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Analytical Procedures

Utility of Targeted, Amplicon-Based Deep Sequencing To Detect Resistance to First-Line Tuberculosis Drugs in Botswana

Qiao Wang, Chawangwa Modongo, Christopher Allender, David M. Engelthaler, Robin M. Warren, Nicola M. Zetola, Sanghyuk S. Shin
Qiao Wang
aSue & Bill Gross School of Nursing, University of California Irvine, Irvine, California, USA
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Chawangwa Modongo
bBotswana-UPenn Partnership, Gaborone, Botswana
cDepartment of Infectious Disease, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
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Christopher Allender
dTranslational Genomics Research Institute, Flagstaff, Arizona, USA
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David M. Engelthaler
dTranslational Genomics Research Institute, Flagstaff, Arizona, USA
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Robin M. Warren
eNRF-DST Centre of Excellence for Biomedical Tuberculosis Research, Tygerberg, South Africa
fSouth African Medical Research Council Centre for Tuberculosis Research, Tygerberg, South Africa
gDivision of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
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Nicola M. Zetola
hDepartment of Radiation Oncology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
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Sanghyuk S. Shin
aSue & Bill Gross School of Nursing, University of California Irvine, Irvine, California, USA
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DOI: 10.1128/AAC.00982-19
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Article Information

DOI 
https://doi.org/10.1128/AAC.00982-19
PubMed 
31405858

Published By 
American Society for Microbiology Journals
History 
  • Received May 12, 2019
  • Returned for modification July 22, 2019
  • Accepted August 5, 2019
  • Published online October 22, 2019.

Copyright & Usage 
Copyright © 2019 American Society for Microbiology. All Rights Reserved.

Article Versions

  • Accepted Manuscript version (August 12, 2019).
  • You are viewing the most recent version of this article.

Author Information

  1. Qiao Wanga,
  2. Chawangwa Modongob,c,
  3. Christopher Allenderd,
  4. David M. Engelthalerd,
  5. Robin M. Warrene,f,g,
  6. Nicola M. Zetolah and
  7. Sanghyuk S. Shina
  1. aSue & Bill Gross School of Nursing, University of California Irvine, Irvine, California, USA
  2. bBotswana-UPenn Partnership, Gaborone, Botswana
  3. cDepartment of Infectious Disease, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
  4. dTranslational Genomics Research Institute, Flagstaff, Arizona, USA
  5. eNRF-DST Centre of Excellence for Biomedical Tuberculosis Research, Tygerberg, South Africa
  6. fSouth African Medical Research Council Centre for Tuberculosis Research, Tygerberg, South Africa
  7. gDivision of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
  8. hDepartment of Radiation Oncology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
  • Address correspondence to Sanghyuk S. Shin, ssshin2{at}uci.edu.
  • N.M.Z. and S.S.S. contributed equally to this work.

  • Citation Wang Q, Modongo C, Allender C, Engelthaler DM, Warren RM, Zetola NM, Shin SS. 2019. Utility of targeted, amplicon-based deep sequencing to detect resistance to first-line tuberculosis drugs in Botswana. Antimicrob Agents Chemother 63:e00982-19. https://doi.org/10.1128/AAC.00982-19.

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Utility of Targeted, Amplicon-Based Deep Sequencing To Detect Resistance to First-Line Tuberculosis Drugs in Botswana
Qiao Wang, Chawangwa Modongo, Christopher Allender, David M. Engelthaler, Robin M. Warren, Nicola M. Zetola, Sanghyuk S. Shin
Antimicrobial Agents and Chemotherapy Oct 2019, 63 (11) e00982-19; DOI: 10.1128/AAC.00982-19

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Utility of Targeted, Amplicon-Based Deep Sequencing To Detect Resistance to First-Line Tuberculosis Drugs in Botswana
Qiao Wang, Chawangwa Modongo, Christopher Allender, David M. Engelthaler, Robin M. Warren, Nicola M. Zetola, Sanghyuk S. Shin
Antimicrobial Agents and Chemotherapy Oct 2019, 63 (11) e00982-19; DOI: 10.1128/AAC.00982-19
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KEYWORDS

HIV infections
next-generation sequencing
diagnostics
drug-resistant tuberculosis
heteroresistance
single-molecule overlapping reads

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