title: MouseFinder: Candidate disease genes from mouse phenotype data.
abstract: Mouse phenotype data represents a valuable resource for the identification of disease-associated genes, especially where the molecular basis is unknown and there is no clue to the candidate gene's function, pathway involvement or expression pattern. However, until recently these data have not been systematically used due to difficulties in mapping between clinical features observed in humans and mouse phenotype annotations. Here, we describe a semantic approach to solve this problem and demonstrate highly significant recall of known disease-gene associations and orthology relationships. A Web application (MouseFinder; www.mousemodels.org) has been developed to allow users to search the results of our whole-phenome comparison of human and mouse. We demonstrate its use in identifying ARTN as a strong candidate gene within the 1p34.1-p32 mapped locus for a hereditary form of ptosis.
authors.affiliation: Vertebrate Genomics Team, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
authors.forename: Chao-Kung
authors.initials: CK
authors.lastname: Chen
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: Mungall
authors.forename: Georgios V
authors.initials: GV
authors.lastname: Gkoutos
authors.forename: Sandra C
authors.initials: SC
authors.lastname: Doelken
authors.forename: Sebastian
authors.initials: S
authors.lastname: Köhler
authors.forename: Barbara J
authors.initials: BJ
authors.lastname: Ruef
authors.forename: Cynthia
authors.initials: C
authors.lastname: Smith
authors.forename: Monte
authors.initials: M
authors.lastname: Westerfield
authors.forename: Peter N
authors.initials: PN
authors.lastname: Robinson
authors.forename: Suzanna E
authors.initials: SE
authors.lastname: Lewis
authors.forename: Paul N
authors.initials: PN
authors.lastname: Schofield
authors.forename: Damian
authors.initials: D
authors.lastname: Smedley
mesh_terms: D000818:Animals; D030541:Databases, Genetic; D004194:Disease / Q000235:genetics; D004195:Disease Models, Animal; D056726:Genetic Association Studies; D006801:Humans; D051379:Mice; D058977:Molecular Sequence Annotation; D009154:Mutation; D009862:Online Systems; D010641:Phenotype; D009626:Terminology as Topic