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

Research output: Contribution to journalArticle

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.

Details

Authors
  • Regine Bergholdt
  • Zenia M. Storling
  • Kasper Lage
  • E. Olof Karlberg
  • Pall I. Olason
  • Mogens Aalund
  • Jörn Nerup
  • Soren Brunak
  • Christopher T. Workman
  • Flemming Pociot
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Other Clinical Medicine
Original languageEnglish
JournalGenome Biology
Volume8
Issue number11
Publication statusPublished - 2007
Publication categoryResearch
Peer-reviewedYes