Genetic and environmental factors strongly influence risk,severity and progression of age-related macular degeneration  

作　　者：Wenqiu Wang Katarzyna Gawlik Joe Lopez Cindy Wen Jie Zhu Frances Wu William Shi Samuel Scheibler Huimin Cai Ram Vairavan Alexander Shi Weldon Haw Henry Ferreyra Ming Zhang Sherman Chang Kang Zhang 

机构地区：[1]Shiley Eye Institute and Institute for Genomic Medicine,San Diego,CA,USA [2]AutoGenomics Inc.,Vista,CA,USA [3]Department of Ophthalmology and Molecular Medicine Research Center,West China Hospital,Sichuan University,Sichuan,China [4]Guangzhou KangRui Biological Pharmaceutical Technology Company,Guangzhou,China [5]Veterans Administration Healthcare System,San Diego,CA,USA

出　　处：《Signal Transduction and Targeted Therapy》2016年第1期69-74,共6页信号转导与靶向治疗（英文）

基　　金：The study was partially supported by NSFC(81300778,81271020);973 program(2012CB917304);863 Program(2014AA021604);NIH(R01EY024134,R01HG008135,R01EY018660,R01EY021374)and VA Merit Award.

摘　　要：Age-related macular degeneration(AMD)is characterized by complex interactions between genetic and environmental factors.Here we genotyped the selected 25 single-nucleotide polymorphisms(SNPs)in 983 cases with advanced AMD and 271 cases with intermediate AMD and build an AMD life-risk score model for assessment of progression from intermediate to advanced AMD.We analyzed the performance of the prediction model for geographic atrophy progressors or choroidal neovascularization progressors versus non-progressors based on the 25 SNPs plus body mass index and smoking status.Our results suggest that a class prediction algorithm can be used for the risk assessment of progression from intermediate to late AMD stages.The algorithm could also be potentially applied for therapeutic response,and toward personalized care and precision medicine.

关 键 词：DEGENERATION prediction algorithm 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]