title: Can network biology unravel the aetiology of congenital hyperinsulinism?
abstract: 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.
authors: Department of Endocrinology, Royal Manchester Children's Hospital, Oxford Road, Manchester M13 9WL, UK.
authors: Adam
authors: A
authors: Stevens
authors: Karen E
authors: KE
authors: Cosgrove
authors: Raja
authors: R
authors: Padidela
authors: Mars S
authors: MS
authors: Skae
authors: Peter E
authors: PE
authors: Clayton
authors: Indraneel
authors: I
authors: Banerjee
authors: Mark J
authors: MJ
authors: Dunne
mesh_terms: D019295:Computational Biology / Q000379:methods*; D044903:Congenital Hyperinsulinism / Q000209:etiology* / Q000235:genetics* / Q000503:physiopathology; D020022:Genetic Predisposition to Disease; D006801:Humans; D009154:Mutation; D011506:Proteins / Q000235:genetics* / Q000378:metabolism
chemical_list: D011506:Proteins
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