Learning Dashboard > Genetics & Bioinformatics > Module 10: Polygenic risk prediction

Module 10: Polygenic risk prediction

learning-objectives.png     Learning Objectives

  • 10.1 Learn the difference in genetic risk prediction between monogenic and complex traits/diseases. Learn factors that contribute to increased accuracy in polygenic risk prediction of complex traits. Learn about the potential clinical applications
  • 10.2 Define advantages and limitations between methods that use only summary statistics and methods that require raw genotypes and phenotypes. Overview over most common summary statistics based methods
  • 10.3 Define the limitations of polygenic risk prediction in non-European populations. Describe potential solutions to increase prediction accuracy in polygenic risk prediction in non-European populations

lecture-video.png  Lecture Videos and Learning Checks

Below is an overview of this module. Using the “Next” button below, please watch the required videos and complete the corresponding learning checks to self-assess your comprehension of the key concepts covered. You may also download the videos directly by clicking on the titles. After you have completed the videos and learning checks, please complete the corresponding assignment.