Activities per year
Abstract
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 utilises gene annotations from two curated public repositories, the Comparative Toxicogenomics Database and the Human Phenotype Ontology. We have applied phexpo in three 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. Phexpo package (https://github.com/GHLCLab/phexpo) provides a new bidirectional analyses approach covering relationships from chemicals to phenotypes and from phenotypes to chemicals.
Original language | English |
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Pages (from-to) | 173-177 |
Number of pages | 5 |
Journal | JAMIA Open |
Volume | 3 |
Issue number | 2 |
DOIs | |
Publication status | Published - 06 Jul 2020 |
Bibliographical note
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association.Keywords
- Exposome
- Phenotype
- Chemicals and drugs
- Computational Biology/methods
- Biological Ontologies
ASJC Scopus subject areas
- Health Informatics
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- 1 Invited talk
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Bioinformatica Traslacional para el estudio del exposoma y la salud
Lopez Campos, G. (Speaker)
21 Apr 2021Activity: Talk or presentation types › Invited talk
Student theses
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Investigation and development of novel exposome informatics methodologies and solutions for the analysis and integration of phenome, genome and exposome data
Hawthorne, C. (Author), Lopez Campos, G. (Supervisor), Simpson, D. (Supervisor) & Devereux, B. (Supervisor), Dec 2023Student thesis: Doctoral Thesis › Doctor of Philosophy