Estimation of SARS-CoV-2 fitness gains from genomic surveillance data without prior lineage classification.

ABSTRACT: The emergence of SARS-CoV-2 variants with increased fitness has had a strong impact on the epidemiology of COVID-19, with the higher effective reproduction number of the viral variants leading to new epidemic waves. Tracking such variants and their genetic signatures, using data collected through genomic surveillance, is therefore crucial for forecasting likely surges in incidence. Current methods of estimating fitness advantages of variants rely on tracking the changing proportion of a particular lineage over time, but describing successful lineages in a rapidly evolving viral population is a difficult task. We propose a method of estimating fitness gains directly from nucleotide information generated by genomic surveillance, without a priori assigning isolates to lineages from phylogenie

SUBMITTER: Donker T 

PROVIDER: S-EPMC11194495 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature