Evidence map›Paper›PMID 30474892›Full record

ArticleAddiction (Abingdon, England)2019

Exploring the relationship between polygenic risk for cannabis use, peer cannabis use and the longitudinal course of cannabis involvement.

Emma C Johnson, Rebecca Tillman, Fazil Aliev, Jacquelyn L Meyers, Jessica E Salvatore, Andrey P Anokhin, Danielle M Dick, Howard J Edenberg, John R Kramer, Samuel Kuperman and 7 more

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Predicting Genetic Risk for Impulsivity and Substance Use in Adolescence.medRxiv : the preprint server for health sciences · 2025
    Article
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  6. Review
  7. Review
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  10. 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

17 authors.

Emma C JohnsonDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0003-0394-777X
Rebecca TillmanDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.
Fazil AlievDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA.
Jacquelyn L MeyersDepartment of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY, USA.
Jessica E SalvatoreDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0001-5504-5087
Andrey P AnokhinDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.
Danielle M DickDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA.
Howard J EdenbergDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA.
John R KramerDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
Samuel KupermanDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
Vivia V McCutcheonDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0002-2694-5438
John I NurnbergerDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.
Bernice PorjeszDepartment of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY, USA.
Marc A SchuckitDepartment of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA.
Jay TischfieldDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Kathleen K BucholzDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI Jacquelyn Leigh Meyers · 1989 to 2026
$162.7M
Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
GENETICS, THE ADOLESCENT BRAIN, AND ADDICTION LIABILITY: A LONGITUDINAL TWIN STUDYR01HD083614 · NICHD · WASHINGTON UNIVERSITY · PI ANOKHIN, ANDREY P. · 2016 to 2020
$3.0M
NEUROCOGNITIVE CONSEQUENCES OF ADOLESCENT MARIJUANA USER01DA040716 · NIDA · WASHINGTON UNIVERSITY · PI ANOKHIN, ANDREY P. · 2017 to 2021
$3.0M
3/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109536 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARNEY, ALEXANDER W, HUCKINS, LAURA MARIANNE · 2016 to 2020
$2.7M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
CANNABIS, DEPRESSION AND SUICIDAL THOUGHTS AND BEHAVIORSR01DA040411 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, GRUCZA, RICHARD A · 2015 to 2017
$1.1M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
Genetics, Romantic Relationships, and Alcohol Misuse in Emerging AdulthoodK01AA024152 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI SALVATORE, JESSICA E · 2016 to 2020
$741k
Gene-Environment Interaction for Cannabis Use Disorders in Blacks and Whites in the U.S.K01DA037914 · NIDA · SUNY DOWNSTATE MEDICAL CENTER · PI MEYERS, JACQUELYN LEIGH · 2015 to 2019
$573k
NIAAA NIH HHS K01 AA024152NIAAA NIH HHS K02 AA018755NIAAA NIH HHS U10 AA008401NICHD NIH HHS R01 HD083614NIDA NIH HHS K01 DA037914NIDA NIH HHS K02 DA032573NIDA NIH HHS R01 DA040411NIDA NIH HHS R01 DA040716NIMH NIH HHS U01 MH109532NIMH NIH HHS U01 MH109536
6 · The paper itself

Abstract

BACKGROUND AND

aimsFew studies have explored how polygenic propensity to cannabis use unfolds across development, and no studies have yet examined this question in the context of environmental contributions such as peer cannabis use. Outlining the factors that contribute to progression from cannabis initiation to problem use over time may ultimately provide insights into mechanisms for targeted interventions. We sought to examine the relationships between polygenic liability for cannabis use, cannabis use trajectories from ages 12-30 years and perceived peer cannabis use at ages 12-17 years.

designMixed-effect logistic and linear regressions were used to examine associations between polygenic risk scores, cannabis use trajectory membership and perceived peer cannabis use.

settingUnited States.

participantsFrom the Collaborative Study on the Genetics of Alcoholism (COGA) study, a cohort of 1167 individuals aged 12-26 years at their baseline (i.e. first) interview. MEASUREMENTS: Key measurements included life-time cannabis use (yes/no), frequency of past 12-month cannabis use, maximum life-time frequency of cannabis use, cannabis use disorder (using DSM-5 criteria) and perceived peer cannabis use. Polygenic risk scores (PRS) were created using summary statistics from a large (n = 162 082) genome-wide association study (GWAS) of cannabis use.

findingsThree trajectories reflecting no/low (n = 844), moderate (n = 137) and high (n = 186) use were identified. PRS were significantly associated with trajectory membership [P = 0.002-0.006, maximum conditional R

conclusionsGenetic propensity to cannabis use derived from heterogeneous samples appears to correlate with longitudinal increases in cannabis use frequency in young adults.

Indexed as

CannabisGenetic Predisposition to DiseaseMultifactorial InheritancePeer InfluenceAdolescentAlcoholicsChildCohort StudiesFemaleGenome-Wide Association StudyHumansMaleMarijuana UseRisk FactorsUnited StatesWhite PeopleCannabis useexternalizing behaviorshigh-risk samplepeer influencepolygenic risk scoretrajectories

Identifiers

PMID30474892
PMCPMC6411425

What OpenQuestion holds

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Registered trials

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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.