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 

作者机构：Institute for Medical Systems Biology and Department of Medical Statistics and Epidemiology School of Public HealthGuangdong Medical College Department of Medical Statistics and Epidemiology School of Public Health Sun Yat-Sen University Community Health Service Management Center of Panyu District Department of Statistical Sciences School of Mathematics and Computational Science Sun Yat-Sen University 

出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)

年 卷 期：2014年第12卷第5期

页      面：210-220页

核心收录：

学科分类：1001[医学-基础医学(可授医学、理学学位)] 10[医学] 

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) 

主　　题：Complex disease Pathway-based analysisAlgorithms Software and databases 

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.