ArticleeLife2022
Population-based sequencing of
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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.
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Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
- Complete genomes reveal a refined map of Mycobacterium tuberculosis genetic diversity across evolutionary scales.Nature communications · 2026Article
- Use of reverse dot blot hybridization DNA-array and targeted next-generation sequencing for the detection of drug resistance in patients with tuberculosis: a prospective diagnostic accuracy study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Long-term spatiotemporal evolution of drug-resistant Mycobacterium tuberculosis in China.Nature communications · 2026Article
- Spatio-temporal patterns of tuberculosis revealed by routineThe Lancet regional health. Western Pacific · 2026Article
- Multicentre controlled open randomised clinical trial to assess efficacy and safety of an anti-tuberculosis drug combination based on optimised-dose rifampicin, optimised-dose moxifloxacin and optimised-dose linezolid for TB: the RML-TB trial protocol.BMJ open respiratory research · 2025Article
- First insights into the genetic composition ofJournal of clinical tuberculosis and other mycobacterial diseases · 2025Article
- UShER-TB: Scalable, Comprehensive, Accessible Phylogenomic Analysis ofmedRxiv : the preprint server for health sciences · 2025Article
- Global epidemiology of Mycobacterium tuberculosis lineage 4 insights from Ecuadorian genomic data.Scientific reports · 2025Article
- Molecular typing of Mycobacterium tuberculosis: a review of current methods, databases, softwares, and analytical tools.FEMS microbiology reviews · 2025Review
- A Genome-Focused Investigation Reveals the Emergence of aMicroorganisms · 2024Article
- Melioidosis and Activation from Latency: The "Time Bomb" Has Not Occurred.The American journal of tropical medicine and hygiene · 2024Article
- Sustained transmission over two decades of a previously unrecognised MPT64 negativeThe Lancet regional health. Western Pacific · 2024Article
- Evaluating active leprosy case identification methods in six districts of Nepal.Infectious diseases of poverty · 2023Article
- Epidemiological cluster identification using multiple data sources: an approach using logistic regression.Microbial genomics · 2023Article
- Article
- Gene evolutionary trajectories inProceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
34 authors at 17 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transmission is a driver of tuberculosis (TB) epidemics in high-burden regions, with assumed negligible impact in low-burden areas. However, we still lack a full characterization of transmission dynamics in settings with similar and different burdens. Genomic epidemiology can greatly help to quantify transmission, but the lack of whole genome sequencing population-based studies has hampered its application. Here, we generate a population-based dataset from Valencia region and compare it with available datasets from different TB-burden settings to reveal transmission dynamics heterogeneity and its public health implications. We sequenced the whole genome of 785
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Registered trials
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.