PHG 519 - Statistical Methods in Genetic Epidemiology

Alternate Course Number 

EPI 516
BIOST 516

Course Description 

This course focuses on the theory and application of statistical methodology used in genetic epidemiology. It includes discussions of linkage analysis and segregation analysis, as well as methods for genome-wide association studies. Examples are stressed with reference to assumptions and limitations. 

Course Objectives 

By the end of this course, a student should be able to:

  1. Know the assumptions of the Hardy-Weinberg equilibrium model and how to test for violations of it 
  2. Understand the theory and applications of both parametric and non-parameter linkage analysis
  3. Use family-based and case-control association testing methods
  4. Have an understanding of basic population structure theory and measures
  5. Estimate relationships with various statistical methods
  6. Appropriately apply statistical methodology to correct for cryptic population structure
  7. Understand the admixture mapping approach for identification of genetic variants
  8. Use both statistical and genetic software for the analysis of genetic data

Example Syllabus 

Quarter(s) Offered 

Autumn

Prerequisites 

One year graduate sequence in biostatistics (e.g. BIOST 511-513, BIOST514-515 or BIOST 517-518) and a beginning course in genetic epidemiology (e.g. PHG 511). Otherwise, permission of instructor.

Credits 

3