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© 2010 Illumina, Inc. All rights reserved. Illumina, illuminaDx, Solexa, Making Sense Out of Life, Oligator, Sentrix, GoldenGate, GoldenGate Indexing, DASL, BeadArray, Array of Arrays, Infinium, BeadXpress, VeraCode, IntelliHyb, iSelect, CSPro, GenomeStudio, Genetic Energy, HiSeq, and HiScan are registered trademarks or trademarks of Illumina, Inc. All other brands and names contained herein are the property of their respective owners. Benefits to validating GWAS studies with custom genotyping Daniel Peiffer, PhD Sr. Product Manager Genotyping Applications

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Page 1: Benefits to validating GWAS studies with custom genotyping · GoldenGate Indexing ® • 1 - 384-plex • GoldenGate Assay • ASPE Assay • Cost effective solution for QC and screening

© 2010 Illumina, Inc. All rights reserved.Illumina, illuminaDx, Solexa, Making Sense Out of Life, Oligator, Sentrix, GoldenGate, GoldenGate Indexing, DASL, BeadArray, Array of Arrays, Infinium, BeadXpress, VeraCode, IntelliHyb, iSelect, CSPro, GenomeStudio, Genetic Energy, HiSeq, and HiScan are registered trademarks or trademarks of Illumina, Inc. All other brands and names contained herein are the property of their respective owners.

Benefits to validating GWAS studies with custom genotyping

Daniel Peiffer, PhDSr. Product Manager

Genotyping Applications

Page 2: Benefits to validating GWAS studies with custom genotyping · GoldenGate Indexing ® • 1 - 384-plex • GoldenGate Assay • ASPE Assay • Cost effective solution for QC and screening

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Cycle of discovery and validation

Custom genotyping applications

Application in study design

Overview of Illumina technologies

Overview

Page 3: Benefits to validating GWAS studies with custom genotyping · GoldenGate Indexing ® • 1 - 384-plex • GoldenGate Assay • ASPE Assay • Cost effective solution for QC and screening

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Next-Gen SequencingIdentifying Variants

Low Density PanelsBarcoding &

QCing Samples

Targeted resequencing

GWAS ArraysConfirming

Variants

Low Density Arrays

Deploying Variants

Custom Validation Arrays

Re-Confirming Variants

RNA-sequencing

Presenter
Presentation Notes
Discuss utility of each step as outline for entire process Low density panels as a new step gaining traction low density at end as a translational step to diagnostic and therapeutic panels ref omni discussion from Jen/Carsten at GWAS step
Page 4: Benefits to validating GWAS studies with custom genotyping · GoldenGate Indexing ® • 1 - 384-plex • GoldenGate Assay • ASPE Assay • Cost effective solution for QC and screening

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Custom Genotyping Applications

Sample quality control

Sample barcoding (identification) / fingerprinting

Candidate gene region studies

Deeper follow-up of meta analysis hit list

Fine mapping of GWAS hit regions

Detection of lower frequency variants

Page 5: Benefits to validating GWAS studies with custom genotyping · GoldenGate Indexing ® • 1 - 384-plex • GoldenGate Assay • ASPE Assay • Cost effective solution for QC and screening

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Common Considerations When Designing a Custom GT Project

Complexity of disease / focus of study

Breadth of information currently known on disease / focus

Sample size targeted for adequate power of study

Availability (value) of samples

Consistency of sample preparation and identification

Availability of funding

Timelines driving project

Presenter
Presentation Notes
All of these contribute to how the entire study is designed and what level of info is available for expanding the follow up into validation and new discovery. Walk through each point to describe how it impacts the study deisgn.
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Illumina’s Custom Genotyping Solutions

• 3K - 200K-plex• Infinium HD Assay• Guaranteed >80% beadtype success rate• Multi-sample BeadChip formats

iSelect®HD

• 96 - 3K-plex• GoldenGate Assay• 32-sample BeadChip format• Scalable integration with LIMS and automation

