Su Sui-Lung, Yang Hsin-Yi, Wu Chia-Chao, Lee Herng-Sheng, Lin Yuh-Feng, Hsu Chi-An, Lai Ching-Huang, Lin Chin, Kao Sen-Yeong, Lu Kuo-Cheng
School of Public Health, National Defense Medical Center, Taipei, Taiwan.
Division of Nephrology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
ScientificWorldJournal. 2014;2014:169798. doi: 10.1155/2014/169798. Epub 2014 Apr 13.
In this study, we investigated whether RAAS gene single nucleotide polymorphisms (SNPs) and their interactions were associated with end-stage renal stage (ESRD).
This was a case-control study for 647 ESRD cases and 644 controls. AGT (M235T (rs699) and T174M (rs4762)), AGTR1 (A1166C (rs5186) and C573T (rs5182)), ACE (I/D (rs1799752) and G2350A (rs4343)), and CYP11B2 C-344T (rs1799998) were genotyped and compared between cases and controls to identify SNPs associated with ESRD susceptibility. Multifactor dimensionality reduction (MDR) was used to identify gene-gene interactions. Several RAAS genes were associated with ESRD: AGT M235T, ACE I/D, ACE G2350A, and CYP11B2 C-344T. By MDR analysis, a three-locus model (ACE ID/ACE G2350A/CYP11B2 C-344T) of gene-gene interaction was the best for predicting ESRD risk, and its maximum testing accuracy was 56.08% and maximum cross-validation consistency was 9/10. ESRD risk was higher with the simultaneous occurrence of ACE I/D DD-ACE G2350A AA. AGT, ACE, and CYP11B2 gene polymorphisms are associated with ESRD.
The gene-gene interaction effects of ACE I/D, ACE G2350A, and CYP11B2 C-344T polymorphisms are more important than individual factors for ESRD development among Han Chinese.
在本研究中,我们调查了肾素-血管紧张素-醛固酮系统(RAAS)基因单核苷酸多态性(SNP)及其相互作用是否与终末期肾病(ESRD)相关。
这是一项针对647例ESRD病例和644例对照的病例对照研究。对血管紧张素原(AGT)(M235T(rs699)和T174M(rs4762))、血管紧张素Ⅱ受体1型(AGTR1)(A1166C(rs5186)和C573T(rs5182))、血管紧张素转换酶(ACE)(I/D(rs1799752)和G2350A(rs4343))以及细胞色素P450 11B2 C-344T(rs1799998)进行基因分型,并在病例组和对照组之间进行比较,以确定与ESRD易感性相关的SNP。采用多因素降维法(MDR)来识别基因-基因相互作用。几个RAAS基因与ESRD相关:AGT M235T、ACE I/D、ACE G2350A和CYP11B2 C-344T。通过MDR分析,基因-基因相互作用的三位点模型(ACE ID/ACE G2350A/CYP11B2 C-344T)对预测ESRD风险最为有效,其最大检验准确度为56.08%,最大交叉验证一致性为9/10。同时出现ACE I/D DD-ACE G2350A AA时ESRD风险更高。AGT、ACE和CYP11B2基因多态性与ESRD相关。
在中国汉族人群中,ACE I/D、ACE G2350A和CYP11B2 C-344T多态性的基因-基因相互作用效应在ESRD发生中比个体因素更重要。