Evidence map›Paper›PMID 23454283›Full record

ArticleNeuroscience letters2013

Low frequency genetic variants in the μ-opioid receptor (OPRM1) affect risk for addiction to heroin and cocaine.

Toni-Kim Clarke, Richard C Crist, Kyle M Kampman, Charles A Dackis, Helen M Pettinati, Charles P O'Brien, David W Oslin, Thomas N Ferraro, Falk W Lohoff, Wade H Berrettini

Abstract read
In one paragraph

Article in Neuroscience letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Genetic and Epigenetic Approaches to Opioid Use Disorder.Expert reviews in molecular medicine · 2025
    Review
  5. Article
  6. Review
  7. OPRM1 Gene Polymorphism in Women with Alcohol Use Disorder.International journal of molecular sciences · 2024
    Article
  8. Article
  9. Pharmacogenetics of Addiction Therapy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. The frequency ofAnnals of general psychiatry · 2018
    Article
  19. Article
  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

10 authors at 1 institution in 1 country.

Toni-Kim ClarkeCenter for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA. ctoni@mail.med.upenn.edu
Richard C Crist
Kyle M Kampman
Charles A Dackis
Helen M Pettinati
Charles P O'Brien
David W Oslin
Thomas N Ferraro
Falk W Lohoff
Wade H Berrettini
University of Pennsylvania · US

Funding

TREATMENT STRATEGIES FOR METHODONE NONRESPONDERSP60DA005186 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI O'BRIEN, CHARLES P · 1997 to 2012
$28.1M
Two Medications to Treat Cocaine and Alcohol DependenceP50DA012756 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KAMPMAN, KYLE MATTHEW · 1999 to 2013
$17.4M
TRAINING PROGRAM IN NEUROPSYCHOPHARMACOLOGY-PREDOCTORALT32MH014654 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BERRETTINI, WADE H · 1985 to 2021
$5.0M
Mu Opioid Receptor in AddictionP20DA025995 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI BERRETTINI, WADE H · 2008 to 2011
$3.4M
Clinical and Genetic Characteristics of Opioid Addiction in Chronic PainR01DA032776 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI CHEATLE, MARTIN D · 2012 to 2016
$2.9M
Genetics of Nicotine DependenceR01DA025201 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI BERRETTINI, WADE H · 2009 to 2013
$1.7M
VMAT1 in bipolar disorder and schizophreniaK08MH080372 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI LOHOFF, FALK W · 2008 to 2012
$949k
NIDA NIH HHS P20 DA025995NIDA NIH HHS P20DA025995NIDA NIH HHS P50 DA012756NIDA NIH HHS P60 DA005186NIDA NIH HHS P60 DA05186NIDA NIH HHS R01 DA025201NIDA NIH HHS R01DA025201NIDA NIH HHS R01 DA032776NIMH NIH HHS K08 MH080372NIMH NIH HHS K08MH080372NIMH NIH HHS T32 MH014654NIMH NIH HHS T32MH014654
6 · The paper itself

Abstract

The μ-opioid receptor (MOR) binds exogenous and endogenous opioids and is known to mediate the rewarding effects of drugs of abuse. Numerous genetic studies have sought to identify common genetic variation in the gene encoding MOR (OPRM1) that affects risk for drug addiction. The purpose of this study was to examine the contribution of rare coding variants in OPRM1 to the risk for addiction. Rare and low frequency variants were selected using the National Heart Lung and Blood Institute - Exome Sequencing Project (NHLBI-ESP) database, which has screened the exomes of over 6500 individuals. Two SNPs (rs62638690 and rs17174794) were selected for genotyping in 1377 European American individuals addicted to heroin and/or cocaine. Two different SNPs (rs1799971 and rs17174801) were genotyped in 1238 African American individuals addicted to heroin and/or cocaine. Using the minor allele frequencies from the NHLBI-ESP dataset as a comparison group, case-control association analyses were performed. Results revealed an association between rs62638690 and cocaine and heroin addiction in European Americans (p=0.02; 95% C.I. 0.47 [0.24-0.92]). This study suggests a potential role for rare OPRM1 variants in addiction disorders and highlights an area worthy of future study.

Indexed as

AdultBlack or African AmericanBlack PeopleCase-Control StudiesCocaine-Related DisordersCohort StudiesFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHeroin DependenceHumansMalePolymorphism, Single NucleotideReceptors, Opioid, muRiskWhite PeopleOPRM1 protein, humanReceptors, Opioid, mu

Identifiers

PMID23454283
PMCPMC3640707
OpenAlexW2053253618

What OpenQuestion holds

Textmetadata
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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.