26th Summer Institute in Statistical Genetics (SISG)


This module is currently full. Registrations are closed at this time.

Module 10: Genetic Epidemiology

Wed, July 14 to Fri, July 16
Instructor(s):
Registration for this module closes July 7. 

 

Live session timeframe (exact schedule with live sessions will be posted by module instructors prior to the start of the module): Wednesday: 11:30 a.m.-2:30 p.m. Pacific (2:30-5:30 p.m. Eastern); Thursday, 8 a.m. – 2:30 p.m. Pacific  (11 a.m. – 5:30 p.m. Eastern); Friday, 8 a.m. – 2:30 p.m. Pacific (11 a.m. – 5:30 p.m. Eastern).

This module provides an overview of genetic epidemiology, with a focus on design, analysis and interpretation in studies of complex disease. The module is meant as an introduction to the field with a focus on surveying the various methods for discovering how genetic factors influence health and disease.

It discusses classic genetic epidemiology methods and study designs, including twin studies, family studies, segregation analysis, linkage analysis and population-based association studies, as well as more contemporary topics including gene-environment interactions, rare variant analysis and precision medicine applications. These topics will be reinforced through in-class exercises along with critical reading and discussion of recent publications.

Learning Objectives: After attending this module, participants will be able to:

  1. Conduct and interpret simple genetic association analyses.
  2. Interpret common plots used to present genetic epidemiology results, and describe their rationale.
  3. Describe the various ways population genetic patterns affect genetic epidemiology studies and the methods to account for these patterns in research.
  4. Describe best practices for reproducible genetic epidemiology research.

Describe the ethical and public policy implications of genetic epidemiology results.