Integrative Analysis for Finding Genes and Networks Involved in Diabetes and Other Complex Diseases

Genome Biol. 2007;8(11):R253. doi: 10.1186/gb-2007-8-11-r253.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Diabetes Mellitus, Type 1 / genetics*
  • Epistasis, Genetic
  • Genetic Markers
  • HLA Antigens / genetics
  • Humans
  • Protein Binding
  • Proteins / metabolism

Substances

  • Genetic Markers
  • HLA Antigens
  • Proteins