Integrative analysis for finding genes and networks involved in diabetes and other complex diseases |
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Authors: | Regine Bergholdt Zenia M Størling Kasper Lage E Olof Karlberg Páll Í Ólason Mogens Aalund Jørn Nerup Søren Brunak Christopher T Workman Flemming Pociot |
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Affiliation: | Regine Bergholdt, Zenia M Størling, Kasper Lage, E Olof Karlberg, Páll Í Ólason, Mogens Aalund, Jørn Nerup, Søren Brunak, Christopher T Workman, and Flemming Pociot |
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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. |
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