School of Public Health

EPI 517 GENETIC EPIDEMIOLOGY

EPI 517 Genetic Epidemiology (3)

Research methods for evaluating genetic influences on disease and risk factors and genetic-environmental interactions. Study designs and statistical methods include twin studies, family studies, population-based association studies, segregation analysis, and linkage analysis. Prerequisite: EPI 511, BIOST 511, and GENOME 371, or equivalent. Offered: jointly with PHG 511.

Line Number Section ID Credits Days/Times Room/Bldg Instructor
This course is not offered during the current quarter. For more info, please see the Epidemiology Course Planning Sheet at the link below.
For a complete listing of Epidemiology courses, their elective categories, and when they are typically offered, please see the Epidemiology Course Planning Sheet

Additional Course Details

This course focuses on the fundamental research methods and applications in the dynamic field of genetic epidemiology. By the end of the course, students will be familiar with key genetic concepts, describe current genomic technologies that are used in genetic epidemiology, have an understanding of various study designs in genetic epidemiology and be able to identify relevant software and web-based data resources.    

Topics Covered

  • Approaches for assessing genetic influences on complex traits
  • Advances in genomics technology
  • Population-based and family-based study designs
  • Candidate gene and genome-wide association studies of both common and rare genetic variants and gene-environment interactions

Learning Objectives

  1. Explain key genetic concepts
  2. Describe current genomic technologies that are used in genetic epidemiology
  3. Conduct analysis of genetic data using R and other available software
  4. Describe and compare research study designs used in genetic epidemiology, including family-based studies, genetic association studies, and studies of gene-environment interactions.
  5. Discuss recent literature in genetic epidemiology

Course Format

Lectures, computer exercises, home assignments, readings    

How You Will Be Evaluated

Student presentations, participation in class, home assignments and take-home exam    

Contact the Instructor

Sara Lindstroem (saralind@uw.edu)