Evidence map›Paper›PMID 41840620›Full record

ReviewBMC public health2026

Whole genome sequencing for Mycobacterium tuberculosis in public health responses: a review of current practice and enablers in select low-incidence jurisdictions.

Justin T Denholm, Gerard de Vries, Richard Anthony, Esther Robinson, Matthijs Backx, Ian F Laurenson, Amie-Louise Seagar, Lisa Trieu, Herns Modestil, Jeanne Sullivan Meissner and 6 more

Abstract readReview
In one paragraph

Review in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Justin T DenholmVictorian Tuberculosis Program, 792 Elizabeth Street, Melbourne, 3000, Australia. Justin.denholm@mh.org.au.
Gerard de VriesCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Richard AnthonyCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Esther RobinsonTB Unit and National Mycobacterial Reference Service, United Kingdom Health Security Agency, London, UK.
Matthijs BackxDepartment of Microbiology, University Hospital of Wales, Cardiff, UK.
Ian F LaurensonScottish Mycobacteria Reference Laboratory, Royal Infirmary of Edinburgh, Edinburgh, UK.
Amie-Louise SeagarScottish Mycobacteria Reference Laboratory, Royal Infirmary of Edinburgh, Edinburgh, UK.
Lisa TrieuNew York City Department of Health and Mental Hygiene, New York, USA.
Herns ModestilNew York City Department of Health and Mental Hygiene, New York, USA.
Jeanne Sullivan MeissnerNew York City Department of Health and Mental Hygiene, New York, USA.
Deborah Hee Ling NgNational Tuberculosis Programme, National Centre for Infectious Diseases, Singapore, Singapore.
Jun Yang TayNational Tuberculosis Programme, National Centre for Infectious Diseases, Singapore, Singapore.
Ben J MaraisSydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, Australia.
Vitali SintchenkoNSW Mycobacterium Reference Laboratory, Institute of Clinical Pathology and Medical Research, NSW Health, Sydney, Australia.
Robyn LeeFaculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
Ellen J DonnanSydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile whole-genome sequencing (WGS) of Mycobacterium tuberculosis is increasingly performed, there has been uncertainty about the optimal integration of results into real-time public health practice. This manuscript describes programmatic activities from invited jurisdictions utilising WGS results to guide tuberculosis (TB) public health responses, including the current approaches to genomic data interpretation, engagement with clinical and epidemiological services, and evaluation of public health impact.

methodsJurisdictions performing routine real-time TB WGS and using findings for directing public health activity were identified and approached for inclusion. Participating jurisdictions provided information on current policy and practice through a survey and semi-structured key informant interviews, and additional information was collected through review of publicly available sources. Public health responses were described and classified at micro (individual), meso (population) and macro (policy) levels. Additional information on perceived public health impact and community engagement was also sought.

resultsEight low-incidence jurisdictions from North America, Europe, Asia and Australia were identified, and all participated. All participating jurisdictions employed routine WGS both for genotypic drug susceptibility testing (gDST) and for assessing local transmission dynamics. Programs reported a variety of structures for analysis and dissemination of findings, including the role of multidisciplinary teams for interpretation and systems for interjurisdictional data sharing. Programs used WGS to guide clinical decision-making and outbreak management, including targeted active case finding and contact management, assessment of potential laboratory contamination events, and monitoring of long-term transmission trends. Existing evaluation of WGS was primarily process-driven, with limited evaluation of public health impact, although program performance metrics have been proposed.

conclusionsWGS is increasingly used for TB public health activities, with a variety of systems established for implementation. Future work should refine best-practices in using WGS for optimal public health impact, including strengthening monitoring and evaluation of TB programs, defining consensus benchmarks as key indicators of program performance and considering opportunities for impact in lower-resource settings.

Indexed as

Mycobacterium tuberculosisPublic HealthPublic Health PracticeTuberculosisWhole Genome SequencingHumansIncidenceCluster analysisComputational biologyGenomicsMycobacterium tuberculosisPolicy makingPublic health

Identifiers

PMID41840620
PMCPMC13107881

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LicenceCC BY-NC-ND
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Registered trials

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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.