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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2013
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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). |
format | Online Article Text |
id | pubmed-3627299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
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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