利用全基因组SNP芯片筛查2型糖尿病患者大血管病变易感基因

朱沂; 张晓莉; 张忠辉; 张峰; 张永彪; 府伟灵

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利用全基因组SNP芯片筛查2型糖尿病患者大血管病变易感基因

论著 | 更新时间：2026-01-09

- 利用全基因组SNP芯片筛查2型糖尿病患者大血管病变易感基因
- Screening macroangiopathy susceptibility genes in type 2 diabetes mellitus patients with whole genome-wide SNP array
- 陆军军医大学学报 2011年33卷第4期页码：331-334
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  中图分类号： R394-33;R446.9;R587.104
- 纸质出版：2011
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朱沂,张晓莉,张忠辉,张峰,张永彪,府伟灵.利用全基因组SNP芯片筛查2型糖尿病患者大血管病变易感基因[J].陆军军医大学学报(原第三军医大学学报),2011,33(04):331-334.

　Zhu Yi,Zhang Xiaoli,Zhang Zhonghui,Zhang Feng,Zhang Yongbiao,Fu Weiling.Screening macroangiopathy susceptibility genes in type 2 diabetes mellitus patients with whole genome-wide SNP array[J].J Amry Med Univ (J Third Mil Med Univ),2011,33(04):331-334.
朱沂,张晓莉,张忠辉,张峰,张永彪,府伟灵.利用全基因组SNP芯片筛查2型糖尿病患者大血管病变易感基因[J].陆军军医大学学报(原第三军医大学学报),2011,33(04):331-334. DOI：

　Zhu Yi,Zhang Xiaoli,Zhang Zhonghui,Zhang Feng,Zhang Yongbiao,Fu Weiling.Screening macroangiopathy susceptibility genes in type 2 diabetes mellitus patients with whole genome-wide SNP array[J].J Amry Med Univ (J Third Mil Med Univ),2011,33(04):331-334. DOI：

摘要

目的分析筛查2型糖尿病（T2DM）患者早期大血管病变的易感基因和单核苷酸多态性（single nucleotide polymorphism，SNP）位点。方法利用ILLUMINA人类全基因组SNP芯片(HumanCytoSNP-12 v1.0 DNA Analysis BeadChip Kit)，对在经多因素干预下仍出现大血管病变的34例T2DM病例及同样条件下未发大血管病变的52例对照进行SNP扫描分型；通过全基因组关联分析，筛选T2DM早期大血管病变的易感基因和遗传标记。结果通过PLINK软件对芯片结果进行全基因组关联分析(genome-wide association study

GWAS)，筛选出在病例组和对照组间有显著差异（P0.01）的SNP位点总计452个，其中处于T2DM大血管病变主要代谢通路相关基因内或者附近的SNP位点37个

通过这些SNP位点锁定T2DM患者大血管病变易感基因30个。结论 T2DM大血管病变受遗传多态性影响，可能与多个基因以及位点相关。

Abstract

Objective To analyze and screen macroangiopathy susceptibility genes and single nucleotide polymorphism (SNP) loci in type 2 diabetes mellitus (T2DM) patients. Methods The DNA sample of 34 patients with type 2 diabetes who had been interfered with multiple risk factors of macroangiopathy but still developed to atherosclerosis and 54 other T2DM patients under the same conditions but having no arteriosclerosis were scanned by human whole genome-wide SNP array of ILLUMINA (HumanCytoSNP-12 v1.0 DNA Analysis Bead Chip Kit). The susceptibility genes and genetic markers of macroangiopathy in type 2 diabetes were screened through genome-wide association analysis (GWA). Results The results of chip test were studied for genome-wide association by PLINK software. There were 452 SNPs found to be significantly different between case group and control (P0.01). Among them

37 SNPs were in or near to the genes related the major metabolic pathway of T2DM macroangiopathy. According these 37 SNP loci

30 genes were identified as macroangiopathy susceptibility genes for T2DM. Conclusion Our study shows that genetic polymorphism is associated with macroangiopathy of T2DM

and some multiple genes and SNPs might be involved.

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