Transcript
Page 1: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

Path-OS: The Curation of Cancer Samples

Ken Doig – Bioinformatics Research Core

Peter MacCallum Cancer Centre

[email protected]

Page 2: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

Agenda

•  Context •  System overview •  Amplicon Panels •  Filtering •  Futures

22 May 2014 HVP5 Path-OS 2

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The Context

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What we do

•  Peter MacCallum Cancer Centre –  Molecular Pathology Department

•  Provide pathology services to the hospital and ext. labs. •  Blood and tumour tissue samples •  Targeted genetic sequencing using amplicon panels •  Between 4-50 cancer specific genes •  Looking for needles in haystacks •  Very sensitive assays

...

... AAAAGCAGGT TATATAGGCT AAATAGAACT AATCATTGTT TTAGACATAC TTATTGACTC TAAGAGGAAA TCATAATGCT TGCTCTGATA GGAAAATGAG ATCTACTGTT TTCCTTTACT TACTACACCT CAGATATATT TCTTCATGAA GACCTCACAG TAAAAATAGG TGATGTTGGT AGCTAGGAGT GAAATCTCGA TGGAGTGGGT CCCATCAGTT TGAACAGTTG TCTGGATCCA TTTTGTGGAT GGTAAGAATT GAGGCTATTT TTCCACTGAT TAGTTCCCAG TATTCACAAA AATCAGTGTT CTTATTTTTT ATGTAAATAG ATTTTTTAAC TTTTTTCTTT ... ...

22 May 2014 HVP5 Path-OS 4

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Peter Mac Curation Scope

•  Automate the processing from sequencer to draft report

•  Automate curation evidence collection •  Sanitise data from external sources

•  Automated reporting

•  Best practice software engineering

22 May 2014 HVP5 Path-OS 5

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The System

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Patient Sample

Genologics wet lab LIMS

External Variant DBs •  COSMIC •  Ensembl •  Annovar •  UCSC •  Clinvar etc

Loader

Pipeline data repository FASTQ

BAM VCF VEP

Pipeline PipeCleaner

PathOS

Web Server

Pipeline Validation QC

Reporting

Pipeline configuration

Sequencers

ETL configuration

Periodic DB download and integration

Sequencing QC

Clinical Reporting

Read QC

Synthtetic Reads Known samples

Filtering configuration

Users •  molecular scientists •  clinicians •  researchers

Export curated variants to global repositories

Hospital Records

22 May 2014 HVP5 Path-OS 7

Path-OS Overview

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Run QC

This run in the context of past runs of the same panel

Per sample read yield highlighting below average

Amplicon performance read distribution

22 May 2014 HVP5 Path-OS 8

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Classification Page

22 May 2014 HVP5 Path-OS 9

Automatically generated

classification

Justification free text field

Check boxes for variant evidence

Evidence type tool tip

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Classifying variants for the clinic

22 May 2014 HVP5 Path-OS 10

C5: Pathogenic

C4: Likely pathogenic

C3: Unknown pathogenicity

C2: Unlikely pathogenic

C1: Not pathogenic

5 Level Classification

Stand alone

Strong

Supporting

Criteria

or or

Pathogenic evidence

Stand alone

Strong

Supporting

Benign evidence

=

or =

or = or

or =

All other combinations =

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Software Components Role Package Overview

Language Groovy Java on steroids, powerful JVM language

Web Framework Grails Rich Groovy based high productivity framework

Code repository GitLab Private GitHub instance

Database MySQL Widely adopted RDB, good performance

User interactivity Javascript plugins Leverage best available js e.g. Jquery, Google Charts

Object Persistence Hibernate Java standard for mapping POJOs to RDB

Searching Lucene Full-featured text search engine

IoC Layer Spring Java standard for inversion of control

IDE IntelliJ Comprehensive developers environment for Java etc

Build Management Gradle Groovy based DSL leverages Ant and CoC

DB Migration Mgmt LiquiBase DSL based data migration tool for schema versioning

Issue Management Jira Best of breed issue management tracker

LIMS GenoLogics User friendly LIMS for NGS

Aligner Primal Peter Mac in-house amplicon aligner, tuned for amplicons

Variant Caller VarScan 2 Suitable for somatic and germline (for now)

