Evidence map›Paper›PMID 38987406›Full record

ArticleScientific reports2024

Early mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants in Chile.

Karen Y Oróstica, Sebastian B Mohr, Jonas Dehning, Simon Bauer, David Medina-Ortiz, Emil N Iftekhar, Karen Mujica, Paulo C Covarrubias, Soledad Ulloa, Andrés E Castillo and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Spike protein of SARS-CoV-2 variants: a brief review and practical implications.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
    Review
  5. Review
  6. Article
  7. Has Omicron Changed the Evolution of the Pandemic?JMIR public health and surveillance · 2022
    Article
  8. Describing a landscape we are yet discovering.Advances in statistical analysis : AStA : a journal of the German Statistical Society · 2022
    Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Karen Y Oróstica *Facultad de Medicina, Universidad de Talca, Talca, Chile.
Sebastian B Mohr *Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
Jonas Dehning *Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
Simon BauerMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
David Medina-OrtizDepartamento de Ingeniería en Computación, Universidad de Magallanes, Punta Arenas, Chile.
Emil N IftekharMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
Karen MujicaSub Department of Molecular Genetics, Institute of Public Health of Chile (ISP), Santiago, Chile.
Paulo C CovarrubiasSub Department of Molecular Genetics, Institute of Public Health of Chile (ISP), Santiago, Chile.
Soledad UlloaSub Department of Molecular Genetics, Institute of Public Health of Chile (ISP), Santiago, Chile.
Andrés E CastilloSub Department of Molecular Genetics, Institute of Public Health of Chile (ISP), Santiago, Chile.
Anamaría Daza-SánchezCentre for Biotechnology and Bioengineering, Universidad de Chile, Santiago, Chile.
Ricardo A VerdugoFacultad de Medicina, Universidad de Talca, Talca, Chile.
Jorge FernándezSub Department of Molecular Genetics, Institute of Public Health of Chile (ISP), Santiago, Chile.
Álvaro Olivera-NappaCentre for Biotechnology and Bioengineering, Universidad de Chile, Santiago, Chile.
Viola PriesemannMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
Seba Contreras *Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany. seba.contreras@ds.mpg.de.

Funding

Agencia Nacional de Investigación y Desarrollo COVID0557Agencia Nacional de Investigación y Desarrollo Fondecyt Iniciación 11230208Agencia Nacional de Investigación y Desarrollo PIA-FB0001Bundesministerium für Bildung und Forschung infoXpand (031L0300A)Bundesministerium für Bildung und Forschung RESPINOW (031L0298)Deutsche Forschungsgemeinschaft Germany's Excellence Strategy-EXC 2067/1-390729940 (MBExC)Netzwerk Universitätsmedizin 01KX2021
6 · The paper itself

Abstract

Genomic surveillance (GS) programmes were crucial in identifying and quantifying the mutating patterns of SARS-CoV-2 during the COVID-19 pandemic. In this work, we develop a Bayesian framework to quantify the relative transmissibility of different variants tailored for regions with limited GS. We use it to study the relative transmissibility of SARS-CoV-2 variants in Chile. Among the 3443 SARS-CoV-2 genomes collected between January and June 2021, where sampling was designed to be representative, the Gamma (P.1), Lambda (C.37), Alpha (B.1.1.7), B.1.1.348, and B.1.1 lineages were predominant. We found that Lambda and Gamma variants' reproduction numbers were 5% (95% CI: [1%, 14%]) and 16% (95% CI: [11%, 21%]) larger than Alpha's, respectively. Besides, we observed a systematic mutation enrichment in the Spike gene for all circulating variants, which strongly correlated with variants' transmissibility during the studied period (r = 0.93, p-value = 0.025). We also characterised the mutational signatures of local samples and their evolution over time and with the progress of vaccination, comparing them with those of samples collected in other regions worldwide. Altogether, our work provides a reliable method for quantifying variant transmissibility under subsampling and emphasises the importance of continuous genomic surveillance.

Indexed as

Bayes TheoremCOVID-19MutationSARS-CoV-2ChileGenome, ViralHumansSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirus

Identifiers

PMID38987406
PMCPMC11237036

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.