Integrated Analysis of the 2022 SARS-CoV-2 Omicron Lineage Replacement Dynamics in Connecticut, US

Integrated Analysis of the 2022 SARS-CoV-2 Omicron Lineage Replacement Dynamics in Connecticut, US

In 2022, consecutive sweeps of highly transmissible SARS-CoV-2 Omicron-derived lineages (B.1.1.529*) maintained viral transmission despite extensive antigen exposure from both vaccinations and infections. To better understand Omicron variant emergence in the context of the dynamic fitness landscape...

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Main Authors: Nicholas F. G. Chen, Kien Pham, Chrispin Chaguza, Rafael Lopes, Fayette Klaassen, Chaney C. Kalinich, Yale SARS-CoV-2 Genomic Surveillance Initiative, Nicholas Kerantzas, Sameer Pandya, David Ferguson, Wade Schulz, Daniel M. Weinberger, Virginia E. Pitzer, Joshua L. Warren, Nathan D. Grubaugh, Anne M. Hahn
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Viruses
Subjects:
variant fitness
Genomic surveillance
viral evolution
Online Access:https://www.mdpi.com/1999-4915/17/7/1020
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Summary:In 2022, consecutive sweeps of highly transmissible SARS-CoV-2 Omicron-derived lineages (B.1.1.529*) maintained viral transmission despite extensive antigen exposure from both vaccinations and infections. To better understand Omicron variant emergence in the context of the dynamic fitness landscape of 2022, we aimed to explore putative drivers behind SARS-CoV-2 lineage replacements. Variant fitness is determined through its ability to either outrun previously dominant lineages or more efficiently circumvent host immune responses to previous infections and vaccinations. By analyzing data collected through our local genomic surveillance program from Connecticut, USA, we compared emerging Omicron lineages’ growth rates, estimated infections, effective reproductive rates, average viral copy numbers, and likelihood for causing infections in recently vaccinated individuals. We find that newly emerging Omicron lineages outcompeted dominant lineages through a combination of enhanced viral shedding or advanced immune escape depending on the population-level exposure state. This analysis integrates individual-level sequencing data with demographic, vaccination, laboratory, and epidemiological data and provides further insights into host–pathogen dynamics beyond public aggregate data.
ISSN:1999-4915

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