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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Veröffentlicht in:	Orphanet journal of rare diseases 2013-02, Vol.8 (1), p.21-21, Article 21
Hauptverfasser:	Stevens, Adam, Cosgrove, Karen E, Padidela, Raja, Skae, Mars S, Clayton, Peter E, Banerjee, Indraneel, Dunne, Mark J
Format:	Artikel
Sprache:	eng
Schlagworte:	Bioinformatics Biology Computational Biology - methods Congenital Hyperinsulinism - etiology Congenital Hyperinsulinism - genetics Congenital Hyperinsulinism - physiopathology Disease Genetic Predisposition to Disease Genetics Humans Letter to the Editor Life sciences Medical research Metabolites Mutation Ontology Proteins Proteins - genetics Proteins - metabolism Rare diseases
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Beschreibung
Zusammenfassung:	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.
ISSN:	1750-1172 1750-1172
DOI:	10.1186/1750-1172-8-21