Evidence map›Paper›PMID 34235496›Full record

ArticleBiological psychiatry global open science2021

Genetic Liability to Cannabis Use Disorder and COVID-19 Hospitalization.

Alexander S Hatoum, Claire L Morrison, Sarah M C Colbert, Evan A Winiger, Emma C Johnson, Arpana Agrawal, Ryan Bogdan

Abstract read
In one paragraph

Article in Biological psychiatry global open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Substances of abuse and their effect on SAR-CoV-2 pathogenesis.NeuroImmune pharmacology and therapeutics · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Genetic Liability to Cannabis Use Disorder and COVID-19 Hospitalization.Biological psychiatry global open science · 2021
    Article
  8. Introduction to Special Issue on COVID-19 and Mental Health.Biological psychiatry global open science · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Alexander S HatoumDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Claire L MorrisonInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado.
Sarah M C ColbertDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Evan A WinigerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado.
Emma C JohnsonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Ryan BogdanDepartment of Psychological and Brain Sciences, Washington University in St Louis, St. Louis, Missouri.

Funding

MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
BIOMEDICAL RESEARCH TRAINING IN DRUG ABUSET32DA007261 · NIDA · WASHINGTON UNIVERSITY · PI ARPANA AGRAWAL, Jose A Moron-Concepcion · 1991 to 2026
$8.8M
Prenatal Cannabis Use (PCU) and Development of Offspring Brain and Behavior During Early Life (0-18 Months)R01DA046224 · NIDA · WASHINGTON UNIVERSITY · PI ARPANA AGRAWAL, RYAN H BOGDAN · 2019 to 2026
$6.2M
Research Training: Mental Health Behavior GeneticsT32MH016880 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI Naomi P. Friedman, Matthew Charles Keller · 1985 to 2026
$5.3M
RESEARCH TRAINING: DEVELOPMENTAL BEHAVIORAL GENETICST32HD007289 · NICHD · UNIVERSITY OF COLORADO AT BOULDER · PI STALLINGS, MICHAEL CRAIG · 1985 to 2014
$3.1M
7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
Modeling poly-genomic risk in the relationship between brain structure and alcohol involvement from adolescence through adulthoodR21AA027827 · NIAAA · WASHINGTON UNIVERSITY · PI BOGDAN, RYAN H · 2019 to 2020
$413k
Identifying Contributions to the Genetic Correlation Between Alcohol Use Disorders and SchizophreniaF32AA027435 · NIAAA · WASHINGTON UNIVERSITY · PI JOHNSON, EMMA COVEY · 2018 to 2020
$133k
NIAAA NIH HHS F32 AA027435NIAAA NIH HHS R21 AA027827NIA NIH HHS U01 AG052564NICHD NIH HHS T32 HD007289NIDA NIH HHS K02 DA032573NIDA NIH HHS R01 DA046224NIDA NIH HHS T32 DA007261NIMH NIH HHS T32 MH016880NIMH NIH HHS U01 MH109532
6 · The paper itself

Abstract

backgroundVulnerability to COVID-19 hospitalization has been linked to behavioral risk factors, including combustible psychoactive substance use (e.g., tobacco smoking). Paralleling the COVID-19 pandemic crisis have been increasingly permissive laws for recreational cannabis use. Cannabis use disorder (CUD) is a psychiatric disorder that is heritable and genetically correlated with respiratory disease, independent of tobacco smoking. We examined the genetic relationship between CUD and COVID-19 hospitalization.

methodsWe estimated the genetic correlation between CUD (case:

resultsGenetic vulnerability to COVID-19 was correlated with genetic liability to CUD (

conclusionsProblematic cannabis use and vulnerability to serious COVID-19 complications share genetic underpinnings that are unique from common correlates. While CUD may plausibly contribute to severe COVID-19 presentations, causal inference models yielded no evidence of putative causation. Curbing excessive cannabis use may mitigate the impact of COVID-19.

Indexed as

Cannabis use disorderCOVID-19Genetic correlationsGenome-wide association statisticsTobacco use

Identifiers

PMID34235496
PMCPMC8214324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.