Meta-analysis on the association of apM1 gene single nucleotide polymorphisms and type 2 diabetes mellitus in Chinese population
- VernacularTitle:中国人群2型糖尿病与脂联素基因单核苷酸多态性关系的Meta分析
- Author:
Shengbing LI
;
Gangyi YANG
;
Ling LI
;
Ke LI
;
Xiaoya QI
;
Hua LIU
;
Boden GUENTHER
- Publication Type:Journal Article
- Keywords:
Diabetes mellitus,type 2;
Adiponectin;
apM1 gene;
Polymorphism,single nueleotide;
Meta-analysis;
Chinese population
- From:
Chinese Journal of Endocrinology and Metabolism
2008;24(5):496-500
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the association of apM1 gene single nucleotide polymorphisms (SNP) with type 2 diabetes mellitus in Chinese population. Methods Odds ratios (OR) of apM1 gene SNP distribution were analyzed. The Meta-analysis software (RevMan 4.3.1) was employed for summarizing the studies,calculating the pooled OR and its 95% CI and testing the overall effects. Egger's test and fail-safe number for P=0.05 (Nfs<,0.05>) were performed for evaluating the publication bias. The sensitivity analysis by different effect models and sample sizes were employed for the reliability of Meta-analysis. Results Nine literatures were obtained, apM1 gene SNP45 showed remarkable heterogeneity among the studies (P<0.10). Sub-group analysis revealed that the discrepancy based on southern Chinese individuals was the main source of the total heterogeneity.The distribution frequencies of apM1 gene SNP45G, SNP45GG, SNP276G and SNP276GG were significantly higher in Chinese type 2 diabetes mellitus group than those in NGT group (P<0.05). Their pooled OR and 95% C/were 1.50[1.12,2.02], 2.15[1.53, 3.02],1.23[1.03, 1.46] and 1.26[1.00,1.59], respectively (all P<0.05). The distribution of apM1 gene SNP45TG and SNP276GT between type 2 diabetes mellitus and normal glucose tolerance group revealed no difference among these studies. The results of publication bias diagnostics and sensitivity analysis accounted for the reliability and stability of this Meta-analysis. Conclusion apM1 gene SNPs are strongly associated with type 2 diabetes mellitus in Chinese population. SNP45G and SNP276G seem to be risk factors for type 2 diabetes mellitus.
