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• W3200909209 abstract "Whether risk genes of severe coronavirus disease 2019 (COVID-19) from genome-wide association study could play their regulatory roles by interacting with host genes that were interacted with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) proteins was worthy of exploration. In this study, we implemented a network-based approach by developing a user-friendly software Network Calculator (https://github.com/Haoxiang-Qi/Network-Calculator.git). By using Network Calculator, we identified a network composed of 13 risk genes and 28 SARS-CoV-2 interacted host genes that had the highest network proximity with each other, with a hub gene HNRNPK identified. Among these genes, 14 of them were identified to be differentially expressed in RNA-seq data from severe COVID-19 cases. Besides, by expression enrichment analysis in single-cell RNA-seq data, compared with mild COVID-19, these genes were significantly enriched in macrophage, T cell and epithelial cell for severe COVID-19. Meanwhile, 74 pathways were significantly enriched. Our analysis provided insights for the underlying genetic etiology of severe COVID-19 from the perspective of network biology." @default.
• W3200909209 created "2021-09-27" @default.
• W3200909209 creator A5001780257 @default.
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• W3200909209 date "2021-09-17" @default.
• W3200909209 modified "2023-10-01" @default.
• W3200909209 title "Network-based analysis revealed significant interactions between risk genes of severe COVID-19 and host genes interacted with SARS-CoV-2 proteins" @default.
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• W3200909209 doi "https://doi.org/10.1093/bib/bbab372" @default.
• W3200909209 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34535795" @default.
• W3200909209 hasPublicationYear "2021" @default.
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