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Host methylation predicts SARS-CoV-2 infection and clinical outcome.
Konigsberg, Iain R; Barnes, Bret; Campbell, Monica; Davidson, Elizabeth; Zhen, Yingfei; Pallisard, Olivia; Boorgula, Meher Preethi; Cox, Corey; Nandy, Debmalya; Seal, Souvik; Crooks, Kristy; Sticca, Evan; Harrison, Genelle F; Hopkinson, Andrew; Vest, Alexis; Arnold, Cosby G; Kahn, Michael G; Kao, David P; Peterson, Brett R; Wicks, Stephen J; Ghosh, Debashis; Horvath, Steve; Zhou, Wanding; Mathias, Rasika A; Norman, Paul J; Porecha, Rishi; Yang, Ivana V; Gignoux, Christopher R; Monte, Andrew A; Taye, Alem; Barnes, Kathleen C.
Afiliación
  • Konigsberg IR; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Barnes B; Illumina, Inc., San Diego, CA, USA.
  • Campbell M; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Davidson E; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Zhen Y; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Pallisard O; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Boorgula MP; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Cox C; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Nandy D; Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Seal S; Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Crooks K; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Sticca E; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Harrison GF; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Hopkinson A; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Vest A; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Arnold CG; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Kahn MG; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Kao DP; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Peterson BR; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Wicks SJ; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Ghosh D; Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Horvath S; University of California Los Angeles, Los Angeles, CA, USA.
  • Zhou W; The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Mathias RA; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Norman PJ; Johns Hopkins University, Baltimore, MD, USA.
  • Porecha R; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Yang IV; Illumina, Inc., San Diego, CA, USA.
  • Gignoux CR; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Monte AA; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Taye A; School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Barnes KC; Illumina, Inc., San Diego, CA, USA.
Commun Med (Lond) ; 1(1): 42, 2021 Oct 26.
Article en En | MEDLINE | ID: mdl-36750622
Viral infections affect the body in many ways, including via changes to the epigenome, the sum of chemical modifications to an individual's collection of genes that affect gene activity. Here, we analyzed the epigenome in blood samples from people with and without COVID-19 to determine whether we could find changes consistent with SARS-CoV-2 infection. Using a combination of statistical and machine learning techniques, we identify markers of SARS-CoV-2 infection as well as of severity and progression of COVID-19 disease. These signals of disease progression were present from the initial blood draw when first walking into the hospital. Together, these approaches demonstrate the potential of measuring the epigenome for monitoring SARS-CoV-2 status and severity.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Commun Med (Lond) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Commun Med (Lond) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido