Yang Cheng-Hong, Lin Yu-Da, Wu Shyh-Jong, Chuang Li-Yeh, Chang Hsueh-Wei
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan.
Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Biomed Res Int. 2015;2015:454091. doi: 10.1155/2015/454091. Epub 2015 Apr 19.
Several single nucleotide polymorphisms (SNPs) of renin-angiotensin system (RAS) genes are associated with hypertension (HT) but most of them are focusing on single locus effects. Here, we introduce an unbalanced function based on multifactor dimensionality reduction (MDR) for multiloci genotypes to detect high order gene-gene (SNP-SNP) interaction in unbalanced cases and controls of HT data. Eight SNPs of three RAS genes (angiotensinogen, AGT; angiotensin-converting enzyme, ACE; angiotensin II type 1 receptor, AT 1 R) in HT and non-HT subjects were included that showed no significant genotype differences. In 2- to 6-locus models of the SNP-SNP interaction, the SNPs of AGT and ACE genes were associated with hypertension (bootstrapping odds ratio [Boot-OR] = 1.9723.785; 95%, confidence interval (CI) 1.266.21; P < 0.005). In 7- and 8-locus model, SNP A1166C of AT 1 R gene is joined to improve the maximum Boot-OR values of 4.050 to 4.483; CI = 2.49 to 7.29; P < 1.63E - 08. In conclusion, the epistasis networks are identified by eight SNP-SNP interaction models. AGT, ACE, and AT 1 R genes have overall effects with susceptibility to hypertension, where the SNPs of ACE have a mainly hypertension-associated effect and show an interacting effect to SNPs of AGT and AT 1 R genes.
肾素-血管紧张素系统(RAS)基因的多个单核苷酸多态性(SNP)与高血压(HT)相关,但大多数研究聚焦于单基因座效应。在此,我们引入一种基于多因素降维法(MDR)的不平衡函数,用于分析多位点基因型,以检测高血压数据中不平衡病例和对照的高阶基因-基因(SNP-SNP)相互作用。研究纳入了高血压患者和非高血压受试者中三个RAS基因(血管紧张素原,AGT;血管紧张素转换酶,ACE;血管紧张素II 1型受体,AT1R)的8个SNP,这些SNP在基因型上无显著差异。在SNP-SNP相互作用的2至6位点模型中,AGT和ACE基因的SNP与高血压相关(自展比值比[Boot-OR]=1.9723.785;95%置信区间[CI] 1.266.21;P<0.005)。在7和8位点模型中,AT1R基因的SNP A1166C加入后,最大Boot-OR值提高到4.050至4.483;CI=2.49至7.29;P<1.63E - 08。总之,通过8个SNP-SNP相互作用模型确定了上位性网络。AGT、ACE和AT1R基因对高血压易感性具有总体影响,其中ACE基因SNP主要与高血压相关,并与AGT和AT1R基因的SNP表现出相互作用效应。