Literature DB >> 17416470

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

Stephen J Glatt1, 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.   

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.

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Year:  2007        PMID: 17416470      PMCID: PMC2012941          DOI: 10.1016/j.drugalcdep.2007.02.022

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  41 in total

1.  Genetics of two mu opioid receptor gene (OPRM1) exon I polymorphisms: population studies, and allele frequencies in alcohol- and drug-dependent subjects.

Authors:  J Gelernter; H Kranzler; J Cubells
Journal:  Mol Psychiatry       Date:  1999-09       Impact factor: 15.992

2.  PBAT: tools for family-based association studies.

Authors:  Christoph Lange; Dawn DeMeo; Edwin K Silverman; Scott T Weiss; Nan M Laird
Journal:  Am J Hum Genet       Date:  2004-02       Impact factor: 11.025

3.  On estimating the relation between blood group and disease.

Authors:  B WOOLF
Journal:  Ann Hum Genet       Date:  1955-06       Impact factor: 1.670

4.  Mu opioid receptor A118G polymorphism in association with striatal opioid neuropeptide gene expression in heroin abusers.

Authors:  Katarina Drakenberg; Andrej Nikoshkov; Monika Cs Horváth; Pernilla Fagergren; Anna Gharibyan; Kati Saarelainen; Sadia Rahman; Ingrid Nylander; Georgy Bakalkin; Jovan Rajs; Eva Keller; Yasmin L Hurd
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-08       Impact factor: 11.205

5.  Genetic and environmental influences on drug use and abuse/dependence in male and female twins.

Authors:  M B van den Bree; E O Johnson; M C Neale; R W Pickens
Journal:  Drug Alcohol Depend       Date:  1998-11-01       Impact factor: 4.492

6.  Association analysis of polymorphisms in the μ opioid gene and heroin abuse in Chinese subjects.

Authors:  T Li; X Liu; Z H Zhu; J Zhao; X Hu; P C Sham; D A Collier
Journal:  Addict Biol       Date:  2000-04-01       Impact factor: 4.280

7.  Illicit psychoactive substance use, heavy use, abuse, and dependence in a US population-based sample of male twins.

Authors:  K S Kendler; L M Karkowski; M C Neale; C A Prescott
Journal:  Arch Gen Psychiatry       Date:  2000-03

8.  Association between mu opioid receptor gene polymorphisms and Chinese heroin addicts.

Authors:  C Y Szeto; N L Tang; D T Lee; A Stadlin
Journal:  Neuroreport       Date:  2001-05-08       Impact factor: 1.837

9.  Single-nucleotide polymorphism in the human mu opioid receptor gene alters beta-endorphin binding and activity: possible implications for opiate addiction.

Authors:  C Bond; K S LaForge; M Tian; D Melia; S Zhang; L Borg; J Gong; J Schluger; J A Strong; S M Leal; J A Tischfield; M J Kreek; L Yu
Journal:  Proc Natl Acad Sci U S A       Date:  1998-08-04       Impact factor: 11.205

10.  [Validation of the Diagnostic Interview for Genetic Studies (DIGS) in Colombia].

Authors:  Carlos Alberto Palacio; Jenny García; María Patricia Arbeláez; Ricardo Sánchez; Beatriz Aguirre; Isabel Cristina Garcés; Gabriel Jaime Montoya; Juliana Gómez; Angela Agudelo; Carlos Alberto López; Jorge Julián Calle; Carlos Alberto Cardeño; Juan Fernando Cano; María Cecilia López; Patricia Montoya; Claudia Patricia Herrera; Natalia González; Alejandro González; Gabriel Bedoya; Andrés Ruiz; Jorge Ospina
Journal:  Biomedica       Date:  2004-03       Impact factor: 0.935

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  28 in total

1.  No evidence of association between 118A>G OPRM1 polymorphism and heroin dependence in a large Bulgarian case-control sample.

Authors:  Momchil A Nikolov; Olga Beltcheva; Antoaneta Galabova; Anna Ljubenova; Elena Jankova; Galin Gergov; Atanas A Russev; Michael T Lynskey; Elliot C Nelson; Eleonora Nesheva; Dorita Krasteva; Philip Lazarov; Vanio I Mitev; Ivo M Kremensky; Radka P Kaneva; Alexandre A Todorov
Journal:  Drug Alcohol Depend       Date:  2011-01-31       Impact factor: 4.492

Review 2.  Candidate gene polymorphisms predicting individual sensitivity to opioids.

Authors:  Shinya Kasai; Masakazu Hayashida; Ichiro Sora; Kazutaka Ikeda
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2007-11-13       Impact factor: 3.000

3.  Genome-wide linkage analysis of heroin dependence in Han Chinese: results from Wave Two of a multi-stage study.

Authors:  Stephen J Glatt; Jessica A Lasky-Su; Shao C Zhu; Ruimin Zhang; Bo Zhang; Jixiang Li; Xiaobo Yuan; Jianhua Li; Michael J Lyons; Stephen V Faraone; Ming T Tsuang
Journal:  Drug Alcohol Depend       Date:  2008-06-06       Impact factor: 4.492

Review 4.  Pharmacogenetics of OPRM1.

