Evidence map›Paper›PMID 35395044›Full record

ArticlePloS one2022

Positive associations between cannabis and alcohol use polygenic risk scores and phenotypic opioid misuse among African-Americans.

Jill A Rabinowitz, Jin Jin, Sally I-Chun Kuo, Adrian I Campos, Miguel E Rentería, Andrew S Huhn, Johannes Thrul, Beth A Reboussin, Kelly Benke, Benjamin Domingue and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
1.2field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

15 authors at 7 institutions in 2 countries.

Jill A RabinowitzDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID 0000-0002-3674-8032
Jin JinDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Sally I-Chun KuoDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, United States of America.ORCID 0000-0002-6192-1001
Adrian I CamposDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Miguel E RenteríaDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Andrew S HuhnDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Johannes ThrulDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID 0000-0001-8929-9579
Beth A ReboussinDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, United States of America.
Kelly BenkeDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Benjamin DomingueGraduate School of Education, Stanford University, Stanford, CA, United States of America.
Nicholas S IalongoDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Brion S MaherDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Darlene KertesDepartment of Psychology, University of Florida, Gainesville, FL, United States of America.
Vanessa TroianiGeisinger, Lewisburg, PA, United States of America.ORCID 0000-0001-6689-8157
George UhlNew Mexico VA HealthCare System, Albuquerque, New Mexico, United States of America.
Johns Hopkins University · USQIMR Berghofer Medical Research Institute · AUNew Mexico VA Health Care System · USStanford University · USUniversity of Florida · USVirginia Commonwealth University · USWake Forest University · US

Funding

Supplemental Application for Clinical and Genetic Risk Profile of Opioid Use DisorderR01DA044015 · NIDA · GEISINGER CLINIC · PI BERRETTINI, WADE H, ROBISHAW, JANET D · 2017 to 2021
$4.5M
TRANSITIONS INTO ADULTHOOD--THE BALTIMORE STUDYR01DA009897 · NIDA · JOHNS HOPKINS UNIVERSITY · PI EATON, WILLIAM W · 1997 to 2011
$4.4M
PERIODIC FOLLOW UP OF TWO UNIVERSAL PREVENTIVE TRIALSR01MH057005 · NIMH · JOHNS HOPKINS UNIVERSITY · PI IALONGO, NICHOLAS S · 1998 to 2007
$4.2M
Development & Malleability from Childhood to AdulthoodR01DA044184 · NIDA · JOHNS HOPKINS UNIVERSITY · PI IALONGO, NICHOLAS S · 2018 to 2022
$3.9M
Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk PredictionR01HG010480 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2019 to 2023
$2.8M
PERIODIC OUTCOME OF TWO PREVENTIVE TRIALSR01MH042968 · NIMH · JOHNS HOPKINS UNIVERSITY · PI KELLAM, SHEPPARD G · 1989 to 2004
$2.3M
FOLLOWUP OF TWO UNIVERSAL PREVENTIVE INTERVENTIONSR01DA011796 · NIDA · JOHNS HOPKINS UNIVERSITY · PI IALONGO, NICHOLAS S · 1999 to 2004
$2.0M
Multi-ethnic risk prediction for complex human diseases integrating multi-source genetic and non-genetic informationR00HG012223 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JIN, JIN · 2023 to 2025
$727k
Multi-ethnic risk prediction for complex human diseases integrating multi-source genetic and non-genetic informationK99HG012223 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI JIN, JIN · 2022 to 2022
$95k
ETIOLOGY &PREVENTION OF DRUG-RELATED BEHAVIORR01DA004392 · NIDA · JOHNS HOPKINS UNIVERSITY · PI ANTHONY, JAMES C · 1987 to 1994
–
NHGRI NIH HHS K99 HG012223NHGRI NIH HHS R00 HG012223NHGRI NIH HHS R01 HG010480NIDA NIH HHS R01 DA004392NIDA NIH HHS R01 DA009897NIDA NIH HHS R01 DA011796NIDA NIH HHS R01 DA044015NIDA NIH HHS R01 DA044184NIMH NIH HHS R01 MH042968NIMH NIH HHS R01 MH057005
6 · The paper itself

Abstract

backgroundThis study examined whether polygenic risk scores (PRS) for lifetime cannabis and alcohol use were associated with misusing opioids, and whether sex differences existed in these relations in an urban, African-American sample.

methodsData were drawn from three cohorts of participants (N = 1,103; 45% male) who were recruited in first grade as part of a series of elementary school-based, universal preventive intervention trials conducted in a Mid-Atlantic region of the U.S. In young adulthood, participants provided a DNA sample and reported on whether they had used heroin or misused prescription opioids in their lifetime. Three substance use PRS were computed based on prior GWAS: lifetime cannabis use from Pasman et al. (2018), heavy drinking indexed via maximum number of drinks from Gelernter et al. (2019), and alcohol consumption from Kranzler et al. (2019).

resultsHigher PRS for lifetime cannabis use, greater heavy drinking, and greater alcohol consumption were associated with heightened risk for misusing opioids among the whole sample. Significant sex by PRS interactions were also observed such that higher PRS for heavy drinking and alcohol consumption were associated with a greater likelihood of opioid misuse among males, but not females.

conclusionOur findings further elucidate the genetic contributions to misusing opioids by showing that the genetics of cannabis and alcohol consumption are associated with lifetime opioid misuse among young adults, though replication of our findings is needed.

Indexed as

CannabisHallucinogensOpioid-Related DisordersPrescription Drug MisuseAdultAlcohol DrinkingAnalgesics, OpioidBlack or African AmericanFemaleHumansMaleRisk FactorsYoung AdultAnalgesics, OpioidHallucinogens

Identifiers

PMID35395044
PMCPMC8993003
OpenAlexW4224508071

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.