Learning Dashboard > Genetics & Bioinformatics > Module 11: Fine mapping

Module 11: Fine mapping

learning-objectives.png     Learning Objectives

  • 11.1 Describe workflow from GWAS results to annotation of SNPs from fine mapping studies. Describe factors that influence fine-mapping
  • 11.2 Overview of types of fine-mapping approaches (heuristic approaches, penalized regression, bayesian approaches) and the integration of genomic annotations
  • 11.3 Describe advantages of trans-ethnic meta-analyses for fine mapping

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.