Evidence map›Paper›PMID 35101846›Full record

ArticleTuberculosis (Edinburgh, Scotland)2022

Patterns of genomic interrelatedness of publicly available samples in the TB portals database.

Kurt R Wollenberg, Brendan M Jeffrey, Michael A Harris, Andrei Gabrielian, Darrell E Hurt, Alex Rosenthal

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tuberculosis (Edinburgh, Scotland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Kurt R WollenbergOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: kurt.wollenberg@nih.gov.
Brendan M JeffreyOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: brendan.jeffrey@nih.gov.
Michael A HarrisOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: michael.harris2@nih.gov.
Andrei GabrielianOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: gabr@niaid.nih.gov.
Darrell E HurtOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: darrellh@niaid.nih.gov.
Alex RosenthalOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: alexr@niaid.nih.gov.

Funding

Intramural NIH HHS Z99 AI999999
6 · The paper itself

Abstract

The TB Portals program is an international collaboration for the collection and dissemination of tuberculosis data from patient cases focused on drug resistance. The central database is a patient-oriented resource containing both patient and pathogen clinical and genomic information. Herein we provide a summary of the pathogen genomic data available through the TB Portals and show one potential application by examining patterns of genomic pairwise distances. Distributions of pairwise distances highlight overall patterns of genome variability within and between Mycobacterium tuberculosis phylogenomic lineages. Closely related isolates (based on whole-genome pairwise distances and time between sample collection dates) from different countries were identified as potential evidence of international transmission of drug-resistant tuberculosis. These high-level views of genomic relatedness provide information that can stimulate hypotheses for further and more detailed research.

Indexed as

Mycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsDatabases, FactualDrug Resistance, Multiple, BacterialGenomicsHumansMicrobial Sensitivity TestsAntitubercular AgentsExtensively-drug resistantMulti-drug resistantMycobacterium tuberculosis

Identifiers

PMID35101846
PMCPMC8997244

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.