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

R. Bergholdt; Zenia, Marian Størling; Kasper Lage Hansen; Erik, Olof, Linnart Karlberg; Páll Ísólfur Ólason; M. Aalund; J. Nerup; Søren Brunak; Christopher Workman; F. Pociot

doi:10.1186/gb-2007-8-11-r253

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

R. Bergholdt, Zenia, Marian Størling, Kasper Lage Hansen, Erik, Olof, Linnart Karlberg, Páll Ísólfur Ólason, M. Aalund, J. Nerup, Søren Brunak, Christopher Workman, F. Pociot

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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.

Original language	English
Journal	Genome Biology
Volume	8
Issue number	11
Pages (from-to)	R253
ISSN	1465-6906
DOIs	https://doi.org/10.1186/gb-2007-8-11-r253
Publication status	Published - 2007

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title = "Integrative analysis for finding genes and networks involved in diabetes and other complex diseases",

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.",

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T1 - Integrative analysis for finding genes and networks involved in diabetes and other complex diseases

AU - Bergholdt, R.

AU - Størling, Zenia, Marian

AU - Hansen, Kasper Lage

AU - Karlberg, Erik, Olof, Linnart

AU - Ólason, Páll Ísólfur

AU - Aalund, M.

AU - Nerup, J.

AU - Brunak, Søren

AU - Workman, Christopher

AU - Pociot, F.

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

U2 - 10.1186/gb-2007-8-11-r253

DO - 10.1186/gb-2007-8-11-r253

M3 - Journal article

C2 - 18045462

SN - 1465-6906

VL - 8

SP - R253

JO - Genome Biology

JF - Genome Biology

IS - 11

ER -

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

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