CYP2A6 polymorphism reveals differences in Japan and the existence of a specific variant in Ovambo and Turk populations

Genotyping, characterization, and imputation of known and novel CYP2A6 structural variants using SNP array data

CYP2A6 metabolically inactivates nicotine. Faster CYP2A6 activity is associated with heavier smoking and higher lung cancer risk. The CYP2A6 gene is polymorphic, including functional structural variants (SV) such as gene deletions (CYP2A6*4), duplications (CYP2A6*1 × 2), and hybrids with the CYP2A7 pseudogene (CYP2A6*12, CYP2A6*34). SVs are challenging to genotype due to their complex genetic architecture. Our aims were to develop a reliable protocol for SV genotyping, functionally phenotype known and novel SVs, and investigate the feasibility of CYP2A6 SV imputation from SNP array data in two ancestry populations. European- (EUR; n = 935) and African- (AFR; n = 964) ancestry individuals from smoking cessation trials were genotyped for SNPs using an Illumina array and for CYP2A6 SVs using Taqman copy number (CN) assays. SV-specific PCR amplification and Sanger sequencing was used to characterize a novel SV. Individuals with SVs were phenotyped using the nicotine metabolite ratio, a biomarker of CYP2A6 activity. SV diplotype and SNP array data were integrated and phased to generate ancestry-specific SV reference panels. Leave-one-out cross-validation was used to investigate the feasibility of CYP2A6 SV imputation. A minimal protocol requiring three Taqman CN assays for CYP2A6 SV genotyping was developed and known SV associations with activity were replicated. The first domain swap CYP2A6-CYP2A7 hybrid SV, CYP2A6*53, was identified, sequenced, and associated with lower CYP2A6 activity. In both EURs and AFRs, most SV alleles were identified using imputation (>70% and >60%, respectively); importantly, false positive rates were <1%. These results confirm that CYP2A6 SV imputation can identify most SV alleles, including a novel SV.

Distribution of polymorphic variants of CYP2A6 and their involvement in nicotine addiction

Tobacco consumption has become a major public health issue, which has motivated studies to identify and understand the biological processes involved in the smoking behavior for prevention and smoking cessation treatments. CYP2A6 has been identified as the main gene that codifies the enzyme that metabolizes nicotine. Many alleles have been identified after the discovery of CYP2A6, suggesting a wide interethnic variability and a diverse smoking behavior of the allele carrying individuals. The main purpose of this review is to update and highlight the effects of the CYP2A6 gene variability related to tobacco consumption reported from diverse human populations. The review further aims to consider CYP2A6 in future studies as a possible genetic marker for the prevention and treatment of nicotine addiction. Therefore, we analyzed several population studies and their importance at addressing and characterizing a population using specific parameters. Our efforts may contribute to a personalized system for detecting, preventing and treating populations at a higher risk of smoking to avoid diseases related to tobacco consumption.

Cytochrome P450 2A6 deletion polymorphism and risk of lung cancer: a meta-analysis

Previous studies concerning the association between cytochrome P450 2A6 (CYP2A6) deletion polymorphism and lung cancer risk provided controversial results. To clarify the precise association, a meta-analysis was performed. The electronic databases PubMed, Chinese Biomedical Database and Chinese National Knowledge Infrastructure Database were searched for case-control studies last updated on June 3, 2012 that investigated CYP2A6 deletion polymorphism and lung cancer risk. The odds ratio (OR) and its respective 95 % confidence interval (95 % CI) were used to measure the strength of association by means of a genetic model free approach. A total of 8 studies including 2,607 cases and 2,595 controls met the inclusion criteria and were subjected to the final analysis. The most appropriate co-dominant model was adopted. Overall, we found that CYP2A6 *1/*1 genotype was associated with an increased risk of lung cancer relative to *4/*4 genotype (OR = 2.65, 95 % CI: 1.84-3.81, P < 0.001). Significant association was also detected among Asians. Publication bias was absent in this meta-analysis. Therefore, our data suggested that the presence of the CYP2A6 *1/*1 might be associated with an increased lung cancer risk, especially for Asians. Further studies well-designed among different ethnicity populations are required.

Association between the rate of low-birth weight newborns and the incidence of end-stage renal disease in 47 prefectures in Japan

BACKGROUND

An ecological study is a useful epidemiologic tool for public health surveillance and establishment of a new hypothesis. Here, we used an ecological study to analyze the association between birth weight and end-stage renal disease (ESRD).

METHODS

We performed ecological regression analysis by using data obtained from the national database of Japan. The data include regional incidence of ESRD beginning maintenance dialysis therapy, regional rate of low-birth weight (LBW) newborn babies of all newborn babies, the average birth weight of newborns, the body mass index (BMI) score, the prevalence of diabetes mellitus, and the amount of payment for drugs, in the 47 prefectures of Japan.

RESULTS

The mean regional rates of LBW newborn babies from 1999 to 2008 statistically correlated with the mean incidences of ESRD during the same time periods in each prefecture. The correlation coefficients between the yearly rate of LBW newborns and the yearly incidence of ESRD in each prefecture became higher after statistically considering the effects of the cost per resident for prescriptions of angiotensin II receptor blocker and angiotensin converting enzyme inhibitor. Furthermore, the final model predicting the regional incidence of ESRD by a stepwise multiple regression analysis consisted of the average BMI score and the rate of LBW newborns in each prefecture.

CONCLUSION

Although this study cannot explain the reason for this unexpected correlation between the regional rate of LBW babies and the regional incidence of ESRD at the same time points, the statistically significant correlations shown in this study should be taken into consideration.