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

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

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.

Bibliographic Details
Main Authors:	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
Format:	Article
Language:	English
Published:	Nature Portfolio 2021-10-01
Series:	Communications Medicine
Online Access:	https://doi.org/10.1038/s43856-021-00042-y

Internet

https://doi.org/10.1038/s43856-021-00042-y