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

Regine Bergholdt, Zenia M Størling, Kasper Lage, E Olof Karlberg, Páll I Olason, Mogens Aalund, Jørn Nerup, Søren Brunak, Christopher Workman, Flemming Pociot

    44 Citationer (Scopus)

    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.
    OriginalsprogEngelsk
    TidsskriftGenome Biology (Online Edition)
    Vol/bind8
    Udgave nummer11
    Sider (fra-til)R253
    ISSN1474-7596
    DOI
    StatusUdgivet - 2007

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