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Redefining Reference Standards 
Dr Jonathan Frampton 
Product Manager
2 
Disclaimer 
This Presentation does not constitute or form any part of an offer to sell, or invitation to purchase or apply for or enter into any contract or make any other 
commitment whatsoever in relation to, securities. Although reasonable care has been taken to ensure that the facts stated in this Presentation are accurate 
and that the opinions expressed are fair and reasonable, the contents of this Presentation have not been formally verified by Horizon Discovery plc (the 
“Company”) or any other person. Accordingly, no representation or warranty, expressed or implied, is made as to the fairness, accuracy, completeness or 
correctness of the information and opinions contained in this Presentation and no reliance should be placed on such information or opinions. Further, the 
information in this Presentation is not complete and is subject to updating, revision, further verification and amendment. Neither the Company, nor any of its 
subsidiaries, nor any of its respective members, directors, officers or employees nor any other person accepts any liability whatsoever for any loss howsoever 
arising from any use of such information or opinions or otherwise arising in connection with this Presentation. 
Accordingly, information contained in the Presentation is being supplied to you solely for your information and may not be copied, reproduced or further 
distributed to any person or published in whole or in part, for any purpose. In particular, the distribution of this Presentation in certain jurisdictions may be 
restricted by law, and persons into whose possession this Presentation comes should inform themselves about, and observe, any such restrictions. Any failure 
to comply with these restrictions may constitute a violation of laws of any such jurisdiction. 
This Presentation includes certain forward-looking statements, estimates and projections with respect to the anticipated future performance of Horizon 
Discovery plc, its products and the markets in which it operates. Forward-looking statements involve risks and uncertainties. Actual events could differ 
materially from those projected herein and such statements, estimates and projections reflect the various assumptions made by the Company which 
assumptions may or may not prove to be correct. These forward-looking statements speak only as at the date of this Presentation. The Company expressly 
disclaims any obligation or undertaking to disseminate any updates or revisions to any forward-looking statements contained in the Presentation to reflect any 
change in the Company’s expectations with regard thereto or any change in events, conditions or circumstances on which any such statements are based. 
No part of this Presentation, or the fact of its distribution, should form the basis of or be relied upon in connection with any contract or commitment or 
investment decision whatsoever. This Presentation does not constitute a recommendation regarding the securities of the Company. 
By participating in and/or accepting delivery of this Presentation you agree to be bound by the foregoing restrictions and the other terms of this disclaimer.
Impact of formalin treatment on template and assay performance 
Goal: 
To assess the effect of formalin on genomic DNA and the on assay performance for 
somatic variant detection. 
1. Created matched mutant and wild 
type cell lines 
2. Generated precisely defined HDx™ 
mixed cell pellets 
3. Formalin treat one pellet from each 
pair 
4. Extract genomic DNA from both 
pellets 
5. Quantitate gDNA 
6. Assess allelic frequency by dPCR 
Defined HDx™ cell line mixture 
No Formalin 
Treatment 
Formalin 
Treatment 
DNA Extraction DNA Extraction 
DNA 
Quantification 
DNA 
Quantification
DNA quantification of formalin-compromised gDNA 
Three methodologies employed to 
perform quantitation: 
• Quantifluor Assay 
• Agilent Tapestation 
• Nanodrop 
Observations: 
1. There is variation in the 
concentration of DNA from 
matched pairs (overestimation in 
formalin vs no formalin). 
2. The Nanodrop data shows a 
greater overestimation of 
concentration in formalin vs no 
formalin samples from matched 
pairs.
Mutant detection on formalin-compromised DNA by digital PCR 
Non-compromised 
DNA 
Formalin- 
[bp] compromised DNA 
Observations: 
Begin to see the subtle variation in variant 
calling Sample between Expected formalin Genotype vs Formalin 
no formalin 
Treatment 
matched pairs. 
Mutant Allelic 
Frequency 
Measured 
1 5.0% B-Raf V600E - 5.2 
2 5.0% B-Raf V600E + 5.5 
3 2.5% B-Raf V600E - 2.7 
4 2.5% B-Raf V600E + 3.7 
5 1.0% B-Raf V600E - 1.0 
6 1.0% B-Raf V600E + 1.3 
7 0.5% B-Raf V600E - 0.6 
8 0.5% B-Raf V600E + 0.6 
9 0.2% B-Raf V600E - 0.2 
10 0.2% B-Raf V600E + 0.4 
TapeStation analysis (above) and digital PCR 
genotyping (below) of matched pairs. 
Expected and measured allelic frequencies 
Implications: 
Artifacts – eg effects of formalin on DNA by 
deamination affect variant calling, potentially 
by increasing the mutant to wild type ratio. 
