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.

April 11 - Day 4
Time	Title	Speakers
09:30-09:45	Opening remarks	Fumi Matsuda, Kyoto University
09:45-10:30	UK Biobank: Overview of the data resource General overview of data, initial assessment & enhancements	Lucy Burkitt-Gray, UK Biobank
10:30-10:45	Registering and Accessing the resource Application process, costs, tips for a smooth process	Daisy Vinter, UK Biobank
Break
11:15-11:45	UK Biobank Data: Health outcomes data Types of health outcomes fields, data structures and coding	Daisy Vinter, UK Biobank
11:45-12:15	UK Biobank Data: Genomics data Types of genomic data available, including 500k WGS data release	Lucy Burkitt-Gray, UK Biobank
Lunch
13:15-14:00	Introduction to the UKB-RAP Projects, Costs, Data Structure, Jupyter/Rstudio, Running Jobs	Daisy Vinter, UK Biobank
14:00-14:40	GWAS on UKB-RAP Step-through illustration, extraction of phenotypic data, performing a GWAS	Lucy Burkitt-Gray, 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	Daisy Vinter, UK Biobank
16:30-17:30	Panel discussion: Using biobank data across cohorts	Guillaume Bourque, McGill, Chair
April 12 - Day 5
Time	Title	Speakers
09:00-09:15	Introduction to biobanks and data access	Yoichiro Kamatani, UTokyo
09:15-09:45	Challenge for Precision Medicine: the Tohoku Medical Megabank Project	Masayuki Yamamoto, Tohoku University
10:15-10:45	Japan Prospective Studies Collaboration for Aging and Dementia	Toshiharu Ninomiya & Masato Akiyama, Kyushu University
10:45-11:15	National Center Biobank Network in Japan	Katsushi Tokunaga, National Center for Global Health and Medicine
11:15-11:45	Nagahama cohort study	Fumi Matsuda, Kyoto University
11:45-12:15	The BioBank Japan Project for Personalized Medicine	Koichi Matsuda, UTokyo
Lunch
13:00-13:45	CARTaGENE biobank project: CARTaGENE: a population-based cohort to study the epidemiology and genetics of diseases in the Province of Quebec (Canada)	Guillaume Lettre, Université de Montréal
13:45-14:30	Characterising the immune cell landscape at biobank scale	Yutaka Suzuki, UTokyo
Break
15:00-15:45	Investigating disease risks of mobile genetic elements in biobanks	Shohei Kojima, RIKEN
15:45-16:30	Psychiatric genomic research using biobank data	Pak Sham, University of Hong Kong
16:30-17:00	Discussion	Led by Yoichiro Kamatani
April 13 - Day 6
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
13:00-15:00	Practical - Polygenic risk score (PRS) modeling Using the VIPRS tool (Zabad et al., AJHG 2023)	Shadi Zabad, McGill
Break
15:30-17:00	Practical - Phenotyping and PheWAS Using MixEHR-seed (Song et al., KDD 2023)	Ziyang Song, McGill