Evidence map›Paper›PMID 31039166›Full record

ArticlePLoS medicine2019

Whole-genome and targeted sequencing of drug-resistant Mycobacterium tuberculosis on the iSeq100 and MiSeq: A performance, ease-of-use, and cost evaluation.

Rebecca E Colman, Aurélien Mace, Marva Seifert, Jonathan Hetzel, Haifa Mshaiel, Anita Suresh, Darrin Lemmer, David M Engelthaler, Donald G Catanzaro, Amanda G Young and 2 more

Erratum issued Registry-linked trialAbstract readComparative StudyEvaluation Study
In one paragraph

Article in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04923958 (Rapid Research in Diagnostics Development for TB Network), which is not on this map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 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.

NCT04923958 narecruitingnot on this mapstarted 2021, after this paper: background citation

Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) Study

TypeinterventionalSponsorUniversity of California, San FranciscoRan2021 to 2031Enrolled26,436ConditionsTuberculosisArmsNovel mycobacterial culture techniques, Novel sputum smear microscopy techniques, Sputum-based molecular assays, Tongue swab-based molecular assays, Urine LAM assays
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Open-access genomic drug resistance prediction tools forJournal of clinical microbiology · 2026
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  11. Targeted next-generation sequencing ofEmerging microbes & infections · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Rebecca E ColmanFoundation for Innovative New Diagnostics, Campus Biotech, Geneva, Switzerland.ORCID 0000-0002-6854-2100
Aurélien MaceFoundation for Innovative New Diagnostics, Campus Biotech, Geneva, Switzerland.ORCID 0000-0002-3282-1650
Marva SeifertDepartment of Medicine, University of California, San Diego, San Diego, California, United States of America.ORCID 0000-0002-7554-6396
Jonathan HetzelIllumina Inc., San Diego, California, United States of America.
Haifa MshaielDepartment of Medicine, University of California, San Diego, San Diego, California, United States of America.
Anita SureshFoundation for Innovative New Diagnostics, Campus Biotech, Geneva, Switzerland.
Darrin LemmerTranslational Genomics Research Institute, Flagstaff, Arizona, United States of America.ORCID 0000-0003-2785-6928
David M EngelthalerTranslational Genomics Research Institute, Flagstaff, Arizona, United States of America.ORCID 0000-0001-5945-059X
Donald G CatanzaroDepartment of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, United States of America.ORCID 0000-0003-1760-0574
Amanda G YoungIllumina Inc., San Diego, California, United States of America.
Claudia M DenkingerFoundation for Innovative New Diagnostics, Campus Biotech, Geneva, Switzerland.ORCID 0000-0002-7216-7067
Timothy C RodwellFoundation for Innovative New Diagnostics, Campus Biotech, Geneva, Switzerland.ORCID 0000-0003-2779-3197

Funding

Training in the Next Generation in Respiratory ScienceT32HL134632 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL, POWELL, FRANK L. · 2017 to 2021
$2.1M
Culture-free next generation sequencing for rapid detection of drug-resistant tuberculosisR21AI135756 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RODWELL, TIMOTHY CHARLES · 2018 to 2019
$500k
NHLBI NIH HHS T32 HL134632NIAID NIH HHS R21 AI135756
6 · The paper itself

Abstract

backgroundAccurate, comprehensive, and timely detection of drug-resistant tuberculosis (TB) is essential to inform patient treatment and enable public health surveillance. This is crucial for effective control of TB globally. Whole-genome sequencing (WGS) and targeted next-generation sequencing (NGS) approaches have potential as rapid in vitro diagnostics (IVDs), but the complexity of workflows, interpretation of results, high costs, and vulnerability of instrumentation have been barriers to broad uptake outside of reference laboratories, especially in low- and middle-income countries. A new, solid-state, tabletop sequencing instrument, Illumina iSeq100, has the potential to decentralize NGS for individual patient care. METHODS AND

findingsIn this study, we evaluated WGS and targeted NGS for TB on both the new iSeq100 and the widely used MiSeq (both manufactured by Illumina) and compared sequencing performance, costs, and usability. We utilized DNA libraries produced from Mycobacterium tuberculosis clinical isolates for the evaluation. We conducted WGS on three strains and observed equivalent uniform genome coverage with both platforms and found the depth of coverage obtained was consistent with the expected data output. Utilizing the standardized, cloud-based ReSeqTB bioinformatics pipeline for variant analysis, we found the two platforms to have 94.0% (CI 93.1%-94.8%) agreement, in comparison to 97.6% (CI 97%-98.1%) agreement for the same libraries on two MiSeq instruments. For the targeted NGS approach, 46 M. tuberculosis-specific amplicon libraries had 99.6% (CI 98.0%-99.9%) agreement between the iSeq100 and MiSeq data sets in drug resistance-associated SNPs. The upfront capital costs are almost 5-fold lower for the iSeq100 ($19,900 USD) platform in comparison to the MiSeq ($99,000 USD); however, because of difference in the batching capabilities, the price per sample for WGS was higher on the iSeq100. For WGS of M. tuberculosis at the minimum depth of coverage of 30x, the cost per sample on the iSeq100 was $69.44 USD versus $28.21 USD on the MiSeq, assuming a 2 × 150 bp run on a v3 kit. In terms of ease of use, the sequencing workflow of iSeq100 has been optimized to only require 27 minutes total of hands-on time pre- and post-run, and the maintenance is simplified by a single-use cartridge-based fluidic system. As these are the first sequencing attempts on the iSeq100 for M. tuberculosis, the sequencing pool loading concentration still needs optimization, which will affect sequencing error and depth of coverage. Additionally, the costs are based on current equipment and reagent costs, which are subject to change.

conclusionsThe iSeq100 instrument is capable of running existing TB WGS and targeted NGS library preparations with comparable accuracy to the MiSeq. The iSeq100 has reduced sequencing workflow hands-on time and is able to deliver sequencing results in <24 hours. Reduced capital and maintenance costs and lower-throughput capabilities also give the iSeq100 an advantage over MiSeq in settings of individualized care but not in high-throughput settings such as reference laboratories, where sample batching can be optimized to minimize cost at the expense of workflow complexity and time.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNACost-Benefit AnalysisDNA, BacterialDrug Resistance, Multiple, BacterialHumansMycobacterium tuberculosisReproducibility of ResultsTime FactorsTuberculosis, Multidrug-ResistantDNA, Bacterial

Identifiers

PMID31039166
PMCPMC6490892

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.