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Access through your institution Buy or subscribe When several susceptibility loci have been identified for a particular human disease, the authors reasoned that the true disease genes from
each locus are likely to be involved in the same molecular pathway. Therefore, they used publicly available interaction data to create a network for identifying such genes. There were three
steps in this process: building a robust network; showing that genes for the same disease are indeed near neighbours in the network; and testing the predictive power of the network. The
authors constructed their network from databases of known interactions, and also Gene Ontology, microarray and yeast two-hybrid data. They tested their network on interaction data that had
recently become available and found that it successfully predicted the interactions. Next, they showed that the genes from any one disease were closer to each other in the network than would
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PAPERS * Franke, L. et al. Reconstruction of a functional human gene network, with an application for prioritizing potential candidate genes. _Am. J. Hum. Genet._ 25 April 2006 [Epub ahead
of print] Download references Authors * Patrick Goymer View author publications You can also search for this author inPubMed Google Scholar RELATED LINKS RELATED LINKS WEB SITE Prioritizer
web site RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Goymer, P. The benefits of networking. _Nat Rev Genet_ 7, 412–413 (2006).
https://doi.org/10.1038/nrg1876 Download citation * Published: 09 May 2006 * Issue Date: 01 June 2006 * DOI: https://doi.org/10.1038/nrg1876 SHARE THIS ARTICLE Anyone you share the following
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