Evidence map›Paper›PMID 23266261›Full record

ReviewTuberculosis (Edinburgh, Scotland)2013

Single nucleotide polymorphisms in Mycobacterium tuberculosis and the need for a curated database.

David Stucki, Sebastien Gagneux

Open access · greenAbstract readReview
In one paragraph

Review in Tuberculosis (Edinburgh, Scotland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. High-Throughput Variant Detection Using a Color-Mixing Strategy.The Journal of molecular diagnostics : JMD · 2022
    Article
  5. Article
  6. Complete Genome Sequence of OvineMicroorganisms · 2020
    Article
  7. Identification of gene fusion events inNAR genomics and bioinformatics · 2020
    Article
  8. Cloning and Protein Expression ofBioResearch open access · 2020
    Article
  9. Exploring the usefulness of molecular epidemiology of tuberculosis in Africa: a systematic review.International journal of molecular epidemiology and genetics · 2020
    Review
  10. Review
  11. Editorial: Cellular and Molecular Mechanisms ofFrontiers in cellular and infection microbiology · 2019
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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

2 authors at 1 institution in 1 country.

David StuckiSwiss Tropical and Public Health Institute, Basel, Switzerland.
Sebastien Gagneux
Swiss Tropical and Public Health Institute · CH

Funding

Mycobacterium tuberculosis antigen diversityR01AI090928 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ERNST, JOEL D., GAGNEUX, SEBASTIEN · 2010 to 2014
$3.2M
NIAID NIH HHS AI090928NIAID NIH HHS N01 AI070022NIAID NIH HHS R01 AI090928PHS HHS HSN266200700022C
6 · The paper itself

Abstract

Recent advances in DNA sequencing have led to the discovery of thousands of single nucleotide polymorphisms (SNPs) in clinical isolates of Mycobacterium tuberculosis complex (MTBC). This genetic variation has changed our understanding of the differences and phylogenetic relationships between strains. Many of these mutations can serve as phylogenetic markers for strain classification, while others cause drug resistance. Moreover, SNPs can affect the bacterial phenotype in various ways, which may have an impact on the outcome of tuberculosis (TB) infection and disease. Despite the importance of SNPs for our understanding of the diversity of MTBC populations, the research community currently lacks a comprehensive, well-curated and user-friendly database dedicated to SNP data. First attempts to catalogue and annotate SNPs in MTBC have been made, but more work is needed. In this review, we discuss the biological and epidemiological relevance of SNPs in MTBC. We then review some of the analytical challenges involved in processing SNP data, and end with a list of features, which should be included in a new SNP database for MTBC.

Indexed as

Databases, GeneticPolymorphism, Single NucleotideHumansMycobacterium tuberculosisPhylogenyTuberculosis

Identifiers

PMID23266261
PMCPMC3582841
OpenAlexW2002683556

What OpenQuestion holds

Textmetadata
LicenceTDM
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.