1.Interaction between familial cancer history and smoking on the risk of lung cancer in a Chinese population.
Guang-fu JIN ; Zhi-bin HU ; Hong-xia MA ; Xiang HUO ; Wen-sen CHEN ; Feng CHEN ; Yao-chu XU ; Hong-bing SHEN
Chinese Journal of Epidemiology 2006;27(12):1095-1096
China
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epidemiology
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Humans
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Lung Neoplasms
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epidemiology
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genetics
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Risk
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Smoking
2.Correlation of prostate cancer susceptibility with genetic polymorphism of cytochrome P450 2E1, smoking and drinking: a case-control study in the population of Nanjing area.
Jie YANG ; Min GU ; Ning-Hong SONG ; Ning-Han FENG ; Li-Xin HUA ; Xiao-Bing JU ; Yuan-Geng SUI ; Xin-Ru WANG ; Hong-Fei WU
National Journal of Andrology 2009;15(1):7-11
OBJECTIVETo investigate the association of the risk of prostate cancer (PCa) with the polymorphism of the CYP2E1 gene, smoking and drinking, and to explore the joint role of genes and living habits in PCa pathogenesis.
METHODSWe conducted a case-control study on 109 PCa patients and 202 age-matched non-PCa male controls, and detected the polymorphisms of CYP2E1 Rsa I and Pst I sites by PCR-RFLP using DNA from peripheral blood lymphocytes.
RESULTSThe history of deep smoking (OR = 2.29, 95% CI: 1.28 - 4.09) or heavy smoking (OR = 1.81, 95% CI: 1.02 - 3.22) was a risk factor. The CYP2E1 C1/C1 genotype significantly increased the risk of PCa (OR = 1.71, 95% CI: 1.04 - 2.82) and apparently interacted with drinking (OR = 2.21, 95% CI: 1.06 - 4.59). Heavy smokers with the C1/C1 genotype showed an increased risk of PCa (OR = 2.80, 95% CI: 1.20 - 6.56), as compared with non-smokers carrying the genotype of C1/C2 or C2/C2.
CONCLUSIONThe risk of PCa obviously increases in individuals with both the CYP2E1 C1/C1 genotype and the habit of smoking or drinking, and it has a significant positive correlation with the dose of tobacco exposure.
Aged ; Alcohol Drinking ; epidemiology ; genetics ; Case-Control Studies ; China ; epidemiology ; Cytochrome P-450 CYP2E1 ; genetics ; Genetic Predisposition to Disease ; Humans ; Male ; Middle Aged ; Polymorphism, Genetic ; Prostatic Neoplasms ; epidemiology ; genetics ; Smoking ; epidemiology ; genetics
3.Advances in researches on genetic epidemiology of pancreatic cancer.
Acta Academiae Medicinae Sinicae 2006;28(2):289-293
Pancreatic cancer is an extremely life-threatening neoplasm with a case-fatality rate approaching 100%. Smoking is the major known risk factor for this cancer, explaining 19% of all cases. The nutrition and food consumption patterns play other important roles in the etiology of pancreatic cancer, explaining 35% of all cases. Epidemiological evidences on the relationship between nutrition and pancreatic cancer found consistently positive associations between the intakes of meat, carbohydrates, and dietary cholesterol and pancreatic cancer. Consistent inverse relationships with fruit and vegetable intakes and, in particular, with fiber and vitamin C, have also been noted. Many inherited germline mutations increase the risk of pancreatic cancer. In addition, several common polymorphisms in genes that associated with metabolism of environmental carcinogens, DNA repair and folate metabolism may alter the risk of pancreatic cancer. Interaction between genes and environmental factors may contribute to the risk of pancreatic cancer.
Diet
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Genetic Predisposition to Disease
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genetics
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Humans
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Occupational Exposure
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Pancreatic Neoplasms
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epidemiology
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genetics
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prevention & control
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Polymorphism, Genetic
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Risk Factors
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Smoking
4.Social Determinants of Smoking Behavior: The Healthy Twin Study, Korea.
