID24315570
PMCPMC3943464
OpenAlexW2132331239

What OpenQuestion holds

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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.