用ENDEAVOUR软件鉴定肥胖症致病基因GAD2  

Verification of candidate gene GAD2 for human obesity by ENDEAVOUR

作　　者：张焕萍[1] 张小白[2] 

机构地区：[1]南京林业大学机电学院,江苏南京210037 [2]南京航空航天大学自动化学院生物医学工程系,江苏南京210016

出　　处：《计算机与应用化学》2011年第10期1244-1248,共5页Computers and Applied Chemistry

基　　金：南京林业大学高学历人才基金

摘　　要：鉴别复杂疾病致病基因对于治疗和预防疾病作用非常重要,致病基因预测软件是鉴别致病基因的有效工具。位于染色体10p12的基因GAD2是尚有争议的肥胖基因,许多研究者用实验方法研究基因GAD2,却得出了不一致的结论。基于生物计算的致病基因预测软件能弥补实验的不足,已成为揭示疾病发病机理和预测致病基因的有效途径,本文采用ENDEAVOUR软件来验证基因GAD2是否为肥胖症致病基因,该软件运用多种生物数据,根据每一个候选基因与已知致病基因的相似程度以排序,结果在35个候选基因中,基因GAD2排在最前面,表明基因GAD2最可能是肥胖症致病基因。预测结果有利于重新解释基因GAD2的生物功能,促使肥胖症药物的研制及治疗水平的提高。Disease genes identification is very important for understanding disease pathogenesis and improving clinic treatment. The computational gene prioritization tools have the advantages of huge data sources, efficient data processing and low costs. Many researchers have studied the disputing candidate disease gene GAD2 for obesity on chromosome 10p12 by association studies but obtained contradictory conclusions. In this paper, the probability of gene GAD2 being an obesity disease gene is verified by the computational gene prioritization tool ENDEAVOUR. The prioritization strategies of ENDEAVOUR are based on the similarity between the candidate gene and the profile derived from genes already known to be involved in the processes （the training genes） by genomic data fusion. In the computational results, the first rank of gene GAD2 means that the probability of gene GAD2 being an obesity disease gene is high. The results are helpful to explain the biological mechanism of gene GAD2 and genetic factors of the complex obesity disease.

关 键 词：致病基因 肥胖症 预测软件 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] Q811.4[自动化与计算机技术—计算机科学与技术]