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目的基于全基因组关联分析(GWAS)的研究结果,初步建立一个2型糖尿病易感基因的局部基因网络图,为今后的基因-基因交互作用,基因-环境交互作用的研究提供参考。方法该研究的65个候选基因选自经过GWAS研究获得统计学关联的2型糖尿病易感基因,从中选取具有2个或以上通路的目标基因27个,并通过通路的筛选、中间基因的选取,构建局部基因网络,并利用Ai CS6软件绘制网络图。网络构建由以下步骤构成:(1)通过KEGG、Genecards数据库获取基因和通路的基本信息;(2)建立初级基因网络;(3)选取中间基因;(4)构建基因二级连接;(5)构建局部基因网络并绘制网络图。结果获得了1个包括27个易感基因和10个中间基因以及一系列连接基因和中间分子的局部基因网络图,该网络包含20条生物通路。结论该研究所得的局部基因网络图较为直观和综合地展示β细胞功能减退和胰岛素抵抗易感基因之间的相互关系,可对深入研究2型糖尿病分子病因机制提供参考。
Objective Based on the results of genome-wide association analysis (GWAS), we initially established a local gene network map of susceptibility genes of type 2 diabetes to provide reference for future research on gene-gene interaction and gene-environment interaction. Methods Sixty-five candidate genes of this study were selected from the type 2 diabetes-susceptible genes that were statistically associated with GWAS. Twenty-seven target genes with two or more pathways were selected from them. Through screening of pathways, selection of intermediate genes, Build a local gene network and use Ai CS6 software to draw a network map. The network construction consists of the following steps: (1) Obtaining basic information of genes and pathways through KEGG and Genecards databases; (2) Establishing a network of primary genes; (3) Selecting intermediate genes; (4) Build a local gene network and draw a network map. As a result, a local gene network map including 27 susceptible genes and 10 intermediate genes as well as a series of connecting genes and intermediate molecules was obtained, which contains 20 biological pathways. Conclusion The local gene network obtained in this study shows the relationship between β-cell dysfunction and insulin resistance susceptibility genes more intuitively and synthetically. It may provide a reference for further study on molecular mechanism of type 2 diabetes mellitus.