Analysis of GWAS Data with a Focus on Prediction of Complex Phenotypes

About

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.

Course leader

Doug Speed

Target group

To apply for the course, you must have passed a Bachelor's degree in Natural or Technical science. Ideally, students have a basic knowledge of statistics and experience with the programming language R.

Fee info