Evidence map›Paper›PMID 17416470›Full record

SynthesisDrug and alcohol dependence2007

Evaluation of OPRM1 variants in heroin dependence by family-based association testing and meta-analysis.

Stephen J Glatt, Chad Bousman, Richard S Wang, Kenton K Murthy, Brinda K Rana, Jessica A Lasky-Su, Shao C Zhu, Ruimin Zhang, Jianhua Li, Bo Zhang and 4 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Drug and alcohol dependence, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Genome-Wide Association Study of Opioid Cessation.Journal of clinical medicine · 2020
    Article
  9. A review of opioid addiction genetics.Current opinion in psychology · 2019
    Review
  10. Review
  11. Pharmacogenetics of OPRM1.Pharmacology, biochemistry, and behavior · 2014
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review
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 5 institutions in 2 countries.

Stephen J GlattDepartment of Psychiatry and Behavioral Sciences, Medical Genetics Research Center, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA. glatts@upstate.edu
Chad Bousman
Richard S Wang
Kenton K Murthy
Brinda K Rana
Jessica A Lasky-Su
Shao C Zhu
Ruimin Zhang
Jianhua Li
Bo Zhang
Jixiang Li
Michael J Lyons
Stephen V Faraone
Ming T Tsuang
University of California, San Diego · USYunnan Institute For Drug Abuse · CNSUNY Upstate Medical University · USBoston University · USMassachusetts Mental Health Center · US

Funding

MOLECULAR GENETICS OF HEROIN DEPENDENCER01DA012846 · NIDA · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI TSUANG, MING T. · 1999 to 2004
$3.1M
NIDA NIH HHS R01 DA012846NIDA NIH HHS R01DA012846
6 · The paper itself

Abstract

OPRM1, which codes for the mu-opioid receptor, is the most frequently studied candidate gene for opioid dependence. Despite numerous allelic association studies, no definitive conclusion has been reached regarding the role of OPRM1 polymorphisms in determining risk for opioid dependence. We attempted to resolve this by conducting a family-based association study and meta-analysis which may be more robust and powerful, respectively, than traditional case-control analyses. First, we genotyped three single nucleotide polymorphisms (SNPs) of OPRM1 in 1208 individuals from 473 Han Chinese families ascertained on the basis of having two or more siblings with DSM-IV-defined opioid dependence. The Val6Ala and Arg111His SNPs were detected, but with low minor allele frequencies (0.002 and 0.001, respectively). The Asn40Asp SNP was more informative (minor allele frequency: 0.419), but no significant evidence was observed for either a dominant (p=0.810) or additive (p=0.406) effect of this polymorphism on risk for opioid dependence. In addition, a meta-analysis of case-control studies of opioid dependence was performed, and found a similar lack of evidence for an association with the Asn40Asp SNP (p=0.859). Although a role of OPRM1 polymorphisms in determining risk for opioid dependence cannot be entirely discounted, a major contribution of the Asn40Asp polymorphism seems unlikely. Further analysis is warranted in samples from specific ancestral groups. In addition, it is critical that other OPRM1 variants, including all haplotype-tagging and amino-acid-coding SNPs, be tested for an influence on risk for opioid dependence, since the Asn40Asp polymorphism is only one of several hundred known mutations in the gene.

Indexed as

AllelesDiagnostic and Statistical Manual of Mental DisordersDNAGenotypeHeroin DependenceHumansPolymorphism, GeneticReceptors, Opioid, muDNAOPRM1 protein, humanReceptors, Opioid, mu

Identifiers

PMID17416470
PMCPMC2012941
OpenAlexW2160440155

What OpenQuestion holds

Textmetadata
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.