This document discusses InVitae's development of a clinical genome interpretation pipeline on Amazon Web Services (AWS). It provides an overview of InVitae's mission to provide comprehensive genetic testing for over 264 conditions from a single sample through online requisitioning, CLIA-certified sequencing, and a HIPAA-compliant system. It also describes InVitae's curation of genetic variants, custom sequencing assay design, analysis pipeline on AWS, and goals to expand its testing and reduce costs over time.
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AWS Life Sciences
1. 1/21Copyright 2013 InVitae, Inc
Reece Hart, Ph.D.
reece@invitae.com
InVitae, Inc.
invitae.com
Developing a Clinical GenomeDeveloping a Clinical Genome
Interpretation Pipeline at AWSInterpretation Pipeline at AWS
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The MissionThe Mission
To provide comprehensive,
clinically-relevant information from
genomic variation data in a single test.
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one sample
one requisition
one report
up to 264 conditions
two weeks
one lab, one price
InVitae's process features online requisitioning and reporting, CLIA-certified
sequencing, and a HIPAA-compliant information management.
intake
Requisitioning and Laboratory Information Management System
interpretationsequencing review
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Where does InVitae fit?Where does InVitae fit?
photos:
Baylor College of Medicine, Univ. Utah, learningradiology.com, sciencephotos.com
Patient presents with symptoms
If genomic interpretation might influence
diagnosis or treatment, doctor refers
patient to genetic counselor
GC takes history; sample is sent
to internal or one of hundreds of
labs that provide specific
genomic tests
Sequencing and other lab
data are processed into
preliminary iterpretation
Report is returned to GC
and/or physician who
verify interpretation and
consult with patient
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NOW
Early Access
Commercial Program
(CLIA Certified)
264
GENETIC TESTS
$1,500
2014
Goal to update offering
every six months
>1000
GENETIC TESTS
<$1,000
50x minimum, ~425x average
100% coverage of curated variants
>90% of targeted regions
SNVs, indels (<100nt), VUS
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How?How?
By deeply integrating custom genetic
curation, sequencing assay design, and
analytical pipelines.
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What's worked well at AWS?What's worked well at AWS?
➢ Performance and Capacity Scaling
● on-demand
➢ Security and VPG
● Simple, comprehensive rules for VPCs
➢ Service ecosystem: EC2, EBS, S3, R53, IAM, VPC
● boto!
➢ Future:
● Archive: S3 and Glacier?
● Investigate workflows
● Reanalysis
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What challenges have we experienced?What challenges have we experienced?
➢ Large shared fileystems
● poor and variable performance (better now)
● familiarity, flexibility, transparency
● existing software expectations
➢ Node failures
● Once upon a time... 0-3 times per day, no warning
● moved zones no longer an issue
➢ Devops
● Built our own, but moving to puppet