Evidence map›Paper›PMID 22694982›Full record

ArticleAddictive behaviors2012

Improved methods to identify stable, highly heritable subtypes of opioid use and related behaviors.

Jiangwen Sun, Jinbo Bi, Grace Chan, David Oslin, Lindsay Farrer, Joel Gelernter, Henry R Kranzler

Abstract read
In one paragraph

Article in Addictive behaviors, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Reduced volume of the nucleus accumbens in heroin addiction.European archives of psychiatry and clinical neuroscience · 2015
    Trial
  4. Article
  5. Review
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  13. Collaborative Phenotype Inference from Comorbid Substance Use Disorders and Genotypes.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2017
    Article
  14. 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

7 authors.

Jiangwen SunDepartment of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.
Jinbo Bi
Grace Chan
David Oslin
Lindsay Farrer
Joel Gelernter
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
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
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
Approaches to the Genetics of Substance DependenceK24DA015105 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2003 to 2007
$603k
RESEARCH ON TREATMENT AND PREVENTION OF IV DRUG ABUSEP50DA005186 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI O'BRIEN, CHARLES A · 1987 to 1997
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NIAAA NIH HHS AA03510NIAAA NIH HHS AA11330NIAAA NIH HHS AA13736NIAAA NIH HHS K24 AA013736NIAAA NIH HHS P50 AA003510NIAAA NIH HHS R01 AA011330NIDA NIH HHS DA005186NIDA NIH HHS DA12690NIDA NIH HHS DA12849NIDA NIH HHS DA15105NIDA NIH HHS DA22288NIDA 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

Although there is evidence that opioid dependence (OD) is heritable, efforts to identify genes contributing to risk for the disorder have been hampered by its complex etiology and variable clinical manifestations. Decomposition of a complex set of opioid users into homogeneous subgroups could enhance genetic analysis. We applied a series of data mining techniques, including multiple correspondence analysis, variable selection and cluster analysis, to 69 opioid-related measures from 5390 subjects aggregated from family-based and case-control genetic studies to identify homogeneous subtypes and estimate their heritability. Novel aspects of this work include our use of (1) heritability estimates of specific clinical features of OD to enhance the heritability of the subtypes and (2) a k-medoids clustering method in combination with hierarchical clustering to yield replicable clusters that are less sensitive to noise than previous methods. We identified five homogeneous groups, including two large groups comprised of 762 and 1353 heavy opioid users, with estimated heritability of 0.69 and 0.76, respectively. These methods represent a promising approach to the identification of highly heritable subtypes in complex, heterogeneous disorders.

Indexed as

AdultBehavior, AddictiveCase-Control StudiesData MiningFemaleGenetic LinkageHumansMaleMiddle AgedOpioid-Related DisordersPhenotype

Identifiers

PMID22694982
PMCPMC3395719

What OpenQuestion holds

Textmetadata
LicenceTDM
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.