Network propagation: A universal amplifier of genetic associations

Lenore Cowen, Trey Ideker, Benjamin J. Raphael, Roded Sharan

Research output: Contribution to journalReview articlepeer-review

424 Scopus citations

Abstract

Biological networks are powerful resources for the discovery of genes and genetic modules that drive disease. Fundamental to network analysis is the concept that genes underlying the same phenotype tend to interact; this principle can be used to combine and to amplify signals from individual genes. Recently, numerous bioinformatic techniques have been proposed for genetic analysis using networks, based on random walks, information diffusion and electrical resistance. These approaches have been applied successfully to identify disease genes, genetic modules and drug targets. In fact, all these approaches are variations of a unifying mathematical machinery - network propagation - suggesting that it is a powerful data transformation method of broad utility in genetic research.

Original languageEnglish (US)
Pages (from-to)551-562
Number of pages12
JournalNature Reviews Genetics
Volume18
Issue number9
DOIs
StatePublished - Sep 1 2017

All Science Journal Classification (ASJC) codes

  • Genetics(clinical)
  • Genetics
  • Molecular Biology

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