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Wellcome Trust Centre for Human Genetics Mykrobe predictor A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data. Phelim Bradley [email protected] Zamin Iqbal [email protected]

Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

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Page 1: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Wellcome Trust Centre for Human Genetics

Mykrobe predictorA desktop application identifying species

and antibiotic resistance from S. aureus

and M. tuberculosis raw genome

sequence data.

Phelim Bradley

[email protected]

Zamin Iqbal [email protected]

Page 2: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

How can we make clinical genomics a practical

reality?

Mykrobe predictor is clinical

grade software to enable

sequencing data to be used to

identify species and test for drug

susceptibility.

Mykrobe predictor is:

• Quick

• Usable by non informatics-experts

• Scalable

• As accurate as comparable drug susceptibility tests.

Page 3: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Mykrobe replaces post culture DST with whole genome sequencing + software analysis.

Mykrobe predictor fits into clinical workflow.

Page 4: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Drag and drop demo

Page 5: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Drag and drop demo

Page 6: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Drag and drop demo

Page 7: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Drag and drop demo

Page 8: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Drag and drop demo

Page 9: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Drag and drop demo

Page 10: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Drag and drop demo

Page 11: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Drag and drop demo

Page 12: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Future advances may decrease required

culture times

Can we also be robust to decreased culture times?

SequencingCulture

Mykrobe

Page 13: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Future advances may decrease required

culture times

Can we also be robust to decreased culture times?

SequencingCulture

Mykrobe

Page 14: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Mykrobe has been trained and tested on

1000s of samples

• 987 S. aureus and 3529 M. tuberculosis samples (Illumina HiSeq)

S. aureus:

• Resistance predictions for 12 drugs: Penicillin, Erythromycin,

Ciprofloxacin, Methicillin, Fusidic Acid, Tetracycline, Rifampicin,

Gentamycin, Mupirocin and Vancomycin.

• Gold-standard phenotype = a consensus of antibiotic BSAC disc,

Phoenix™ and Etest.

M. tuberculosis:

• Resistance predictions for 10 1st and 2nd line drugs: Isoniazid,

Rifampicin, Ethambutol, Streptomycin, Amoxicillin, Ofloxacin,

Amikacin, Capreomycin, Kanamycin.

• Gold-standard phenotype = proportion method via Löwenstein-

Jensen slope-based testing.

Page 15: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Results – toy example

Sample Predict Truth

1 R R

2 R R

3 R R

4 S R

5 S R

6 S R

7 S R

8 S R

9 S R

10 S R

0123456789

10

dru

g

Resis

tan

t S

am

ple

s

VME = Very major error(incorrect S prediction)

(Correct R predictions)

Page 16: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

0123456789

10

dru

g

Resis

tan

t S

am

ple

s

Results – toy example

Sample Predict Truth

1 R R

2 R R

3 R R

4 R R

5 R R

6 R R

7 R R

8 S R

9 S R

10 S R

VME = Very major error(incorrect S prediction)

TP (Correct R predictions)

Page 17: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

0123456789

10

dru

g

Resis

tan

t S

am

ple

s

Results – toy example

Sample Predict Truth

1 R R

2 R R

3 R R

4 R R

5 R R

6 R R

7 R R

8 R R

9 R R

10 R R

TP (Correct R predictions)

Page 18: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

0123456789

10

dru

g

Resis

tan

t S

am

ple

s

Results – toy example

Sample Predict Truth

11 S S

12 S S

13 S S

14 R S

15 R S

16 R S

17 R S

18 R S

19 R S

20 R S

0123456789

10

dru

g

Su

sce

ptible

Sam

ple

s

TN

ME = Major error(incorrect R prediction)

Page 19: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

0123456789

10

dru

g

Resis

tan

t S

am

ple

s

Results – toy example

Sample Predict Truth

11 S S

12 S S

13 S S

14 S S

15 S S

16 S S

17 S S

18 R S

19 R S

20 R S

TN

ME = Major error(incorrect R prediction)

0123456789

10

dru

g

Su

sce

ptible

Sam

ple

s

Page 20: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

0123456789

10

dru

g

Su

sce

ptible

Sam

ple

s

0123456789

10

dru

g

Resis

tan

t S

am

ple

s

Results – toy example

Sample Predict Truth

11 S S

12 S S

13 S S

14 S S

15 S S

16 S S

17 S S

18 S S

19 S S

20 S S

TN

Page 21: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Mykrobe predictor is as sensitive and specific

as Disc and Phoenix for S. aureus DST .

• We achieved an overall 0.7% VME rate and 0.5% ME

rate across all antibiotics in S. aureus.

VME – missed R

predictions

ME – missed S

predictions

Page 22: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Comparison to comparable MTB DST

• Gold standard resistance predictions are slow.

• Faster options:

• PCR based test (e.g. CEPHEID GeneXpert)

• Limited scope (Only RIF predictions)

• Line probe assay (e.g. HAIN MTBDR)

• Static, difficult to update targets.

• Sequencing (e.g. Mykrobe predictor)

• Flexible, updatable panel.

• Single, quantitative test

Page 23: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Ability to detect minor populations has

potential clinical benefit.

• Detect coagulase-negative

staphylococci

• Detect atypical

mycobacteria

• Minor calls improve VME

in 2nd line tuberculosis

drugs.

Page 24: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Sequence data has additional benefits

Sequencing based solutions will

• Help us better understand within

patient diversity

• Fit in with a global

surveillance system

Page 25: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

The Future: A sequencer in your USB stick?

Silicon Revolution (Moore’s Law)

Sequencing Technology

Page 26: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

The Future: A sequencer in your USB stick?

PEN R

ERY R

CIP R

METH R

FUS S

CLIN R

TET S

RIF S

GEN R

MUP S

TRIM R

VAN S

Page 27: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Mykrobe is ready for field trips…

Tablet Smart Phone

Raspberry Pi

Model B

- CHEAP!!

Page 28: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

• Mykrobe predictor is ready for :

• Windows

• Mac

• Linux

• Basespace (submitted)

• Will be tested in 3 UK hospitals in 2015

Mykrobe predictor

Try it out! - you can

download it now.

mykrobe.com

Page 29: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Acknowledgments

PI - Zam Iqbal

• Simon Heys, Bill Huang• Claire Gordon, Tim Walker, Tim Peto, Sarah Walker,

Louise Pankhurst, Antonina Votintseva, Derrick Crook• Mariateresa deCesare, David Buck, Gil McVean.• Stefan Niemann, E Grace Smith, Nazir Ismail, Roland Diel,

Shaheed Omar

Page 31: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data
Page 32: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Mykrobe replaces post culture DST with whole genome sequencing + software analysis.

Mykrobe predictor fits into clinical workflow.

M. tuberculosis

Page 33: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Mykrobe replaces post culture DST with whole genome sequencing + software analysis.

Mykrobe predictor fits into clinical workflow.

S. aureus

Page 34: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Future advances may decrease required

culture times

Can we also make it robust to decreased culture times?

S. aureus

Page 35: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

M. Predictor can accurately determine target

species.

• Speciation was tuned to be as sensitive and specific to

target species.

• Sensitivity and specificity to detect S. Aureus -100%, 98.5%

• Sensitivity and specificity to detect MTBC - 100%,100%

Page 36: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Mykrobe and SeqSphere

Page 37: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data

Mykrobe and KvarQ

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Page 38: Eccmid 2015 Mykrobe Predictor - A desktop application identifying species and antibiotic resistance from S. aureus and M. tuberculosis raw genome sequence data