Pathway-based Analysis Tools for Complex Diseases: A Review  

作　　者：Lv Jin Xiao-Yu Zuo Wei-Yang Su Xiao-Lei Zhao Man-Qiong Yuan Li-Zhen Han Xiang Zhao Ye-Da Chen Shao-Qi Rao 

机构地区：[1]Institute for Medical Systems Biology, and Department of Medical Statistics and Epidemiology, School of Public Health,Guangdong Medical College [2]Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University [3]Community Health Service Management Center of Panyu District [4]Department of Statistical Sciences, School of Mathematics and Computational Science, Sun Yat-Sen University

出　　处：《Genomics, Proteomics & Bioinformatics》2014年第5期210-220,共11页基因组蛋白质组与生物信息学报（英文版）

基　　金：supported in part by the National Natural Science Foundation of China (Grant Nos. 31071166 and 81373085);Natural Science Foundation of Guangdong Province (Grant No. 8251008901000007);Science and Technology Planning Project of Guangdong Province (Grant No. 2009A030301004);Dongguan City Science and Technology Project (Grant No. 2011108101015);the Guangdong Medical College Funds (Grant Nos. JB1214, XG1001, XZ1105 and STIF201122)

摘　　要：Genetic studies are traditionally based on single-gene analysis. The use of these analyses can pose tremendous challenges for elucidating complicated genetic interplays involved in complex human diseases. Modern pathway-based analysis provides a technique, which allows a comprehen- sive understanding of the molecular mechanisms underlying complex diseases. Extensive studies uti- lizing the methods and applications for pathway-based analysis have significantly advanced our capacity to explore large-scale omics data, which has rapidly accumulated in biomedical fields. This article is a comprehensive review of the pathway-based analysis methods the powerful methods with the potential to uncover the biological depths of the complex diseases. The general concepts and procedures for the pathway-based analysis methods are introduced and then, a comprehensive review of the major approaches for this analysis is presented. In addition, a list of available path- way-based analysis software and databases is provided. Finally, future directions and challenges for the methodological development and applications of pathway-based analysis techniques are dis- cussed. This review will provide a useful guide to dissect complex diseases.Genetic studies are traditionally based on single-gene analysis. The use of these analyses can pose tremendous challenges for elucidating complicated genetic interplays involved in complex human diseases. Modern pathway-based analysis provides a technique, which allows a comprehen- sive understanding of the molecular mechanisms underlying complex diseases. Extensive studies uti- lizing the methods and applications for pathway-based analysis have significantly advanced our capacity to explore large-scale omics data, which has rapidly accumulated in biomedical fields. This article is a comprehensive review of the pathway-based analysis methods the powerful methods with the potential to uncover the biological depths of the complex diseases. The general concepts and procedures for the pathway-based analysis methods are introduced and then, a comprehensive review of the major approaches for this analysis is presented. In addition, a list of available path- way-based analysis software and databases is provided. Finally, future directions and challenges for the methodological development and applications of pathway-based analysis techniques are dis- cussed. This review will provide a useful guide to dissect complex diseases.

关 键 词：Complex disease Pathway-based analysisAlgorithms Software and databases 

分 类 号：R346[医药卫生—基础医学]