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Addiction Genetics and Epigenetics Data Jamboree

Details

May 29, 2019 to May 31, 2019
Oak Ridge National Laboratory, Oak Ridge, TN

Contact

Marti Head

Additional Information

This workshop, co-sponsored by NIDA and ORNL, will discuss community submitted challenge problems and data sets and plan implementation of solutions for delivery at the annual NIDA and NIAAA Genetics Meeting that will be held in January 2020 and beyond. We hope to engage data analysis experts in the interpretation of genetic and genomic studies, facilitate interpretation and extrapolation of results through multi-species analysis, and make the best use of recent large data sets and advances in data analysis. The aim of this workshop is to create services that are interconnected and allow people to integrate data across human and model organism genetics, genomics, and epigenetic studies of addiction with the ultimate goal of understanding addiction by:

  1. Structuring, sharing, and exposing data from addiction genetics and genome studies
  2. Structuring software to make it modular and interoperable for application of different algorithms
  3. Developing data models that aggregate data and map studies onto each other
  4. Developing algorithms for research questions and integrative analysis across different data

Wednesday, May 29, 2019

Time Description Location
9:00a Introductions and Objectives Co-hosts, NIDA:
Jonathan Pollock
Roger Little
Susan Wright
Bldg 5100, Room 128, Lecture Hall
Structure of the Workshop and Deliverables Co-host, ORNL:
Marti Head
Human GWAS, Progress, and Challenges Arpana Agrawal,
Washington University,
St. Louis
Using Model Organism Data to Interpret Human GWAS: strategies, progress, and needs Elissa Chesler,
The Jackson Laboratory
10:00a Working Groups – Session 1 Lead: Multiple Bldg 5100, Rm 128
  1. Data Modeling: Integrating, sharing, harmonizing GWAS results at the variant level
  2. Data Modeling: Integrating model organism data at the gene level, gene set curation
  3. Integrative Data: Data flows, data and API standards
  4. Integrative Algorithms: Prioritizing variants in GWAS with model organism data
12:30p Lunch Cafeteria
2:00p Reports from Working Groups – Implementation Plan Lead: Head Bldg 5100, Rm 128
2:30p Working Groups – Session 2 Lead: Multiple Bldg 5100, Rm 128
  1. Data Modeling: Integrating model organism data at the variant level (strong variant-trait associations)
  2. Data Modeling: Integrating model organism data with GWAS data
  3. Integrative Data: Open authentication
  4. Epistasis, gene networks, genetic modifiers
3:30p Break for refreshments – working groups will continue
5:00p Reports from Working Groups – Implementation Plan Lead: Head Bldg 5100, Rm 128
5:45p Adjourn for the day

Thursday, May 30, 2019

Time Description Location
9:00a Intro – Feedback from Previous Day, Any Changes Lead: Pollock Bldg 5200, Tennessee A, B, C
9:30a Working Groups - Session 3 Lead: Multiple Bldg 5200, Tennessee A, B, C
  1. Data Modeling: Integrating epigenetic data (variant to regulatory feature to target)
  2. Data Modeling: Integrating eQTL data to register variants to targets
  3. Integrative Algorithms: Cross-species trait similarity, polygenic disease models
  4. Policies, Collaboration, Data Sharing, and Access Models
12:00p Lunch Cafeteria
1:30p Reports from Working Groups – Implementation Plan Lead: Head Bldg 5200, Tennessee A, B, C
2:00p Working Groups – Session 4 Lead: Multiple Bldg 5200, Tennessee B and C
  1. Data Modeling: Integrating chromatin structure data
  2. Integrative Data: Data structures, Graph DB, Cloud platforms
  3. Integrative Algorithms: Network extraction (IRF, variant-trait through mediating biology, network flow)
  4. Data curation, phenotype ontology, and documentation
3:00p Break for refreshments – working groups will continue
4:30p Reports from Working Groups – Implementation Plan Lead: Head Bldg 5200, Tennessee A, B, C
5:30p Adjourn for the day

Friday, May 31, 2019

Time Description Location
9:00a

Summaries for Each Strand: Summary of progress, implementation plans, goals and timelines for next meeting
Identification of resources/participants needed at next meeting

