Integrative analysis for finding genes and networks involved in diabetes and other complex diseases
- Equal contributors
1 Steno Diabetes Center, Niels Steensensvej 2, DK-2820 Gentofte, Denmark
2 Center for Biological Sequence Analysis, Technical University of Denmark, DK-2800 Lyngby, Denmark
3 Neurotech A/S, DK-2100 Copenhagen, Denmark
4 Institute for Clinical Science, University of Lund, SE-221 00 Lund, Sweden
Genome Biology 2007, 8:R253 doi:10.1186/gb-2007-8-11-r253Published: 28 November 2007
We have developed an integrative analysis method combining genetic interactions, identified using type 1 diabetes genome scan data, and a high-confidence human protein interaction network. Resulting networks were ranked by the significance of the enrichment of proteins from interacting regions. We identified a number of new protein network modules and novel candidate genes/proteins for type 1 diabetes. We propose this type of integrative analysis as a general method for the elucidation of genes and networks involved in diabetes and other complex diseases.