title: PhenoDB: a new web-based tool for the collection, storage, and analysis of phenotypic features.
abstract: To interpret whole exome/genome sequence data for clinical and research purposes, comprehensive phenotypic information, knowledge of pedigree structure, and results of previous clinical testing are essential. With these requirements in mind and to meet the needs of the Centers for Mendelian Genomics project, we have developed PhenoDB (http://phenodb.net), a secure, Web-based portal for entry, storage, and analysis of phenotypic and other clinical information. The phenotypic features are organized hierarchically according to the major headings and subheadings of the Online Mendelian Inheritance in Man (OMIM®) clinical synopses, with further subdivisions according to structure and function. Every string allows for a free-text entry. All of the approximately 2,900 features use the preferred term from Elements of Morphology and are fully searchable and mapped to the Human Phenotype Ontology and Elements of Morphology. The PhenoDB allows for ascertainment of relevant information from a case in a family or cohort, which is then searchable by family, OMIM number, phenotypic feature, mode of inheritance, genes screened, and so on. The database can also be used to format phenotypic data for submission to dbGaP for appropriately consented individuals. PhenoDB was built using Django, an open source Web development tool, and is freely available through the Johns Hopkins McKusick-Nathans Institute of Genetic Medicine (http://phenodb.net).
authors: McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA. ahamosh@jhmi.edu
authors: Ada
authors: A
authors: Hamosh
authors: Nara
authors: N
authors: Sobreira
authors: Julie
authors: J
authors: Hoover-Fong
authors: V Reid
authors: VR
authors: Sutton
authors: Corinne
authors: C
authors: Boehm
authors: François
authors: F
authors: Schiettecatte
authors: David
authors: D
authors: Valle
mesh_terms: D016208:Databases, Factual; D023281:Genomics / Q000379:methods; D006801:Humans; D020407:Internet; D008490:Medical Informatics / Q000379:methods; D010641:Phenotype; D012984:Software
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