1.Association of GCKR gene polymorphisms and type 2 diabetes among ethnic Uygurs.
Qi MA ; Li WANG ; Hua YAO ; Jun ZHU ; Shuxia WANG ; Xhaoxia ZHANG ; Tingting WANG ; Yan MA ; Yinxia SU ; Zhiqiang WANG ; Lili DING
Chinese Journal of Medical Genetics 2016;33(4):540-544
OBJECTIVETo assess the association of glucokinase regulator protein (GCKR) gene polymorphisms and type 2 diabetes (T2D) among ethnic Uygurs from Xinjiang, China.
METHODSOne thousand and six T2D patients and 1004 healthy controls were recruited. The rs780094 genotype of the GCKR gene was determined with a Sequenom Mass ARRAY system.
RESULTSThe distribution of GCKR rs780094 AA, AG and GG genotypes were not statistically different between the two groups (P>0.05). After adjusting confounding factors, an association of rs780094 with T2D was observed in an additive and dominant model (OR=1.181, 95%CI: 1.021-1.366, P=0.025; OR=1.296, 95%CI: 1.043-1.610, P=0.019). The total cholesterol level was higher in AA carriers than GG and GA carriers (P<0.05).
CONCLUSIONThe AA genotype of the GCKR rs780094 polymorphism may increase the risk of T2D among ethnic Uygurs from Xinjiang.
Adaptor Proteins, Signal Transducing ; genetics ; China ; ethnology ; Cholesterol ; blood ; Diabetes Mellitus, Type 2 ; blood ; etiology ; genetics ; Genotype ; Humans ; Logistic Models ; Polymorphism, Genetic
2.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