This course is open for applications from May 1 – May 31
Overall aim – teach students how genome-wide association studies (GWAS) are used to understand and predict complex traits.
Objective 1 - teach students the methods being used to analyse GWAS. These will include both basic analyses (e.g., quality control and single-SNP tests of association) and advanced methods (e.g., heritability analyses).
Objective 2 - teach students how to construct prediction models (i.e., to be able to predict an individual’s risk of developing a disease, given their genetic information).
Objective 3 – teach students how to use popular genetic software.
Exam info and full course description can be found in the course catalogue.
Course specific:
To apply for the course you must have passed a relevant Bachelor's degree.
There are no necessary prerequisites. However, ideally students will have a basic knowledge of statistics and experience with the programming language R.
General:
Exchange Students: nomination from your home university
Freemovers: documentation for English Language proficiency
You can read more about the admission here.
