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Variant rs2237892 of KCNQ1 Is Potentially Associated with Hypertension and Macrovascular Complications in Type 2 Diabetes Mellitus in A Chinese Han Population

查看全文 作　　者：Wanlin [1]Zhang;Hailing [1]Wang;Xiaomin [1]Guan;Qing [1]Niu;Wei [1,2]Li 高影响力作者 机构地区：[1]Zhejiang Key Laboratory of Medical Genetics, Wenzhou Medical University;[2]School of Laboratory Medicine and Life Science, Wenzhou Medical University高影响力机构 出　　处：《Genomics, Proteomics & Bioinformatics》索引2015年第13卷第6期,共7页高影响力期刊 基　　金：supported by the National Natural Science Foundation of China(Grant No. 81271918);Zhejiang Provincial Natural Science Foundation of China (Grant No. Y2090753);Key Science and Technology Innovation Team of Zhejiang Province (Grant No. 2010R50048);Zhejiang Provincial Program for the Cultivation of High-level Innovative Health Talents;the Medical Scientific Projects from the Health Bureau of Zhejiang Province (Grant No. 2011ZDA016) 摘　　要：KCNQ1 has been identified as a susceptibility gene of type 2 diabetes mellitus(T2DM) in Asian populations through genome-wide association studies. However, studies on the association between gene polymorphism of KCNQ1 and T2 DM complications remain unclear. To further analyze the association between different alleles at the single nucleotide polymorphism(SNP) rs2237892 within KCNQ1 and TD2 M and its complications, we conducted a case-control study in a Chinese Han population. The C allele of rs2237892 variant contributed to susceptibility to T2DM(odds ratio [OR], 1.45; 95% confidence interval [CI], 1.20–1.75). Genotypes CT(OR, 1.97; 95% CI,1.24–3.15) and CC(OR, 2.49; 95% CI, 1.57–3.95) were associated with an increased risk of T2 DM. Multivariate regression analysis was performed with adjustment of age, gender, and body mass index. We found that systolic blood pressure(P = 0.015), prevalence of hypertension(P = 0.037), and risk of macrovascular disease(OR, 2.10; CI, 1.00–4.45) were significantly higher in subjects with the CC genotype than in the combined population with genotype either CT 关 键 词：中国汉族人群 2型糖尿病 并发症 高血压 血管 变异 多元线性回归分析 基因多态性
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