Yi Xingyang, Liao Duanxiu, Fu Xiuquan, Zhang Biao, Wang Chun
Department of Neurology, People's Hospital of Deyang City.
J Atheroscler Thromb. 2015;22(11):1148-57. doi: 10.5551/jat.29025. Epub 2015 May 1.
Ischemic stroke (IS) is a multifactorial disease caused by environmental risk factors and genetic susceptibility. However, few studies have assessed whether gene-gene interactions among cytochrome P450 (CYP) pathway genes influence the risk of IS. The aim of the present study was to investigate the association of 10 variants of eight CYP pathway genes with IS and to determine whether these gene-gene interactions increase the risk of IS.
Ten variants of eight CYP pathway genes were examined using mass spectrometry methods in 396 patients with IS and 378 controls. Gene-gene interactions were analyzed using generalized multifactor dimensionality reduction (GMDR) methods.
Apart fro m variant rs9333025, there were no significant differences in the genotype distributions of the other nine variants between the two groups using the single-locus analytical approach. However, the GMDR analysis showed a significant gene-gene interaction among rs17110453, rs751141, and rs9333025, which scored 10 for cross-validation consistency and nine for the sign test (p=0.011). Individual patients with the combination of 17110453CC, rs751141GG, and rs9333025GG had a significantly higher risk for IS than those with the combination of 17110453AA, rs751141AA, and rs9333025AA [odds ratio (OR)=2.86, 95% confidence interval (CI): 1.24-7.26, p=0.004]. Logistic regression analysis showed that certain gene-gene interactions among rs17110453, rs751141, and rs9333025 predict a higher risk for IS (OR=2.36, 95% CI: 1.228-5.297, p=0.005).
The three-loci interaction may confer a higher risk for IS. The combinatorial analysis used in this study may be helpful to elucidate complex genetic risk factors for IS.
缺血性中风(IS)是一种由环境风险因素和遗传易感性引起的多因素疾病。然而,很少有研究评估细胞色素P450(CYP)途径基因之间的基因-基因相互作用是否会影响IS的风险。本研究的目的是调查8个CYP途径基因的10个变体与IS的关联,并确定这些基因-基因相互作用是否会增加IS的风险。
采用质谱法对396例IS患者和378例对照进行8个CYP途径基因的10个变体检测。使用广义多因素降维(GMDR)方法分析基因-基因相互作用。
采用单基因座分析方法,除rs9333025变体外,两组间其他9个变体的基因型分布无显著差异。然而,GMDR分析显示rs17110453、rs751141和rs9333025之间存在显著的基因-基因相互作用,交叉验证一致性得分为10分,符号检验得分为9分(p=0.011)。携带17110453CC、rs751141GG和rs9333025GG组合的个体患IS的风险显著高于携带17110453AA、rs751141AA和rs9333025AA组合的个体[比值比(OR)=2.86,95%置信区间(CI):1.24-7.26,p=0.004]。逻辑回归分析显示,rs17110453、rs751141和rs9333025之间的某些基因-基因相互作用预示着患IS的风险更高(OR=2.36,95%CI:1.228-5.297,p=0.005)。
三位点相互作用可能会增加患IS的风险。本研究中使用的组合分析可能有助于阐明IS复杂的遗传风险因素。