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The Comparative Toxicogenomics Database: update 2019
The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is a premier public resource for literature-based, manually curated associations between chemicals, gene products, phenotypes, diseases, and environmental exposures. In this biennial update, we present our new chemical–phenotype modu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323936/ https://www.ncbi.nlm.nih.gov/pubmed/30247620 http://dx.doi.org/10.1093/nar/gky868 |
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author | Davis, Allan Peter Grondin, Cynthia J Johnson, Robin J Sciaky, Daniela McMorran, Roy Wiegers, Jolene Wiegers, Thomas C Mattingly, Carolyn J |
author_facet | Davis, Allan Peter Grondin, Cynthia J Johnson, Robin J Sciaky, Daniela McMorran, Roy Wiegers, Jolene Wiegers, Thomas C Mattingly, Carolyn J |
author_sort | Davis, Allan Peter |
collection | PubMed |
description | The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is a premier public resource for literature-based, manually curated associations between chemicals, gene products, phenotypes, diseases, and environmental exposures. In this biennial update, we present our new chemical–phenotype module that codes chemical-induced effects on phenotypes, curated using controlled vocabularies for chemicals, phenotypes, taxa, and anatomical descriptors; this module provides unique opportunities to explore cellular and system-level phenotypes of the pre-disease state and allows users to construct predictive adverse outcome pathways (linking chemical–gene molecular initiating events with phenotypic key events, diseases, and population-level health outcomes). We also report a 46% increase in CTD manually curated content, which when integrated with other datasets yields more than 38 million toxicogenomic relationships. We describe new querying and display features for our enhanced chemical–exposure science module, providing greater scope of content and utility. As well, we discuss an updated MEDIC disease vocabulary with over 1700 new terms and accession identifiers. To accommodate these increases in data content and functionality, CTD has upgraded its computational infrastructure. These updates continue to improve CTD and help inform new testable hypotheses about the etiology and mechanisms underlying environmentally influenced diseases. |
format | Online Article Text |
id | pubmed-6323936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63239362019-01-10 The Comparative Toxicogenomics Database: update 2019 Davis, Allan Peter Grondin, Cynthia J Johnson, Robin J Sciaky, Daniela McMorran, Roy Wiegers, Jolene Wiegers, Thomas C Mattingly, Carolyn J Nucleic Acids Res Database Issue The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is a premier public resource for literature-based, manually curated associations between chemicals, gene products, phenotypes, diseases, and environmental exposures. In this biennial update, we present our new chemical–phenotype module that codes chemical-induced effects on phenotypes, curated using controlled vocabularies for chemicals, phenotypes, taxa, and anatomical descriptors; this module provides unique opportunities to explore cellular and system-level phenotypes of the pre-disease state and allows users to construct predictive adverse outcome pathways (linking chemical–gene molecular initiating events with phenotypic key events, diseases, and population-level health outcomes). We also report a 46% increase in CTD manually curated content, which when integrated with other datasets yields more than 38 million toxicogenomic relationships. We describe new querying and display features for our enhanced chemical–exposure science module, providing greater scope of content and utility. As well, we discuss an updated MEDIC disease vocabulary with over 1700 new terms and accession identifiers. To accommodate these increases in data content and functionality, CTD has upgraded its computational infrastructure. These updates continue to improve CTD and help inform new testable hypotheses about the etiology and mechanisms underlying environmentally influenced diseases. Oxford University Press 2019-01-08 2018-09-24 /pmc/articles/PMC6323936/ /pubmed/30247620 http://dx.doi.org/10.1093/nar/gky868 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Davis, Allan Peter Grondin, Cynthia J Johnson, Robin J Sciaky, Daniela McMorran, Roy Wiegers, Jolene Wiegers, Thomas C Mattingly, Carolyn J The Comparative Toxicogenomics Database: update 2019 |
title | The Comparative Toxicogenomics Database: update 2019 |
title_full | The Comparative Toxicogenomics Database: update 2019 |
title_fullStr | The Comparative Toxicogenomics Database: update 2019 |
title_full_unstemmed | The Comparative Toxicogenomics Database: update 2019 |
title_short | The Comparative Toxicogenomics Database: update 2019 |
title_sort | comparative toxicogenomics database: update 2019 |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323936/ https://www.ncbi.nlm.nih.gov/pubmed/30247620 http://dx.doi.org/10.1093/nar/gky868 |
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