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Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal.

Authors :
Wang SJ
Brodie KC
De Pons JL
Demos WM
Gibson AC
Hayman GT
Hill ML
Kaldunski ML
Lamers L
Laulederkind SJF
Nalabolu HS
Thota J
Thorat K
Tutaj MA
Tutaj M
Vedi M
Zacher S
Smith JR
Dwinell MR
Kwitek AE
Source :
Genes [Genes (Basel)] 2022 Dec 07; Vol. 13 (12). Date of Electronic Publication: 2022 Dec 07.
Publication Year :
2022

Abstract

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.

Details

Language :
English
ISSN :
2073-4425
Volume :
13
Issue :
12
Database :
MEDLINE
Journal :
Genes
Publication Type :
Academic Journal
Accession number :
36553571
Full Text :
https://doi.org/10.3390/genes13122304