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Article in Chinese | WPRIM | ID: wpr-291559


<p><b>OBJECTIVE</b>To study the polymorphisms of cerebrovascular and cardiovascular disease genes using Taqman single nucleotide polymorphism (SNP) genotyping kits.</p><p><b>METHODS</b>A total of 2000 subjects were recruited from the Guangzhou Biobank Cohort Study (GBCS), and 15 SNPs were detected using Taqman SNP genotyping kits and an ABI 7900HT real time PCR system. The data were tested for the Hardy-Weinberg equilibrium, and then compared with the data of the Chinese population from the International HapMap Project (HapMap_HCN).</p><p><b>RESULTS</b>(1) All genotype data of the 15 SNPs were consistent with the Hardy-Weinberg rules. (2) The significant differences were observed among two SNPs, rs4220 and rs5368 and the HapMap_HCN (rs4220 28.2% vs 17.8%; chi(2) = 4.891, P = 0.028; rs5368 22.1% vs 32.2%, chi(2) = 5.137, P = 0.024). Comparing other gene bank data, such as AFD-CHN-PANEL, the Allele Frequency Database (ALFRED) and JBIC-allele, it would be most likely that our observations represent differences between the Northern and Southern populations in China.</p><p><b>CONCLUSION</b>Such Biobank study provided a useful platform for the study of the role of genetic and environmental determinants on cerebrovascular and cardiovascular disease.</p>

Humans , Asian People , Genetics , Biological Specimen Banks , Brain Diseases , Epidemiology , Genetics , Cardiovascular Diseases , Epidemiology , Genetics , China , Epidemiology , Cohort Studies , Genetic Association Studies , Genotype , Polymorphism, Single Nucleotide
Chinese Journal of Epidemiology ; (12): 462-465, 2009.
Article in Chinese | WPRIM | ID: wpr-266500


Objective To examine the impact of International Physical Activity Questionnaire (IPAQ) physical activity intensity on to the prevalence of diabetes mellitus among Chinese elderly. Methods A total number of 1996 residents aged 50 or above living in Guangzhou city were recruited from the phase 3 of the Guangzhou Biobank Cohort Study. Information on physical activity and fasting plasma glucose status was derived from standardized interviews and laboratory assays. Results Among the participants who were classified as physically active (60.0%), moderate active (29.8%) and inactive (10.2%), the prevalence rates of type 2 diabetes mellitus were 9.1%, 12.0%and 14.2%,respectively. After adjustment on age, sex, obesity and other potential confounding factors, data from logistic regression model showed that the odds ratios (95% confidence interval) for diabetes on subjects in physically moderate active and active group were 0.75 (0.46-1.26)and 0.60 (0.38-0.97) respectively with P for trend as 0.03, when comparing to those physically inactive ones. Conclusion Promotion of physical activity might have had some effects in reducing the risk of diabetes mellitus among the older adults.