Title: SMED8020 – Genetic epidemiology
Date: 22-26 May
Location: NTNU
Number of places: 18
Course responsible: Ben Brumpton
Lecturers: Kristian Hveem, Maiken Gabrielsen, Frank Skorpen, Rebecka Hjort, Marta Moksnes, Therese Haugdal Nøst, Laxmi Bhatta, Nicole Warrington
Registration: is extended to May 1st. Registration form HERE.
Registration deadline: April 20th, 2023.
Please click here to check the official course website for any updates in the program.
Oral exam one week after the course. For participants who are traveling to Trondheim, the oral exam can be arranged online.
Course content
Maximum number of participants is 20. PhD candidates at NTNU, Faculty of Medicine and Health Sciences and NORBIS members are given first priority.
The course focuses on the understanding of genetic epidemiology concepts and understanding of genetic variation in the population. Topics to be taught are study design, analysis methods (whole genome, mendelian randomization and functional follow-up), bias and confounding in analyses, implication of functional findings, the use of registry data and ethical considerations.
Learning outcome
After completing the course, the student should understand the concepts of genetic epidemiology, understand how genetic variation manifests itself in the population and how it can be studied. Know important tools and analysis methods for genome-wide analyses. Be able to assess and discuss results from such analyses, understand implications of functional findings and suggest follow-up analyses. Know analysis methods for MR-analyses. Be able to describe the construction of an instrument variable and assess the validity of such. Be able to assess and discuss results from MR-analyses.
Learning methods and activities
Teaching modalities: Lectures and problem solving. All lectures and problem solving activities are mandatory.
Compulsory assignments
Presence at lectures
Specific conditions
Compulsory activities from previous semester may be approved by the department.
Recommended previous knowledge
Recommended background knowledge: KLMED8004 Medical statistics I, KLMED 8005 Medical statistics II, Introductory course in epidemiology (eg. Master course in epidemiology), basic knowledge in genetics, basic skills using R and/or basic skills and abilities to work in a Linux system
Required previous knowledge
Admission requirements: Master degree or similar. Medical students at the students Research Program. Candidates with a lower degree will be assessed individually.
Course materials
Given material, lecture notes and published articles.