Literature DB >> 17157823

Effect of mu-opioid receptor gene polymorphisms on heroin-induced subjective responses in a Chinese population.

Dandan Zhang1, Chunhong Shao, Minhua Shao, Pengrong Yan, Yi Wang, Yixiao Liu, Wenhong Liu, Tong Lin, Yuying Xie, Yingnan Zhao, Daru Lu, Yifeng Li, Li Jin.   

Abstract

BACKGROUND: Genetic factors that influence subjective responses to drug use (such as euphoria) contribute to the risk of addiction. mu-opioid receptor is the molecular target of heroin mediating its effects in both pain relief and euphoria.
METHODS: To evaluate the association of mu-opioid receptor gene (OPRM1) variants with heroin-induced positive responses on first use, we studied 336 Chinese Han heroin addicts recruited in Shanghai and divided heroin addicts into two groups (positive vs. negative) according to the self-reporting feeling on first use. Association analyses with the genotypes and alleles in nine tagging single nucleotide polymorphisms (tSNPs) in OPRM1 with subjective responses were performed. Similar analysis with haplotypes of these tSNPs was also performed.
RESULTS: Allele frequencies of three tSNPs were significantly different between the positive and negative groups. They were rs696522 (odds ratio [OR] = 3.06, p = .0013), rs1381376 (OR = 3.16, p = .0008), and rs3778151 (OR = 3.12, p = .0004). Such association remains after adjustment for demographic covariates and for multiple testing. The subjects with heroin-induced positive responses on first use consumed more drugs than the negative group (Mann-Whitney U = 224.0, Wilcoxon W = 16334.0, p <or= .0001).
CONCLUSIONS: Self-reported positive responses on first use of heroin were found to be associated with OPRM1. The findings suggest that heroin-induced positive responses are likely associated with more heroin consumption.

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Year:  2006        PMID: 17157823     DOI: 10.1016/j.biopsych.2006.07.012

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  30 in total

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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

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Authors:  Jermaine D Jones; Rachel R Luba; Jonathan L Vogelman; Sandra D Comer
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3.  Association of candidate genes with antisocial drug dependence in adolescents.

Authors:  Robin P Corley; Joanna S Zeiger; Thomas Crowley; Marissa A Ehringer; John K Hewitt; Christian J Hopfer; Jeffrey Lessem; Matthew B McQueen; Soo Hyun Rhee; Andrew Smolen; Michael C Stallings; Susan E Young; Kenneth Krauter
Journal:  Drug Alcohol Depend       Date:  2008-04-01       Impact factor: 4.492

Review 4.  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
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Review 6.  A review of pharmacogenetic studies of substance-related disorders.

Authors:  Jermaine D Jones; Sandra D Comer
Journal:  Drug Alcohol Depend       Date:  2015-03-18       Impact factor: 4.492

7.  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 8.  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

Review 9.  Personalized medicine and opioid analgesic prescribing for chronic pain: opportunities and challenges.

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10.  PCA-based bootstrap confidence interval tests for gene-disease association involving multiple SNPs.

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Journal:  BMC Genet       Date:  2010-01-26       Impact factor: 2.797

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