Pathway-based analysis tools for complex diseases: a review

Genomics Proteomics Bioinformatics. 2014 Oct;12(5):210-20. doi: 10.1016/j.gpb.2014.10.002. Epub 2014 Oct 28.

Abstract

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 comprehensive understanding of the molecular mechanisms underlying complex diseases. Extensive studies utilizing 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 pathway-based analysis software and databases is provided. Finally, future directions and challenges for the methodological development and applications of pathway-based analysis techniques are discussed. This review will provide a useful guide to dissect complex diseases.

Keywords: Algorithms; Complex disease; Pathway-based analysis; Software and databases.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Databases, Factual*
  • Disease / genetics*
  • Gene Regulatory Networks*
  • Humans
  • Signal Transduction*
  • Software