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Genetic examination of hematological parameters in SARS-CoV-2 infection and COVID-19.
Sun, Quan; Rowland, Bryce; Wang, Wanjiang; Miller-Fleming, Tyne W; Cox, Nancy; Graff, Misa; Faucon, Annika; Shuey, Megan M; Blue, Elizabeth E; Auer, Paul; Li, Yun; Sankaran, Vijay G; Reiner, Alexander P; Raffield, Laura M.
Afiliação
  • Sun Q; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Rowland B; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Wang W; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Miller-Fleming TW; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.
  • Cox N; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.
  • Graff M; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Faucon A; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.
  • Shuey MM; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.
  • Blue EE; Department of Medicine, Division of Medical Genetics, University of Washington, Brotman Baty Institute for Precision Medicine, Seattle, WA, United States.
  • Auer P; Division of Biostatistics, Institute for Health and Equity, Cancer Center, Medical College of Wisconsin, Milwaukee, WI, United States.
  • Li Y; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Sankaran VG; Division of Hematology/Oncology, Boston Children's Hospital, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
  • Reiner AP; Department of Epidemiology, University of Washington, Seattle, WA, United States.
  • Raffield LM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States. Electronic address: laura_raffield@unc.edu.
Blood Cells Mol Dis ; 103: 102782, 2023 11.
Article em En | MEDLINE | ID: mdl-37558590
ABSTRACT
People hospitalized with COVID-19 often exhibit altered hematological traits associated with disease prognosis (e.g., lower lymphocyte and platelet counts). We investigated whether inter-individual variability in baseline hematological traits influences risk of acute SARS-CoV-2 infection or progression to severe COVID-19. We report inconsistent associations between blood cell traits with incident SARS-CoV-2 infection and severe COVID-19 in UK Biobank and the Vanderbilt University Medical Center Synthetic Derivative (VUMC SD). Since genetically determined blood cell measures better represent cell abundance across the lifecourse, we also assessed the shared genetic architecture of baseline blood cell traits on COVID-19 related outcomes by Mendelian randomization (MR) analyses. We found significant relationships between COVID-19 severity and mean sphered cell volume after adjusting for multiple testing. However, MR results differed significantly across different freezes of COVID-19 summary statistics and genetic correlation between these traits was modest (0.1), decreasing our confidence in these results. We observed overlapping genetic association signals between other hematological and COVID-19 traits at specific loci such as MAPT and TYK2. In conclusion, we did not find convincing evidence of relationships between the genetic architecture of blood cell traits and either SARS-CoV-2 infection or COVID-19 hospitalization, though we do see evidence of shared signals at specific loci.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos