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Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity.
Brown, Kathleen LaRow; Ramlall, Vijendra; Zietz, Michael; Gisladottir, Undina; Tatonetti, Nicholas P.
Afiliação
  • Brown KL; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Ramlall V; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Zietz M; Department of Physiology & Cellular Biophysics, Columbia University, New York, NY, USA.
  • Gisladottir U; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Tatonetti NP; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Nat Commun ; 15(1): 367, 2024 Jan 08.
Article em En | MEDLINE | ID: mdl-38191623
ABSTRACT
SARS-CoV-2 has infected over 340 million people, prompting therapeutic research. While genetic studies can highlight potential drug targets, understanding the heritability of SARS-CoV-2 susceptibility and COVID-19 severity can contextualize their results. To date, loci from meta-analyses explain 1.2% and 5.8% of variation in susceptibility and severity respectively. Here we estimate the importance of shared environment and additive genetic variation to SARS-CoV-2 susceptibility and COVID-19 severity using pedigree data, PCR results, and hospitalization information. The relative importance of genetics and shared environment for susceptibility shifted during the study, with heritability ranging from 33% (95% CI 20%-46%) to 70% (95% CI 63%-74%). Heritability was greater for days hospitalized with COVID-19 (41%, 95% CI 33%-57%) compared to shared environment (33%, 95% CI 24%-38%). While our estimates suggest these genetic architectures are not fully understood, the shift in susceptibility estimates highlights the challenge of estimation during a pandemic, given environmental fluctuations and vaccine introduction.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2024 Tipo de documento: Article