Youn Sik KIM ; Hansoo KO ; Changgyo YOON ; Dong Hun LEE ; Joohon SUNG
Journal of Preventive Medicine and Public Health 2012;45(1):29-36
OBJECTIVES: The purpose of this study was to identify any influence of socioeconomic status on smoking and smoking cessation in a situation where genetic factors are controlled. METHODS: The sample for this study was 2502 members of the twins and families cohort who participated in the Korean Healthy Twins Study from 2005 to 2009. Groups of brothers or sisters, including twins and fraternal twins, were compared in terms of smoking and smoking cessation behaviors according to differences in socioeconomic status and gender. RESULTS: In a situation with complete control of genetic factors, results showed that the daily smoking amount, cumulative smoking amount, and dependence on nicotine decreased with higher-status occupations, and the rate of smoking and amount of cumulative smoking decreased with higher levels of education. Regarding smoking cessation behavior, a higher level of education was associated with a lower smoking cessation rate, and no significant gender differences were found. CONCLUSIONS: Environmental factors had a stronger influence on smoking behavior than did genetic factors. Genetic factors had greater influence on smoking cessation than did environmental factors; however, this requires verification in further studies.
Adult
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Female
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Genetic Predisposition to Disease
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Health Behavior
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Humans
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Korea
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Male
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Sex Factors
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Smoking/*epidemiology/genetics
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*Smoking Cessation
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*Social Class
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*Social Environment
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Socioeconomic Factors
5.The control study on risk factors of high-risk population in diabetes.
Ji PENG ; Jing-Fan XIONG ; Hua ZHOU ; Jin-Quan CHENG ; Dan ZHANG ; Lü-Yuan SHI
Chinese Journal of Epidemiology 2004;25(6):506-508
OBJECTIVETo examine the significance of individual risk on diabetes to subjects who underwent diabetes screening.
METHODS2003 asymptomatic diabetes subjects with high-risk factors of diabetes as family history, obesity, hypertension, and/or dyslipidemia, fetal giant history were screened. 5362 subjects having no risk factors but from the same community were allocated as controls.
RESULTSThere were 131 (6.54%) diabetes identified in the screening group and 1547 (77.23%) subjects having 1 risk factor, 387 (19.27%) having 2 risk factors, 70 (3.49%) having 3 or more risk factors. There were 96 (1.79%) diabetes identified in the control group. Compared with control group, the OR (95% CI) value was 2.68 (2.20-3.25) after adjusted on age among the high risk group. The OR value of those having 1 risk factor was 2.89, but these having 3 or more risk factors increased to 4.68.
CONCLUSIONThe relation between the risk of high-risk group with diabetes and the number of risk factors of diabetes presented positive correlation. Early and regular screening for diabetes was essential in these individuals with high-risk factors.
Adult ; Aged ; China ; epidemiology ; Diabetes Mellitus, Type 2 ; epidemiology ; etiology ; genetics ; Family Health ; Female ; Glucose Tolerance Test ; Humans ; Hyperlipidemias ; epidemiology ; Hypertension ; epidemiology ; Male ; Mass Screening ; Middle Aged ; Obesity ; epidemiology ; Odds Ratio ; Prevalence ; Risk Factors ; Smoking
6.Impact of Glutathione S-Transferase M1 and T1 Gene Polymorphisms on the Smoking-Related Coronary Artery Disease.
Soo Joong KIM ; Myeong Gon KIM ; Kwon Sam KIM ; Jung Sang SONG ; Sung Vin YIM ; Joo Ho CHUNG
Journal of Korean Medical Science 2008;23(3):365-372
Glutathione S-transferase (GST) plays a key role in the detoxification of xenobiotic atherogen generated by smoking. To analyze the effect of GSTM1/T1 gene polymorphisms on the development of smoking-related coronary artery disease (CAD), 775 Korean patients who underwent coronary angiography were enrolled. The subjects were classified by luminal diameter stenosis into group A (>50%), B (20-50%), or C (<20%). GSTM1 and GSTT1 gene polymorphisms were analyzed using multiplex polymerase chain reaction (PCR) for GSTM1/T1 genes and CYP1A1 gene for internal control. Of 775 subjects, 403 patients belonged to group A. They had higher risk factors for CAD than group B (N=260) and group C (N=112). The genotype frequencies of null GSTM1 and GSTT1 showed no significant differences among 3 groups. Considering the effect of GSTM1 gene polymorphisms on the smoking-related CAD, smokers with GSTM1 null genotype had more increased risk for CAD than non-smoker with GSTM1 positive genotype (odds ratios [OR], 2.07, confidence interval [CI], 1.06-4.07). Also the effect of GSTT1 gene polymorphism on smoking-related CAD showed the same tendency as GSTM1 gene (OR, 2.00, CI, 1.05-3.84). This effect of GSTM1/T1 null genotype on smoking-related CAD was augmented when both gene polymorphisms were considered simultaneously (OR, 2.76, CI, 1.17-6.52). We concluded that GSTM1/T1 null genotype contributed to the pathogenesis of smoking-related CAD to some degree.
