TOPMed Site Visit 2018: Difference between revisions
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'''One day: Thursday, September 13, 2018, 8:30 am - | '''One day: Thursday, September 13, 2018, 8:30 am - 4:00 pm ?''' | ||
Perhaps | Perhaps 5 1/2 total hours of presentations. | ||
= Draft Agenda = | = Draft Agenda = | ||
| Line 59: | Line 57: | ||
== Break (30 minutes) == | == Break (30 minutes) == | ||
== | == Summary of contract spending to date (20 minutes) == | ||
'' | ''Denise Bianchi and Goncalo Abecasis will present this section'' | ||
* Broad subdivisions: personnel, cloud storage, cloud computing, hardware | |||
* Divided between Task 1 and Task 2 | |||
== Improved results from the latest TOPMed imputation panel (20 minutes) == | |||
''Goncalo Abecasis will present this, unless Lukas Forer is available. Ketian Yu to prepare summaries of imputation quality'' | |||
'' | [[Media:nhlbi.4761.imputation.accuracy.2018aug31.pptx|'''(slides)''']] | ||
* Principle of operation | * Principle of operation | ||
| Line 82: | Line 76: | ||
* Challenges and opportunities from collaboration and integration with NIH Commons / NHLBI Stage | * Challenges and opportunities from collaboration and integration with NIH Commons / NHLBI Stage | ||
== Potential Population Genetics Update ( | == Potential Population Genetics Update (20 minutes) == | ||
'' Check with Sebastian Zoellner'' | '' Check with Sebastian Zoellner'' | ||
== Cloud access to TOPMed sequence data (20 minutes) == | |||
''Tom Blackwell to take the lead on this section'' | |||
[[Media:nhlbi.4768.fusera.slides.01.pdf|'''(slides)''']] | |||
* NCBI's 'Fusera' controlled access mechanism | |||
* User perspective -- involves a Google or Amazon billing project | |||
* What is needed for users to have a great overall experience? | |||
* Education and training for users | |||
== Lunch (70 minutes) == | |||
== ENCORE analysis server (20 minutes) == | |||
''Matthew Flickinger will present this section'' | |||
* Principle of operation | |||
* Releases only aggregate data summaries | |||
* Visualizations help to assess results | |||
* Data sharing and collaboration tools | |||
* Capability to re-run previous jobs with new data | |||
* SAIGE analysis gives accurate results in case-control studies | |||
* Usage statistics comparing last 12-months to previous 12-months | |||
* Some highlights from user survey results | |||
== Manuscript support (30 minutes) == | == Manuscript support (30 minutes) == | ||
| Line 99: | Line 119: | ||
* Context specific mutation rates | * Context specific mutation rates | ||
* Data sharing with Centers for Common Disease Genetics | * Data sharing with Centers for Common Disease Genetics | ||
== Interactions with outside groups (30 minutes) == | == Interactions with outside groups (30 minutes) == | ||
| Line 112: | Line 130: | ||
* NIMH Parkinsons Disease Consortium | * NIMH Parkinsons Disease Consortium | ||
== | == Break (20 minutes) == | ||
== Future plans for the next Task Order (30 minutes) == | |||
== Feedback from NHLBI (40 minutes) == | |||
== | == Finish (3:50 pm) == | ||
Revision as of 11:43, 4 September 2018
One day: Thursday, September 13, 2018, 8:30 am - 4:00 pm ?
Perhaps 5 1/2 total hours of presentations.
Draft Agenda
Introduction and Overview of TOPMed data resources and services (30 minutes)
Goncalo Abecasis will present overview of IRC activies
- Introduce IRC personnel and their expertise
- Sequence for 130,000+ participants
- Variant calls and genotypes, phased and unphased
- Structural variant calls in progress
- BRAVO variant browser
- ENCORE analysis server
- TOPMed imputation reference panel
- Main developments in the past year, including security improvements, Manual, etc.
Characteristics of variants in data freeze 6 (20 minutes)
Hyun Min Kang and Jonathan LeFaive will present this section
- Overall numbers
- Differences by ancestry, study and sequencing center
- Allele frequencies of deleterious variants
- Genotype accuracy
- Compare harmonized versus sequencing center mappings
- Process for variant calling, genotyping, filtering, phasing and distribution
- Process for interim 'snapshot' genotypes
Calling structural variants (20 minutes)
Our colleagues at Baylor will present this section. William Salerno?
- Procedures and plans for structural variant calling
- Benefits of ensemble approach
- Initial results
- Data access mechanisms
- Anticipated data size
- Coordination with SNPs and indels
BRAVO variant browser helps to assess variant quality (20 minutes)
Daniel Taliun will present this section
- Purpose
- Which studies are included
- Usage / main features
- Both rare and common variants
- Improvements in the last year
- Access via an applications programming interface (API)
- View all information used in filtering
- Coordination with gnomAD
- Potential plans for PheWeb integration
Break (30 minutes)
Summary of contract spending to date (20 minutes)
Denise Bianchi and Goncalo Abecasis will present this section
- Broad subdivisions: personnel, cloud storage, cloud computing, hardware
- Divided between Task 1 and Task 2
Improved results from the latest TOPMed imputation panel (20 minutes)
Goncalo Abecasis will present this, unless Lukas Forer is available. Ketian Yu to prepare summaries of imputation quality
- Principle of operation
- Measuring imputation quality in different populations
- Pushing the low frequency boundary
- Improved accuracy for African American and Latino samples
- Challenges and opportunities from collaboration and integration with NIH Commons / NHLBI Stage
Potential Population Genetics Update (20 minutes)
Check with Sebastian Zoellner
Cloud access to TOPMed sequence data (20 minutes)
Tom Blackwell to take the lead on this section
- NCBI's 'Fusera' controlled access mechanism
- User perspective -- involves a Google or Amazon billing project
- What is needed for users to have a great overall experience?
- Education and training for users
Lunch (70 minutes)
ENCORE analysis server (20 minutes)
Matthew Flickinger will present this section
- Principle of operation
- Releases only aggregate data summaries
- Visualizations help to assess results
- Data sharing and collaboration tools
- Capability to re-run previous jobs with new data
- SAIGE analysis gives accurate results in case-control studies
- Usage statistics comparing last 12-months to previous 12-months
- Some highlights from user survey results
Manuscript support (30 minutes)
Albert Vernon Smith will present overview for this section
- How can and how is the IRC supporting TOPMed manuscripts and discoveries?
- Overall TOPMed landmark paper
- Analysis of telomere length
- Mitochondrial DNA copy number
- Lipids analysis using TOPMed imputed genotypes
- UK BioBank with TOPMed imputation
- Context specific mutation rates
- Data sharing with Centers for Common Disease Genetics
Interactions with outside groups (30 minutes)
Albert Vernon Smith to take the lead on this section
- NIH Data Commons
- NHLBI Data STAGE
- NHGRI Centers for Common Disease Genetics
- Global Alliance for Genomics and Health (GA4GH)
- NIMH Parkinsons Disease Consortium
