Evidence map›Paper›PMID 21306596›Full record

ArticleAddiction (Abingdon, England)2011

Empirically derived subtypes of opioid use and related behaviors.

Grace Chan, Joel Gelernter, David Oslin, Lindsay Farrer, Henry R Kranzler

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
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  7. Review
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  11. Comparing the utility of homogeneous subtypes of cocaine use and related behaviors with DSM-IV cocaine dependence as traits for genetic association analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2014
    Article
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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

5 authors.

Grace ChanDepartment of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA.
Joel Gelernter
David Oslin
Lindsay Farrer
Henry R Kranzler

Funding

TREATMENT STRATEGIES FOR METHODONE NONRESPONDERSP60DA005186 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI O'BRIEN, CHARLES P · 1997 to 2012
$28.1M
Vulnerabilities for coping-related drinking among post-college young adultsP60AA003510 · NIAAA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI BABOR, THOMAS F · 2008 to 2017
$17.5M
Deep sequencing studies for cannabis and stimulant dependenceR01DA030976 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EHLERS, CINDY L, GELERNTER, JOEL · 2010 to 2014
$16.5M
Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
WHO COLLABORATIVE PROJECT ON MANAGEMENT OF HARMFUL ALCOHOL CONSUMPTIONP50AA003510 · NIAAA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HESSELBROCK, VICTOR M · 1985 to 2007
$13.6M
GENETICS OF COCAINE DEPENDENCER01DA012849 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1999 to 2010
$11.5M
Linkage Disequilibrium Studies of Alcohol DependenceR01AA011330 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1997 to 2013
$6.4M
Genetics of Cocaine DependenceR01DA018432 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KRANZLER, HENRY RICHARD · 2006 to 2010
$3.5M
Genetics of Alcohol Dependence in African-AmericansR01AA017535 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2013
$3.0M
Mentoring in Drug Abuse and Dual Diagnosis ResearchK24DA022288 · NIDA · MCLEAN HOSPITAL · PI WEISS, ROGER D. · 2007 to 2016
$1.8M
Novel Approaches to Alcoholism Pharmacotherapy and RiskK24AA013736 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI KRANZLER, HENRY RICHARD · 2002 to 2012
$1.5M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008607 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KREAM, BARBARA E · 1999 to 2006
$896k
NIAAA NIH HHS AA03510NIAAA NIH HHS AA11330NIAAA NIH HHS AA13736NIAAA NIH HHS K24 AA013736NIAAA NIH HHS P50 AA003510NIAAA NIH HHS R01 AA011330NIAAA NIH HHS R01 AA017535NIDA NIH HHS DA005186NIDA NIH HHS DA12690NIDA NIH HHS DA12849NIDA NIH HHS DA15105NIDA NIH HHS DA22288NIDA NIH HHS DA30976NIDA NIH HHS K24 DA015105NIDA NIH HHS K24 DA022288NIDA NIH HHS P50 DA005186NIDA NIH HHS P60 DA005186NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849NIDA NIH HHS R01 DA018432NIGMS NIH HHS GM08607NIGMS NIH HHS T32 GM008607
6 · The paper itself

Abstract

aimsTo identify and validate homogeneous subtypes of opioid use and related behaviors.

designFamily-based and case-control genetic studies of opioid and/or cocaine dependence. SETTINGS: Clinical and general community samples from Connecticut, Massachusetts, Pennsylvania and South Carolina.

participantsA total of 4061 individuals (2003 individuals from 835 families and 2058 unrelated individuals) recruited to participate in genetic studies. MEASUREMENTS: The computer-assisted Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA) was used to assess participants' demographics, medical history, substance use behaviors and disorders and other psychiatric disorders.

findingsFive homogeneous subtypes were identified, which differed on opioid-related measures, demographics and prevalence rates of substance use and psychiatric disorders. Heritability estimates for the two most severely affected subtypes exceeded 0.60.

conclusionsAn empirical approach based on opioid use and related behaviors can yield homogeneous subtypes that could be of value in gene finding for opioid dependence.

Indexed as

PhenotypeAdolescentAdultAgedAge of OnsetAnalgesics, OpioidChildCluster AnalysisComorbidityDiagnostic and Statistical Manual of Mental DisordersFamily HealthFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansAnalgesics, Opioid

Identifiers

PMID21306596
PMCPMC3164489

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.