Can network biology unravel the aetiology of congenital hyperinsulinism?

Congenital Hyperinsulinism is a condition with a number of genetic causes, but for the majority of patients, the underlying aetiology is unknown. We present here a rational argument for the use of computational biology as a valuable resource for identifying new candidate genes which may cause diseas...

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Detalles Bibliográficos
Autores principales: Stevens, Adam, Cosgrove, Karen E, Padidela, Raja, Skae, Mars S, Clayton, Peter E, Banerjee, Indraneel, Dunne, Mark J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599136/
https://www.ncbi.nlm.nih.gov/pubmed/23394473
http://dx.doi.org/10.1186/1750-1172-8-21
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author Stevens, Adam
Cosgrove, Karen E
Padidela, Raja
Skae, Mars S
Clayton, Peter E
Banerjee, Indraneel
Dunne, Mark J
author_facet Stevens, Adam
Cosgrove, Karen E
Padidela, Raja
Skae, Mars S
Clayton, Peter E
Banerjee, Indraneel
Dunne, Mark J
author_sort Stevens, Adam
collection PubMed
description Congenital Hyperinsulinism is a condition with a number of genetic causes, but for the majority of patients, the underlying aetiology is unknown. We present here a rational argument for the use of computational biology as a valuable resource for identifying new candidate genes which may cause disease and for understanding the complex mechanisms which define the pathophysiology of this rare disease.
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spelling pubmed-35991362013-03-17 Can network biology unravel the aetiology of congenital hyperinsulinism? Stevens, Adam Cosgrove, Karen E Padidela, Raja Skae, Mars S Clayton, Peter E Banerjee, Indraneel Dunne, Mark J Orphanet J Rare Dis Letter to the Editor Congenital Hyperinsulinism is a condition with a number of genetic causes, but for the majority of patients, the underlying aetiology is unknown. We present here a rational argument for the use of computational biology as a valuable resource for identifying new candidate genes which may cause disease and for understanding the complex mechanisms which define the pathophysiology of this rare disease. BioMed Central 2013-02-08 /pmc/articles/PMC3599136/ /pubmed/23394473 http://dx.doi.org/10.1186/1750-1172-8-21 Text en Copyright ©2013 Stevens 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 Letter to the Editor
Stevens, Adam
Cosgrove, Karen E
Padidela, Raja
Skae, Mars S
Clayton, Peter E
Banerjee, Indraneel
Dunne, Mark J
Can network biology unravel the aetiology of congenital hyperinsulinism?
title Can network biology unravel the aetiology of congenital hyperinsulinism?
title_full Can network biology unravel the aetiology of congenital hyperinsulinism?
title_fullStr Can network biology unravel the aetiology of congenital hyperinsulinism?
title_full_unstemmed Can network biology unravel the aetiology of congenital hyperinsulinism?
title_short Can network biology unravel the aetiology of congenital hyperinsulinism?
title_sort can network biology unravel the aetiology of congenital hyperinsulinism?
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599136/
https://www.ncbi.nlm.nih.gov/pubmed/23394473
http://dx.doi.org/10.1186/1750-1172-8-21
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