Evidence map›Paper›PMID 29769016›Full record

ArticleBMC genomics2018

Whole genome sequencing data of 1110 Mycobacterium tuberculosis isolates identifies insertions and deletions associated with drug resistance.

Xi Zeng, Jamie Sui-Lam Kwok, Kevin Yi Yang, Kenneth Siu-Sing Leung, Mai Shi, Zhiyuan Yang, Wing-Cheong Yam, Stephen Kwok-Wing Tsui

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  5. The evolving biology ofFrontiers in cellular and infection microbiology · 2022
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  7. First-line drug resistance profiling ofAMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
  8. 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

8 authors at 2 institutions in 1 country.

Xi ZengSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Jamie Sui-Lam KwokSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Kevin Yi YangSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Kenneth Siu-Sing LeungSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Mai ShiSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Zhiyuan YangSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Wing-Cheong YamDepartment of Microbiology, The University of Hong Kong, Hong Kong SAR, China.
Stephen Kwok-Wing TsuiSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China. kwtsui@cuhk.edu.hk.ORCID http://orcid.org/0000-0003-0686-4259
Chinese University of Hong Kong · HKUniversity of Hong Kong · HK

Funding

Health and Medical Research Fund 09080302Health and Medical Research Fund 11100282Health and Medical Research Fund 13120432
6 · The paper itself

Abstract

backgroundDrug resistance in Mycobacterium tuberculosis (MTB) is one of the major challenges in tuberculosis (TB) treatment. However, known mutations cannot explain all of the cases of resistance and little research has focused on the relationship between insertions / deletions (indels) and drug resistance.

resultsHere, we retrieved whole genome sequencing data of 743 drug-resistant MTB strains and 367 pan-susceptible strains from TB patients from the public domain to identify novel genomic markers of drug resistance. A total of 20 region markers containing genes and intergenic regions (IGRs) with significant statistical correlation with antibiotic resistance were revealed, four of which have been previously reported to be associated with drug resistance. In addition, 83 point markers containing frameshift (FS) mutations and IGR indels were also identified independently based on differences in their incidence rates between drug-sensitive and -resistant strains. Among the 83 point markers, eight indels were detected in known drug-associated genes or IGRs. Furthermore, the overlap between 20 region markers and 83 point markers further indicated their associations with drug resistance. The markers identified were involved in essential bacterial metabolic functions, including cell wall and transmembrane transporter functions. A strong correlation between FS mutations and mutations in DNA repair genes including I21V in alkA, R48G in mutT4 and P2R in nth was also found.

conclusionsThis study identified a set of novel genetic markers with FS mutations and IGR indels associated with MTB drug resistance, which greatly broadens the pool of mutations related to MTB drug resistance. This insight may be important in identifying novel mechanisms of drug resistance in MTB.

Indexed as

INDEL MutationWhole Genome SequencingDNA RepairDrug Resistance, Multiple, BacterialHumansMycobacterium tuberculosisAntibioticsDrug resistanceInsertion and deletionMycobacterium tuberculosis

Identifiers

PMID29769016
PMCPMC5956929
OpenAlexW2807583003

What OpenQuestion holds

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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.