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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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