Estimating the strength of selection for new SARS-CoV-2 variants

Christiaan H. van Dorp; Emma E. Goldberg; Nick Hengartner; Ruian Ke; Ethan O. Romero-Severson

doi:10.1038/s41467-021-27369-3

Nature Communications (Dec 2021)

Estimating the strength of selection for new SARS-CoV-2 variants

Christiaan H. van Dorp,
Emma E. Goldberg,
Nick Hengartner,
Ruian Ke,
Ethan O. Romero-Severson

Affiliations

Christiaan H. van Dorp: Theoretical Biology and Biophysics (T-6), Los Alamos National Laboratory
Emma E. Goldberg: Theoretical Biology and Biophysics (T-6), Los Alamos National Laboratory
Nick Hengartner: Theoretical Biology and Biophysics (T-6), Los Alamos National Laboratory
Ruian Ke: Theoretical Biology and Biophysics (T-6), Los Alamos National Laboratory
Ethan O. Romero-Severson: Theoretical Biology and Biophysics (T-6), Los Alamos National Laboratory

DOI: https://doi.org/10.1038/s41467-021-27369-3
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 13

Abstract

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Identifying new SARS-CoV-2 genetic variants of concern is important to inform public health strategies, but distinguishing those causing a significant threat is challenging. Here, the authors develop and evaluate two models for assessing the strength of selection for new variants.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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