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Genotype to phenotype via network analysis.

Authors
Type
Published Article
Journal
Current Opinion in Genetics & Development
Publisher
Elsevier
Volume
23
Issue
6
Pages
611–621
Identifiers
DOI: 10.1016/j.gde.2013.10.003
Source
Ideker Lab
License
Unknown

Abstract

A prime objective of genomic medicine is the identification of disease-causing mutations and the mechanisms by which such events result in disease. As most disease phenotypes arise not from single genes and proteins but from a complex network of molecular interactions, a priori knowledge about the molecular network serves as a framework for biological inference and data mining. Here we review recent developments at the interface of biological networks and mutation analysis. We examine how mutations may be treated as a perturbation of the molecular interaction network and what insights may be gained from taking this perspective. We review work that aims to transform static networks into rich context-dependent networks and recent attempts to integrate non-coding RNAs into such analysis. Finally, we conclude with an overview of the many challenges and opportunities that lie ahead.

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