{"doi":"10.1016/j.imu.2020.100443","title":"Understand variability of COVID-19 through population and tissue variations in expression of SARS-CoV-2 host genes","abstract":"An urgent question of coronavirus disease 2019 (COVID-19) is population variation in susceptibility to SARS-CoV-2 infection and symptom severity. We explore the expression profiles of SARS-CoV-2 host genes, their population variations, associated genetic variants, age- and sex-dependency in normal individuals. SARS-CoV-2 host genes are provisionally defined as the human genes that are experimentally validated or bioinformatically predicted to interact with SARS-CoV-2 proteins. Genes exhibiting most variable expression include ACE2, CLEC4G, CLEC4M, CD209 (interact with the SARS-CoV-2 spike protein); REEP6 (a receptor accessory protein expressed in the olfactory epithelium); SLC27A2 and PKP2 (inhibit virus replication); and PTGS2 (mediates fever response). SNP rs4804803, associated with SARS severity, affects expression of CLEC4G and CD209. Genetic variants of proteases associated with SARS-CoV-2 entry (TMPRSS2, CTSB, and CTSL) are strongly associated with their expression variation, suggesting a genetic contribution to phenotypic variations in multiple organs upon virus attack. The most significant age-dependent gene is ACE2, the cellular receptor of SARS-CoV-2. Others include TGF-β family member GDF15, mediating inflammation, and VKORC1, possibly explaining vitamin K deficiency in COVID-19. TIMM10 and ERGIC1 exhibit significant sex differences. In summary, our results show genetic and multiple biological variables may underlie the population variation in SARS-CoV-2 infection and symptom severity.","journal":"Informatics in Medicine Unlocked","year":2020,"id":98053,"datarank":0.5244761342199721,"base_score":3.4965075614664802,"endowment":3.4965075614664802,"self_citation_contribution":0.5244761342199721,"citation_network_contribution":0.0,"self_endowment_contribution":0.5244761342199721,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":32,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9466,"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":484471,"name":"Sika Zheng","orcid":"0000-0002-0573-4981","position":1,"is_corresponding":false},{"id":484470,"name":"Liang Chen","orcid":"0000-0001-6164-4553","position":0,"is_corresponding":true}],"reference_count":59,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T22:36:34.157932Z","pmid":"33072849","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":[]}