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Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

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Genomics England 100,000 genomes Overall aims - Advance genomics medicine (integrate into NHS) - Increase research - Boost the private sector in the field The main focus of the program is cancer and rare disease. Huge efforts into setting up the logistics circle. Long-term to transform clinical diagnostics from using sequencing to try to confirm/reject a specific diagnosis, to make a more general match of the patient’s genotype-phenotype profile to a large curated genotype- phenotype space. Goal 100,000 genomes sequenced by the end of 2017 (!)

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Page 1: Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

Cancer genomics, WGS

SciLifeLab Human WGS ToolBox Nov 2015Björn Nystedt, SciLifeLab Bioinformatics platform

Page 2: Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

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Why are we here today?

• Human WGS is becoming routine and will be used both for basic science and for medical discovery and diagnostics

• SciLifeLab provides multiple resources around Human WGS, which are open to all Swedish researchers

• The challenges in handling and analyzing Human WGS data calls for collaborations and community knowledge sharing

Page 3: Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

Genomics England 100,000 genomes

Overall aims- Advance genomics medicine (integrate into NHS)- Increase research- Boost the private sector in the field The main focus of the program is cancer and rare disease.Huge efforts into setting up the logistics circle. Long-term to transform clinical diagnostics from using sequencing to try to confirm/reject a specific diagnosis, to make a more general match of the patient’s genotype-phenotype profile to a large curated genotype-phenotype space.

Goal100,000 genomes sequenced by the end of 2017 (!)

Page 4: Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

SciLifeLab

National service Local scientific center

SciLifeLab

Director: Olli KallioniemiCo-director: Lena Claesson-Welsh

Vision: To be an internationally leading center that develops, uses and provides access to advanced technologies for molecular biosciences with focus on health and environment.

www.scilifelab.se

2010: Strategic research initiative2013: National resource2015: New management/chairman

Page 5: Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

Human WGS at SciLifeLab

Call for National Projects

Karin Dahlman-

Wright

Computer resources

Ola Spjuth/Mart

in Dahlö

Bioinformatics toolbox

Björn Nystedt

Ethics

Richard Rosenquist

The Human WGS Steering Committee

Data coordination

center

Johan Rung

Reference database

Ulf Gyllensten/Adam Ameur

Sequencing and

primary analysis

Ellen Sherwood

SciLifeLab management

Clinical Diagnostics

NGI (Clinical Diagnostics)

Bioinformatics +SNIC (Uppmax)

Researcher

Page 6: Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

Human WGS sequencing

Cheap genomes for all ;)

Oct 2015:$1150, 70 projects, 2300 + 1000 genomesCapacity 5-10,000 genomes/year

Page 7: Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

What is the Human WGS ToolBox?

• A discussion and coordination forum  

• The bioinformatics platform contributes ~2 FTE to ToolBox implementations

• Intend to complement current deliveries from the sequencing platform

• Community building• Guidelines• Tools• Training

ToolBox

https://wabi-wiki.scilifelab.se/display/SHGATG/

Page 8: Cancer genomics, WGS SciLifeLab Human WGS ToolBox Nov 2015 Björn Nystedt, SciLifeLab Bioinformatics platform

What we do right now

• GATK for hg38

• Structural variation: Benchmark, combine tools, compare samples

• Tumor/Normal/(relapse) somatic variant calling

• Variant significance tools: Burden tests etc.

Some future challenges• Epigenetics• Time-series designs (Embryo dev, Cell diff, Cell aging)• Phased genomes (Imputation, 10X)• Integrative designs• Single-cell genomics