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Curr Opin Genet Dev. 2013 Dec;23(6):611-21. doi: 10.1016/j.gde.2013.10.003. Epub 2013 Nov 14.

Genotype to phenotype via network analysis.

Author information

1
Institute for Genomic Medicine and Department of Medicine, University of California, San Diego, 9500 Gillman Drive, La Jolla, CA 92093, United States.

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.

PMID:
24238873
PMCID:
PMC3866044
DOI:
10.1016/j.gde.2013.10.003
[Indexed for MEDLINE]
Free PMC Article

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