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- Title
Associations of CYP2A6 genotype with smoking behaviors in southern China.
- Authors
Liu, Tao; David, Sean P.; Tyndale, Rachel F.; Wang, Hui; Zhou, Qian; Ding, Peng; He, Yan‐Hui; Yu, Xue‐Qing; Chen, Wei; Crump, Casey; Wen, Xiao‐Zhong; Chen, Wei‐Qing
- Abstract
To investigate the association of CYP2A6 genetic polymorphisms with smoking-related phenotypes in Chinese smokers. Case-only genetic association study. Southern China. A total of 1328 Han Chinese smokers who participated in a community-based chronic disease screening project in Guangzhou and Zhuhai from 2006 to 2007. All participants answered a structured questionnaire about socio-demographic status and smoking behaviors and informative alleles were genotyped for the cytochrome P450 2A6 ( CYP2A6) gene ( CYP2A6* 4,* 5,* 7,* 9 and * 10). The frequencies of CYP2A6* 4, * 5, * 7, * 9 and * 10 alleles were 8.5, 1.2, 6.3, 13.5 and 2.4%, which corresponded to 48.9, 15.4, 24.2 and 11.5% of participants being classified as normal, intermediate, slow and poor metabolizers, respectively. Multivariate analyses in male smokers demonstrated that compared with normal metabolizers, poor metabolizers reported smoking fewer cigarettes per day [adjusted odds ratio (OR) = 0.49; 95% confidence interval (CI): 0.32-0.76], started smoking regularly later in life (adjusted OR = 1.55; 95% CI: 1.06-2.26) and, among former smokers, reported smoking for a shorter duration prior to quitting (adjusted OR = 0.33; 95% CI: 0.12-0.94). However, poor metabolizers were less likely to quit smoking and remain abstinent than normal metabolizers (adjusted OR = 0.54; 95% CI: 0.34-0.86). Reduced metabolism function of cytochrome P450 2A6 in smokers appears to be associated with fewer cigarettes smoked, later initiation of smoking regularly, shorter smoking duration and lower likelihood of smoking cessation.
- Subjects
CHINA; COMPUTER software; CONFIDENCE intervals; EPIDEMIOLOGY; ETHNIC groups; GENES; INTERVIEWING; METABOLISM; POLYMERASE chain reaction; SMOKING; STATISTICS; LOGISTIC regression analysis; DATA analysis
- Publication
Addiction, 2011, Vol 106, Issue 5, p985
- ISSN
0965-2140
- Publication type
Article
- DOI
10.1111/j.1360-0443.2010.03353.x