PhD - Medical science
Genetic Risk assessment for complex diseases (KF)
- Claudia Lamina , PhD
- Lukas Forer , PhD
In the week between 12th and 16th of June, 3-4 h a day. The computer room is already booked between 10-15. But times are not fixed yet and can be coordinated together with the students.
We will introduce into genetic association studies and how they can be interpreted. Even those researchers, who work in cells or in model organisms will inevitably have to read and interpret genetic epidemiological studies in humans. Covered topics:
- Different genetic variants (SNPs, tandem repeats, Copy number variation)
- Linkage Disequilibrium
- What is genetic association and genetic risk in complex diseases
- How can a genome-wide study be interpreted
- Genetic risk scores: How reliable can risk of getting e.g. diabetes or stroke be predicted from genetic data?
- Ancestry estimation and the role of ancestry in genetic studies
- “I work on gene XYZ in mice. How can I find evidence from human studies?”
- Genetics as an instrument to conclude on causality: Does increased LDL cholesterol really cause Myocardial infarctions? Does obesity increase diabetes risk or could it also be the other way round?