Evidence map›Paper›PMID 40228509›Full record

ArticleThe Lancet. Microbe2025

Integrating genomic and spatial analyses to describe tuberculosis transmission: a scoping review.

Yu Lan, Isabel Rancu, Melanie H Chitwood, Benjamin Sobkowiak, Kate Nyhan, Hsien-Ho Lin, Chieh-Yin Wu, Barun Mathema, Tyler S Brown, Caroline Colijn and 2 more

Abstract readScoping Review
In one paragraph

Article in The Lancet. Microbe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Population structure and spatial distribution ofFrontiers in microbiology · 2026
    Article
  7. Article
  8. 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

12 authors.

Yu LanDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA. Electronic address: yu.lan@yale.edu.
Isabel RancuDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Melanie H ChitwoodDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Benjamin SobkowiakDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Kate NyhanHarvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, CT, USA; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Hsien-Ho LinInstitute of Epidemiology and Preventive Medicine, National Taiwan University College of Public Health, Taipei, Taiwan.
Chieh-Yin WuInstitute of Epidemiology and Preventive Medicine, National Taiwan University College of Public Health, Taipei, Taiwan.
Barun MathemaMailman School of Public Health, Columbia University, New York City, NY, USA.
Tyler S BrownSection of Infectious Diseases, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Caroline ColijnDepartment of Mathematics, Simon Fraser University, Burnaby, BC, Canada.
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA. Electronic address: theodore.cohen@yale.edu.

Funding

Transmission Aerobiology of M. tuberculosis: Genes and Metabolic Pathways That Sustain Mtb Across an Evolutionary BottleneckP01AI159402 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI NATHAN, CARL FRANCIS · 2021 to 2025
$15.8M
Targeting TB transmission hotspots to find undiagnosed TB in South Africa: a genomic, geospatial and modeling study (TARGET- TB)R01AI151173 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATHEMA, BARUN, NAIDOO, KOGIELEUM · 2021 to 2025
$3.4M
Integrating genomic and spatial approaches for targeted control of HIV-associated tuberculosis epidemicsR01AI147854 · NIAID · YALE UNIVERSITY · PI COHEN, THEODORE H, SALOMON, JOSHUA A · 2020 to 2023
$3.1M
Evolution, transmission, and control of drug-resistant tuberculosisR01AI180209 · NIAID · YALE UNIVERSITY · PI Nathan Dale Grubaugh · 2024 to 2026
$2.2M
Geographic origins and dispersal of drug-resistant M. tuberculosis in South Africa: Advancing strategies for early detectionK08AI166125 · NIAID · UNIVERSITY OF COLORADO DENVER · PI BROWN, TYLER STEVEN · 2022 to 2025
$780k
NIAID NIH HHS K08 AI166125NIAID NIH HHS P01 AI159402NIAID NIH HHS R01 AI147854NIAID NIH HHS R01 AI151173NIAID NIH HHS R01 AI180209
6 · The paper itself

Abstract

Tuberculosis remains a leading cause of infection-related mortality, and efforts to reduce its incidence have been hindered by an incomplete understanding of local Mycobacterium tuberculosis transmission dynamics. Advances in pathogen sequencing and spatial analysis have created new opportunities to map M tuberculosis transmission patterns more precisely. In this scoping review, we searched for studies combining pathogen genetics and location data to analyse the spatial patterns of M tuberculosis transmission and identified 142 studies published between 1994 and 2024. Secular changes in genetic methods were observed, with genome sequencing approaches largely replacing lower-resolution genotyping methods since 2020. The included studies addressed four primary research questions: how are tuberculosis cases and M tuberculosis transmission clusters geographically distributed; do spatially concentrated M tuberculosis clusters exist, and where are these areas located; when spatial concentration occurs, what host, pathogen, or environmental factors contribute to these patterns; and do identifiable relationships exist between the spatial proximity of tuberculosis cases and the genetic similarity of the M tuberculosis isolates infecting these individuals? Collectively, in this Review, we examined the available study data, evaluated the analytical requirements for addressing these questions, and discussed opportunities and challenges for future research. We found that the integration of spatial and genomic data can inform a detailed understanding of local M tuberculosis transmission patterns, but improved study designs and new analytical methods to address gaps in sampling completeness and to integrate additional movement data are needed to fully realise the potential of these tools.

Indexed as

GenomicsMycobacterium tuberculosisTuberculosisGenome, BacterialGenotypeHumansSpatial Analysis

Identifiers

PMID40228509
PMCPMC12371702

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.