Aged
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Coronary Angiography
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Coronary Artery Disease/epidemiology/*genetics/radiography
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Female
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Genetic Predisposition to Disease/epidemiology
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Genotype
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Glutathione Transferase/*genetics
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Humans
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Male
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Middle Aged
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*Polymorphism, Genetic
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Risk Factors
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Severity of Illness Index
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Smoking/epidemiology/*genetics
7.Population-attributable risk estimates for breast cancer in Chinese females.
Xiao-feng HU ; Yong JIANG ; Chen-xu QU ; Jian-bing WANG ; Wan-qing CHEN ; Hui LI ; You-lin QIAO
Chinese Journal of Oncology 2013;35(10):796-800
OBJECTIVETo estimate the contribution of known identified risk factors to breast cancer incidence and mortality in China, and provide evidence to support the prevention and control of breast cancer for Chinese females.
METHODSWe calculated the proportion of breast cancer attributable to specific risk factors. Data on exposure prevalence were obtained from Meta-analyses and large-scale national surveys of representative samples of the Chinese population. Data on relative risks were obtained from Meta-analyses and large-scale prospective studies. Cancer mortality and incidence were taken from the Third National Death Survey and from cancer registries in China.
RESULTSThe first 5 risk factors of breast cancer in China were benign breast disease (RR = 2.62), family history of breast cancer (RR = 2.39), smoking (RR = 1.86), overweight (RR = 1.60) and age at menarche (RR = 1.54). The proportion of breast cancer deaths attributable to reproductive factors, lifestyle factors, benign breast disease, the use of external hormone and family history of breast cancer was 27.84%, 23.55%, 15.09%, 3.60% and 2.49%, respectively. The total population attributable fraction (PAF) was 55.95% for risk factors in our study. Overall, we estimated that 79 862 breast cancer cases and 22 456 deaths were attributed to the five risk factors in China in 2005.
CONCLUSIONSThe prevention and control of unhealthy lifestyle factors may significantly reduce the number and death of breast cancer in China.
Breast Diseases ; complications ; Breast Neoplasms ; epidemiology ; etiology ; genetics ; China ; epidemiology ; Female ; Genetic Predisposition to Disease ; Humans ; Menarche ; Meta-Analysis as Topic ; Overweight ; complications ; Risk Factors ; Smoking ; adverse effects
8.The interaction between microsomal epoxide hydrolase polymorphisms and indoor pollution in non small cell lung cancer.
Xi-Wen SUN ; Yu-Yan MA ; Bo WANG
Chinese Journal of Preventive Medicine 2007;41 Suppl():30-34
OBJECTIVETo determine the interaction between indoor air pollution and mEH gene polymorphisms.
METHODSBlood samples from 222 non small cell lung cancer patients and 222 healthy people were characterized by PCR and PCR-RFLP methods. The interaction coefficients were determined through unconditional logistic regression model.
RESULTSSignificant differences in the positive rate of mEH-exon3 mutant and the heterozygote were found between case and control groups (chi(2) = 7.046, P = 0.030). But no significant difference was found in mEH-exon4 non-wild-type between groups (chi(2) = 2.674, P = 0.263). mEH-exon3 mutant (OR = 1.99; 95% CI = 1.21, 3.25) could significantly increase the risk of lung cancer. After adjusted by confounding variables, significant interactions were found between the use of coal-wall stove and the non-wild type mEH gene. The interaction coefficients were increased with the duration of exposure and quantity of coal consumed. The super multiplication models were established between non-wild type mEH gene and the exposure to soot or oil fume during cooking. The interaction coefficients were 2.75 and 7.34 respectively for exon3 and exon4. No interaction was found between non-wild type mEH gene and irritation of eye or throat during cooking.
CONCLUSIONThrough the molecular epidemiological techniques, we confirmed indoor air pollution that caused by coal burning was a noticeable lung cancer risk factor. The interaction between the polymorphisms of mEH gene and the indoor air pollution plays an important role in the carcinogenesis of lung.
Adult ; Aged ; Air Pollution, Indoor ; Carcinoma, Non-Small-Cell Lung ; epidemiology ; genetics ; China ; epidemiology ; Epoxide Hydrolases ; genetics ; Exons ; Female ; Humans ; Lung Neoplasms ; epidemiology ; Male ; Middle Aged ; Polymorphism, Genetic ; Smoking
9.Association between type 2 diabetes in Uygur and polymorphisms of SLC30A8 and its interaction with smoking.
