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Evaluation of Whole-Genome Sequencing for Mycobacterial Species Identification and Drug Susceptibility Testing in a Clinical Setting: a Large-Scale Prospective Assessment of Performance against Line Probe Assays and Phenotyping

Authors :
Quan, T. Phuong
Bawa, Zharain
Foster, Dona
Walker, Tim
del Ojo Elias, Carlos
Rathod, Priti
Iqbal, Zamin
Bradley, Phelim
Mowbray, Janet
Walker, A. Sarah
Crook, Derrick W.
Wyllie, David H.
Peto, Timothy E. A.
Smith, E. Grace
Source :
Journal of Clinical Microbiology; November 2017, Vol. 56 Issue: 2
Publication Year :
2017

Abstract

ABSTRACTUse of whole-genome sequencing (WGS) for routine mycobacterial species identification and drug susceptibility testing (DST) is becoming a reality. We compared the performances of WGS and standard laboratory workflows prospectively, by parallel processing at a major mycobacterial reference service over the course of 1 year, for species identification, first-line Mycobacterium tuberculosisresistance prediction, and turnaround time. Among 2,039 isolates with line probe assay results for species identification, 74 (3.6%) failed sequencing or WGS species identification. Excluding these isolates, clinically important species were identified for 1,902 isolates, of which 1,825 (96.0%) were identified as the same species by WGS and the line probe assay. A total of 2,157 line probe test results for detection of resistance to the first-line drugs isoniazid and rifampin were available for 728 M. tuberculosiscomplex isolates. Excluding 216 (10.0%) cases where there were insufficient sequencing data for WGS to make a prediction, overall concordance was 99.3% (95% confidence interval [CI], 98.9 to 99.6%), sensitivity was 97.6% (91.7 to 99.7%), and specificity was 99.5% (99.0 to 99.7%). A total of 2,982 phenotypic DST results were available for 777 M. tuberculosiscomplex isolates. Of these, 356 (11.9%) had no WGS comparator due to insufficient sequencing data, and in 154 (5.2%) cases the WGS prediction was indeterminate due to discovery of novel, previously uncharacterized mutations. Excluding these data, overall concordance was 99.2% (98.7 to 99.5%), sensitivity was 94.2% (88.4 to 97.6%), and specificity was 99.4% (99.0 to 99.7%). Median processing times for the routine laboratory tests versus WGS were similar overall, i.e., 20 days (interquartile range [IQR], 15 to 31 days) and 21 days (15 to 29 days), respectively (P= 0.41). In conclusion, WGS predicts species and drug susceptibility with great accuracy, but work is needed to increase the proportion of predictions made.

Details

Language :
English
ISSN :
00951137 and 1098660X
Volume :
56
Issue :
2
Database :
Supplemental Index
Journal :
Journal of Clinical Microbiology
Publication Type :
Periodical
Accession number :
ejs44562672
Full Text :
https://doi.org/10.1128/JCM.01480-17