implementing whole‐genome sequencing on clinical isolates ... tb...tb cases* 1007 954 910 864 872...
TRANSCRIPT
May 1, 2017
Implementing whole‐genome sequencing on clinical isolates of Mycobacterium
tuberculosis in New York State
Kimberlee Musser, PhDChief, Bacterial DiseasesWadsworth Center
May 1, 2017 2
Why perform WGS on Mycobacterium tuberculosis?
• Faster turnaround time• More comprehensive results
• Detect mixed infections• Many predictors of drug resistance• Emerging resistance
• Cost effective• Replace existing assays (real‐time PCR,
pyrosequencing, spoligotyping)• Staff time savings
May 1, 2017 3
2009 2010 2011 2012 2013 2014 2015
TB Cases* 1007 954 910 864 872 784 766
DR‐TB 80 63 74 67 54 109 115
MDR‐TB 12 14 20 19 8 12 7
XDR‐TB 0 0 2 2 0 2 0
* National rank #3 or #4 each year by number of cases
TB in New YorkUniversal FAST TRACK program:
• Implemented in 1993• Rapid detection of MTBC from a priority group
of highly infectious NY patients with newly diagnosed AFB smear positive sputum
May 1, 2017 4
TB positive‐ resistance assessment:
rpoB gene pyrosequencing 2009katG gene pyrosequencing 2010inhA promoter pyrosequencing 2012gyrA, gyrB genes pyrosequencing 2013
NAAT (isolates and specimens):
MTBC real‐time PCR 2007MTBC species ID real‐time PCR 2010
Focus on continual improvement of TB Diagnostics
Non‐tuberculous mycobacteria (NTM):
MAC real‐time PCR 2011M. abscessus real‐time PCR 2014
NTM IDrpoB, hsp65, 16S gene sequence analysis 2012MALDI‐TOF MS 2013
May 1, 2017 5
Developing a TB WGS Assay
• Starting material Day 0 MGIT• Compare DNA preparation methods• Nextera XT/ MiSeq• Build Pipeline• LIMS/ Epidemiology Reporting (ECLRS)• Validation Plan
May 1, 2017 6
• InstaGene matrix (Chelex resin)– The Chelex matrix binds to PCR inhibitors
rather than DNA, preventing DNA loss due to irreversible DNA binding.
• Fastprep tissue homogenizer– Good enough yield to provide reliable WGS
data even with 0 day MGIT
TB DNA Preparation for WGS
Success!
• Working with TB is a challenge!• Comparison of CTAB, Zymo Research Kit,
other methods• Review literature
May 1, 2017 7
Whole Genome SequencingNext Generation Technologies
Extract TB DNA
Nextera XT/ Miseq WGS Bioinformatics
12 to 15 cycles
May 1, 2017 8TB BIOINFORMATICS PIPELINE
Bioinformatics
KrakenK-mer
matching
Detect spacers (allow 1 SNP)
SNP calling with indels, major
deletions
SNP calling ignore indels
Map to Reference Genome
1 2 3 4
Importing into Importing into CLIMS
MTBC member ID Spoligotyping
Prediction of antibiotic resistance
Build consensus for
phylogeny
Report
May 1, 2017 9
May 1, 2017 10High-confidence mutations Drug Locus Codon/NT positionRifampin (RIF) rpoB 251, 511, 513, 516, 522,
526, 531, 533, 572
Isoniazid (INH) katGoxyR‐ahpC promoter regionmabA promoter regionmabAinhA
279, 315, 394, 525 ‐81‐17, ‐15, ‐820394
Pyrazinamide (PZA) pncA/pncA promoter region Any nonsynonymous change
Ethambutol (EMB) embB 306, 406, 497
Streptomycin (SM) rrsrpsL
512, 513, 516, 90643, 88
Kanamycin/Amikacin (KAN/AMI)
rrs 1401
Kanamycin (KAN) eis promoter region ‐10, ‐37
Fluroquinolones(FLQ)
gyrAgyrB
74, 90, 91, 94510
Ethionamide (ETH) mabA promoter regionmabAethA
‐17, ‐15, ‐8203Frameshift/STOP
Red =New pipeline
May 1, 2017 11
Galaxy output to email:1‐ CLIMS report2‐ Access report3‐ Individual text files for each specimen
45 min/sample one at a time ‐‐‐‐‐‐‐<30 min/samples 6 at a time!
May 1, 2017 12Comprehensive Pipeline Results
identification
spoligotype
Mapping statistics
May 1, 2017 13
Import of pipeline
CLIMS Final Laboratory Report
mutations
Interpretation
May 1, 2017 14
Validation of TB WGS
• SOP, reporting language, interpretation, QC, assay controls, metrics
• Specificity, intra-assay and inter-assay reproducibility
• Retrospective testing• Prospective testing• Evaluate each drug
May 1, 2017 15TIMELINE
• 2015‐ RFA: Establishment of MTBC WGS Reference Centers/Pilot Project; NIH R03 grant TB WGS sputum
• Jan 2016‐ Established NYS guidelines for validation of NGS‐based methods for isolates of infectious agents
• Feb 2016‐ Validation package submitted to NYS
Routine WGS of all NYS TB Patients > a year!
