Polymorphism of Trp64Arg in ADRB3 Increases Risk of T2DM in Chinese Han Population: A Meta-Analysis Based on 22 Studies

Abstract

Objective: Although previous studies have suggested an association between Trp64Arg mutation in adrenergic, beta-3-, receptor (ADRB3) and susceptibility to type 2 diabetes mellitus (T2DM), there is no consistent conclusion on this association amongst the Chinese Han population. Thus, this research was carried out to evaluate the impact of Trp64Arg mutation in ADRB3 on the risk of T2DM in the Chinese Han population. Methods: An electronic search was used to collect relevant literature in English and Chinese from databases such as PubMed, Embase, China National Knowledge Infrastructure (CNKI), WanFang, Sinomed and VIP. Minor allele frequency was calculated and tested in the control groups. The relationship was verified in six genetic models: Allelic, dominant, recessive, homozygous, heterozygous, and codominant. The odds ratio (OR) and 95% confidence interval (CI) were calculated with Metafor package in R (version 3.5.1, developed by Ross Ihaka and Robert Gentleman, Auckland, New Zealand). Sensitivity analysis and publication bias analysis were performed. Results: A total of 22 studies involving 3620 T2DM patients and 2841 healthy participants were included in the quantitative analysis. The frequencies of Arg64 allele and Arg64 homozygous were 0.148 and 0.019 in Chinese Han population. Pooled results showed that Trp64Arg polymorphism was associated with increased risk of T2DM in allele genetic model (OR = 1.72, 95% CI = 1.15–2.58); Dominant model (OR = 1.25, 95% CI = 1.09–1.44); Recessive model (OR = 1.60, 95% CI = 1.10–2.32); Homozygous model (OR = 1.72, 95% CI = 1.18–2.49); Heterozygous model (OR = 1.21, 95% CI = 1.07–1.36), and codominant model (OR = 1.19, 95% CI = 1.05–1.3). Conclusions: The frequency of minor allele Trp64Arg polymorphism in the Chinese Han population was 0.148. The mutation was linked to an increased risk of T2DM in Chinese Han population. Large-sized, well-designed studies adjusted for more confounders should be conducted to confirm and explain this association.