Yinxia SU ; Zhiqiang WANG ; Hua YAO ; Email: YAOHUA01@SINA.COM. ; Tingting WANG ; Qi MA ; Jun ZHU ; Shuxia WANG ; Yan MA
Chinese Journal of Epidemiology 2015;36(10):1167-1171
OBJECTIVETo explore the relationship between the polymorphism of solute carrier family 30, member 8 (SLC30A8) gene and type 2 diabetes mellitus (T2DM) in Uyhgur in Xinjiang and further analyze the interaction between SLC30A8 gene polymorphism loci and smoking.
METHODSA case control study, including 1 000 patients with T2DM and 1 010 non-diabetic controls, was conducted in Xinjiang. All the subjects were Uygur and the age difference between the two groups was within 3 years. Physical examination and blood biochemical detection were performed to obtain personal clinical parameters. Genomic DNA was extracted from peripheral blood leukocytes. The single nucleotide polymorphism (SNP) of SLC30A8 of all the subjects was tested by using MALDI-TOF. Statistical analyses were performed with SPSS 16.0. Bootstrap method was used to calculate 95% confidence intervals of RERI, AP and S.
RESULTSAfter adjusting BMI, SBP, TC, HDL-C and LDL-C, rs13266634 of SLC30A8 gene genotype frequency and allele frequency distribution had statistical differences (P<0.05). Rs13266634 of risk allele were C, OR was 1.194 (95% CI: 1.044-1.366). In addition, the data from genotype distribution analysis under different models showed that significant association between rs13266634 and T2DM in dominant model, OR was 1.640 (95% CI 1.072-2.510). The product of rs13266634 with the active smoking or passive smoking had no statistical significance (P>0.05) , indicating there were no multiplication interaction among them. Additive interactions index of RERI, AP and S and its 95% confidence interval of rs13266634 and active smoking, rs13266634 and passive smoking were 0.301 (-1.314-0.712), 0.204 (-0.854-0.446), 0.612 (0.186-2.013) and 0.125 (-0.805-1.055), 0.052 (-0.353-0.456), 1.096 (0.500-2.403) respectively, indicating there were no significant additive interaction among them.
CONCLUSIONRs13666334 of SLC30A8 gene is associated with the susceptibility of T2DM in Uygur, and its protective genotype might be TT. Passive smoking might increase the risk of T2DM in Uygur.
Alleles ; Case-Control Studies ; Cation Transport Proteins ; genetics ; China ; epidemiology ; Diabetes Mellitus, Type 2 ; epidemiology ; genetics ; Gene Frequency ; Genetic Predisposition to Disease ; Genotype ; Humans ; Polymorphism, Single Nucleotide ; Risk Factors ; Smoking ; epidemiology ; Zinc Transporter 8
10.Family history and risk of coronary heart disease.
J H SI ; R R MENG ; C Q YU ; Y GUO ; Z BIAN ; Y L TAN ; P PEI ; J S CHEN ; Z M CHEN ; J LYU ; L M LI
Chinese Journal of Epidemiology 2018;39(2):173-178
Objective: To evaluate the association of family history with risk of major coronary events (MCE) and ischemic heart disease (IHD). Methods: After excluding participants with heart disease, stroke or cancer at baseline survey, a total of 485 784 participants from the China Kadoorie Biobank, who had no missing data on critical variables, were included in the analysis. Cox regression analysis was used to estimate the hazard ratios (HR) and 95% CI. Subgroup analyses were performed according to the baseline characteristics. Results: During a median of 7.2 years of follow-up, we documented 3 934 incident cases of MCE and 24 537 cases of IHD. In multivariable-adjusted models, family history was significantly associated with risk of MCE and IHD. The adjusted HRs (95%CI) were 1.41 (1.19-1.65) and 1.25 (1.18-1.33), respectively. History of disease among siblings was more strongly associated with early-onset MCE than parental history (HR=2.97, 95%CI: 1.80-4.88). Moreover, the association of family history with MCE and IHD was stronger in persons who were overweight or obesive, and the association between family history and MEC was stronger in smokers. Conclusion: This large-scale, prospective study indicated that family history was an independent risk factor for MCE and IHD in China. The intervention targeting major known lifestyle risk factors and the management of chronic diseases should be strengthened for Chinese population, especially for the individuals with family history were at high risk.
Asian People/statistics & numerical data*
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China/epidemiology*
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Coronary Disease/genetics*
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Humans
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Incidence
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Myocardial Ischemia/genetics*
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Overweight/ethnology*
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Proportional Hazards Models
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Prospective Studies
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Risk Assessment
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Risk Factors
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Smoking/ethnology*