Annotation Ensembl, Annovar Rich set of annotations for multiple transcripts

22 May 2014 HVP5 Path-OS 11

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The Panels

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Somatic Panel

22 May 2014 HVP5 Path-OS 13

Oncogenes

Tumour suppressors

Consequence type

Other

Missense

Frame shift

Splice site

Stop gained

Gene type

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6.2$%$

25.5$%$

0$

20$

40$

60$

80$

100$

Single$ Duplicate$

Varia

nt'Allele'Frequ

ency'(%

)'

Variant'Allele'Frequency'for'Soma7c'Panel'Replicates'

Somatic Replicates

22 May 2014 HVP5 Path-OS 14

0"

5"

10"

15"

20"

25"

30"

0'"<10" 10'<20" 20'"<30" 30'"<40" 40'"<50" 50'"<60" 60'"<70" 70'"<80" 80'"<90" 90'100"

Mean%diffe

rence%in%variant%freq

uency%be

tween%replicates%(%

)%

Variant%Read%Frequency%%%(Error:%S.E.M.)%

Replicate%Variant%Frequency%Differences%

72% 28% n=14,771

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Amplicon artifacts

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The Filtering

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Filtering Variants

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0 20 40 60 80 100

1e+0

01e

+02

1e+0

41e

+06

dbSNP Variants

Allele Frequency

Varia

nt C

ount

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0 20 40 60 80 100

1e+0

01e

+02

1e+0

41e

+06

COSMIC Variants

Allele Frequency

Varia

nt C

ount

Raw Polymorphisms

Somatic Passed

Page 18: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

Sample Curation Page

22 May 2014 HVP5 Path-OS 18

In-silico and DB classifiers

Filter Flags

Page 19: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

Variant Searching and Filtering

22 May 2014 HVP5 Path-OS 19

“OR” clause

Template searches

Variant attribute

Predicate

Value

Page 20: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

Variant Filter Attributes

Filter Flag Description Filter Criteria pass Passed all filters no filters match

vaf Low Variant Allele Frequency < 8% Somatic <15% Germline

vrd Low Total Read Depth < 100 vad Low Variant Read Depth < 50 blk Assay panel specific black list user defined con Inferred Benign Consequences system defined gmaf High Global Minor Allele Frequency > 1% pnl High Variant Frequency in Panel > 50% sin Singleton variant in duplicate sample for run Not in both samples amp Uneven read distribution across amplicons Single amp. bias

22 May 2014 HVP5 Path-OS 20

Multiple filter flags may be assigned per variant

Page 21: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

Filter effects

22 May 2014 HVP5 Path-OS 21

0.0#

1.0#

2.0#

3.0#

4.0#

5.0#

6.0#

GMAF#>#1%# Benign#Consequences# Passed#all#filters# Reportable#

Mean%CA

DD%sc

ores%(scaled%scores%0%log)%

Filtering%Criteria%(all%S.E.M.%<%0.1)%

Effect%of%filtering%on%CADD%scores% Without#Filter#

With#Filter#

Average#CADD#scores#for#variants#(top#20%)#

Page 22: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

The Future

Page 23: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

In the Pipeline…

•  Pluggable modular pipelines (using bpipe)

•  Upload existing FASTQ, BAM and VCF files

•  PipeCleaner for Pipeline validation

•  Include CNV and fusion modules

•  Drugability of variants and clinical trials

•  Write paper…

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Page 24: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

Acknowledgements

•  Molecular Pathology Department –  Andrew Fellowes –  Anthony Bell –  Stephen Wong

•  Peter Mac Bioinformatics –  Jason Ellul –  Jason Li –  Maria Doyle –  Franco Caramia

•  Cancer 2015 –  John Parisot

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Email: [email protected]

Page 25: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

Additional Slides

Page 26: The Curation of Molecular Pathology Cancer Samples - Kenneth Doig

Column Chooser & Ordering

22 May 2014 HVP5 Path-OS 26


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