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340.733.01
Principles of Genetic Epidemiology 3

Location
East Baltimore
Term
3rd Term
Department
Epidemiology
Credit(s)
3
Academic Year
2018 - 2019
Instruction Method
TBD
Class Time(s)
Tu, Th, 9:00 - 10:20am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Terri Beaty
Contact Email
Frequency Schedule
Every Year
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
Brings together the principles of linkage, association and sequence analysis introduced in the first two terms and builds skills in applying and interpreting methods for such studies. Introduces advanced analytical methods in genetic epidemiology and illustrates their application using current software tools for both marker and sequence data.
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
Jointly Offered With