Association of genetic polymorphisms of SelS with Type 2 diabetes in a Chinese population
Author(s) -
Long Zhao,
YingYing Zheng,
You Chen,
YiTong Ma,
YiNing Yang,
XiaoMei Li,
Xiang Ma,
Xiang Xie
Publication year - 2018
Publication title -
bioscience reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 77
eISSN - 1573-4935
pISSN - 0144-8463
DOI - 10.1042/bsr20181696
Subject(s) - genetics , type 2 diabetes , genetic association , association (psychology) , chinese population , polymorphism (computer science) , population , biology , genome wide association study , diabetes mellitus , medicine , genotype , single nucleotide polymorphism , gene , psychology , endocrinology , environmental health , psychotherapist
Background: Selenoprotein S (SelS) gene expression is positively correlated to triglyceride (TG) concentrations and is associated with diabetes in animal model. However, the relationship between genetic polymorphisms of SelS and Type 2 diabetes (T2DM) remains unclear. Methods: In the present study, we genotyped four single nucleotide polymorphisms (rs12910524, rs1384565, rs2101171, rs4965814) of SelS gene using TaqMan genotyping method in a case-control study (1947 T2DM patients and 1639 control subjects). Results: We found both rs1384565 CC genotype (12.1 compared with 6.6%, P <0.001) and C allele (35.2 compared with 24.4%, P <0.001) were more frequent in the T2DM patients than in the controls. Logistic regression analysis suggested after adjustment of other confounders, the difference remained significant between the two groups (CC compared with TT, P =0.002, OR = 1.884, 95% CI: 1.263-2.811; CT compared with TT, P <0.001, OR = 1.764, 95% CI: 1.412-2.204). Conclusion: The present study suggested that genetic polymorphisms of SelS were associated with T2DM in a Chinese population.
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