Literature DB >> 20575833

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

T Li1, X Liu, Z H Zhu, J Zhao, X Hu, P C Sham, D A Collier.   

Abstract

We examined four polymorphisms in the μ opioid receptor gene in 282 Chinese heroin addicts from Sichuan Province, Southwest China and compared the allele and genotype frequencies to those in 258 normal controls from the same geographic region. Two of these polymorphisms (Ala6Val and Ser147Cys) were not polymorphic in the Chinese, with only Ala6 and Ser147 observed. The frequencies of the two other polymorphisms were significantly different from those observed in Caucasians, African Americans and Native Americans. The Asn40Asp and IVS2 + 691G/C polymorphisms did not differ significantly for allele (p= 0.16; p = 0.21), genotype (p= 0.32; p = 0.09) or haplotype frequencies (p= 0.24) between the Chinese heroin-addicted cases and normal controls. Similarly, we did not detect any association when the population was stratified by gender, route of administration (nasal inhalation and/or injection) and age-at-onset (above or below 25 years). This indicates that the μ opioid receptor is not likely to be a major genetic risk factor for heroin abuse in this population.

Entities:  

Year:  2000        PMID: 20575833     DOI: 10.1080/13556210050003775

Source DB:  PubMed          Journal:  Addict Biol        ISSN: 1355-6215            Impact factor:   4.280


  8 in total

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

Authors:  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; Jixiang Li; Michael J Lyons; Stephen V Faraone; Ming T Tsuang
Journal:  Drug Alcohol Depend       Date:  2007-04-09       Impact factor: 4.492

Review 2.  Genetic predictors of the clinical response to opioid analgesics: clinical utility and future perspectives.

Authors:  Jörn Lötsch; Carsten Skarke; Jürgen Liefhold; Gerd Geisslinger
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

Review 3.  Genes associated with addiction: alcoholism, opiate, and cocaine addiction.

Authors:  Mary Jeanne Kreek; David A Nielsen; K Steven LaForge
Journal:  Neuromolecular Med       Date:  2004       Impact factor: 3.843

Review 4.  Implications of genome wide association studies for addiction: are our a priori assumptions all wrong?

Authors:  F Scott Hall; Jana Drgonova; Siddharth Jain; George R Uhl
Journal:  Pharmacol Ther       Date:  2013-07-18       Impact factor: 12.310

5.  Genome-Wide Association of Heroin Dependence in Han Chinese.

Authors:  Gursharan Kalsi; Jack Euesden; Jonathan R I Coleman; Francesca Ducci; Fazil Aliev; Stephen J Newhouse; Xiehe Liu; Xiaohong Ma; Yingcheng Wang; David A Collier; Philip Asherson; Tao Li; Gerome Breen
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

6.  Lack of association between the A118G polymorphism of the mu opioid receptor gene (OPRM1) and opioid dependence: A meta-analysis.

Authors:  Janet K Coller; Julia Beardsley; James Bignold; Yibai Li; Florence Merg; Thomas Sullivan; Timothy C Cox; Andrew A Somogyi
Journal:  Pharmgenomics Pers Med       Date:  2009-03-20

Review 7.  Advances in genetic studies of substance abuse in China.

Authors:  Yan Sun; Shiqiu Meng; Jiali Li; Jie Shi; Lin Lu
Journal:  Shanghai Arch Psychiatry       Date:  2013-08

Review 8.  Molecular Imaging of Opioid and Dopamine Systems: Insights Into the Pharmacogenetics of Opioid Use Disorders.

Authors:  Jamie A Burns; Danielle S Kroll; Dana E Feldman; Christopher Kure Liu; Peter Manza; Corinde E Wiers; Nora D Volkow; Gene-Jack Wang
Journal:  Front Psychiatry       Date:  2019-09-18       Impact factor: 4.157

  8 in total

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