Sample Expected Genotype Formalin 
Treatment 
Mutant Allelic 
Frequency 
Measured 
1 5.0% Mutant - 5.2 
2 5.0% Mutant + 5.5 
3 2.5% Mutant - 2.7 
4 2.5% Mutant + 3.7 
5 1.0% Mutant - 1 
6 1.0% Mutant + 1.3 
7 0.5% Mutant - 0.6 
8 0.5% Mutant + 0.6 
9 0.2% Mutant - 0.2 
10 0.2% Mutant + 0.4 
Mutation Frequency
Impact of Formalin treatment on wild type samples 
6 
Formalin Intensity 
1. Utilised clonal wild type cell line 
2. Treated cell pellets with four different 
formalin conditions 
3. Analyzed allelic frequency by digital PCR 
Sample Expected Genotype Mutant Allelic 
Frequency 
Measured 
1 0% Mutant 0.04% 
2 0% Mutant 0.04% 
3 0% Mutant 0.07% 
4 0% Mutant 0.15% 
Sample preparation may interfere with assay sensitivity and specificity 
Mutation Frequency
Case Study 2. Tru-Q NGS Reference Standards 
EGFR 
mutants 
K-Ras 
mutants 
B-Raf 
mutants 
N-Ras 
mutants 
PIKCA 
mutants 
Quantification by Droplet Digital PCR 
C Blend 1 
10 mutations 
at 5% 
C Blend 2 
10 mutations 
at 5% 
C Blend 3 
10 mutations 
at 5% 
Quantification by Droplet Digital PCR 
Quantification by Droplet Digital PCR 
A Blend 
40 Mutations 
@ 1.3% 
B Blend 1 
20 Mutations 
at 2.5% 
B Blend 2 
20 Mutations 
at 2.5% 
C Blend 4 
10 mutations 
at 5% 
14 Additonal 
Biomarkers 
1.3% 
20 copies per μl 
Quantification by Droplet Digital PCR 
Dilution 
Series with 
wild type
Case Study 2. Data for Tru-Q NGS Reference Standards 
5% blend 2.5% blend 1.3% blend 
8 
Source: 
Horizon 
Diagnostics 
Predicted % 
Horizon 
Diagnostics 
Observed % 
Partner 
Platform: N/A 
QX100™ 
Droplet 
Digital™ PCR 
System 
Ion Torrent 
Gene Mutation 
BRAF V600M 4.0 4.4 3.5 
EGFR T790M 4.2 3.9 4.3 
EGFR L858R 4.2 4.2 3.5 
EGFR L861Q 4.2 4.1 3.6 
KIT D816V 5.0 5.4 6.4 
KRAS G12A 5.0 5.7 4.9 
KRAS G12R 5.0 5.2 4.6 
NRAS Q61K 5.0 4.9 3.3 
Specific and Sensitive down 
to 5% allelic frequency 
Horizon 
Diagnostics 
Predicted % 
Horizon 
Diagnostics 
Observed % 
Partner 
N/A 
QX100™ 
Droplet 
Digital™ PCR 
System 
Ion Torrent 
2.0 2.2 2.1 
2.1 2.0 2.1 
2.1 2.0 2.3 
2.1 2.1 1.8 
2.5 2.6 3.2 
2.5 3.0 2.5 
2.5 2.9 2.6 
2.5 2.5 2.5 
Horizon 
Diagnostics 
Predicted % 
Horizon 
Diagnostics 
Observed % 
Partner 
N/A 
QX100™ 
Droplet 
Digital™ PCR 
System 
Ion Torrent 
1.0 1.0 1.9 
1.0 1.1 missing 
1.0 1.1 missing 
1.0 1.0 missing 
1.3 1.3 1.5 
1.3 1.4 missing 
1.3 1.3 missing 
1.3 1.2 missing 
Specific and Sensitive down 
to 2.5% allelic frequency 
Not sensitive to detect down 
to 1% for all variants
 Horizon Diagnostics’ suite of reference material includes standards for the increasing number of ‘rare’ 
mutations being targeted for cancer therapeutics, which by definition are hard to find in clinical samples. 
