Evidence map›Paper›PMID 42816583›Full record

ArticleNature microbiology2026

A generalized lineage nomenclature for viral genomic epidemiology.

Rachel Colquhoun, Angie S Hinrichs, Verity Hill, Christopher Ruis, Cornelius Roemer, Oliver G Pybus, Andrew Rambaut, Áine O'Toole

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Article in Nature microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Rachel ColquhounInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-5577-9897
Angie S HinrichsUniversity of California, Santa Cruz, CA, USA.ORCID http://orcid.org/0000-0002-1697-1130
Verity HillDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
Christopher RuisVictor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-0977-5534
Cornelius RoemerBiozentrum, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-6138-6539
Oliver G PybusRoyal Veterinary College, University of London, London, UK.
Andrew RambautInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-4337-3707
Áine O'TooleInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK. aine.otoole@ed.ac.uk.ORCID http://orcid.org/0000-0001-8083-474X

Funding

Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) G0E1420NWellcome Trust (Wellcome) 206298/Z/17/ZWellcome Trust (Wellcome) 313694/Z/24/Z
6 · The paper itself

Abstract

Pathogen genomics has become increasingly integrated into outbreak response, with recent virus epidemics better characterized by large numbers of viral genetic sequences. Effective international communication of viral diversity requires a scalable, adaptable nomenclature, and existing systems may not accommodate rapid sequence generation. The Pango lineage nomenclature system was designed to address these problems and has been applied to SARS-CoV-2 since early 2020. Here we generalize the underlying principles into a framework for virus surveillance. Lineages are defined as epidemiologically meaningful clusters on a phylogenetic tree, initiated from founding lineages and expanded across a phylogeny through a hierarchical system of alphanumeric sublineage names. Six years on from the inception of the Pango system, we discuss challenges and considerations for implementation. We present a Pango lineage framework for chikungunya virus, providing an alternative to the geography-based clade system and designating 21 lineages across 8 founding lineages. This generalization provides a foundation for future genomic surveillance of many viruses, including for emerging outbreaks and the surveillance of endemic pathogens.

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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.