GoldenGate®

• 96 - 384-plex• GoldenGate Assay• Highest throughput (up to1,536 samples per run)• Fully integrated LIMS + automation

GoldenGateIndexing®

• 1 - 384-plex• GoldenGate Assay• ASPE Assay• Cost effective solution for QC and screening

VeraCode®

• 48 samples – up to 4-plex• Open platform, supports all chemistries and real-time PCR applications,

including HRM, GEX, SNP genotyping, viral load and SBS library validation• +/- 0.1oC temperature uniformity, 1 copy sensitivity• 12”x12”x13”, 30 lbs

Eco™ Real-Time PCR

System

Presenter
Presentation Notes
Walk through each one, can give a little more info than what is actually here
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200,0003,000 60,800

Infinium iSelect®HD Custom Genotyping

24x1 12x1

Presenter
Presentation Notes
Page 8: Benefits to validating GWAS studies with custom genotyping · GoldenGate Indexing ® • 1 - 384-plex • GoldenGate Assay • ASPE Assay • Cost effective solution for QC and screening

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Researchers incorporate some or all of the following into their study design:

Key hits from initial GWAS

SNPs with compelling ρ trends from previous studies (if done)

SNPs from GWAS arrays in LD blocks around hit regions

SNPs in regions of interest (e.g., HLA, MHC, suspected gene regions)

Wild card SNPs of interest

Loci for copy number variation information

Custom Genotyping Applications:Replication / Validation / Candidate Gene Region

Presenter
Presentation Notes
The meat of the presentation Yes doing key hits is necessary but there is so much extra value in expanding the set to include more info. Pubs = few recent examples. 100’s alone on ILMN tech.
Page 9: Benefits to validating GWAS studies with custom genotyping · GoldenGate Indexing ® • 1 - 384-plex • GoldenGate Assay • ASPE Assay • Cost effective solution for QC and screening

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Core Service labs like CIDR* have begun implementing barcoding as a standard process prior to running GWAS or large custom genotyping projects

Findings: – Avg. savings on a 3,000-sample GWA study was $40,000 (excluding labor)

– Maximum savings to date was over $300,000

Custom Genotyping Applications:Sample QC / Sample Barcoding

Gender ID MendelianInconsistencies

Sample Quality Genotyping Barcode

Ensure Project and Data Quality

*ASHG 2009 Poster: Impact of sample pretesting in a high through-put genotyping facility. B. Marosy, C. Boehm, B. Craig, J.Romm, C. Oncago, M. Zilka, M. Adams-Carr, Y. Osimokun, K. Hetrick, H. Ling, E. W. Pugh, K. F. Doheny CIDR/GRCF-IGM, JHU-SOM, Baltimore, MD.

Presenter
Presentation Notes
What is the value of sample QC. Walk through example of how this has helped CIDR and others like it Be respective and aware that not all labs will do this, or have the resources to afford it or feel it necessary but speak to value of cost savings plus additional value of labor saved etc.
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Custom Genotyping Applications:Implementing LIMS in High Throughput Processing

Track samples and reagents through the entire process

Reduce sample to sample variability

Reduce sample handling and processing errors

Dramatically increase throughput

Tracking QC

Workflow Management Reporting

LIMS

Presenter
Presentation Notes
Very brief slide for most audiences. Speak to increased accuracy and decreased variability if labs have high value samples and/or high throughput needs
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Rat Citrus

Wheat HoneyBee

Armadillo

Cacao

Rhesus

Cat

Canola

Rice

Atlantic Cod

LettuceFalse

Brome

SheepSwine

HorseCattle

Human

PeachPoplar

Rye grass

Turkey

Soy BeanBarleyCitrus

Cotton Rapeseed Spruce

MouseCornPine

Chicken

Dog

TomatoAtlantic Salmon Grape

Vine

Sweet Sorghum

P. falciparum

Zebra Finch

Zebra Fish

Applications

Custom Genotyping on the Infinium AssayThe right content lets you capture more biology

