Abstract
We have developed an integrative analysis method combining genetic interactions, identified using type l 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.
Original language | English |
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Journal | Genome Biology |
Volume | 8 |
Issue number | 11 |
DOIs | |
Publication status | Published - 2007 |
Subject classification (UKÄ)
- Other Clinical Medicine