Evidence map›Paper›PMID 39615498›Full record

ArticleThe Lancet. Microbe2025

Signatures of transmission in within-host Mycobacterium tuberculosis complex variation: a retrospective genomic epidemiology study.

Katharine S Walter, Ted Cohen, Barun Mathema, Caroline Colijn, Benjamin Sobkowiak, Iñaki Comas, Galo A Goig, Julio Croda, Jason R Andrews

Abstract read
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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Within-host evolution of drug tolerance inJAC-antimicrobial resistance · 2026
    Article
  4. Optimizing culture-free approaches to recover high qualitymedRxiv : the preprint server for health sciences · 2025
    Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Katharine S WalterDivision of Epidemiology, University of Utah, Salt Lake City, UT, USA. Electronic address: katharine.walter@hsc.utah.edu.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Barun MathemaDepartment of Epidemiology, Columbia University Mailman School of Public Health; New York, NY, USA.
Caroline ColijnDepartment of Mathematics, Simon Fraser University, Burnaby, BC, Canada.
Benjamin SobkowiakDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Iñaki ComasInstitute of Biomedicine of Valencia, Valencia, Spain.
Galo A GoigSwiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland.
Julio CrodaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Federal University of Mato Grosso do Sul, Campo Grande, Brazil; Oswaldo Cruz Foundation Mato Grosso do Sul, Campo Grande, Brazil.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
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
Strategies for tuberculosis control in prisonsR01AI130058 · NIAID · STANFORD UNIVERSITY · PI Jason Randolph Andrews, Julio Henrique Rosa Croda · 2017 to 2026
$5.8M
Characterizing infectiousness of subclinical TB and identifying novel early diagnostic strategies for preventing transmissionR01AI149620 · NIAID · STANFORD UNIVERSITY · PI ANDREWS, JASON RANDOLPH, CRODA, JULIO · 2020 to 2023
$617k
Leveraging within-host M. tuberculosis diversity data to enhance transmission inferenceK01AI173385 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Katharine Sassandra Walter · 2023 to 2026
$528k
NCATS NIH HHS UL1 TR001863NIAID NIH HHS K01 AI173385NIAID NIH HHS P01 AI159402NIAID NIH HHS R01 AI130058NIAID NIH HHS R01 AI149620
6 · The paper itself

Abstract

backgroundMycobacterium tuberculosis complex (MTBC) species evolve slowly, so isolates from individuals linked in transmission often have identical or nearly identical genomes, making it difficult to reconstruct transmission chains. Finding additional sources of shared MTBC variation could help overcome this problem. Previous studies have reported MTBC diversity within infected individuals; however, whether within-host variation improves transmission inferences remains unclear. Here, we aimed to quantify within-host MTBC variation and assess whether such information improves transmission inferences.

methodsWe conducted a retrospective genomic epidemiology study in which we reanalysed publicly available sequence data from household transmission studies published in PubMed from database inception until Jan 31, 2024, for which both genomic and epidemiological contact data were available, using household membership as a proxy for transmission linkage. We quantified minority variants (ie, positions with two or more alleles each supported by at least five-fold coverage and with a minor allele frequency of 1% or more) outside of PE and PPE genes, within individual samples and shared across samples. We used receiver operator characteristic (ROC) curves to compare the performance of a general linear model for household membership that included shared minority variants and one that included only fixed genetic differences.

findingsWe identified three MTBC household transmission studies with publicly available whole-genome sequencing data and epidemiological linkages: a household transmission study in Vitória, Brazil (Colangeli et al), a retrospective population-based study of paediatric tuberculosis in British Columbia, Canada (Guthrie et al), and a retrospective population-based study in Oxfordshire, England (Walker et al). We found moderate levels of minority variation present in MTBC sequence data from cultured isolates that varied significantly across studies: mean 168·6 minority variants (95% CI 151·4-185·9) for the Colangeli et al dataset, 5·8 (1·5-10·2) for Guthrie et al (p<0·0001, Wilcoxon rank sum test, vs Colangeli et al), and 7·1 (2·4-11·9) for Walker et al (p<0·0001, Wilcoxon rank sum test, vs Colangeli et al). Isolates from household pairs shared more minority variants than did randomly selected pairs of isolates: mean 97·7 shared minority variants (79·1-116·3) versus 9·8 (8·6-11·0) in Colangeli et al, 0·8 (0·1-1·5) versus 0·2 (0·1-0·2) in Guthrie et al, and 0·7 (0·1-1·3) versus 0·2 (0·2-0·2) in Walker et al (all p<0·0001, Wilcoxon rank sum test). Shared within-host variation was significantly associated with household membership (odds ratio 1·51 [95% CI 1·30-1·71], p<0·0001), for one standard deviation increase in shared minority variants. Models that included shared within-host variation versus models without within-host variation improved the accuracy of predicting household membership in all three studies: area under the ROC curve 0·95 versus 0·92 for the Colangeli et al study, 0·99 versus 0·95 for the Guthrie et al study, and 0·93 versus 0·91 for the Walker et al study.

interpretationWithin-host MTBC variation persists through culture of sputum and could enhance the resolution of transmission inferences. The substantial differences in minority variation recovered across studies highlight the need to optimise approaches to recover and incorporate within-host variation into automated phylogenetic and transmission inference.

fundingNational Institutes of Health.

Indexed as

Genetic VariationMycobacterium tuberculosisTuberculosisFamily CharacteristicsFemaleGene FrequencyGenome, BacterialGenomicsHumansMaleMolecular EpidemiologyRetrospective StudiesWhole Genome Sequencing

Identifiers

PMID39615498
PMCPMC11777664

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.