Lead: Pollock; Wright Bldg 5200, Tennessee A, B, C
12:00p Closing Remarks, Lunch, and Depart
Add to Calendar 05/29/2019 12:00 AM 05/31/2019 12:00 AM 15 Addiction Genetics and Epigenetics Data Jamboree This workshop, co-sponsored by NIDA and ORNL, will discuss community submitted challenge problems and data sets and plan implementation of solutions for delivery at the annual NIDA and NIAAA Genetics Meeting that will be held in January 2020 and beyond. We hope to engage data analysis experts in the interpretation of genetic and genomic studies, facilitate interpretation and extrapolation of results through multi-species analysis, and make the best use of recent large data sets and advances in data analysis. The aim of this workshop is to create services that are interconnected and allow people to integrate data across human and model organism genetics, genomics, and epigenetic studies of addiction with the ultimate goal of understanding addiction by: Structuring, sharing, and exposing data from addiction genetics and genome studies Structuring software to make it modular and interoperable for application of different algorithms Developing data models that aggregate data and map studies onto each other Developing algorithms for research questions and integrative analysis across different data Wednesday, May 29, 2019 Time Description Location 9:00a Introductions and Objectives Co-hosts, NIDA: Jonathan Pollock Roger Little Susan Wright Bldg 5100, Room 128, Lecture Hall Structure of the Workshop and Deliverables Co-host, ORNL: Marti Head Human GWAS, Progress, and Challenges Arpana Agrawal, Washington University, St. Louis Using Model Organism Data to Interpret Human GWAS: strategies, progress, and needs Elissa Chesler, The Jackson Laboratory 10:00a Working Groups – Session 1 Lead: Multiple Bldg 5100, Rm 128 Data Modeling: Integrating, sharing, harmonizing GWAS results at the variant level Data Modeling: Integrating model organism data at the gene level, gene set curation Integrative Data: Data flows, data and API standards Integrative Algorithms: Prioritizing variants in GWAS with model organism data 12:30p Lunch Cafeteria 2:00p Reports from Working Groups – Implementation Plan Lead: Head Bldg 5100, Rm 128 2:30p Working Groups – Session 2 Lead: Multiple Bldg 5100, Rm 128 Data Modeling: Integrating model organism data at the variant level (strong variant-trait associations) Data Modeling: Integrating model organism data with GWAS data Integrative Data: Open authentication Epistasis, gene networks, genetic modifiers 3:30p Break for refreshments – working groups will continue 5:00p Reports from Working Groups – Implementation Plan Lead: Head Bldg 5100, Rm 128 5:45p Adjourn for the day Thursday, May 30, 2019 Time Description Location 9:00a Intro – Feedback from Previous Day, Any Changes Lead: Pollock Bldg 5200, Tennessee A, B, C 9:30a Working Groups - Session 3 Lead: Multiple Bldg 5200, Tennessee A, B, C Data Modeling: Integrating epigenetic data (variant to regulatory feature to target) Data Modeling: Integrating eQTL data to register variants to targets Integrative Algorithms: Cross-species trait similarity, polygenic disease models Policies, Collaboration, Data Sharing, and Access Models 12:00p Lunch Cafeteria 1:30p Reports from Working Groups – Implementation Plan Lead: Head Bldg 5200, Tennessee A, B, C 2:00p Working Groups – Session 4 Lead: Multiple Bldg 5200, Tennessee B and C Data Modeling: Integrating chromatin structure data Integrative Data: Data structures, Graph DB, Cloud platforms Integrative Algorithms: Network extraction (IRF, variant-trait through mediating biology, network flow) Data curation, phenotype ontology, and documentation 3:00p Break for refreshments – working groups will continue 4:30p Reports from Working Groups – Implementation Plan Lead: Head Bldg 5200, Tennessee A, B, C 5:30p Adjourn for the day Friday, May 31, 2019 Time Description Location 9:00a Summaries for Each Strand: Summary of progress, implementation plans, goals and timelines for next meeting Identification of resources/participants needed at next meeting Lead: Pollock; Wright Bldg 5200, Tennessee A, B, C 12:00p Closing Remarks, Lunch, and Depart Oak Ridge National Laboratory, Oak Ridge, TN Marti Head headms@ornl.gov false MM/DD/YYYY HH:MM:SS

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