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White blood cells and severe COVID-19: a Mendelian randomization study
Yitang Sun; Jingqi Zhou; Kaixiong Ye.
Afiliação
  • Yitang Sun; Department of Genetics, University of Georgia, Athens, GA
  • Jingqi Zhou; Department of Genetics, University of Georgia, Athens, GA; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
  • Kaixiong Ye; Department of Genetics, University of Georgia, Athens, GA; Institute of Bioinformatics, University of Georgia, Athens, GA
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20212993
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ABSTRACT
Increasing evidence shows that white blood cells are associated with the risk of coronavirus disease 2019 (COVID-19), but the direction and causality of this association are not clear. To evaluate the causal associations between various white blood cell traits and the COVID-19 susceptibility and severity, we conducted two-sample bidirectional Mendelian Randomization (MR) analyses with summary statistics from the largest and most recent genome-wide association studies. Our MR results indicated causal protective effects of higher basophil count, basophil percentage of white blood cells, and myeloid white blood cell count on severe COVID-19, with odds ratios (OR) per standard deviation increment of 0.75 (95% CI 0.60-0.95), 0.70 (95% CI 0.54-0.92), and 0.85 (95% CI 0.73-0.98), respectively. Neither COVID-19 severity nor susceptibility was associated with white blood cell traits in our reverse MR results. Genetically predicted high basophil count, basophil percentage of white blood cells, and myeloid white blood cell count are associated with a lower risk of developing severe COVID-19. Individuals with a lower genetic capacity for basophils are likely at risk, while enhancing the production of basophils may be an effective therapeutic strategy.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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