ArticleVirus evolution2021
Decomposing the sources of SARS-CoV-2 fitness variation in the United States.
Article in Virus evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 26 citations in OpenAlex.
- Quantifying the real-world impact of antibiotic use and genetic determinants of resistance on gonococcal dynamics.Nature microbiology · 2026Article
- Review
- Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations.Communications biology · 2025Article
- Article
- Modulation of biophysical properties of nucleocapsid protein in the mutant spectrum of SARS-CoV-2.eLife · 2024Article
- Modulation of Biophysical Properties of Nucleocapsid Protein in the Mutant Spectrum of SARS-CoV-2.bioRxiv : the preprint server for biology · 2024Article
- Article
- Unique SARS-CoV-2 Variants, Tourism Metrics, and B.1.2 Emergence in Early COVID-19 Pandemic: A Correlation Analysis in South Dakota.International journal of environmental research and public health · 2023Article
- Developing an appropriate evolutionary baseline model for the study of SARS-CoV-2 patient samples.PLoS pathogens · 2023Review
- Phylogenetic and phylodynamic approaches to understanding and combating the early SARS-CoV-2 pandemic.Nature reviews. Genetics · 2022Review
- SARS-CoV-2 Transmission and Prevention in the Era of the Delta Variant.Infectious disease clinics of North America · 2022Review
- The first three waves of the Covid-19 pandemic hint at a limited genetic repertoire for SARS-CoV-2.FEMS microbiology reviews · 2022Article
- Evasion of vaccine-induced humoral immunity by emerging sub-variants of SARS-CoV-2.Future microbiology · 2022Article
- Genomic surveillance of SARS-CoV-2 in Puerto Rico reveals emergence of an autochthonous lineage and early detection of variants.Research square · 2022Article
- Genomic surveillance of SARS-CoV-2 in Puerto Rico enabled early detection and tracking of variants.Communications medicine · 2022Article
- Neutralising antibody escape of SARS-CoV-2 spike protein: Risk assessment for antibody-based Covid-19 therapeutics and vaccines.Reviews in medical virology · 2021Review
- Global Geographic and Temporal Analysis of SARS-CoV-2 Haplotypes Normalized by COVID-19 Cases During the Pandemic.Frontiers in microbiology · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The fitness of a pathogen is a composite phenotype determined by many different factors influencing growth rates both within and between hosts. Determining what factors shape fitness at the host population-level is especially challenging because both intrinsic factors like pathogen genetics and extrinsic factors such as host behavior influence between-host transmission potential. This challenge has been highlighted by controversy surrounding the population-level fitness effects of mutations in the SARS-CoV-2 genome and their relative importance when compared against non-genetic factors shaping transmission dynamics. Building upon phylodynamic birth-death models, we develop a new framework to learn how hundreds of genetic and non-genetic factors have shaped the fitness of SARS-CoV-2. We estimate the fitness effects of all amino acid variants and several structural variants that have circulated in the United States between February 2020 and March 2021 from viral phylogenies. We also estimate how much fitness variation among pathogen lineages is attributable to genetic versus non-genetic factors such as spatial heterogeneity in transmission rates. Before September 2020, most fitness variation between lineages can be explained by background spatial heterogeneity in transmission rates across geographic regions. Starting in late 2020, genetic variation in fitness increased dramatically with the emergence of several new lineages including B.1.1.7, B.1.427, B.1.429 and B.1.526. Our analysis also indicates that genetic variants in less well-explored genomic regions outside of Spike may be contributing significantly to overall fitness variation in the viral population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.