ABL1 AKT1 ALK B-Raf cKIT EGFR FGFR2 
FLT3 GNAQ GNA11 IDH1 IDH2 JAK2 K-Ras 
9 
G12V 
E17K 
Q209L 
V600E 
V600K 
V600R 
R132C 
R132H 
G719S 
T790M 
L858R 
L861Q 
ΔE746-A750 
V617F 
S252W 
G12A 
G12C 
G12D 
G12R 
G12S 
G12V 
G13D 
T315I 
D835Y 
L1601P 
F1174L 
R1275Q 
F1245V 
Q209L 
Q61H 
Q61K 
Q61L 
Q61R 
D816V 
R140Q 
R172K 
E542K 
E545K 
H1047R 
EML4/ALK V600M 
V600G 
Δ1836 
NOTCH1 MET N-Ras MLL PI3K 
Y1253D MLL/ENL 
PTEN 
ΔEX6/EX7 
ROS1 
ROS1 
RUNX1 
RUNX1/RUNX1T1 
Q61H 
A146T 
Mutation Coverage

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Aug2014 horizon dx

  • 1. Redefining Reference Standards Dr Jonathan Frampton Product Manager
  • 2. 2 Disclaimer This Presentation does not constitute or form any part of an offer to sell, or invitation to purchase or apply for or enter into any contract or make any other commitment whatsoever in relation to, securities. Although reasonable care has been taken to ensure that the facts stated in this Presentation are accurate and that the opinions expressed are fair and reasonable, the contents of this Presentation have not been formally verified by Horizon Discovery plc (the “Company”) or any other person. Accordingly, no representation or warranty, expressed or implied, is made as to the fairness, accuracy, completeness or correctness of the information and opinions contained in this Presentation and no reliance should be placed on such information or opinions. Further, the information in this Presentation is not complete and is subject to updating, revision, further verification and amendment. Neither the Company, nor any of its subsidiaries, nor any of its respective members, directors, officers or employees nor any other person accepts any liability whatsoever for any loss howsoever arising from any use of such information or opinions or otherwise arising in connection with this Presentation. Accordingly, information contained in the Presentation is being supplied to you solely for your information and may not be copied, reproduced or further distributed to any person or published in whole or in part, for any purpose. In particular, the distribution of this Presentation in certain jurisdictions may be restricted by law, and persons into whose possession this Presentation comes should inform themselves about, and observe, any such restrictions. Any failure to comply with these restrictions may constitute a violation of laws of any such jurisdiction. This Presentation includes certain forward-looking statements, estimates and projections with respect to the anticipated future performance of Horizon Discovery plc, its products and the markets in which it operates. Forward-looking statements involve risks and uncertainties. Actual events could differ materially from those projected herein and such statements, estimates and projections reflect the various assumptions made by the Company which assumptions may or may not prove to be correct. These forward-looking statements speak only as at the date of this Presentation. The Company expressly disclaims any obligation or undertaking to disseminate any updates or revisions to any forward-looking statements contained in the Presentation to reflect any change in the Company’s expectations with regard thereto or any change in events, conditions or circumstances on which any such statements are based. No part of this Presentation, or the fact of its distribution, should form the basis of or be relied upon in connection with any contract or commitment or investment decision whatsoever. This Presentation does not constitute a recommendation regarding the securities of the Company. By participating in and/or accepting delivery of this Presentation you agree to be bound by the foregoing restrictions and the other terms of this disclaimer.
  • 3. Impact of formalin treatment on template and assay performance Goal: To assess the effect of formalin on genomic DNA and the on assay performance for somatic variant detection. 1. Created matched mutant and wild type cell lines 2. Generated precisely defined HDx™ mixed cell pellets 3. Formalin treat one pellet from each pair 4. Extract genomic DNA from both pellets 5. Quantitate gDNA 6. Assess allelic frequency by dPCR Defined HDx™ cell line mixture No Formalin Treatment Formalin Treatment DNA Extraction DNA Extraction DNA Quantification DNA Quantification
  • 4. DNA quantification of formalin-compromised gDNA Three methodologies employed to perform quantitation: • Quantifluor Assay • Agilent Tapestation • Nanodrop Observations: 1. There is variation in the concentration of DNA from matched pairs (overestimation in formalin vs no formalin). 2. The Nanodrop data shows a greater overestimation of concentration in formalin vs no formalin samples from matched pairs.
