Article
Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
Nucleic acids research - 1 Jan 2006
Tiffin Nicki, Adie Euan, Turner Frances, Brunner Han G, van Driel Marc A, Oti Martin, Lopez-Bigas Nuria, Ouzounis Christos, Perez-Iratxeta Carolina, Andrade-Navarro Miguel A, Adeyemo Adebowale, Patti Mary Elizabeth, Semple Colin A M, Hide Winston
Abstract excerpt
Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most likely candidate disease genes from these gene sets. Here, we review seven independent computational disease gene...
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