Genome-wide selection

Genetic Prediction

SNP discovery

Commercial Agriculture screening panels

Targeted follow-up studies after GWAS

Targeted disease panels

Targeted rare variant panels

Sample QC and tracking panels

Consumer Genomics

Forensics

Presenter
Presentation Notes
Moving away from genome-wide association studies, I’d like to now switch gears and tell you about Illumina’s portfolio for focused and custom genotyping products. As you can see in the collage of pictures, Illumina has extensive experience designing custom arrays for a variety of human and non-human species. Some of the major applications researchers come to us for include: ‘read the list of apps from the slide’ Our custom gt offerings span a very dynamic range of densities: from 200K all the way down to 48-plex
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Example of Focused Genotyping Panels - Ag

BovineSNP50/BovineHD– Developed in collaboration with USDA – Beltsville, University of Missouri, and

University of Alberta

CanineSNP20/CanineHD– Developed in collaboration with the LUPA consortium

– ~170K validated SNP probes derived from the CamFam2.0 assembly

EquineSNP50 – Developed in collaboration with: International Equine Genome Mapping

Workshop and the Morris Animal Foundation's Equine Genome Consortium

PorcineSNP60– Developed in collaboration with Int’l Porcine SNP Consortium (Martien

Groenen: Wageningen Univ)

OvineSNP50– Developed in collaboration with the International Sheep Genomics Consortium

(ISGC)

MaizeHD– Developed in collaboration with Pioneer, Syngenta, USDA, and Trait Genetics

Presenter
Presentation Notes
Here are a few example of how our customers are using the iSelect platform to create 100% customizable content for use in cardiovascular disease, cattle and dog typing etc…These panels all started as custom iSelect projects and were later commercialized and made available to the public. This platform is very popular and customers are using it for both human and non-human CVDSNP55 Developed in collaboration with the Institute of Translational Medicine and Therapeutics at the University of Pennsylvania, the Broad Institute and the National Heart, Lung and Blood Institute’s Candidate-gene Association Resource Over 55,000 SNPs in candidate genes selected for vascular disease phenotypes Allow researchers to access approximately 2,100 genes believed to be involved in myocardial infarction, heart failure, stroke, insulin resistance, metabolic disorders, dyslipidemia and inflammation Consortium plans to analyze over 120,000 samples from large population studies and clinical trials Multi-sample format (12x1), Call Rates greater than 99% Shipping in Q1 BovineSNP50 Currently Shipping Developed 50,000 SNP Illumina iSelect® assay USDA-ARS Beltsville Agricultural Research Center: Bovine Functional Genomics Laboratory and Animal Improvement Programs Laboratory University of Missouri University of Alberta USDA-ARS US Meat Animal Research Center Over 54,000 robust SNPs per assay (including 23K+ from the Genome Analyzer, 12K+ from Bovine HapMap, etc.) Have plans to genotype >30,000 animals for multiple projects Over 105m head of cattle in the US alone - SNP Genotyping used for selective breeding to determine elements of beef production such as “marbling quality” (518 SNPs associated with marbling), and dairy production Goals of Initial Research - SNPs used to map QTLs and aid in selective breeding of cattle - Gene discovery for better meat and milk production and quality - Discover elements responsible for disease, growth, and development - Assist modeling of human disease - Study the history of domestication of cattle - Explore evolution of genomes under strong selection CanineSNP20 Currently Shipping Develop 20,000 SNP Illumina iSelect® assay Over 22,000 validated SNP probes derived form the CanFam 2.0 assembly (Broad’s Dog Genome Sequencing Project) Have plans to genotype over 4,000 animals for multiple projects EquineSNP50 The EquineSNP50 genotyping BeadChip is currently in development and due to launch Q1 this year. Developed in collaboration with the International equine Genome Mapping workshop and the Morris Animal Foundation’s equine Genome Consortium and with content derived from Broad Institute’s Equine Genome Sequencing project, this array promises to be highly informative across equine breeds and ideal for genome-wide investigation of genetic variation in horses.
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Examples of Focused Genotyping Panels - Human

