These authors contributed equally to this work and should be regarded as joint first authors.
Recent approaches to the prioritization of candidate disease genes
Article first published online: 11 JUN 2012
Copyright © 2012 Wiley Periodicals, Inc.
Wiley Interdisciplinary Reviews: Systems Biology and Medicine
Volume 4, Issue 5, pages 429–442, September/October 2012
How to Cite
Doncheva, N. T., Kacprowski, T. and Albrecht, M. (2012), Recent approaches to the prioritization of candidate disease genes. WIREs Syst Biol Med, 4: 429–442. doi: 10.1002/wsbm.1177
- Issue published online: 13 AUG 2012
- Article first published online: 11 JUN 2012
Many efforts are still devoted to the discovery of genes involved with specific phenotypes, in particular, diseases. High-throughput techniques are thus applied frequently to detect dozens or even hundreds of candidate genes. However, the experimental validation of many candidates is often an expensive and time-consuming task. Therefore, a great variety of computational approaches has been developed to support the identification of the most promising candidates for follow-up studies. The biomedical knowledge already available about the disease of interest and related genes is commonly exploited to find new gene–disease associations and to prioritize candidates. In this review, we highlight recent methodological advances in this research field of candidate gene prioritization. We focus on approaches that use network information and integrate heterogeneous data sources. Furthermore, we discuss current benchmarking procedures for evaluating and comparing different prioritization methods. WIREs Syst Biol Med 2012. doi: 10.1002/wsbm.1177
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