Evidence map›Paper›PMID 18195715›Full record

ArticleMolecular psychiatry2008

Genotype patterns that contribute to increased risk for or protection from developing heroin addiction.

D A Nielsen, F Ji, V Yuferov, A Ho, A Chen, O Levran, J Ott, M J Kreek

Abstract read
In one paragraph

Article in Molecular psychiatry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
13.7field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 102 citations in OpenAlex.

  1. Dopamine genes and nicotine dependence in treatment-seeking and community smokers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2009
    Trial
  2. Article
  3. Biochemical Diagnosis in Substance and Non-substance Addiction.Advances in experimental medicine and biology · 2025
    Review
  4. Article
  5. Article
  6. OPRM1 Gene Polymorphism in Women with Alcohol Use Disorder.International journal of molecular sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Pharmacogenetics of Addiction Therapy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Review
  14. Observational
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. A review of opioid addiction genetics.Current opinion in psychology · 2019
    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

8 authors at 1 institution in 2 countries.

D A NielsenLaboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY 10065, USA. nielsen@rockefeller.edu
F Ji
V Yuferov
A Ho
A Chen
O Levran
J Ott
M J Kreek
Rockefeller University · US

Funding

TRANSFORMING TRANSLATIONAL SCIENCE AND EDUCATION TO BENEFIT HUMAN HEALTHUL1RR024143 · NCRR · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2006 to 2011
$49.1M
ULTRASTUCTURE, RECEPTORS, AND GENE EXPRESSIONP60DA005130 · NIDA · ROCKEFELLER UNIVERSITY · PI KREEK, MARY J · 2002 to 2012
$30.6M
UNIQUE RNA STRUCTURE OF CAUSATIVE AGENT FOR DELTA HEPATITISP50DA005130 · NIDA · ROCKEFELLER UNIVERSITY · PI KREEK, MARY J · 1987 to 2001
$5.0M
Addictive Drugs-Pharmacology &PhysiologyK05DA000049 · NIDA · ROCKEFELLER UNIVERSITY · PI KREEK, MARY J · 1985 to 2007
$1.0M
NCRR NIH HHS UL1 RR024143NCRR NIH HHS UL1RR024143NIDA NIH HHS K05 DA000049NIDA NIH HHS P50 DA005130NIDA NIH HHS P60 DA005130PHS HHS K05-00049PHS HHS P60-05130PHS HHS R01-44292
6 · The paper itself

Abstract

A genome-wide association study was conducted using microarray technology to identify genes that may be associated with the vulnerability to develop heroin addiction, using DNA from 104 individual former severe heroin addicts (meeting Federal criteria for methadone maintenance) and 101 individual control subjects, all Caucasian. Using separate analyses for autosomal and X chromosomal variants, we found that the strongest associations of allele frequency with heroin addiction were with the autosomal variants rs965972, located in the Unigene cluster Hs.147755 (experiment-wise q=0.053), and rs1986513 (q=0.187). The three variants exhibiting the strongest association with heroin addiction by genotype frequency were rs1714984, located in an intron of the gene for the transcription factor myocardin (P=0.000022), rs965972 (P=0.000080) and rs1867898 (P=0.000284). One genotype pattern (AG-TT-GG) was found to be significantly associated with developing heroin addiction (odds ratio (OR)=6.25) and explained 27% of the population attributable risk for heroin addiction in this cohort. Another genotype pattern (GG-CT-GG) of these variants was found to be significantly associated with protection from developing heroin addiction (OR=0.13), and lacking this genotype pattern explained 83% of the population attributable risk for developing heroin addiction. Evidence was found for involvement of five genes in heroin addiction, the genes coding for the mu opioid receptor, the metabotropic receptors mGluR6 and mGluR8, nuclear receptor NR4A2 and cryptochrome 1 (photolyase-like). This approach has identified several new genes potentially associated with heroin addiction and has confirmed the role of OPRM1 in this disease.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationChromosomes, Human, XCryptochromesDNA-Binding ProteinsFemaleFlavoproteinsGene FrequencyGenetic TestingGenotypeHeroin DependenceHumansLinkage DisequilibriumMaleMyocardinNuclear ProteinsCryptochromesDNA-Binding ProteinsFlavoproteinsmetabotropic glutamate receptor 6metabotropic glutamate receptor 8MyocardinNR4A2 protein, humanNuclear ProteinsNuclear Receptor Subfamily 4, Group A, Member 2OPRM1 protein, humanReceptors, Metabotropic GlutamateReceptors, Opioid, muTrans-ActivatorsTranscription Factors

Identifiers

PMID18195715
PMCPMC3810149
OpenAlexW2018250621

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.