Evidence map›Paper›PMID 22500942›Full record

ArticleAddiction biology2014

Association of OPRD1 polymorphisms with heroin dependence in a large case-control series.

Elliot C Nelson, Michael T Lynskey, Andrew C Heath, Naomi Wray, Arpana Agrawal, Fiona L Shand, Anjali K Henders, Leanne Wallace, Alexandre A Todorov, Andrew J Schrage and 4 more

Open access · greenAbstract read
In one paragraph

Article in Addiction biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
3.1field-weighted citation impact, top 7% 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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. An intronic variant in OPRD1 predicts treatment outcome for opioid dependence in African-Americans.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2013
    Trial
  7. Article
  8. Review
  9. Review
  10. Association ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
  11. Review
  12. Biochemical Diagnosis in Substance and Non-substance Addiction.Advances in experimental medicine and biology · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Pharmacogenetics of Addiction Therapy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  19. Review
  20. 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

14 authors at 3 institutions in 2 countries.

Elliot C NelsonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA Queensland Institute of Medical Research, Australia National Drug and Alcohol Research Centre, University of New South Wales, Australia Burnet Institute, Centre for Health Policy, Programs and Economics, School of Population Health, University of Melbourne, Australia.
Michael T Lynskey
Andrew C Heath
Naomi Wray
Arpana Agrawal
Fiona L Shand
Anjali K Henders
Leanne Wallace
Alexandre A Todorov
Andrew J Schrage
Pamela A F Madden
Louisa Degenhardt
Nicholas G Martin
Grant W Montgomery
Washington University in St. Louis · USQIMR Berghofer Medical Research Institute · AUUNSW Sydney · AU

Funding

Opioid Dependence: Candidate Genes and G x E EffectsR01DA017305 · NIDA · WASHINGTON UNIVERSITY · PI NELSON, ELLIOT C · 2003 to 2007
$2.5M
GENE-ENVIRONMENT INTERPLAY IN ALCOHOLISMK05AA017688 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2008 to 2017
$1.9M
NIAAA NIH HHS K05 AA017688NIDA NIH HHS R01 DA017305
6 · The paper itself

Abstract

Genes encoding the opioid receptors (OPRM1, OPRD1 and OPRK1) are obvious candidates for involvement in risk for heroin dependence. Prior association studies commonly had samples of modest size, included limited single nucleotide polymorphism (SNP) coverage of these genes and yielded inconsistent results. Participants for the current investigation included 1459 heroin-dependent cases ascertained from maintenance clinics in New South Wales, Australia, 1495 unrelated individuals selected from an Australian sample of twins and siblings as not meeting DSM-IV criteria for lifetime alcohol or illicit drug dependence (non-dependent controls) and 531 controls ascertained from economically disadvantaged neighborhoods in proximity to the maintenance clinics. A total of 136 OPRM1, OPRD1 and OPRK1 SNPs were genotyped in this sample. After controlling for admixture with principal components analysis, our comparison of cases to non-dependent controls found four OPRD1 SNPs in fairly high linkage disequilibrium for which adjusted P values remained significant (e.g. rs2236857; OR 1.25; P=2.95×10(-4) ) replicating a previously reported association. A post hoc analysis revealed that the two SNP (rs2236857 and rs581111) GA haplotype in OPRD1 is associated with greater risk (OR 1.68; P=1.41×10(-5) ). No OPRM1 or OPRK1 SNPs reached more than nominal significance. Comparisons of cases to neighborhood controls reached only nominal significance. Our results replicate a prior report providing strong evidence implicating OPRD1 SNPs and, in particular, the two SNP (rs2236857 and rs581111) GA haplotype in liability for heroin dependence. Support was not found for similar association involving either OPRM1 or OPRK1 SNPs.

Indexed as

AdultCase-Control StudiesControl GroupsFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHaplotypesHapMap ProjectHeroin DependenceHumansLinkage DisequilibriumLogistic ModelsMaleMiddle AgedNew South WalesPolymorphism, Single NucleotideOPRD1 protein, humanReceptors, OpioidReceptors, Opioid, deltaAssociation studycase-controlheroin dependenceOPRD1OPRK1OPRM1

Identifiers

PMID22500942
PMCPMC3867542
OpenAlexW2149902451

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.