Introduction to Genome-Wide Association Studies [EL017]
Monday to Friday, assignment due after the course
Linda Broer, Carolina Medina Gomez, Cindy Boer, Vid Prijatelj, Andre Uitterlinden, Michael Vebiest, Fernando Rivadeneira
Erasmus MC, Rotterdam NL
Understanding of genetic epidemiology and statistics (regression analysis and maximum likelihood estimation); experience in working with the Linux command line interface, e.g. at the level of the "Linux for Scientists" course (EL016 or previously SC09).
- Genetic Epidemiology
Detailed information about this course:
This 5-day introductory course aims to give an overview of the field of Genome Wide Association Studies (GWAS). During the first half of the course we focus on the biological knowledge required to understand GWAS as well as the design of GWAS studies and basic skills required to perform GWAS. In the second half of the course you will perform a GWAS as well as post-GWAS analyses to help you understand the field as a whole. GWAS is a skill one can only master by practice, which is why we give you ample opportunity to practice what we have taught you and learn the skills needed to perform your own GWAS.
See 'how to apply' for the course registration period.
Gain insight in new developments in the field of genome wide association studies.
Epidemiologists, geneticists, biostatisticians, investigators/physicians involved in clinical and pharmacological research.
Reduction on fees
PLEASE NOTE: This does not apply to the fee of the research master programmes (120 EC points)
No fees are charged for Erasmus MC PhD candidates, provided they have an account in Hora Finita, the Erasmus University PhD registration system. When submitting the application, you can state that someone else pays your tuition fee.
In case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD candidates without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD candidate.