Author: Oh, J. H.; Tannenbaum, A.; Deasy, J.
Title: Identification of biological correlates associated with respiratory failure in COVID-19 Cord-id: z7r1w4c1 Document date: 2020_9_30
ID: z7r1w4c1
Snippet: Background: Coronavirus disease 2019 (COVID-19) is a global public health concern. Recently, a genome-wide association study (GWAS) was performed with participants recruited from Italy and Spain by an international consortium group. Methods: Summary GWAS statistics for 1610 patients with COVID-19 respiratory failure and 2205 controls were downloaded. In the current study, we analyzed the summary statistics with the information of loci and p-values for 8,582,968 single-nucleotide polymorphisms (S
Document: Background: Coronavirus disease 2019 (COVID-19) is a global public health concern. Recently, a genome-wide association study (GWAS) was performed with participants recruited from Italy and Spain by an international consortium group. Methods: Summary GWAS statistics for 1610 patients with COVID-19 respiratory failure and 2205 controls were downloaded. In the current study, we analyzed the summary statistics with the information of loci and p-values for 8,582,968 single-nucleotide polymorphisms (SNPs), using gene ontology analysis to determine the top biological processes implicated in respiratory failure in COVID-19 patients. Results: We considered the top 708 SNPs, using a p-value cutoff of 5x10-5, which were mapped to the nearest genes, leading to 144 unique genes. The list of genes was input into a curated database to conduct gene ontology and protein-protein interaction (PPI) analyses. The top-ranked biological processes were wound healing, epithelial structure maintenance, muscle system processes, and cardiac-relevant biological processes with a false discovery rate < 0.05. In the PPI analysis, the largest connected network consisted of 8 genes. Through literature search, 7 out of the 8 genes were found to be implicated in both pulmonary and cardiac diseases. Conclusion: Gene ontology and protein-protein interaction analyses identified cardio-pulmonary processes that may partially explain the risk of respiratory failure in COVID-19 patients.
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