{"doi":"10.1016/j.jaci.2020.06.001","title":"Association of asthma and its genetic predisposition with the risk of severe COVID-19","abstract":"In individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, the severity of illness ranges from asymptomatic to fatal.1Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention [published online ahead of print February 24, 2020]. JAMA. https://doi.org/10.1001/jama.2020.2648.Google Scholar The Centers for Disease Control and Prevention currently list asthma as a risk factor for severe illness from coronavirus disease 2019 (COVID-19).2Centers for Disease Control and PreventionCoronavirus disease 2019 (COVID-19)—people who are at higher risk for severe illness.https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-at-higher-risk.htmlDate: 2020Date accessed: May 17, 2020Google Scholar This is a logical determination because the non–COVID-19 literature indicates that patients with asthma have increased susceptibility to viral respiratory infections.3Jartti T. Gern J.E. Role of viral infections in the development and exacerbation of asthma in children.J Allergy Clin Immunol. 2017; 140: 895-906Abstract Full Text Full Text PDF PubMed Scopus (304) Google Scholar In addition, case series of patients with COVID-19 have reported that the asthma prevalence is higher4Garg S. Kim L. Whitaker M. O’Halloran A. Cummings C. Holstein R. et al.Hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed coronavirus disease 2019-COVID-NET, 14 states, March 1-30, 2020.MMWR Morb Mortal Wkly Rep. 2020; 69: 458-464Crossref PubMed Scopus (0) Google Scholar or nondifferent5Goyal P. Choi J.J. Pinheiro L.C. Schenck E.J. Chen R. Jabri A. et al.Clinical characteristics of covid-19 in New York City.N Engl J Med. 2020; 382: 2372-2374Crossref PubMed Google Scholar in more severe cases. However, despite the clinical and research importance, no studies have specifically examined the relationship of asthma—let alone of its phenotypes—with incident COVID-19. To address the major knowledge gap, we examined the relationship of asthma and its major phenotypes with the risk of developing severe COVID-19. We also examined the relations of their genetic predisposition with severe COVID-19. The determination of risk factors and potential mechanisms—such as the contribution of genetic predispositions—of severe illness is instrumental for the development of prevention, risk-stratification, and treatment strategies for COVID-19. We analyzed data from the UK Biobank—a population-based prospective cohort study. The details of study design, setting, participants, data measurements, and data analysis are described in this article’s Online Repository at www.jacionline.org. Briefly, the UK Biobank enrolled approximately 500,000 adults (aged 40-69 years at enrollment) in the period 2006 to 2010.6Sudlow C. Gallacher J. Allen N. Beral V. Burton P. Danesh J. et al.Uk biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.PLoS Med. 2015; 12e1001779Crossref PubMed Scopus (2786) Google Scholar Using standardized protocols, the study has collected comprehensive phenotypic data—for example, demographic characteristics, medical history, physical measures (eg, body mass index), performed genome-wide genotyping, and longitudinally measured health outcomes (eg, hospitalizations) through linkages to national data sets.6Sudlow C. Gallacher J. Allen N. Beral V. Burton P. Danesh J. et al.Uk biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.PLoS Med. 2015; 12e1001779Crossref PubMed Scopus (2786) Google Scholar Starting from March 16, 2020, data of laboratory-confirmed COVID-19 hospitalizations—that is, individuals with severe COVID-19—are available in the UK Biobank. In the current analysis, we identified all participants with asthma","journal":"Journal of Allergy and Clinical Immunology","year":2020,"id":49903,"datarank":0.811075765719018,"base_score":5.407171771460119,"endowment":5.407171771460119,"self_citation_contribution":0.811075765719018,"citation_network_contribution":0.0,"self_endowment_contribution":0.811075765719018,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":222,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9644,"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":242824,"name":"Kohei Hasegawa","orcid":"0000-0002-5739-7999","position":1,"is_corresponding":false},{"id":242825,"name":"Baoshan Ma","orcid":"0000-0003-1629-1968","position":2,"is_corresponding":false},{"id":242826,"name":"Michimasa Fujiogi","orcid":"0000-0002-4179-3612","position":3,"is_corresponding":false},{"id":242827,"name":"Carlos A. Camargo","orcid":"0000-0002-5071-7654","position":4,"is_corresponding":false},{"id":35194,"name":"Liming Liang","orcid":"0000-0001-8261-3174","position":5,"is_corresponding":false},{"id":242823,"name":"Zhaozhong Zhu","orcid":"0000-0001-5662-1541","position":0,"is_corresponding":true}],"reference_count":18,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T20:37:28.027635Z","pmid":"32522462","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":[]}