Evidence map›Paper›PMID 34527285›Full record

ArticleVirus evolution2021

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool.

Áine O'Toole, Emily Scher, Anthony Underwood, Ben Jackson, Verity Hill, John T McCrone, Rachel Colquhoun, Chris Ruis, Khalil Abu-Dahab, Ben Taylor and 9 more

Abstract read
In one paragraph

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 768 papers.

0numbers the graph read from it
0cells of the map it votes in
768citing 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

768 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Artificial Intelligence in Infectious Diseases and Clinical Microbiology.Infectious diseases & clinical microbiology · 2026
    Review
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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  19. Article
  20. Life (Basel, Switzerland) · 2026
    Article

708 more citing papers are in PubMed but not listed here.

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

19 authors.

Áine O'TooleInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0001-8083-474X
Emily ScherInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0002-5401-5879
Anthony UnderwoodThe Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, Oxfordshire OX3 7LF, UK.
Ben JacksonInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0002-9981-0649
Verity HillInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0002-3509-8146
John T McCroneInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93FL, UK.
Rachel ColquhounInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0002-5577-9897
Chris RuisDepartment of Medicine, University of Cambridge, Cambridge CB2 0SP, UK.
Khalil Abu-DahabThe Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, Oxfordshire OX3 7LF, UK.
Ben TaylorThe Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, Oxfordshire OX3 7LF, UK.
Corin YeatsThe Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, Oxfordshire OX3 7LF, UK.ORCID https://orcid.org/0000-0003-0080-6242
Louis du PlessisDepartment of Zoology, University of Oxford, Oxford, Oxfordshire OX1 3SZ, UK.
Daniel MaloneyInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93FL, UK.
Nathan MeddInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0001-7833-5909
Stephen W AttwoodDepartment of Zoology, University of Oxford, Oxford, Oxfordshire OX1 3SZ, UK.ORCID https://orcid.org/0000-0003-1717-1677
David M AanensenThe Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, Oxfordshire OX3 7LF, UK.
Edward C HolmesSchool of Life and Environmental Sciences and School of Medical Sciences, University of Sydney, Sydney, NSW 2006, Australia.ORCID https://orcid.org/0000-0001-9596-3552
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford, Oxfordshire OX1 3SZ, UK.ORCID https://orcid.org/0000-0002-8797-2667
Andrew RambautInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0003-4337-3707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The response of the global virus genomics community to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been unprecedented, with significant advances made towards the 'real-time' generation and sharing of SARS-CoV-2 genomic data. The rapid growth in virus genome data production has necessitated the development of new analytical methods that can deal with orders of magnitude of more genomes than previously available. Here, we present and describe Phylogenetic Assignment of Named Global Outbreak Lineages (pangolin), a computational tool that has been developed to assign the most likely lineage to a given SARS-CoV-2 genome sequence according to the Pango dynamic lineage nomenclature scheme. To date, nearly two million virus genomes have been submitted to the web-application implementation of pangolin, which has facilitated the SARS-CoV-2 genomic epidemiology and provided researchers with access to actionable information about the pandemic's transmission lineages.

Indexed as

genomic surveillancelineagephylogeneticsSARS-CoV-2software

Identifiers

PMID34527285
PMCPMC8344591

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.