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
ApplicationHow to apply
Detailed information about this course:
This 5-day advanced course aims to give an overview of new developments in the field of genome wide association studies for those with a background in genetics, epidemiology or statistics. In the first part of the course, issues concerning the design and analysis of genome-wide association (GWA) analysis will be covered using standard software such as Plink and genABEL. This part will include quality control, hands-on GWA analysis of quantitative and binary traits, methods to detect and correct for stratification, and to model epistastasis. In the second part we will extend to an integrated approach of data analysis including eSNPs and new developments in the analysis of whole sequence data.
Finally, we will discuss the perspectives for genetic testing in clinical practice. A major part of the teaching programme consists of hands-on exercises.
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.
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.