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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 i...

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Detalles Bibliográficos
Autores principales: Bergholdt, Regine, Størling, Zenia M, Lage, Kasper, Karlberg, E Olof, Ólason, Páll Í, Aalund, Mogens, Nerup, Jørn, Brunak, Søren, Workman, Christopher T, Pociot, Flemming
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258178/
https://www.ncbi.nlm.nih.gov/pubmed/18045462
http://dx.doi.org/10.1186/gb-2007-8-11-r253
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author Bergholdt, Regine
Størling, Zenia M
Lage, Kasper
Karlberg, E Olof
Ólason, Páll Í
Aalund, Mogens
Nerup, Jørn
Brunak, Søren
Workman, Christopher T
Pociot, Flemming
author_facet Bergholdt, Regine
Størling, Zenia M
Lage, Kasper
Karlberg, E Olof
Ólason, Páll Í
Aalund, Mogens
Nerup, Jørn
Brunak, Søren
Workman, Christopher T
Pociot, Flemming
author_sort Bergholdt, Regine
collection PubMed
description 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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spelling pubmed-22581782008-02-28 Integrative analysis for finding genes and networks involved in diabetes and other complex diseases Bergholdt, Regine Størling, Zenia M Lage, Kasper Karlberg, E Olof Ólason, Páll Í Aalund, Mogens Nerup, Jørn Brunak, Søren Workman, Christopher T Pociot, Flemming Genome Biol Research 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. BioMed Central 2007 2007-11-28 /pmc/articles/PMC2258178/ /pubmed/18045462 http://dx.doi.org/10.1186/gb-2007-8-11-r253 Text en Copyright © 2007 Bergholdt et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Bergholdt, Regine
Størling, Zenia M
Lage, Kasper
Karlberg, E Olof
Ólason, Páll Í
Aalund, Mogens
Nerup, Jørn
Brunak, Søren
Workman, Christopher T
Pociot, Flemming
Integrative analysis for finding genes and networks involved in diabetes and other complex diseases
title Integrative analysis for finding genes and networks involved in diabetes and other complex diseases
title_full Integrative analysis for finding genes and networks involved in diabetes and other complex diseases
title_fullStr Integrative analysis for finding genes and networks involved in diabetes and other complex diseases
title_full_unstemmed Integrative analysis for finding genes and networks involved in diabetes and other complex diseases
title_short Integrative analysis for finding genes and networks involved in diabetes and other complex diseases
title_sort integrative analysis for finding genes and networks involved in diabetes and other complex diseases
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258178/
https://www.ncbi.nlm.nih.gov/pubmed/18045462
http://dx.doi.org/10.1186/gb-2007-8-11-r253
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