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The world leader in serving science Angela Burrell 9 July 2019 Development of targeted GBS panels for breeding and parentage applications in dogs

Development of targeted GBS panels for breeding and ......Development of targeted GBS panels for breeding and parentage applications in dogs. 2 •We recognize that there is a need

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Page 1: Development of targeted GBS panels for breeding and ......Development of targeted GBS panels for breeding and parentage applications in dogs. 2 •We recognize that there is a need

The world leader in serving science

Angela Burrell9 July 2019

Development of targeted GBS panels for breeding and parentage applications in dogs

Page 2: Development of targeted GBS panels for breeding and ......Development of targeted GBS panels for breeding and parentage applications in dogs. 2 •We recognize that there is a need

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• We recognize that there is a need for a robust, repeatable, and

unambiguous workflow needed for canine parentage and genetic trait

testing.

• We developed two targeted sequencing panels, one for canine

parentage/ID verification and one for canine genetic defect/trait

identification.

• The AgriSeq Canine SNP Parentage & ID Panel

• The AgriSeq Canine Traits & Disorders Panel

• Utilizes the AgriSeq workflow

Background

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• Evaluated performance of two panels:

• 1. AgriSeq Canine SNP Parentage and ID Panel* (A43407)- 381 markers

• 2. AgriSeq Canine Traits and Disorders Panel* (A43406)- 154 markers

Panels

Panel SNPs MNPs Insertions Deletions

Parentage & ID 379 0 0 2

Panel SNPs MNPs Insertions Deletions

Traits & Disorders 97 6 13 38

*For Research Use Only. Not for use in diagnostic procedures

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AgriSeq Sequencing Workflow

AgriSeq Canine SNP Parentage & ID Panel and/or AgriSeq Canine Traits

& Disorders Panel addition.

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•Three general experiments were performed to

validate performance of each of the canine panels.

• 1. Orthogonal Testing Evaluation of panel accuracy.

• 2. Robustness Testing Evaluation of panel consistency.

• 3. Field Sample Testing Evaluation of panel performance.

Experimental Overview

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Experiment 1: Orthogonal Testing

• Purpose: To confirm that genotypes generated with the

AgriSeq workflow were accurate by testing with a separate,

orthogonal technology.

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Orthogonal Testing Workflow- Canine Parentage & ID

Orthogonal Testing

AgriSeq Panel

Canine Parentage: 381 Markers

Canine Defect: 154 Markers

Axiom Array

Canine Parentage: 354 Markers*

Canine Defect: 47 Markers**

CE Sequencing

Canine Parentage: 39 Markers*

Canine Defect: 115 Markers**

Canine Parentage: *12 markers were tested with both the Axiom Array and CE Sequencing.

Canine Defect: **8 markers were tested with both the Axiom Array and CE Sequencing.

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• Of the 381 markers tested, >99% of genotype calls were

concordant with AgriSeq calls.

• *3 discordant markers by Array were tested by CE. CE

Results for these markers matched AgriSeq results.

Canine Parentage and ID Orthogonal Testing

Orthogonal

Method

# Concordant

Markers to GBS

# Discordant

Markers to GBS# No Calls Concordance

CE Sequencing 36 0 3>99%

Axiom Array 349 3* 2

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• 5 markers that were unable to be genotyped by CE testing

due to poor sequencing quality and were omitted from

calculations

• Of the 149 markers that were able to be genotyped by an

orthogonal method, concordance to the AgriSeq workflow

was 100%.

Canine Traits & Disorders Orthogonal Testing

Orthogonal

Method

# Concordant

Markers to GBS

# Discordant

Markers to GBS# No Calls Concordance

CE Sequencing

Only 102 0 5

100%Axiom Array Only 39 0 0

Both CE and Array 8 0 0

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Experiment 2: Reproducibility and Repeatability

• Purpose: To test workflow robustness and genotype

call consistency through multiple replicate reactions

of a panel of samples.

• 12 DNA samples were tested in replicates of n=64 using

the AgriSeq workflow for a total of 768 barcoded libraries.

• Each library pool was sequenced twice on a 540 and 550

chip.

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• Replicate genotype concordance was calculated.

• Both panels had >99.9% replicate concordance for all

sequencing chips.

Repeatability and Reproducibility

Mean Genotype Concordance:

540 Kit: 100.0% +/- 0.1%

550 Kit: 100.0% +/- 0.1%

Mean Genotype Concordance:

540 Kit: 99.9% +/- 1.5%

550 Kit: 99.9% +/- 1.0%

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Experiment 3: Field Sample Performance

• Purpose: To determine panel performance with a

diverse set of sample.

• Tested panel of 180 samples (oral swabs) in replicates

(n=2) with each panel of the AgriSeq workflow.

• 1ng/rxn DNA was input into library prep.

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• >180 diverse canine oral swab DNA field samples with the AgriSeq

workflow.

• The mean call rate for the Canine Trait/Disorders panel was 99.1% and

the mean call rate for the Canine Parentage panel was 99.2%.

Sample Call Rates

0

10

20

30

40

50

60

70

80

90

100

0 20 40 60 80 100 120 140 160 180

Sa

mp

le C

all

Ra

te %

Sample Number

Canine Traits/Disorder Field Sample Call Rate

Mean Sample Call Rate 99.1% +/- 1.5%

159 Markers

0

10

20

30

40

50

60

70

80

90

100

0 20 40 60 80 100 120 140 160 180

Sa

mp

le C

all

Ra

te %

Sample Number

Canine Parentage ID Field Sample Call Rate

Mean Sample Call Rate 99.2% +/- 1.8%

381 Markers

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• Read uniformity

measures how evenly

you are covering target

amplicons with reads.

• Low uniformity (<90%)

can lead to marker drop-

off and poor call rates.

• The mean read

uniformity for both

panels was excellent,

even when testing a set

of very diverse field

samples (>98%).

Read Uniformity

Panel Mean Uniformity stdev

Canine

Parentage/ID

99.3% 0.4%

Canine

Trait/Defect

98.2% 0.7%

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• AgriSeq library prep kit and canine GBS panels combine into

a robust and efficient workflow for canine genotyping

applications.

• Orthogonal Concordance >99.9

• Mean Field Sample Call Rate >99%

• Replicate Genotype Concordance >99.9%

Conclusions

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Visit Thermo Fisher Scientific (booth #1) to learn about:

Experience the power of AgriSeq with 2 Enabling Options

See more - from STRs to SNPsGBS EASY Jump Start bundles

Free genotyping of your sample using

AgriSeq GBS Panels

Acknowledgements:

R&D TeamRick Conrad

Michelle Swimley

Chris Willis

Bioinformatics TeamPrasad Siddavatam

Krishna Gujjula

Haktan Suren

Chunchao Zhang

Extended TeamStacie Bush

Srinivas Chadaram

Mike Garguilo

Bruce Lau

Betsy Parker

Ravi Ramadhar

© 2019 Thermo Fisher Scientific Inc. All rights reserved. All trademarks are the property of Thermo Fisher Scientific and its subsidiaries unless

otherwise specified.