| Literature DB >> 18950739 |
Peter N Robinson1, Sebastian Köhler, Sebastian Bauer, Dominik Seelow, Denise Horn, Stefan Mundlos.
Abstract
There are many thousands of hereditary diseases in humans, each of which has a specific combination of phenotypic features, but computational analysis of phenotypic data has been hampered by lack of adequate computational data structures. Therefore, we have developed a Human Phenotype Ontology (HPO) with over 8000 terms representing individual phenotypic anomalies and have annotated all clinical entries in Online Mendelian Inheritance in Man with the terms of the HPO. We show that the HPO is able to capture phenotypic similarities between diseases in a useful and highly significant fashion.Entities:
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Year: 2008 PMID: 18950739 PMCID: PMC2668030 DOI: 10.1016/j.ajhg.2008.09.017
Source DB: PubMed Journal: Am J Hum Genet ISSN: 0002-9297 Impact factor: 11.025