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Association of adipose most abundant transcript 1 gene ( apM1 ) with type 2 diabetes mellitus in a Chinese population: a meta‐analysis of case‐control studies
Author(s) -
Li Shengbing,
Li Ling,
Li Ke,
Qi Xiaoya,
Hoekema Dale,
Liu Hua,
Yang Gangyi
Publication year - 2008
Publication title -
clinical endocrinology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.055
H-Index - 147
eISSN - 1365-2265
pISSN - 0300-0664
DOI - 10.1111/j.1365-2265.2007.03114.x
Subject(s) - meta analysis , odds ratio , type 2 diabetes mellitus , publication bias , medicine , type 2 diabetes , genotype , biology , meta regression , adiponectin , oncology , genetics , endocrinology , diabetes mellitus , obesity , gene , insulin resistance
Summary Background Polymorphisms of the adipose most abundant transcript 1 gene ( apM1 ) may be closely associated with type 2 diabetes mellitus (T2DM) as described in several recent publications. In the present study, a meta‐analysis was performed to quantitatively analyse the association of apM1 polymorphisms with T2DM using previous case‐control studies in Chinese populations. Research design and method Several electronic databases were searched for relevant articles up to January 2007. After data collection and gene loci selection, a meta‐analysis was performed to assess heterogeneity, combine results and evaluate variations. Publication bias was examined by the Egger's linear regression test and fail‐safe number for P = 0·05 (Nfs 0·05 ). Hardy–Weinberg equilibrium (HWE) test and different effect models were employed for the sensitivity analysis. Results The meta‐analysis for this study included 2379 subjects from nine studies. The distribution of SNP45TG + GG and SNP276GG polymorphisms of the apM1 was analysed. Results of these experiments revealed a significant association between the SNP45TG + GG and SNP276GG polymorphisms of apM1 with T2DM in Chinese populations ( P ≤ 0·05). There was some heterogeneity in the SNP45TG + GG apM1 among these studies. The odds ratio (OR) of apM1 genotype SNP45TG + GG in T2DM was 1·59 when compared with controls (95% CI, 1·00–2·53, P = 0·05), and the OR for the wild‐ apM1 genotype SNP276GG in T2DM was 1·26 (95% CI, 1·00–1·59, P = 0·05). The publication bias diagnostics and sensitivity analysis confirmed the reliability and stability of this meta‐analysis. Conclusion This apM1 polymorphism was found to be strongly associated with T2DM, and the SNP45TG + GG and SNP276GG forms of the apM1 increased risk for T2DM in Chinese populations.