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PhenoDB: A New Web-Based Tool for the Collection, Storage, and Analysis of Phenotypic Features

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...

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Detalles Bibliográficos
Autores principales: Hamosh, Ada, Sobreira, Nara, Hoover-Fong, Julie, Sutton, V Reid, Boehm, Corinne, Schiettecatte, François, Valle, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3627299/
https://www.ncbi.nlm.nih.gov/pubmed/23378291
http://dx.doi.org/10.1002/humu.22283
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author Hamosh, Ada
Sobreira, Nara
Hoover-Fong, Julie
Sutton, V Reid
Boehm, Corinne
Schiettecatte, François
Valle, David
author_facet Hamosh, Ada
Sobreira, Nara
Hoover-Fong, Julie
Sutton, V Reid
Boehm, Corinne
Schiettecatte, François
Valle, David
author_sort Hamosh, Ada
collection PubMed
description 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).
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spelling pubmed-36272992013-04-17 PhenoDB: A New Web-Based Tool for the Collection, Storage, and Analysis of Phenotypic Features Hamosh, Ada Sobreira, Nara Hoover-Fong, Julie Sutton, V Reid Boehm, Corinne Schiettecatte, François Valle, David Hum Mutat Research Articles 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). Blackwell Publishing Ltd 2013-04 2013-02-01 /pmc/articles/PMC3627299/ /pubmed/23378291 http://dx.doi.org/10.1002/humu.22283 Text en Copyright © 2013 Wiley Periodicals, Inc., A Wiley Company http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Research Articles
Hamosh, Ada
Sobreira, Nara
Hoover-Fong, Julie
Sutton, V Reid
Boehm, Corinne
Schiettecatte, François
Valle, David
PhenoDB: A New Web-Based Tool for the Collection, Storage, and Analysis of Phenotypic Features
title PhenoDB: A New Web-Based Tool for the Collection, Storage, and Analysis of Phenotypic Features
title_full PhenoDB: A New Web-Based Tool for the Collection, Storage, and Analysis of Phenotypic Features
title_fullStr PhenoDB: A New Web-Based Tool for the Collection, Storage, and Analysis of Phenotypic Features
title_full_unstemmed PhenoDB: A New Web-Based Tool for the Collection, Storage, and Analysis of Phenotypic Features
title_short PhenoDB: A New Web-Based Tool for the Collection, Storage, and Analysis of Phenotypic Features
title_sort phenodb: a new web-based tool for the collection, storage, and analysis of phenotypic features
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3627299/
https://www.ncbi.nlm.nih.gov/pubmed/23378291
http://dx.doi.org/10.1002/humu.22283
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