Inner Mongolia Medical University, School of Public Health, Molecular Epidemiology Laboratory of Chronic Diseases, Hohhot Inner Mongolia 010110, China.
Inner Mongolia Medical University, School of Public Health, Department of Epidemiology, Hohhot, Inner Mongolia 010110, China.
Biomed Res Int. 2020 Jun 21;2020:6383906. doi: 10.1155/2020/6383906. eCollection 2020.
The aim of this study was to investigate the association between adiponectin gene polymorphisms , , , , and and environmental risk factors of type 2 diabetes mellitus (T2DM) in Hohhot. The study explored different models of gene-environment interactions, aimed at providing approaches for the prevention and control of T2DM in combination with the characteristics of the local population.
A case-control study was conducted including 406 Chinese participants, comprising 203 cases and 203 controls from various hospitals. Adiponectin () gene polymorphisms , , , , and were detected using an improved multiple ligation detection reaction technique. Generalized multifactor dimensionality reduction (GMDR) and logistic regression were conducted to analyze the associations between adiponectin gene polymorphisms and T2DM, as well as the interactions between adiponectin gene polymorphisms and environmental factors.
gene polymorphisms , , , , and were associated with type 2 diabetes. Based on the haplotype of the five adiponectin gene single-nucleotide polymorphism (SNP) loci, we found that G-G-A-A-C was a susceptible haplotype of T2DM ( < 0.05). Interaction analyses demonstrated associations between and central obesity (consistency = 80%, = 0.011) and between and and central obesity (consistency = 70%, = 0.011).
Our findings indicate that there is an interaction between the gene and central obesity, which provides new insights into the prevention and treatment of T2DM.
本研究旨在探讨呼和浩特地区脂联素基因多态性 、 、 、 、 和 与 2 型糖尿病(T2DM)环境危险因素的关系。本研究探索了不同的基因-环境交互作用模型,旨在结合当地人群的特点,为 T2DM 的预防和控制提供方法。
采用病例对照研究,选取呼和浩特市各医院的 406 例中国参与者,包括 203 例病例和 203 例对照。采用改良多重连接检测反应技术检测脂联素()基因多态性 、 、 、 、 。采用广义多因素降维(GMDR)和 logistic 回归分析脂联素基因多态性与 T2DM 的关系,以及脂联素基因多态性与环境因素的交互作用。
基因多态性 、 、 、 、 与 2 型糖尿病有关。基于五个脂联素基因单核苷酸多态性(SNP)位点的单倍型,我们发现 G-G-A-A-C 是 T2DM 的易感单倍型(<0.05)。交互分析表明 与中心性肥胖之间存在关联(一致性=80%,=0.011), 与 和中心性肥胖之间也存在关联(一致性=70%,=0.011)。
我们的研究结果表明,基因与中心性肥胖之间存在相互作用,为 T2DM 的预防和治疗提供了新的思路。