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

Regine Bergholdt, Zenia M. Storling, Kasper Lage, E. Olof Karlberg, Pall I. Olason, Mogens Aalund, Jörn Nerup, Soren Brunak, Christopher T. Workman, Flemming Pociot

Research output: Contribution to journalArticlepeer-review

Abstract

We have developed an integrative analysis method combining genetic interactions, identified using type l 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
DOIs
Publication statusPublished - 2007

Subject classification (UKÄ)

  • Other Clinical Medicine

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