Pathway analysis of genomic data: Concepts, methods, and prospects for future development

Vijay K. Ramanan, Li Shen, Jason H. Moore, Andrew J. Saykin

Research output: Contribution to journalReview articlepeer-review

188 Scopus citations

Abstract

Genome-wide data sets are increasingly being used to identify biological pathways and networks underlying complex diseases. In particular, analyzing genomic data through sets defined by functional pathways offers the potential of greater power for discovery and natural connections to biological mechanisms. With the burgeoning availability of next-generation sequencing, this is an opportune moment to revisit strategies for pathway-based analysis of genomic data. Here, we synthesize relevant concepts and extant methodologies to guide investigators in study design and execution. We also highlight ongoing challenges and proposed solutions. As relevant analytical strategies mature, pathways and networks will be ideally placed to integrate data from diverse -omics sources to harness the extensive, rich information related to disease and treatment mechanisms.

Original languageEnglish (US)
Pages (from-to)323-332
Number of pages10
JournalTrends in Genetics
Volume28
Issue number7
DOIs
StatePublished - Jul 1 2012

Keywords

  • Complex diseases
  • Enrichment methods
  • Functional annotation
  • Gene set
  • Genome-wide association study
  • Pathway analysis

ASJC Scopus subject areas

  • Genetics

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