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.
Bergholdt
Regine
R
Steno Diabetes Center, Niels Steensensvej 2, DK-2820 Gentofte, Denmark. rber@steno.dk
Størling
Zenia M
ZM
Lage
Kasper
K
Karlberg
E Olof
EO
Olason
Páll I
PI
Aalund
Mogens
M
Nerup
Jørn
J
Brunak
Søren
S
Workman
Christopher T
CT
Pociot
Flemming
F
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