The course will enable human geneticists to analyse their large-scale genetic data using standard analytical approaches and freely available software tools. The course will cover statistical background for association studies; a primer on scripting in the most frequently used computational environments, design and analysis of such studies, interpretation of the results. Each topic will be covered by a lecture, followed by a practical exercise, which will include the use of the state-of-art software tools and example datasets.

At the end of the course, participants will be able to undertake quality control, imputation and analysis of genome-wide data using standard statistical approaches and software tools. Meta-analysis of genome-wide association studies and analysis of rare variants will also be among their skills. They will be able to evaluate critically the results of association analysis and visualise them. They will know the requirements of the study design and findings for publications in peer-reviewed journals.