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340.732.01
Principles of Genetic Epidemiology 2

Location
East Baltimore
Term
2nd Term
Department
Epidemiology
Credit(s)
3
Academic Year
2012 - 2013
Instruction Method
TBD
Class Time(s)
Tu, Th, 9:00 - 10:20am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Prerequisite

introduction to genetics course

Description
Second offering in a four-quarter series. Details the concepts of linkage disequilibrium, haplotypes, and the use of public information to inform study design and analysis related to haplotypes. Presents genetic association analyses of quantitative and qualitative disease-related phenotypes for both unrelated and family-based sampling designs. Reviews the concepts and tools related to confounding by ancestry, approaches for genome-wide association studies and for assessment of gene-by-gene and gene-by-environment interactions; and methods for genetic linkage analysis. Select class sessions are dedicated to discussion-based and computer-based labs to further illustrate the methods taught.
Learning Objectives
After completing this course, you should be able to:
  1. Demonstrate the concepts of linkage disequilibrium and haplotypes
  2. Calculate LD coefficients and haplotype frequencies
  3. Explain the utility of the HapMap project and the 1000Genomes project
  4. Use public databases to select tagSNPs or estimate LD coverage
  5. Describe the various design strategies for genetic studies and discuss the advantages and disadvantages of each
  6. Explain the difference between genetic association and genetic linkage
  7. Perform genetic association tests in family-based and unrelated samples
  8. Discuss the concept of confounding by ancestry in genetic analyses
  9. Apply tools to adjust for confounding by ancestry
  10. Perform estimation and tests of gene-by-gene and gene-by-environment interactions
  11. Apply the above concepts in the context of genome-wide association studies
  12. Perform and interpret linkage analyses on family data