Fang Kai, Gao Pei, Tian Jun, Qin Xueying, Yu Wenzhen, Li Juan, Chen Qing, Huang Lvzhen, Chen Dafang, Hu Yonghua, Li Xiaoxin
Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Department of Ophthalmology, Peking University People's Hospital, Beijing 100044, China ; Key Laboratory of Vision Loss and Restoration, Ministry of Education, Beijing 100044, China.
J Ophthalmol. 2015;2015:821918. doi: 10.1155/2015/821918. Epub 2015 Mar 25.
Purpose. The etiology of neovascular age-related macular degeneration (nAMD) cannot be completely explained by identified environmental risk factors or single-locus gene variants. This study was to explore the potential interactions among gene variants on nAMD in Chinese population. Methods. 43 SNPs located in different genes were genotyped in 932 Chinese individuals (464 nAMD patients and 468 controls). We explored the potential interactions among gene variants using generalized multifactor dimensionality reduction (GMDR) algorithm and the method to measure the departure from the additivity model. Results. The joint effect that involved CFH rs1061170 and HTRA1 rs3793917 was shown statistically significant (P < 0.001) with the highest cross-validation consistency (10/10) and the best testing balanced accuracy (64.50%). In addition, based on the method to measure the departure from the additivity model, the synergy index (S) was 2.63 (1.09-6.38) and the attributable proportion due to interaction (AP) was 55.7% (21.4%-89.9%), which suggested that a common pathway may exist for these genes for nAMD. Those who carried CC for rs3793917 and TC/CC for rs1061170 were at the highest risk of nAMD (OR: 9.76, 95% CI: 4.65-20.51). Conclusions. Evidence that the joint effect that involved CFH and ARMS2/HTRA1 may contribute to the risk of neovascular AMD in Chinese population was obtained.
目的。新生血管性年龄相关性黄斑变性(nAMD)的病因不能完全由已确定的环境危险因素或单基因座基因变异来解释。本研究旨在探讨中国人群中nAMD基因变异之间的潜在相互作用。方法。对932名中国人(464例nAMD患者和468例对照)进行了位于不同基因中的43个单核苷酸多态性(SNP)的基因分型。我们使用广义多因素降维(GMDR)算法和测量偏离相加模型的方法来探讨基因变异之间的潜在相互作用。结果。涉及CFH rs1061170和HTRA1 rs3793917的联合效应具有统计学意义(P < 0.001),交叉验证一致性最高(10/10),测试平衡准确率最佳(64.50%)。此外,基于测量偏离相加模型的方法,协同指数(S)为2.63(1.09 - 6.38),交互作用归因比例(AP)为55.7%(21.4% - 89.9%),这表明这些基因可能存在nAMD的共同途径。携带rs3793917的CC基因型和rs1061170的TC/CC基因型的个体患nAMD的风险最高(比值比:9.76,95%置信区间:4.65 - 20.51)。结论。获得了涉及CFH和ARMS2/HTRA1的联合效应可能导致中国人群新生血管性AMD风险增加的证据。