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

Regine Bergholdt; Zenia M Størling; Kasper Lage; E Olof Karlberg; Páll I Olason; Mogens Aalund; Jørn Nerup; Søren Brunak; Christopher Workman; Flemming Pociot

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

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

Regine Bergholdt, Zenia M Størling, Kasper Lage, E Olof Karlberg, Páll I Olason, Mogens Aalund, Jørn Nerup, Søren Brunak, Christopher Workman, Flemming Pociot

44 Citations (Scopus)

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 (Online Edition)
Volume	8
Issue number	11
Pages (from-to)	R253
ISSN	1474-7596
DOIs	https://doi.org/10.1186/gb-2007-8-11-r253
Publication status	Published - 2007

Keywords

Diabetes Mellitus, Type 1
Epistasis, Genetic
Genetic Markers
HLA Antigens
Humans
Protein Binding
Proteins

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1186/gb-2007-8-11-r253

Cite this

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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, Regine

AU - Størling, Zenia M

AU - Lage, Kasper

AU - Karlberg, E Olof

AU - Olason, Páll I

AU - Aalund, Mogens

AU - Nerup, Jørn

AU - Brunak, Søren

AU - Workman, Christopher

AU - Pociot, Flemming

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.

KW - Diabetes Mellitus, Type 1

KW - Epistasis, Genetic

KW - Genetic Markers

KW - HLA Antigens

KW - Humans

KW - Protein Binding

KW - Proteins

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

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

M3 - Journal article

C2 - 18045462

SN - 1474-7596

VL - 8

SP - R253

JO - Genome Biology (Online Edition)

JF - Genome Biology (Online Edition)

IS - 11

ER -

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

Abstract

Keywords

UN SDGs

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