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Phexpo: a package for bidirectional enrichment analysis of phenotypes and chemicals
Phenotypes are the result of the complex interplay between environmental and genetic factors. To better understand the interactions between chemical compounds and human phenotypes, and further exposome research we have developed “phexpo,” a tool to perform and explore bidirectional chemical and phen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382647/ https://www.ncbi.nlm.nih.gov/pubmed/32734156 http://dx.doi.org/10.1093/jamiaopen/ooaa023 |
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author | Hawthorne, Christopher Simpson, David A Devereux, Barry López-Campos, Guillermo |
author_facet | Hawthorne, Christopher Simpson, David A Devereux, Barry López-Campos, Guillermo |
author_sort | Hawthorne, Christopher |
collection | PubMed |
description | Phenotypes are the result of the complex interplay between environmental and genetic factors. To better understand the interactions between chemical compounds and human phenotypes, and further exposome research we have developed “phexpo,” a tool to perform and explore bidirectional chemical and phenotype interactions using enrichment analyses. Phexpo utilizes gene annotations from 2 curated public repositories, the Comparative Toxicogenomics Database and the Human Phenotype Ontology. We have applied phexpo in 3 case studies linking: (1) individual chemicals (a drug, warfarin, and an industrial chemical, chloroform) with phenotypes, (2) individual phenotypes (left ventricular dysfunction) with chemicals, and (3) multiple phenotypes (covering polycystic ovary syndrome) with chemicals. The results of these analyses demonstrated successful identification of relevant chemicals or phenotypes supported by bibliographic references. The phexpo R package (https://github.com/GHLCLab/phexpo) provides a new bidirectional analyses approach covering relationships from chemicals to phenotypes and from phenotypes to chemicals. |
format | Online Article Text |
id | pubmed-7382647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73826472020-07-29 Phexpo: a package for bidirectional enrichment analysis of phenotypes and chemicals Hawthorne, Christopher Simpson, David A Devereux, Barry López-Campos, Guillermo JAMIA Open Application Notes Phenotypes are the result of the complex interplay between environmental and genetic factors. To better understand the interactions between chemical compounds and human phenotypes, and further exposome research we have developed “phexpo,” a tool to perform and explore bidirectional chemical and phenotype interactions using enrichment analyses. Phexpo utilizes gene annotations from 2 curated public repositories, the Comparative Toxicogenomics Database and the Human Phenotype Ontology. We have applied phexpo in 3 case studies linking: (1) individual chemicals (a drug, warfarin, and an industrial chemical, chloroform) with phenotypes, (2) individual phenotypes (left ventricular dysfunction) with chemicals, and (3) multiple phenotypes (covering polycystic ovary syndrome) with chemicals. The results of these analyses demonstrated successful identification of relevant chemicals or phenotypes supported by bibliographic references. The phexpo R package (https://github.com/GHLCLab/phexpo) provides a new bidirectional analyses approach covering relationships from chemicals to phenotypes and from phenotypes to chemicals. Oxford University Press 2020-07-06 /pmc/articles/PMC7382647/ /pubmed/32734156 http://dx.doi.org/10.1093/jamiaopen/ooaa023 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. 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 | Application Notes Hawthorne, Christopher Simpson, David A Devereux, Barry López-Campos, Guillermo Phexpo: a package for bidirectional enrichment analysis of phenotypes and chemicals |
title | Phexpo: a package for bidirectional enrichment analysis of phenotypes and chemicals |
title_full | Phexpo: a package for bidirectional enrichment analysis of phenotypes and chemicals |
title_fullStr | Phexpo: a package for bidirectional enrichment analysis of phenotypes and chemicals |
title_full_unstemmed | Phexpo: a package for bidirectional enrichment analysis of phenotypes and chemicals |
title_short | Phexpo: a package for bidirectional enrichment analysis of phenotypes and chemicals |
title_sort | phexpo: a package for bidirectional enrichment analysis of phenotypes and chemicals |
topic | Application Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382647/ https://www.ncbi.nlm.nih.gov/pubmed/32734156 http://dx.doi.org/10.1093/jamiaopen/ooaa023 |
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