Centre for Drug and Herbal Development, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, 50300, Kuala Lumpur, Malaysia.
Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, 56000, Kuala Lumpur, Malaysia.
Sci Rep. 2024 Aug 29;14(1):20062. doi: 10.1038/s41598-024-70674-2.
Single nucleotide polymorphisms (SNPs) could increase the susceptibility of individuals to develop obesity and type 2 diabetes (T2DM). Obesity and T2DM are closely related pathophysiologically, thus similar SNPs could mediate both these diseases, but this is rarely reported. Furthermore, limited studies have been performed to summarize SNP data in the Asian population compared to the Western population. In this study, we aimed to summarize SNPs that are associated with the development of obesity and T2DM among Asian populations. We searched six literature databases and Review Manager (RevMan) was used for meta-analysis. The pooled odds ratios (ORs) and 95% CIs were calculated with a random effects model for the heterogeneity among studies. The pooled analysis showed that rs9939609 (FTO gene) and rs17782313 and rs571312 (MC4R gene) are associated with obesity with an odd ratio (OR) of 1.37, 1.36 and 1.29 respectively. For T2DM, five SNPs, rs7903146 and rs12255372 (TCF7L2 gene), rs13266634 and rs11558471 (SLC30A8 gene) and rs2283228 (KCNQ1 gene) have also shown strong associations with T2DM at OR of 1.64, 1.61, 1.22, 1.29 and 1.60 respectively. This data could be used to develop a gene screening panel for assessing obesity and T2DM susceptibility.
单核苷酸多态性(SNPs)可能会增加个体患肥胖症和 2 型糖尿病(T2DM)的易感性。肥胖症和 T2DM 在病理生理学上密切相关,因此类似的 SNPs 可能会介导这两种疾病,但这很少有报道。此外,与西方人群相比,针对亚洲人群进行的 SNP 数据汇总研究有限。在这项研究中,我们旨在总结与亚洲人群肥胖症和 T2DM 发展相关的 SNPs。我们检索了六个文献数据库,并使用 Review Manager(RevMan)进行荟萃分析。使用随机效应模型计算研究间异质性的合并优势比(OR)和 95%置信区间(CI)。合并分析表明,rs9939609(FTO 基因)和 rs17782313 和 rs571312(MC4R 基因)与肥胖症相关,优势比(OR)分别为 1.37、1.36 和 1.29。对于 T2DM,rs7903146 和 rs12255372(TCF7L2 基因)、rs13266634 和 rs11558471(SLC30A8 基因)和 rs2283228(KCNQ1 基因)这五个 SNPs 也与 T2DM 具有很强的相关性,OR 分别为 1.64、1.61、1.22、1.29 和 1.60。这些数据可用于开发评估肥胖症和 T2DM 易感性的基因筛查面板。