Abstract
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.
| Original language | English |
|---|---|
| Journal | Genome Biology |
| Volume | 8 |
| Issue number | 11 |
| Pages (from-to) | R253 |
| ISSN | 1465-6906 |
| DOIs | |
| Publication status | Published - 2007 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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