Authors:  Richard C Crist; Wade H Berrettini
Journal:  Pharmacol Biochem Behav       Date:  2013-11-05       Impact factor: 3.533

Review 5.  Search for genetic markers and functional variants involved in the development of opiate and cocaine addiction and treatment.

Authors:  Vadim Yuferov; Orna Levran; Dmitri Proudnikov; David A Nielsen; Mary Jeanne Kreek
Journal:  Ann N Y Acad Sci       Date:  2010-02       Impact factor: 5.691

6.  Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts.

Authors:  Tae-Hwi Schwantes-An; Juan Zhang; Li-Shiun Chen; Sarah M Hartz; Robert C Culverhouse; Xiangning Chen; Hilary Coon; Josef Frank; Helen M Kamens; Bettina Konte; Leena Kovanen; Antti Latvala; Lisa N Legrand; Brion S Maher; Whitney E Melroy; Elliot C Nelson; Mark W Reid; Jason D Robinson; Pei-Hong Shen; Bao-Zhu Yang; Judy A Andrews; Paul Aveyard; Olga Beltcheva; Sandra A Brown; Dale S Cannon; Sven Cichon; Robin P Corley; Norbert Dahmen; Louisa Degenhardt; Tatiana Foroud; Wolfgang Gaebel; Ina Giegling; Stephen J Glatt; Richard A Grucza; Jill Hardin; Annette M Hartmann; Andrew C Heath; Stefan Herms; Colin A Hodgkinson; Per Hoffmann; Hyman Hops; David Huizinga; Marcus Ising; Eric O Johnson; Elaine Johnstone; Radka P Kaneva; Kenneth S Kendler; Falk Kiefer; Henry R Kranzler; Ken S Krauter; Orna Levran; Susanne Lucae; Michael T Lynskey; Wolfgang Maier; Karl Mann; Nicholas G Martin; Manuel Mattheisen; Grant W Montgomery; Bertram Müller-Myhsok; Michael F Murphy; Michael C Neale; Momchil A Nikolov; Denise Nishita; Markus M Nöthen; John Nurnberger; Timo Partonen; Michele L Pergadia; Maureen Reynolds; Monika Ridinger; Richard J Rose; Noora Rouvinen-Lagerström; Norbert Scherbaum; Christine Schmäl; Michael Soyka; Michael C Stallings; Michael Steffens; Jens Treutlein; Ming Tsuang; Tamara L Wall; Norbert Wodarz; Vadim Yuferov; Peter Zill; Andrew W Bergen; Jingchun Chen; Paul M Cinciripini; Howard J Edenberg; Marissa A Ehringer; Robert E Ferrell; Joel Gelernter; David Goldman; John K Hewitt; Christian J Hopfer; William G Iacono; Jaakko Kaprio; Mary Jeanne Kreek; Ivo M Kremensky; Pamela A F Madden; Matt McGue; Marcus R Munafò; Robert A Philibert; Marcella Rietschel; Alec Roy; Dan Rujescu; Sirkku T Saarikoski; Gary E Swan; Alexandre A Todorov; Michael M Vanyukov; Robert B Weiss; Laura J Bierut; Nancy L Saccone
Journal:  Behav Genet       Date:  2015-09-21       Impact factor: 2.805

7.  Cis-Expression Quantitative Trait Loci Mapping Reveals Replicable Associations with Heroin Addiction in OPRM1.

Authors:  Dana B Hancock; Joshua L Levy; Nathan C Gaddis; Cristie Glasheen; Nancy L Saccone; Grier P Page; Gary K Hulse; Dieter Wildenauer; Erin A Kelty; Sibylle G Schwab; Louisa Degenhardt; Nicholas G Martin; Grant W Montgomery; John Attia; Elizabeth G Holliday; Mark McEvoy; Rodney J Scott; Laura J Bierut; Elliot C Nelson; Alex H Kral; Eric O Johnson
Journal:  Biol Psychiatry       Date:  2015-01-29       Impact factor: 13.382

Review 8.  Opiate addiction and cocaine addiction: underlying molecular neurobiology and genetics.

Authors:  Mary Jeanne Kreek; Orna Levran; Brian Reed; Stefan D Schlussman; Yan Zhou; Eduardo R Butelman
Journal:  J Clin Invest       Date:  2012-10-01       Impact factor: 14.808

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

Authors:  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
Journal:  Neurosci Lett       Date:  2013-02-20       Impact factor: 3.046

Review 10.  OPRM1 SNP (A118G): involvement in disease development, treatment response, and animal models.

Authors:  Stephen D Mague; Julie A Blendy
Journal:  Drug Alcohol Depend       Date:  2010-01-13       Impact factor: 4.492

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