Integrative analysis for finding genes and networks involved in diabetes and other complex diseases.
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.
Steno Diabetes Center, Niels Steensensvej 2, DK-2820 Gentofte, Denmark. rber@steno.dk
Regine
R
Bergholdt
Zenia M
ZM
Størling
Kasper
K
Lage
E Olof
EO
Karlberg
Páll I
PI
Olason
Mogens
M
Aalund
Jørn
J
Nerup
Søren
S
Brunak
Christopher T
CT
Workman
Flemming
F
Pociot
D003922:Diabetes Mellitus, Type 1 / Q000235:genetics*; D004843:Epistasis, Genetic; D005819:Genetic Markers; D006680:HLA Antigens / Q000235:genetics; D006801:Humans; D011485:Protein Binding; D011506:Proteins / Q000378:metabolism
D005819:Genetic Markers; D006680:HLA Antigens; D011506:Proteins