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Disease model curation improvements at Mouse Genome Informatics
Optimal curation of human diseases requires an ontology or structured vocabulary that contains terms familiar to end users, is robust enough to support multiple levels of annotation granularity, is limited to disease terms and is stable enough to avoid extensive reannotation following updates. At Mo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308153/ https://www.ncbi.nlm.nih.gov/pubmed/22434831 http://dx.doi.org/10.1093/database/bar063 |
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author | Bello, Susan M. Richardson, Joel E. Davis, Allan P. Wiegers, Thomas C. Mattingly, Carolyn J. Dolan, Mary E. Smith, Cynthia L. Blake, Judith A. Eppig, Janan T. |
author_facet | Bello, Susan M. Richardson, Joel E. Davis, Allan P. Wiegers, Thomas C. Mattingly, Carolyn J. Dolan, Mary E. Smith, Cynthia L. Blake, Judith A. Eppig, Janan T. |
author_sort | Bello, Susan M. |
collection | PubMed |
description | Optimal curation of human diseases requires an ontology or structured vocabulary that contains terms familiar to end users, is robust enough to support multiple levels of annotation granularity, is limited to disease terms and is stable enough to avoid extensive reannotation following updates. At Mouse Genome Informatics (MGI), we currently use disease terms from Online Mendelian Inheritance in Man (OMIM) to curate mouse models of human disease. While OMIM provides highly detailed disease records that are familiar to many in the medical community, it lacks structure to support multilevel annotation. To improve disease annotation at MGI, we evaluated the merged Medical Subject Headings (MeSH) and OMIM disease vocabulary created by the Comparative Toxicogenomics Database (CTD) project. Overlaying MeSH onto OMIM provides hierarchical access to broad disease terms, a feature missing from the OMIM. We created an extended version of the vocabulary to meet the genetic disease-specific curation needs at MGI. Here we describe our evaluation of the CTD application, the extensions made by MGI and discuss the strengths and weaknesses of this approach. Database URL: http://www.informatics.jax.org/ |
format | Online Article Text |
id | pubmed-3308153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33081532012-03-20 Disease model curation improvements at Mouse Genome Informatics Bello, Susan M. Richardson, Joel E. Davis, Allan P. Wiegers, Thomas C. Mattingly, Carolyn J. Dolan, Mary E. Smith, Cynthia L. Blake, Judith A. Eppig, Janan T. Database (Oxford) Original Articles Optimal curation of human diseases requires an ontology or structured vocabulary that contains terms familiar to end users, is robust enough to support multiple levels of annotation granularity, is limited to disease terms and is stable enough to avoid extensive reannotation following updates. At Mouse Genome Informatics (MGI), we currently use disease terms from Online Mendelian Inheritance in Man (OMIM) to curate mouse models of human disease. While OMIM provides highly detailed disease records that are familiar to many in the medical community, it lacks structure to support multilevel annotation. To improve disease annotation at MGI, we evaluated the merged Medical Subject Headings (MeSH) and OMIM disease vocabulary created by the Comparative Toxicogenomics Database (CTD) project. Overlaying MeSH onto OMIM provides hierarchical access to broad disease terms, a feature missing from the OMIM. We created an extended version of the vocabulary to meet the genetic disease-specific curation needs at MGI. Here we describe our evaluation of the CTD application, the extensions made by MGI and discuss the strengths and weaknesses of this approach. Database URL: http://www.informatics.jax.org/ Oxford University Press 2012-02-13 /pmc/articles/PMC3308153/ /pubmed/22434831 http://dx.doi.org/10.1093/database/bar063 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Bello, Susan M. Richardson, Joel E. Davis, Allan P. Wiegers, Thomas C. Mattingly, Carolyn J. Dolan, Mary E. Smith, Cynthia L. Blake, Judith A. Eppig, Janan T. Disease model curation improvements at Mouse Genome Informatics |
title | Disease model curation improvements at Mouse Genome Informatics |
title_full | Disease model curation improvements at Mouse Genome Informatics |
title_fullStr | Disease model curation improvements at Mouse Genome Informatics |
title_full_unstemmed | Disease model curation improvements at Mouse Genome Informatics |
title_short | Disease model curation improvements at Mouse Genome Informatics |
title_sort | disease model curation improvements at mouse genome informatics |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308153/ https://www.ncbi.nlm.nih.gov/pubmed/22434831 http://dx.doi.org/10.1093/database/bar063 |
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