The workshop is open to students and scientists wishing to learn more about UK Biobank and related initiatives, and the computational methodology to analyse and interpret biobank datasets. In addition to in-depth information about UKB and how to access and exploit UKB data such as whole-genome sequences on the whole cohort, presentations will include discussion of other programs on precision medicine from Japan, Canada and Hong Kong, methodology for biobank scaled data generation, and practical introductions to computational methods for analysis of self-report and administrative data, polygenic risk scores, and fine-mapping.

June 11 - Day 3
Time	Title	Speakers
09:30-09:45	Opening remarks	TBD
09:45-10:30	UK Biobank: Overview of the data resource General overview of data, initial assessment & enhancements	UK Biobank
10:30-10:45	Registering and Accessing the resource Application process, costs, tips for a smooth process	UK Biobank
Break
11:15-11:45	UK Biobank Data: Health outcomes data Types of health outcomes fields, data structures and coding	UK Biobank
11:45-12:15	UK Biobank Data: Genomics data Types of genomic data available, including 500k WGS data release	UK Biobank
Lunch
13:15-14:00	Introduction to the UKB-RAP Projects, Costs, Data Structure, Jupyter/Rstudio, Running Jobs	UK Biobank
14:00-14:40	GWAS on UKB-RAP Step-through illustration, extraction of phenotypic data, performing a GWAS	UK Biobank
Break
15:10-15:50	Harnessing the power of UK Biobank in applied genetic epidemiological research	Jemma Hopewell, Oxford
15:50-16:30	Creating your own applets on UKB-RAP Overview and step-through illustration of applet creation	UK Biobank
16:30-17:30	Using biobank data across cohorts	Yoichiro Kamatani, U. Tokyo, JP
June 12 - Day 4
Time	Title	Speakers
09:00-10:30	Long-read sequencing data generation and interpretation	Tomi Pastinen, Children's Mercy Hospital, US
Break
11:00-12:30	Computational challenges and methodological approaches in building a national-scale pangenome and variome resource	Michael Olbrich, Khalifa University, AE
Lunch
13:00-14:30	Elucidating genome regulation by non-coding transcription	Piero Carninci, RIKEN IMS, JP
Break
15:00-17:00	Infectious disease & systems immunology	Jorg Fritz and Silva Vidal, McGill, CA
June 13 - Day 5
Time	Title	Speakers
09:00-10:20	Lecture- Polygenic risk score (PRS) modeling Bayesian regression on PRS	Yue Li, McGill
Break
10:40-12:00	Lecture - Phenotyping and PheWAS Automatic phenotyping with topic modeling	Yue Li, McGill
Lunch
13:00-14:30	Practical - Polygenic risk score (PRS) modeling Using the VIPRS tool (Zabad et al., AJHG 2023)	Shadi Zabad, McGill
Break
15:00-16:30	Practical - Phenotyping and PheWAS Using MixEHR-seed (Song et al., KDD 2023)	Ziqi Yang, McGill, CA