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Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal
The COVID-19 pandemic stemmed a parallel upsurge in the scientific literature about SARS-CoV-2 infection and its health burden. The Rat Genome Database (RGD) created a COVID-19 Disease Portal to leverage information from the scientific literature. In the COVID-19 Portal, gene-disease associations ar...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777590/ https://www.ncbi.nlm.nih.gov/pubmed/36553571 http://dx.doi.org/10.3390/genes13122304 |
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author | Wang, Shur-Jen Brodie, Kent C. De Pons, Jeffrey L. Demos, Wendy M. Gibson, Adam C. Hayman, G. Thomas Hill, Morgan L. Kaldunski, Mary L. Lamers, Logan Laulederkind, Stanley J. F. Nalabolu, Harika S. Thota, Jyothi Thorat, Ketaki Tutaj, Marek A. Tutaj, Monika Vedi, Mahima Zacher, Stacy Smith, Jennifer R. Dwinell, Melinda R. Kwitek, Anne E. |
author_facet | Wang, Shur-Jen Brodie, Kent C. De Pons, Jeffrey L. Demos, Wendy M. Gibson, Adam C. Hayman, G. Thomas Hill, Morgan L. Kaldunski, Mary L. Lamers, Logan Laulederkind, Stanley J. F. Nalabolu, Harika S. Thota, Jyothi Thorat, Ketaki Tutaj, Marek A. Tutaj, Monika Vedi, Mahima Zacher, Stacy Smith, Jennifer R. Dwinell, Melinda R. Kwitek, Anne E. |
author_sort | Wang, Shur-Jen |
collection | PubMed |
description | The COVID-19 pandemic stemmed a parallel upsurge in the scientific literature about SARS-CoV-2 infection and its health burden. The Rat Genome Database (RGD) created a COVID-19 Disease Portal to leverage information from the scientific literature. In the COVID-19 Portal, gene-disease associations are established by manual curation of PubMed literature. The portal contains data for nine ontologies related to COVID-19, an embedded enrichment analysis tool, as well as links to a toolkit. Using these information and tools, we performed analyses on the curated COVID-19 disease genes. As expected, Disease Ontology enrichment analysis showed that the COVID-19 gene set is highly enriched with coronavirus infectious disease and related diseases. However, other less related diseases were also highly enriched, such as liver and rheumatic diseases. Using the comparison heatmap tool, we found nearly 60 percent of the COVID-19 genes were associated with nervous system disease and 40 percent were associated with gastrointestinal disease. Our analysis confirms the role of the immune system in COVID-19 pathogenesis as shown by substantial enrichment of immune system related Gene Ontology terms. The information in RGD’s COVID-19 disease portal can generate new hypotheses to potentiate novel therapies and prevention of acute and long-term complications of COVID-19. |
format | Online Article Text |
id | pubmed-9777590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97775902022-12-23 Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal Wang, Shur-Jen Brodie, Kent C. De Pons, Jeffrey L. Demos, Wendy M. Gibson, Adam C. Hayman, G. Thomas Hill, Morgan L. Kaldunski, Mary L. Lamers, Logan Laulederkind, Stanley J. F. Nalabolu, Harika S. Thota, Jyothi Thorat, Ketaki Tutaj, Marek A. Tutaj, Monika Vedi, Mahima Zacher, Stacy Smith, Jennifer R. Dwinell, Melinda R. Kwitek, Anne E. Genes (Basel) Article The COVID-19 pandemic stemmed a parallel upsurge in the scientific literature about SARS-CoV-2 infection and its health burden. The Rat Genome Database (RGD) created a COVID-19 Disease Portal to leverage information from the scientific literature. In the COVID-19 Portal, gene-disease associations are established by manual curation of PubMed literature. The portal contains data for nine ontologies related to COVID-19, an embedded enrichment analysis tool, as well as links to a toolkit. Using these information and tools, we performed analyses on the curated COVID-19 disease genes. As expected, Disease Ontology enrichment analysis showed that the COVID-19 gene set is highly enriched with coronavirus infectious disease and related diseases. However, other less related diseases were also highly enriched, such as liver and rheumatic diseases. Using the comparison heatmap tool, we found nearly 60 percent of the COVID-19 genes were associated with nervous system disease and 40 percent were associated with gastrointestinal disease. Our analysis confirms the role of the immune system in COVID-19 pathogenesis as shown by substantial enrichment of immune system related Gene Ontology terms. The information in RGD’s COVID-19 disease portal can generate new hypotheses to potentiate novel therapies and prevention of acute and long-term complications of COVID-19. MDPI 2022-12-07 /pmc/articles/PMC9777590/ /pubmed/36553571 http://dx.doi.org/10.3390/genes13122304 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Shur-Jen Brodie, Kent C. De Pons, Jeffrey L. Demos, Wendy M. Gibson, Adam C. Hayman, G. Thomas Hill, Morgan L. Kaldunski, Mary L. Lamers, Logan Laulederkind, Stanley J. F. Nalabolu, Harika S. Thota, Jyothi Thorat, Ketaki Tutaj, Marek A. Tutaj, Monika Vedi, Mahima Zacher, Stacy Smith, Jennifer R. Dwinell, Melinda R. Kwitek, Anne E. Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal |
title | Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal |
title_full | Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal |
title_fullStr | Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal |
title_full_unstemmed | Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal |
title_short | Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal |
title_sort | ontological analysis of coronavirus associated human genes at the covid-19 disease portal |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777590/ https://www.ncbi.nlm.nih.gov/pubmed/36553571 http://dx.doi.org/10.3390/genes13122304 |
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