[Association study of single nucleotide polymorphisms of AQP7 and AQP9 genes with type 2 diabetes mellitus among ethnic Han Chinese population].

OBJECTIVE: To assess the association of single nucleotide polymorphisms (SNP) of aquaporin 7 ( AQP7) and aquaporin 9 ( AQP9) genes and type 2 diabetes mellitus (T2DM) among ethnic Han Chinese population. METHODS: A case-control study involving 1194 subjects with T2DM and 1274 non-diabetic mellitus (NDM) subjects were enrolled. Genotypes of three SNPs (rs3758269 of AQP7 gene, rs16939881 and rs57139208 of AQP9 gene) were determined by using a MassArray method. The association of the three SNPs with T2DM was assess, and the correlation of glucose and lipid metabolism parameters with various SNP genotypes in the NDM group was analyzed. RESULTS: The allelic and genotypic frequencies of the three SNPs did not differ significantly between the two groups (P>0.05). Nor was there significant difference between the two groups with different genetic models (P>0.05). No significant association of genotypes of AQP7 gene rs3758269, AQP9 gene rs16939881 and rs57139208 with glucose and lipid metabolism parameters were observed in the NDM group (P>0.05). CONCLUSION: The rs3758269 in AQP7 gene and rs16939881 and rs57139208 in AQP9 gene are not associated with the genetic susceptibility of T2DM among ethnic Han Chinese population.

The Single Nucleotide Polymorphisms (rs1292037 and rs13137) in miR-21 Were Associated with T2DM in a Chinese Population.

BACKGROUND: Insulin receptor (INSR), insulin receptor substrate (IRS) and glucose transporter 4 (GLUT4) play important roles in the insulin resistance pathway. The microRNA (miRNA or miR) involved in INSR, IRS or GLUT4 could be associated with the development of type 2 diabetes (T2DM). METHODS: The aim of this study was to investigate the association of T2DM with 12 single nucleotide polymorphisms (SNPs) in 7 miRNAs (miR-195, miR-126, miR-144, miR-155, miR-21, miR-93 and miR-222) involved in the insulin resistance pathway. A total of 1593 subjects with T2DM and 1656 nondiabetic subjects were genotyped. Then, the associations of these SNPs with the development of T2DM and individual metabolic traits were evaluated, such as fasting plasma glucose (FPG) and glycosylated haemoglobin (HbA1C). RESULTS: Our data showed that the C allele of rs1292037 in miR-21 could increase the risk of developing T2DM (P = 0.002, OR = 1.17; 95% CI: 1.06-1.29). In addition, the T allele of rs13137 in miR-21 could be a risk factor for T2DM (P = 0.003, OR = 1.16; 95% CI: 1.05-1.28). According to inheritance mode analysis, compared with the T/T-T/C genotype, the C/C genotype of rs1292037 showed a risk effect in T2DM in the recessive mode (P = 0.001, OR = 1.35; 95% CI: 1.13-1.63). For rs13137, compared with the A/A-A/T genotype, the T/T genotype also showed a risk effect in T2DM in the recessive mode (P = 0.001, OR = 1.35; 95% CI: 1.13-1.62). Moreover, in the nondiabetic group, compared with the rs78312845 A/G (FPG = 5.177±0.488mmol/L; HbA1C = 5.147±0.293%) and A/A genotypes (FPG = 5.155±0.486mmol/L; HbA1C = 5.136±0.299%), the G/G genotype (FPG = 4.887±0.482mmol/L; HbA1C = 4.960±0.397%) was associated with lower FPG (P = 0.012 and 0.019) and HbA1C (P = 0.008 and 0.011). CONCLUSION: Our results revealed that rs1292037 and rs13137 in miR-21 were associated with T2DM susceptibility in a Han Chinese population. Moreover, the rs78312845 in miR-195 contributed to the level of FPG and HbA1C in nondiabetic group in the Han Chinese population.