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Association of opioid receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) with nicotine dependence.


ABSTRACT: Whether opioid-receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) is associated with nicotine dependence is controversial. We analyzed the combined results from published studies of this possibility.Literature reviews were performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Web of Science, Chinese National Science Infrastructure (CNKI), PubMed, Embase and Google Scholar database searches using MeSH terms were conducted to find all relevant researches up to October 2016. Odds ratios (ORs) and their 95% confidence intervals (95% CIs) were calculated in allele, homozygote, heterozygote, dominant and recessive models. Ethnicity-specific subgroup meta-analysis, heterogeneity, sensitivity analysis and publication bias were considered.Seven eligible studies with 3313 patients were included. The ORs in the five genetic models mentioned above were 1.000 (95% CI: 0.906, 1.104; p = 0.999), 1.032 (95% CI: 0.771, 1.381; p = 0.834), 0.963 (95% CI: 0.799, 1.162; p = 0.696), 1.006 (95% CI: 0.916, 1.104; p = 0.907), 0.967 (95% CI: 0.715, 1.309; p = 0.830), respectively. Only in dominant model is the association significant. Upon ethnicity-specific subgroup analysis, there is no statistical significance.OPRM1-A118G polymorphism (A>G) is not associated with nicotine dependence.

SUBMITTER: Kong X 

PROVIDER: S-EPMC5663599 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Association of opioid receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) with nicotine dependence.

Kong Xiangyi X   Deng Hao H   Alston Theodore T   Kong Yanguo Y   Wang Jingping J  

Oncotarget 20170915 48


<h4>Background and object</h4>Whether opioid-receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) is associated with nicotine dependence is controversial. We analyzed the combined results from published studies of this possibility.<h4>Methods</h4>Literature reviews were performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Web of Science, Chinese National Science Infrastructure (CNKI), PubMed, Embase and Google Scholar database searches us  ...[more]

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