{"doi":"10.1101/2020.09.29.20204289","title":"Identification of biological correlates associated with respiratory failure in COVID-19","abstract":"Abstract 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 5×10 −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.","journal":"medRxiv","year":2020,"id":122310,"datarank":0.38905192679578265,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.1202880064115744,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.1202880064115744,"corpus_percentile":53.22193857816972,"corpus_rank":6048,"citation_count":5,"citer_count":5,"citers_with_citation_signal":5,"citers_with_endowment":5,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5176,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":268388,"name":"Allen Tannenbaum","orcid":"0000-0002-0567-5256","position":1,"is_corresponding":false},{"id":87007,"name":"Joseph O. Deasy","orcid":"0000-0002-9437-266X","position":2,"is_corresponding":false},{"id":307645,"name":"Jung Hun Oh","orcid":"0000-0001-8791-2755","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":null,"created_at":"2026-07-18T23:14:51.076430Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}