OBJECTIVE: To investigate whether the mannose-binding-lectin 2 (MBL2) gene was associated with type 2 diabetes in the populations living the northern part of China. METHODS: The study involved 318 type 2 diabetic patients and 448 normoglycemic controls. The variances of rs1800450, rs1800451 and rs11003125 were determined by the Multiplex SNaPshot method. Fasting blood-glucose, triglyceride and total cholesterol were also measured. All of these results were analyzed by logistic regression method. Linkage disequilibrium and Haplotype measures were computed in all samples using Haploview. RESULTS: There seemed no mutation on rs1800451 while the rs1800450 and rs11003125 polymorphism was consistent with Hardy-Weinberg expectations in both the case and the control groups. Genotypes and allele frequencies of rs1800450 as well as rs11003125 were observed (P = 0.006, P = 0.003) and (P = 0.010, P = 0.004), respectively. Data from logistic regression analysis revealed that factors as overweight, abdominal obesity, hypercholesterolemia, GG genotype frequencies of Exon1 rs1800450 polymorphism as well as (GC + CC) genotype frequencies of rs11003125 polymorphism in MBL2 conferred increased risks for type 2 diabetes. Haplotype analyses of the two SNPs (rs1800450, rs11003125) revealed similar effects as compared with the single SNP associations. Only haplotype constructed from GC alleles conferred increased trends for type 2 diabetes (OR = 2.21, 95%CI: 1.47 - 3.33, P = 0.000). CONCLUSION: Our result suggested that the Exon1 rs1800450 polymorphism and promoter region rs11003125 polymorphism in MBL2 gene were both associated with type 2 diabetes in the Chinese population living in the northern areas of China. The G allele of rs1800450 and C allele of rs11003125 might be the risk factors of type 2 diabetes.
OBJECTIVE: To investigate whether the mannose-binding-lectin 2 (MBL2) gene was associated with type 2 diabetes in the populations living the northern part of China. METHODS: The study involved 318 type 2 diabeticpatients and 448 normoglycemic controls. The variances of rs1800450, rs1800451 and rs11003125 were determined by the Multiplex SNaPshot method. Fasting blood-glucose, triglyceride and total cholesterol were also measured. All of these results were analyzed by logistic regression method. Linkage disequilibrium and Haplotype measures were computed in all samples using Haploview. RESULTS: There seemed no mutation on rs1800451 while the rs1800450 and rs11003125 polymorphism was consistent with Hardy-Weinberg expectations in both the case and the control groups. Genotypes and allele frequencies of rs1800450 as well as rs11003125 were observed (P = 0.006, P = 0.003) and (P = 0.010, P = 0.004), respectively. Data from logistic regression analysis revealed that factors as overweight, abdominal obesity, hypercholesterolemia, GG genotype frequencies of Exon1 rs1800450 polymorphism as well as (GC + CC) genotype frequencies of rs11003125 polymorphism in MBL2 conferred increased risks for type 2 diabetes. Haplotype analyses of the two SNPs (rs1800450, rs11003125) revealed similar effects as compared with the single SNP associations. Only haplotype constructed from GC alleles conferred increased trends for type 2 diabetes (OR = 2.21, 95%CI: 1.47 - 3.33, P = 0.000). CONCLUSION: Our result suggested that the Exon1 rs1800450 polymorphism and promoter region rs11003125 polymorphism in MBL2 gene were both associated with type 2 diabetes in the Chinese population living in the northern areas of China. The G allele of rs1800450 and C allele of rs11003125 might be the risk factors of type 2 diabetes.