GSMS Course Registration

All GSMS courses

Only GSMS PhD students (including BCN PhD students) can participate in these courses. Use your P-number to register (ask your Personnel Office).

For registration please go to Upcoming courses.

Course: Introduction to Genetic Epidemiological Research and Data Analysis

In this course the participants will learn about the basic principles of genetic (epidemiological) research with a focus on family-based heritability studies as well as population-based candidate gene and genome-wide association studies. The relevant background of human genetics and statistics will be explained during interactive theoretical lectures taught by experts.


The basics of human genetics will include concepts such as DNA, single nucleotide polymorphisms, and haplotypes. Lectures will include research related issues such as the strengths and weaknesses of different study designs, the effect of population structure and population stratification, and multiple comparisons issues.


The theoretically acquired knowledge on human genetics and statistics will be applied in practical classes. The participant will get familiar with study design issues (tagging strategies, power calculation) and the basic statistics that are necessary to analyse genetic data such as descriptive data analyses, Hardy-Weinberg and Linkage Disequilibrium testing, testing of genotype effects in different types of data, and approaches to deal with the multiple testing issues. Common (freely available) statistical programs to perform genetic data analysis will be used, such as Mx, HaploView, QUANTO etc.


Learning aims: At the end of the course the participant will be able to interpret the findings of a wide range of genetic epidemiological study designs, and apply several basic forms of genetic data analysis.

3 full days: lectures from 09:00-12:00; computer practicals from 13:00-16:00

Level / assumed knowledge: some basic knowledge of genetics and statistics is recommended

EC (with exam)


Course coordinator

  • prof. H. Snieder



Contact person

Maaike Bansema,

Back to listing