Integrative analysis for finding genes and networks involved in diabetes and other complex diseases
Research output: Contribution to journal › Journal article › Research › peer-review
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 (Online Edition) |
Volume | 8 |
Issue number | 11 |
Pages (from-to) | R253 |
ISSN | 1474-7596 |
DOIs | |
Publication status | Published - 2007 |
- Diabetes Mellitus, Type 1, Epistasis, Genetic, Genetic Markers, HLA Antigens, Humans, Protein Binding, Proteins
Research areas
ID: 40804652