Molecular epidemiology
Summary
The course teaches the basics of modern technology for analyzing genetic and other large scale data. We briefly cover the basic concepts of cell biology and how it is coupled to phenotypes as well as diseases. We also cover the principles of genome wide association studies (GWAS), mendelian randomization and other omics.
About
Modern medical research often relies on some large scale analyses. To be able to understand, interpret and perform such studies we need to understand the fundamental concepts of cell biology and how the components of the cell works and can be connected to individual phenotypes as well as disease.
By studying some examples from research we can both understand the research process as well as the underlying biology. How is the discovery of a protein converted into a novel treatment? How do we handle large amounts of data and analyses? How do we combine medical, molecular and statistical knowledge in analyses?
Prerequisites and selection
Entry requirements
The entry requirements of the course include a professional degree/Bachelor's degree of at least 180 credits in health sciences, natural sciences, economics, or engineering, and a course in statistics or quantitative methods of at least 7,5 credits. Further, R-programming of at least 2 credits or equivalent, a course in regression analysis of at least 2 credits or equivalent, English B/English 6 or equivalent, and Matematik 3b/3c or equivalent are required.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