HumanCVD– Developed in collaboration with the Institute of Translational Medicine and Therapeutics at

the Univ. of Pennsylvania, the Broad Institute, and the NHLBI

– Candidate diseases include myocardial infarction, heart failure, stroke, insulin resistance, metabolic disorders, dyslipidemia and inflammation

Human Cardio-Metabo– Developed in collaboration with Broad, University of Michigan, Sanger

– Interrogates loci of interest for researchers studying the genetics of the Cardiovascular and Metabolic disease in humans

Presenter
Presentation Notes
CVDSNP55 Developed in collaboration with the Institute of Translational Medicine and Therapeutics at the University of Pennsylvania, the Broad Institute and the National Heart, Lung and Blood Institute’s Candidate-gene Association Resource Over 55,000 SNPs in candidate genes selected for vascular disease phenotypes Allow researchers to access approximately 2,100 genes believed to be involved in myocardial infarction, heart failure, stroke, insulin resistance, metabolic disorders, dyslipidemia and inflammation Consortium plans to analyze over 120,000 samples from large population studies and clinical trials Multi-sample format (12x1), Call Rates greater than 99% Shipping in Q1 You’ll have to wing it on Metabo, but I think you will be just fine... CanineSNP20 Currently Shipping Develop 20,000 SNP Illumina iSelect® assay Over 22,000 validated SNP probes derived form the CanFam 2.0 assembly (Broad’s Dog Genome Sequencing Project) Have plans to genotype over 4,000 animals for multiple projects
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The Right Technology Enables Truly Novel Discovery

Cont

ent

Den

sity

Time from Content Design to Analyzed Results

Months

Targeted Re-Sequencing

Array Genotyping Multi-plex PCRMass Spec

Hig

hLo

w

Structural Variations, SNP Discovery

Fine mapping hit regionsSNPs in LD, wild card

Top Hits

Weeks

Presenter
Presentation Notes
First reference Jen (or Carsten’s) swoosh slide Second talk about levels of content Third talk about technologies and time to make use of it Allude to Eco for PCR. Again speak to value of additional content as move to array GT (ref iSelect, GG, etc.) really point out length of time for TRS but that you do get a lot more information
Page 15: Benefits to validating GWAS studies with custom genotyping · GoldenGate Indexing ® • 1 - 384-plex • GoldenGate Assay • ASPE Assay • Cost effective solution for QC and screening

© 2010 Illumina, Inc. All rights reserved.Illumina, illuminaDx, Solexa, Making Sense Out of Life, Oligator, Sentrix, GoldenGate, GoldenGate Indexing, DASL, BeadArray, Array of Arrays, Infinium, BeadXpress, VeraCode, IntelliHyb, iSelect, CSPro, GenomeStudio, Genetic Energy, HiSeq, and HiScan are registered trademarks or trademarks of Illumina, Inc. All other brands and names contained herein are the property of their respective owners.

Thank You and Questions

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Choosing a product…

Factors for Consideration

Complexity of disease / focus of study

Breadth of information currently known

Sample size targeted for adequate power of study

Availability (value) of samples

Consistency of sample preparation and identification

Timelines driving project

Availability of funding

Speed Results

Presenter
Presentation Notes
Really phrase it that the customer needs to evaluate all technologies and what will fit with their needs First talk to left side – so how do you choose a product. Funding and time really the key drivers But if available you get so much more from additional content Second speak to right side..other components we didn’t talk about as much LIMS/automation – brief mention that not all technologies can integrate these and depending on needs could be an issue DQ – spend more time here. Mention ILMN tech is know for its DQ Mention mass spec has issues that result in high re-queue rates and this will impact time and cost Mention that several companies have tried to increase throughput and plex levels of Taqman. Some have been more successful than others. Design Support – spend more time here -talk about ADT and all the support ILMN offers. Mention not the same level of support for all technologies - Can allude to some companies providing technology while custom design support is through an alternate vendor (i.e. fludigm), and that we will work as closely as needed.