Evidence map›Paper›PMID 30509214›Full record

ArticleBMC infectious diseases2018

Genomic sequencing is required for identification of tuberculosis transmission in Hawaii.

Kent J Koster, Angela Largen, Jeffrey T Foster, Kevin P Drees, Lishi Qian, Ed Desmond, Xuehua Wan, Shaobin Hou, James T Douglas

Abstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. High-Accuracy Long-Read Sequencing ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  6. Article
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  9. Performance evaluation of core genome multilocus sequence typing for genotyping of Mycobacterium tuberculosis strains in China: based on multicenter, population-based collection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  10. Toxin-antitoxin system gene mutations drivingFrontiers in microbiology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. 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

9 authors.

Kent J KosterUniversity of Hawaii at Manoa, Honolulu, HI, USA.
Angela LargenHawaii State Department of Health, Honolulu, HI, USA.
Jeffrey T FosterUniversity of New Hampshire, Durham, NH, USA.
Kevin P DreesUniversity of New Hampshire, Durham, NH, USA.
Lishi QianUniversity of Hawaii at Manoa, Honolulu, HI, USA.
Ed DesmondCalifornia Department of Public Health, Richmond, CA, USA.
Xuehua WanAdvanced Studies in Genomics, Proteomics and Bioinformatics, Honolulu, HI, USA.
Shaobin HouAdvanced Studies in Genomics, Proteomics and Bioinformatics, Honolulu, HI, USA.
James T DouglasUniversity of Hawaii at Manoa, Honolulu, HI, USA. jtd379@gmail.com.ORCID http://orcid.org/0000-0003-4080-2553

Funding

University of Hawai'i at Mānoa general funding
6 · The paper itself

Abstract

backgroundTuberculosis (TB) caused an estimated 1.4 million deaths and 10.4 million new cases globally in 2015. TB rates in the United States continue to steadily decline, yet rates in the State of Hawaii are perennially among the highest in the nation due to a continuous influx of immigrants from the Western Pacific and Asia. TB in Hawaii is composed of a unique distribution of genetic lineages, with the Beijing and Manila families of Mycobacterium tuberculosis (Mtb) comprising over two-thirds of TB cases. Standard fingerprinting methods (spoligotyping plus 24-loci Mycobacterial Interspersed Repetitive Units-Variable Number Tandem Repeats [MIRU-VNTR] fingerprinting) perform poorly when used to identify actual transmission clusters composed of isolates from these two families. Those typing methods typically group isolates from these families into large clusters of non-linked isolates with identical fingerprints. Next-generation whole-genome sequencing (WGS) provides a new tool for molecular epidemiology that can resolve clusters of isolates with identical spoligotyping and MIRU-VNTR fingerprints.

methodsWe performed WGS and SNP analysis and evaluated epidemiological data to investigate 19 apparent TB transmission clusters in Hawaii from 2003 to 2017 in order to assess WGS' ability to resolve putative Mtb clusters from the Beijing and Manila families. This project additionally investigated MIRU-VNTR allele prevalence to determine why standard Mtb fingerprinting fails to usefully distinguish actual transmission clusters from these two Mtb families.

resultsWGS excluded transmission events in seven of these putative clusters, confirmed transmission in eight, and identified both transmission-linked and non-linked isolates in four. For epidemiologically identified clusters, while the sensitivity of MIRU-VNTR fingerprinting for identifying actual transmission clusters was found to be 100%, its specificity was only 28.6% relative to WGS. We identified that the Beijing and Manila families' significantly lower Shannon evenness of MIRU-VNTR allele distributions than lineage 4 was the cause of standard fingerprinting's poor performance when identifying transmission in Beijing and Manila family clusters.

conclusionsThis study demonstrated that WGS is necessary for epidemiological investigation of TB in Hawaii and the Pacific.

Indexed as

AllelesAsiaBacterial Typing TechniquesBeijingCluster AnalysisDiagnostic Tests, RoutineEmigrants and ImmigrantsGenomicsHawaiiHigh-Throughput Nucleotide SequencingHumansMinisatellite RepeatsMolecular EpidemiologyMycobacterium tuberculosisPhilippinesPolymerase Chain ReactionGenomic epidemiologyHawaiiMycobacterium tuberculosisSpoligotyping

Identifiers

PMID30509214
PMCPMC6276198

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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.