  • 5. Mutant detection on formalin-compromised DNA by digital PCR Non-compromised DNA Formalin- [bp] compromised DNA Observations: Begin to see the subtle variation in variant calling Sample between Expected formalin Genotype vs Formalin no formalin Treatment matched pairs. Mutant Allelic Frequency Measured 1 5.0% B-Raf V600E - 5.2 2 5.0% B-Raf V600E + 5.5 3 2.5% B-Raf V600E - 2.7 4 2.5% B-Raf V600E + 3.7 5 1.0% B-Raf V600E - 1.0 6 1.0% B-Raf V600E + 1.3 7 0.5% B-Raf V600E - 0.6 8 0.5% B-Raf V600E + 0.6 9 0.2% B-Raf V600E - 0.2 10 0.2% B-Raf V600E + 0.4 TapeStation analysis (above) and digital PCR genotyping (below) of matched pairs. Expected and measured allelic frequencies Implications: Artifacts – eg effects of formalin on DNA by deamination affect variant calling, potentially by increasing the mutant to wild type ratio. Sample Expected Genotype Formalin Treatment Mutant Allelic Frequency Measured 1 5.0% Mutant - 5.2 2 5.0% Mutant + 5.5 3 2.5% Mutant - 2.7 4 2.5% Mutant + 3.7 5 1.0% Mutant - 1 6 1.0% Mutant + 1.3 7 0.5% Mutant - 0.6 8 0.5% Mutant + 0.6 9 0.2% Mutant - 0.2 10 0.2% Mutant + 0.4 Mutation Frequency
  • 6. Impact of Formalin treatment on wild type samples 6 Formalin Intensity 1. Utilised clonal wild type cell line 2. Treated cell pellets with four different formalin conditions 3. Analyzed allelic frequency by digital PCR Sample Expected Genotype Mutant Allelic Frequency Measured 1 0% Mutant 0.04% 2 0% Mutant 0.04% 3 0% Mutant 0.07% 4 0% Mutant 0.15% Sample preparation may interfere with assay sensitivity and specificity Mutation Frequency
  • 7. Case Study 2. Tru-Q NGS Reference Standards EGFR mutants K-Ras mutants B-Raf mutants N-Ras mutants PIKCA mutants Quantification by Droplet Digital PCR C Blend 1 10 mutations at 5% C Blend 2 10 mutations at 5% C Blend 3 10 mutations at 5% Quantification by Droplet Digital PCR Quantification by Droplet Digital PCR A Blend 40 Mutations @ 1.3% B Blend 1 20 Mutations at 2.5% B Blend 2 20 Mutations at 2.5% C Blend 4 10 mutations at 5% 14 Additonal Biomarkers 1.3% 20 copies per μl Quantification by Droplet Digital PCR Dilution Series with wild type
  • 8. Case Study 2. Data for Tru-Q NGS Reference Standards 5% blend 2.5% blend 1.3% blend 8 Source: Horizon Diagnostics Predicted % Horizon Diagnostics Observed % Partner Platform: N/A QX100™ Droplet Digital™ PCR System Ion Torrent Gene Mutation BRAF V600M 4.0 4.4 3.5 EGFR T790M 4.2 3.9 4.3 EGFR L858R 4.2 4.2 3.5 EGFR L861Q 4.2 4.1 3.6 KIT D816V 5.0 5.4 6.4 KRAS G12A 5.0 5.7 4.9 KRAS G12R 5.0 5.2 4.6 NRAS Q61K 5.0 4.9 3.3 Specific and Sensitive down to 5% allelic frequency Horizon Diagnostics Predicted % Horizon Diagnostics Observed % Partner N/A QX100™ Droplet Digital™ PCR System Ion Torrent 2.0 2.2 2.1 2.1 2.0 2.1 2.1 2.0 2.3 2.1 2.1 1.8 2.5 2.6 3.2 2.5 3.0 2.5 2.5 2.9 2.6 2.5 2.5 2.5 Horizon Diagnostics Predicted % Horizon Diagnostics Observed % Partner N/A QX100™ Droplet Digital™ PCR System Ion Torrent 1.0 1.0 1.9 1.0 1.1 missing 1.0 1.1 missing 1.0 1.0 missing 1.3 1.3 1.5 1.3 1.4 missing 1.3 1.3 missing 1.3 1.2 missing Specific and Sensitive down to 2.5% allelic frequency Not sensitive to detect down to 1% for all variants
  • 9.  Horizon Diagnostics’ suite of reference material includes standards for the increasing number of ‘rare’ mutations being targeted for cancer therapeutics, which by definition are hard to find in clinical samples. ABL1 AKT1 ALK B-Raf cKIT EGFR FGFR2 FLT3 GNAQ GNA11 IDH1 IDH2 JAK2 K-Ras 9 G12V E17K Q209L V600E V600K V600R R132C R132H G719S T790M L858R L861Q ΔE746-A750 V617F S252W G12A G12C G12D G12R G12S G12V G13D T315I D835Y L1601P F1174L R1275Q F1245V Q209L Q61H Q61K Q61L Q61R D816V R140Q R172K E542K E545K H1047R EML4/ALK V600M V600G Δ1836 NOTCH1 MET N-Ras MLL PI3K Y1253D MLL/ENL PTEN ΔEX6/EX7 ROS1 ROS1 RUNX1 RUNX1/RUNX1T1 Q61H A146T Mutation Coverage