2013‐Wadsworth Center Public Health Genomics Center (PHGC) funding announcement
2014‐ PHGC funding to test 60 TB isolates by WGS‐pilot study
2014: ‐ Bioinformatics work began‐Development and Validation
May 1, 2017 16
SPECIES AND STRAIN IDENTIFICATION
• 535 M. tuberculosis• 9 M. bovis• 6 M. bovis-BCG• 8 M. africanum• 2 M. orygis
527 pan-susceptible (83%)
112 resistant (17%) 14 MDR 1 XDR 58 other resistance 26 SM mono-resistant 13 2nd line drug mono-
resistant
RESISTANCE PROFILING
Based on WGS & DST, if available.
Prospective Testing Results
May 1, 2017 17Prospective Testing Results
May 1, 2017 18
608 samples had WGS-generated spoligotype
High levels of concordance with blot/ luminex spoligotype when available (n=204)
88.2% perfect matches (n=180) 10.8% 1 spacer off (n=22)* 1% 2 spacers off (n=2)*
Spoligotyping
*Several known discrepancies due to differences in methods of spacer detection
May 1, 2017 19
Euro-American (53%)
Beijing (23%)
CAS (6.3%)
EAI (13.3%)
Other species (4.4%)
SNP Analysis
May 1, 2017 20
Isoniazid Resistance Predictions: Improved by WGS*
Pipeline identifies high confidence mutations in 4 loci, plus katGframeshift mutations & gene
deletions
Sensitivity of INH resistance detection increased from 72% to 88%
PREDICTION OF DRUG RESISTANCE PROFILES
5th loci added in new pipeline
May 1, 2017 21
Current Success of Pipeline for Resistance Prediction – 8 Drugs
Current EMB FLQ INH PZA RIF SM KAN ETASensitivity 0.80 0.97 0.87 0.88 1.00 0.71 1.00 0.57Specificity 0.99 1.00 0.99 0.98 0.97 1.00 1.00 0.97PPV (Res) 0.89 1.00 0.98 0.83 0.80 1.00 1.00 0.92
NPV (Susc) 0.98 0.99 0.96 0.98 1.00 0.92 1.00 0.76
Concordance 0.97 0.99 0.96 0.96 0.97 0.93 1.00 0.80
PREDICTION OF DRUG RESISTANCE PROFILES
New pipelineConcordance 0.97 0.99 0.97 0.97 0.97 0.93 0.99 0.92
May 1, 2017 22
Turnaround Time is Improving
WGS results have completed faster than first-line DST in 168/212 cases.
This continues to improve!
Turnaround time (days)
Extraction – WGS Result Receipt – WGS Result
# Isolates Received
# Primary Received
NYS NYC NYS NYC
January (15‐31)
19 0 13 11 28 28
February (1‐29)
49 3 9 8 23 28
March (1‐22)
42 1 7 7 16 17
May 1, 2017 23
What does it really cost?
Core charge‐$180/ TB WGS MiSeqCore charge‐$120/ TB WGS NextSeq
May 1, 2017 24What have we learned?
We can’t live without TB WGS in NYS
Interesting findings:
• Invalid DST caused by mixed sample
• Increased resolution for TB investigations (VISIT POSTERS 42 and 49)
• Heteroresistance, emerging resistance
• Linking specimens in LIMs with variation in demographics
• katG mutation identified not detected by HAIN test
• 2 sisters, one developed mutation to RIF
May 1, 2017 25
Accepted in ~4 weeks!
May 1, 2017 26Whole Genome Sequencing of TB:A “One Stop Shop”
WGS
Single assay
Species identification
Genotyping (more accurate)Drug resistance mutations (more comprehensive)
COST
~$250 per sample
TURN‐AROUND TIME
WGS result (7 days)
Future‐ Direct specimen WGSProviding PipelineImproving the assay
AcknowledgementsCore TB WGS TeamVincent Escuyer Kim MusserTanya Halse Joseph SheaPascal Lapierre
MYCOBACTERIOLOGY LABDonna KohlerschmidtMichelle IsabelleSusan WolfeDennis Biggins
MOLECULAR BACTERIOLOGY LAB
Tammy Quinlan Justine EdwardsLinda Gebhardt Samantha WirthAPPLIED GENOMIC TECHNOLOGIES CORE
BIOINFORMATICS COREMike Palumbo Erica Lasek-NesselquistCLIMSColleen Walsh, Alok Mehta
NYC PHLJennifer Rakeman, John Kornblum
National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention
Wadsworth Center, NYSDOHPublic Health Genomics Initiative
R03 NIH- Use of whole genome sequencing for tuberculosis diagnostics
Establishment of Mycobacterium tuberculosis complex WGS Reference Centers
Patrick VanRoey Zhen ZhangMatt Shudt Helen LingMelissa Leisner Nathalie Boucher
NYS TB ControlNYC TB Control
May 1, 2017 28
We have found that TB WGS provides:
1- MDR identification in ~ 2 weeks or less on TB cases (some that are not even known as cases) weeks-months before DST available
2- Resolution/ early identification of mixed samples (NTM/TB)
3- Resolves inconclusive identifications MTB complex due to missing RD regions
4- Resolves issues where pyrosequencing or Sanger sequencing will FAIL due to deletion in target genes
5- Finds mutations outside of pyrosequencing region of target genes
6- Finds mutations in 2nd line drugs which would never have been found when 1st line drugs are susceptible
8- Resolving spoligotyping issues
9- Can identify heteroresistance
10- Predicts resistance when DST is invalid. WGS is even more valuable because the normal time to susceptibility results is pushed back. In some cases these specimens turn out to have contamination so that DST can never be completed and is canceled.
May 1, 2017 29
TB MGIT
56°C 15 min
15 sec 2X
Centrifuge
200 ul
Centrifuge
Proteins, inhibitors, etc...
WGS