Literature DB >> 20412080

The human phenotype ontology.

P N Robinson1, S Mundlos.   

Abstract

A standardized, controlled vocabulary allows phenotypic information to be described in an unambiguous fashion in medical publications and databases. The Human Phenotype Ontology (HPO) is being developed in an effort to provide such a vocabulary. The use of an ontology to capture phenotypic information allows the use of computational algorithms that exploit semantic similarity between related phenotypic abnormalities to define phenotypic similarity metrics, which can be used to perform database searches for clinical diagnostics or as a basis for incorporating the human phenome into large-scale computational analysis of gene expression patterns and other cellular phenomena associated with human disease. The HPO is freely available at http://www.human-phenotype-ontology.org.

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Year:  2010        PMID: 20412080     DOI: 10.1111/j.1399-0004.2010.01436.x

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  122 in total

1.  Phenotypic information in genomic variant databases enhances clinical care and research: the International Standards for Cytogenomic Arrays Consortium experience.

Authors:  Erin Rooney Riggs; Laird Jackson; David T Miller; Steven Van Vooren
Journal:  Hum Mutat       Date:  2012-03-20       Impact factor: 4.878

Review 2.  Closing the 'phenotype gap' in precision medicine: improving what we measure to understand complex disease mechanisms.

Authors:  Calum A MacRae
Journal:  Mamm Genome       Date:  2019-08-19       Impact factor: 2.957

Review 3.  The ontology of craniofacial development and malformation for translational craniofacial research.

Authors:  J F Brinkley; C Borromeo; M Clarkson; T C Cox; M J Cunningham; L T Detwiler; C L Heike; H Hochheiser; J L V Mejino; R S Travillian; L G Shapiro
Journal:  Am J Med Genet C Semin Med Genet       Date:  2013-10-04       Impact factor: 3.908

4.  Clarity and claims in variation/mutation databasing.

Authors:  Raymond Dalgleish; William S Oetting; Arleen D Auerbach; Jacques S Beckmann; Anne Cambon-Thomsen; Andrew Devereau; Marc S Greenblatt; George P Patrinos; Graham R Taylor; Mauno Vihinen; Anthony J Brookes
Journal:  Nat Biotechnol       Date:  2011-09-08       Impact factor: 54.908

5.  Patterns of coding variation in the complete exomes of three Neandertals.

Authors:  Sergi Castellano; Genís Parra; Federico A Sánchez-Quinto; Fernando Racimo; Martin Kuhlwilm; Martin Kircher; Susanna Sawyer; Qiaomei Fu; Anja Heinze; Birgit Nickel; Jesse Dabney; Michael Siebauer; Louise White; Hernán A Burbano; Gabriel Renaud; Udo Stenzel; Carles Lalueza-Fox; Marco de la Rasilla; Antonio Rosas; Pavao Rudan; Dejana Brajković; Željko Kucan; Ivan Gušic; Michael V Shunkov; Anatoli P Derevianko; Bence Viola; Matthias Meyer; Janet Kelso; Aida M Andrés; Svante Pääbo
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-21       Impact factor: 11.205

6.  Phenolyzer: phenotype-based prioritization of candidate genes for human diseases.

Authors:  Hui Yang; Peter N Robinson; Kai Wang
Journal:  Nat Methods       Date:  2015-07-20       Impact factor: 28.547

7.  GenomeConnect: matchmaking between patients, clinical laboratories, and researchers to improve genomic knowledge.

Authors:  Brianne E Kirkpatrick; Erin Rooney Riggs; Danielle R Azzariti; Vanessa Rangel Miller; David H Ledbetter; David T Miller; Heidi Rehm; Christa Lese Martin; W Andrew Faucett
Journal:  Hum Mutat       Date:  2015-08-06       Impact factor: 4.878

8.  EHR Big Data Deep Phenotyping. Contribution of the IMIA Genomic Medicine Working Group.

Authors:  L J Frey; L Lenert; G Lopez-Campos
Journal:  Yearb Med Inform       Date:  2014-08-15

9.  Diagnostic interpretation of array data using public databases and internet sources.

Authors:  Nicole de Leeuw; Trijnie Dijkhuizen; Jayne Y Hehir-Kwa; Nigel P Carter; Lars Feuk; Helen V Firth; Robert M Kuhn; David H Ledbetter; Christa Lese Martin; Conny M A van Ravenswaaij-Arts; Steven W Scherer; Soheil Shams; Steven Van Vooren; Rolf Sijmons; Morris Swertz; Ros Hastings
Journal:  Hum Mutat       Date:  2012-06       Impact factor: 4.878

10.  A standard variation file format for human genome sequences.

Authors:  Martin G Reese; Barry Moore; Colin Batchelor; Fidel Salas; Fiona Cunningham; Gabor T Marth; Lincoln Stein; Paul Flicek; Mark Yandell; Karen Eilbeck
Journal:  Genome Biol       Date:  2010-08-26       Impact factor: 13.583

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