Evidence map›Paper›PMID 24767249›Full record

ArticleBMC genomics2014

Genome-wide Mycobacterium tuberculosis variation (GMTV) database: a new tool for integrating sequence variations and epidemiology.

Ekaterina N Chernyaeva, Marina V Shulgina, Mikhail S Rotkevich, Pavel V Dobrynin, Serguei A Simonov, Egor A Shitikov, Dmitry S Ischenko, Irina Y Karpova, Elena S Kostryukova, Elena N Ilina and 11 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

56 citing papers in PubMed, 88 citations in OpenAlex.

  1. Review
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  7. QuantitativeJournal of clinical microbiology · 2023
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  9. Novel and reported compensatory mutations inFrontiers in microbiology · 2023
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  14. Diversity ofInfection and drug resistance · 2022
    Article
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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

21 authors at 5 institutions in 1 country.

Ekaterina N ChernyaevaSt, Petersburg State University, Theodosius Dobzhansky Center for Genome Bioinformatics, 41 Sredniy prospect, St, Petersburg, Russia. echernya@gmail.com.
Marina V Shulgina
Mikhail S Rotkevich
Pavel V Dobrynin
Serguei A Simonov
Egor A Shitikov
Dmitry S Ischenko
Irina Y Karpova
Elena S Kostryukova
Elena N Ilina
Vadim M Govorun
Vyacheslav Y Zhuravlev
Olga A Manicheva
Peter K Yablonsky
Yulia D Isaeva
Elena Y Nosova
Igor V Mokrousov
Anna A Vyazovaya
Olga V Narvskaya
Alla L Lapidus
Stephen J O'Brien
Research Institute of Physical Chemical Medicine · RUSt Petersburg University · RUSaint-Petersburg Research Institute of Phthisiopulmonology · RUSaint Petersburg Pasteur Institute · RUMoscow Clinical Scientific Center · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) poses a worldwide threat due to advancing multidrug-resistant strains and deadly co-infections with Human immunodeficiency virus. Today large amounts of Mycobacterium tuberculosis whole genome sequencing data are being assessed broadly and yet there exists no comprehensive online resource that connects M. tuberculosis genome variants with geographic origin, with drug resistance or with clinical outcome. DESCRIPTION: Here we describe a broadly inclusive unifying Genome-wide Mycobacterium tuberculosis Variation (GMTV) database, (http://mtb.dobzhanskycenter.org) that catalogues genome variations of M. tuberculosis strains collected across Russia. GMTV contains a broad spectrum of data derived from different sources and related to M. tuberculosis molecular biology, epidemiology, TB clinical outcome, year and place of isolation, drug resistance profiles and displays the variants across the genome using a dedicated genome browser. GMTV database, which includes 1084 genomes and over 69,000 SNP or Indel variants, can be queried about M. tuberculosis genome variation and putative associations with drug resistance, geographical origin, and clinical stages and outcomes.

conclusionsImplementation of GMTV tracks the pattern of changes of M. tuberculosis strains in different geographical areas, facilitates disease gene discoveries associated with drug resistance or different clinical sequelae, and automates comparative genomic analyses among M. tuberculosis strains.

Indexed as

Databases, GeneticGenetic VariationGenome, BacterialHumansMycobacterium tuberculosisTuberculosis

Identifiers

PMID24767249
PMCPMC4234438
OpenAlexW2089462043

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.