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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
    • NEurotech A/S
    • Lund University
    • Steno Diabetes Centre

    Research output: Contribution to journalJournal articleResearchpeer-review

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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

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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