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340.733.01
Principles of Genetic Epidemiology 3

Location:
East Baltimore
Term:
3rd term
Department:
Epidemiology
Credits:
3 credits
Academic Year:
2019 - 2020
Class Times:
This is a blended course. Over the course of the term, 24 hours of classroom time will be replaced by outside-of-class work, including a practicum.
  • Tu Th,  9:00 - 10:20am
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor s:
Contact:
Terri Beaty
Resources:
Prerequisite:

140.621-622 or 140.651-652; (2 courses in biostatistics and the first 2 courses in Genetic Epidemiology 340.731 & 340.732)

Description:

Concepts behind linkage and association studies in genome-wide studies, and demonstrates how they can be applied to complex qualitative and quantitative phenotypes (i.e. those where both genetic and environmental factors influence the phenotype). Introduces the principles underlying family-based and population-based study designs and analytical methods for both marker panels and sequencing data (whole exome and whole genome).

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Explain the models for linkage and association analysis to map genes influencing risk to complex diseases and their associated phenotypes in both family and population-based studies
  2. Interpret combined and meta-analysis of genome-wide markers in large-scale consortium studies using summary statistics
  3. Use currently available software to check for structural errors in family data, estimate allele frequencies, check for Mendelian inconsistencies and describe familial aggregation of both qualitative and quantitative phenotypes
  4. Critically read and interpret published articles on genome-wide efforts to map genes controlling both qualitative and quantitative phenotypes using conventional epidemiologic study designs
  5. Explain how variance components models can be used to identify quantitative trait loci (QTL) used to map genes for quantitative phenotypes
  6. Describe various cutting-edge analysis of large-scale genome-wide association studies to inform biology, causality, and prediction
Methods of Assessment:

This course is evaluated as follows:

  • 30% Homework
  • 25% Written Assignment(s)
  • 25% Presentation(s)
  • 10% Group Presentation
  • 10% Participation

Instructor Consent:

Consent required for some students

Consent Note:

Advanced level genetics knowledge required

For consent, contact:

tbeaty@jhsph.edu

Jointly Offered With: