Integrative analysis for finding genes and networks involved in diabetes and other complex diseases

R. Bergholdt, Zenia, Marian Størling, Kasper Lage Hansen, Erik, Olof, Linnart Karlberg, Páll Ísólfur Ólason, M. Aalund, J. Nerup, Søren Brunak, Christopher Workman, F. 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.
    Original languageEnglish
    JournalGenome Biology
    Volume8
    Issue number11
    Pages (from-to)R253
    ISSN1465-6906
    DOIs
    Publication statusPublished - 2007

    Cite this

    Bergholdt, R., Størling, Z. M., Hansen, K. L., Karlberg, E. O. L., Ólason, P. Í., Aalund, M., Nerup, J., Brunak, S., Workman, C., & Pociot, F. (2007). Integrative analysis for finding genes and networks involved in diabetes and other complex diseases. Genome Biology, 8(11), R253. https://doi.org/10.1186/gb-2007-8-11-r253