Communications Medicine (Oct 2021)

Host methylation predicts SARS-CoV-2 infection and clinical outcome

  • Iain R. Konigsberg,
  • Bret Barnes,
  • Monica Campbell,
  • Elizabeth Davidson,
  • Yingfei Zhen,
  • Olivia Pallisard,
  • Meher Preethi Boorgula,
  • Corey Cox,
  • Debmalya Nandy,
  • Souvik Seal,
  • Kristy Crooks,
  • Evan Sticca,
  • Genelle F. Harrison,
  • Andrew Hopkinson,
  • Alexis Vest,
  • Cosby G. Arnold,
  • Michael G. Kahn,
  • David P. Kao,
  • Brett R. Peterson,
  • Stephen J. Wicks,
  • Debashis Ghosh,
  • Steve Horvath,
  • Wanding Zhou,
  • Rasika A. Mathias,
  • Paul J. Norman,
  • Rishi Porecha,
  • Ivana V. Yang,
  • Christopher R. Gignoux,
  • Andrew A. Monte,
  • Alem Taye,
  • Kathleen C. Barnes

DOI
https://doi.org/10.1038/s43856-021-00042-y
Journal volume & issue
Vol. 1, no. 1
pp. 1 – 10

Abstract

Read online

Konigsberg et al. profile DNA methylation in blood samples from SARS-CoV-2 cases and controls. The authors use machine learning to classify infected vs. non-infected individuals and predict clinical outcomes related to disease severity.