Evidence map›Paper›PMID 25732036›Full record

ArticleeLife2015

Large-scale whole genome sequencing of M. tuberculosis provides insights into transmission in a high prevalence area.

J A Guerra-Assunção, A C Crampin, R M G J Houben, T Mzembe, K Mallard, F Coll, P Khan, L Banda, A Chiwaya, R P A Pereira and 5 more

Abstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 4 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

169 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. ClinicalFrontiers in microbiology · 2025
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  17. UShER-TB: Scalable, Comprehensive, Accessible Phylogenomic Analysis ofmedRxiv : the preprint server for health sciences · 2025
    Article
  18. Whole-Genome Sequence-Based Diversity ofPathogens (Basel, Switzerland) · 2025
    Article
  19. Article
  20. Article

109 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

15 authors.

J A Guerra-AssunçãoFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
A C CrampinFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
R M G J HoubenFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
T MzembeKaronga Prevention Study, Malawi, Malawi.
K MallardFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
F CollFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
P KhanFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
L BandaKaronga Prevention Study, Malawi, Malawi.
A ChiwayaKaronga Prevention Study, Malawi, Malawi.
R P A PereiraFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
R McNerneyFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
P E M FineFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
J ParkhillWellcome Trust Sanger Institute, Hinxton, United Kingdom.
T G ClarkFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
J R GlynnFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

Wellcome Trust 096249/Z/11/BWellcome Trust 098610Wellcome Trust 100714Wellcome Trust 101594
6 · The paper itself

Abstract

To improve understanding of the factors influencing tuberculosis transmission and the role of pathogen variation, we sequenced all available specimens from patients diagnosed over 15 years in a whole district in Malawi. Mycobacterium tuberculosis lineages were assigned and transmission networks constructed, allowing ≤10 single nucleotide polymorphisms (SNPs) difference. We defined disease as due to recent infection if the network-determined source was within 5 years, and assessed transmissibility from forward transmissions resulting in disease. High-quality sequences were available for 1687 disease episodes (72% of all culture-positive episodes): 66% of patients linked to at least one other patient. The between-patient mutation rate was 0.26 SNPs/year (95% CI 0.21-0.31). We showed striking differences by lineage in the proportion of disease due to recent transmission and in transmissibility (highest for lineage-2 and lowest for lineage-1) that were not confounded by immigration, HIV status or drug resistance. Transmissions resulting in disease decreased markedly over time.

Indexed as

Genome, BacterialHumansMalawiMutationMycobacterium tuberculosisPhylogenyPolymorphism, Single NucleotidePrevalenceTuberculosisepidemiologyglobal healthMalawitransmissionTuberculosis

Identifiers

PMID25732036
PMCPMC4384740

What OpenQuestion holds

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LicenceCC BY
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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.