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Association between Common Genetic Variants in the Opioid Pathway and Smoking Behaviors in Chinese Men

BACKGROUND: There is biological evidence that the brain opioidergic system plays a critical role in the addictive properties of nicotine. The purpose of the present study was to examine the associations of single nucleotide polymorphisms (SNPs) in the genes encoding mu-opioid receptor (MOR) and the...

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Autores principales: Fang, Juan, Wang, Xiaohong, He, Bei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3899627/
https://www.ncbi.nlm.nih.gov/pubmed/24447405
http://dx.doi.org/10.1186/1744-9081-10-2
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author Fang, Juan
Wang, Xiaohong
He, Bei
author_facet Fang, Juan
Wang, Xiaohong
He, Bei
author_sort Fang, Juan
collection PubMed
description BACKGROUND: There is biological evidence that the brain opioidergic system plays a critical role in the addictive properties of nicotine. The purpose of the present study was to examine the associations of single nucleotide polymorphisms (SNPs) in the genes encoding mu-opioid receptor (MOR) and the MOR-interacting proteins (including OPRM1, ARRB2, and HINT1) with smoking behaviors in Chinese men. METHODS: A total of 284 subjects (including current and ex-smokers) were recruited. Special questionnaires were used to assess smoking behaviors including age of smoking initiation, daily cigarette consumption, and Fagerström test for nicotine dependence (FTND) score. Participant samples were genotyped for six SNPs in the opioid pathway genes: rs1799971 in OPRM1, rs1045280, rs2036657 and rs3786047 in ARRB2, rs3852209 and rs2278060 in HINT1. Linear and logistic regression models were used to determine single-locus and haplotype-based association analyses. RESULTS: There was no significant association between any of SNPs analyzed and smoking behaviors. Logistic regression analyses under dominant, recessive, and additive models showed no significant associations of the six SNPs with smoking status (current vs. ex-smokers). After adjustment for age at enrollment and smoking initiation age, HINT1 rs3852209 was significantly associated with smoking status with an OR of 0.54 (95% CI, 0.31-0.95; P = 0.03) under dominant inheritance model. No haplotypes in ARRB2 or HINT1 were related to smoking status. CONCLUSIONS: The present study indicates no significant association between common genetic variations in MOR and MOR-interacting proteins and smoking behaviors in Chinese men, and gives suggestive evidence that HINT1 rs3852209 may be related to smoking status. The findings require confirmation from further studies in additional larger samples.
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spelling pubmed-38996272014-01-24 Association between Common Genetic Variants in the Opioid Pathway and Smoking Behaviors in Chinese Men Fang, Juan Wang, Xiaohong He, Bei Behav Brain Funct Research BACKGROUND: There is biological evidence that the brain opioidergic system plays a critical role in the addictive properties of nicotine. The purpose of the present study was to examine the associations of single nucleotide polymorphisms (SNPs) in the genes encoding mu-opioid receptor (MOR) and the MOR-interacting proteins (including OPRM1, ARRB2, and HINT1) with smoking behaviors in Chinese men. METHODS: A total of 284 subjects (including current and ex-smokers) were recruited. Special questionnaires were used to assess smoking behaviors including age of smoking initiation, daily cigarette consumption, and Fagerström test for nicotine dependence (FTND) score. Participant samples were genotyped for six SNPs in the opioid pathway genes: rs1799971 in OPRM1, rs1045280, rs2036657 and rs3786047 in ARRB2, rs3852209 and rs2278060 in HINT1. Linear and logistic regression models were used to determine single-locus and haplotype-based association analyses. RESULTS: There was no significant association between any of SNPs analyzed and smoking behaviors. Logistic regression analyses under dominant, recessive, and additive models showed no significant associations of the six SNPs with smoking status (current vs. ex-smokers). After adjustment for age at enrollment and smoking initiation age, HINT1 rs3852209 was significantly associated with smoking status with an OR of 0.54 (95% CI, 0.31-0.95; P = 0.03) under dominant inheritance model. No haplotypes in ARRB2 or HINT1 were related to smoking status. CONCLUSIONS: The present study indicates no significant association between common genetic variations in MOR and MOR-interacting proteins and smoking behaviors in Chinese men, and gives suggestive evidence that HINT1 rs3852209 may be related to smoking status. The findings require confirmation from further studies in additional larger samples. BioMed Central 2014-01-21 /pmc/articles/PMC3899627/ /pubmed/24447405 http://dx.doi.org/10.1186/1744-9081-10-2 Text en Copyright © 2014 Fang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Fang, Juan
Wang, Xiaohong
He, Bei
Association between Common Genetic Variants in the Opioid Pathway and Smoking Behaviors in Chinese Men
title Association between Common Genetic Variants in the Opioid Pathway and Smoking Behaviors in Chinese Men
title_full Association between Common Genetic Variants in the Opioid Pathway and Smoking Behaviors in Chinese Men
title_fullStr Association between Common Genetic Variants in the Opioid Pathway and Smoking Behaviors in Chinese Men
title_full_unstemmed Association between Common Genetic Variants in the Opioid Pathway and Smoking Behaviors in Chinese Men
title_short Association between Common Genetic Variants in the Opioid Pathway and Smoking Behaviors in Chinese Men
title_sort association between common genetic variants in the opioid pathway and smoking behaviors in chinese men
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3899627/
https://www.ncbi.nlm.nih.gov/pubmed/24447405
http://dx.doi.org/10.1186/1744-9081-10-2
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