Evidence map›Paper›PMID 36545904›Full record

ArticleSchizophrenia bulletin2023

Associations Between Cannabis Use, Polygenic Liability for Schizophrenia, and Cannabis-related Experiences in a Sample of Cannabis Users.

Emma C Johnson, Sarah M C Colbert, Paul W Jeffries, Rebecca Tillman, Tim B Bigdeli, Nicole R Karcher, Grace Chan, Samuel Kuperman, Jacquelyn L Meyers, John I Nurnberger and 13 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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

23 authors.

Emma C JohnsonDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA.ORCID 0000-0003-0394-777X
Sarah M C ColbertDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA.
Paul W JeffriesDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA.
Rebecca TillmanDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA.
Tim B BigdeliDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Nicole R KarcherDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA.ORCID 0000-0001-5887-5529
Grace ChanDepartment of Psychiatry, University of Connecticut, Farmington, CT, USA.
Samuel KupermanDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
Jacquelyn L MeyersDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
John I NurnbergerDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Martin H PlaweckiDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.
Louisa DegenhardtNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Chella KamarajanDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Marc A SchuckitDepartment of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA.
Robin M MurrayDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Danielle M DickDepartment of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Howard J EdenbergDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Deepak Cyril D'SouzaDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Marta Di FortiDepartment of Social Genetics and Developmental Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Bernice PorjeszDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Elliot C NelsonDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA.
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
7/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01DA054869 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2021 to 2025
$3.3M
Opioid Dependence: Candidate Genes and G x E EffectsR01DA017305 · NIDA · WASHINGTON UNIVERSITY · PI NELSON, ELLIOT C · 2003 to 2007
$2.5M
GENOTYPING FOR LOCATING HUMAN DISEASE GENESN01HG065403 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID L · 1996 to 2000
$1.7M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
Identifying genetic sources of comorbidity between cannabis and schizophrenia using genome-wide and integrative omics dataK01DA051759 · NIDA · WASHINGTON UNIVERSITY · PI JOHNSON, EMMA COVEY · 2021 to 2025
$816k
Cross-sectional and longitudinal predictors of distressing psychotic-like experiences in childhood and adolescenceK23MH121792 · NIMH · WASHINGTON UNIVERSITY · PI KARCHER, NICOLE R. · 2020 to 2024
$815k
NCATS NIH HHS UL1 TR001863NHGRI NIH HHS N01 HG065403NHGRI NIH HHS N01HG65403NIAAA NIH HHS U10 AA008401NIDA NIH HHS K01 DA051759NIDA NIH HHS K02 DA032573NIDA NIH HHS R01 DA017305NIDA NIH HHS R01 DA054869NIMH NIH HHS K23 MH121792
6 · The paper itself

Abstract

background and hypothesisRisk for cannabis use and schizophrenia is influenced in part by genetic factors, and there is evidence that genetic risk for schizophrenia is associated with subclinical psychotic-like experiences (PLEs). Few studies to date have examined whether genetic risk for schizophrenia is associated with cannabis-related PLEs. STUDY

designWe tested whether measures of cannabis involvement and polygenic risk scores (PRS) for schizophrenia were associated with self-reported cannabis-related experiences in a sample ascertained for alcohol use disorders (AUDs), the Collaborative Study on the Genetics of Alcoholism (COGA). We analyzed 4832 subjects (3128 of European ancestry and 1704 of African ancestry; 42% female; 74% meeting lifetime criteria for an AUD). STUDY

resultsCannabis use disorder (CUD) was prevalent in this analytic sample (70%), with 40% classified as mild, 25% as moderate, and 35% as severe. Polygenic risk for schizophrenia was positively associated with cannabis-related paranoia, feeling depressed or anhedonia, social withdrawal, and cognitive difficulties, even when controlling for duration of daily cannabis use, CUD, and age at first cannabis use. The schizophrenia PRS was most robustly associated with cannabis-related cognitive difficulties (β = 0.22, SE = 0.04, P = 5.2e-7). In an independent replication sample (N = 1446), associations between the schizophrenia PRS and cannabis-related experiences were in the expected direction and not statistically different in magnitude from those in the COGA sample.

conclusionsAmong individuals who regularly use cannabis, genetic liability for schizophrenia-even in those without clinical features-may increase the likelihood of reporting unusual experiences related to cannabis use.

Indexed as

AlcoholismCannabisSchizophreniaFemaleGenetic Predisposition to DiseaseHumansMaleMultifactorial InheritanceRisk Factors

Identifiers

PMID36545904
PMCPMC10154717

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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.