Send to

Choose Destination
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

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


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.

[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Elsevier Science Icon for PubMed Central
Loading ...
Support Center