Evidence map›Paper›PMID 38316930›Full record

ArticleNature microbiology2024

A framework for automated scalable designation of viral pathogen lineages from genomic data.

Jakob McBroome, Adriano de Bernardi Schneider, Cornelius Roemer, Michael T Wolfinger, Angie S Hinrichs, Aine Niamh O'Toole, Christopher Ruis, Yatish Turakhia, Andrew Rambaut, Russell Corbett-Detig

Abstract read
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. A Pandemic-Scale Ancestral Recombination Graph for SARS-CoV-2.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
  10. Real-time, multi-pathogen wastewater genomic surveillance with Freyja 2.medRxiv : the preprint server for health sciences · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Identifying changes in viral fitness using population genetic structure.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. A new lineage nomenclature to aid genomic surveillance of dengue virus.medRxiv : the preprint server for health sciences · 2024
    Article
  19. Article
  20. 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

10 authors.

Jakob McBroomeDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA. jmcbroome@gmail.com.ORCID http://orcid.org/0000-0002-5002-5156
Adriano de Bernardi SchneiderDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Cornelius RoemerBiozentrum, University of Basel, Basel, Switzerland.
Michael T WolfingerDepartment of Theoretical Chemistry, University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0003-0925-5205
Angie S HinrichsGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA.ORCID http://orcid.org/0000-0002-1697-1130
Aine Niamh O'TooleInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-8083-474X
Christopher RuisMolecular Immunity Unit, MRC Laboratory of Molecular Biology, Department of Medicine, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-0977-5534
Yatish TurakhiaDepartment of Electrical and Computer Engineering, University of California San Diego, San Diego, CA, USA.
Andrew RambautInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-4337-3707
Russell Corbett-DetigDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA. rucorbet@ucsc.edu.ORCID http://orcid.org/0000-0001-6535-2478

Funding

Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) I 6440-NCDC BAA 200-2021-11554Wellcome Trust 206298/Z/17/Z
6 · The paper itself

Abstract

Pathogen lineage nomenclature systems are a key component of effective communication and collaboration for researchers and public health workers. Since February 2021, the Pango dynamic lineage nomenclature for SARS-CoV-2 has been sustained by crowdsourced lineage proposals as new isolates were sequenced. This approach is vulnerable to time-critical delays as well as regional and personal bias. Here we developed a simple heuristic approach for dividing phylogenetic trees into lineages, including the prioritization of key mutations or genes. Our implementation is efficient on extremely large phylogenetic trees consisting of millions of sequences and produces similar results to existing manually curated lineage designations when applied to SARS-CoV-2 and other viruses including chikungunya virus, Venezuelan equine encephalitis virus complex and Zika virus. This method offers a simple, automated and consistent approach to pathogen nomenclature that can assist researchers in developing and maintaining phylogeny-based classifications in the face of ever-increasing genomic datasets.

Indexed as

Encephalitis Virus, Venezuelan EquineZika VirusZika Virus InfectionAnimalsBase SequenceGenome, ViralGenomicsHorsesPhylogenySARS-CoV-2

Identifiers

PMID38316930
PMCPMC10847047

What OpenQuestion holds

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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.