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340.661.11 FAMILY BASED GENETIC EPIDEMIOLOGY

Department:
Epidemiology
Term:
Summer Inst. term
Credits:
2 credits
Academic Year:
2013 - 2014
Location:
East Baltimore
Dates:
Mon 06/17/2013 - Fri 06/21/2013
Class Times:
  • M Tu W Th F,  8:30am - 12:00pm

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Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Ayesha Khan
Course Instructor:
Prerequisite:

Basic understanding of epidemiologic and biostatistical principles.

Description:

Presents methods commonly used in genetic epidemiology, including statistical methods for measuring familial aggregation, in addition to formal segregation and linkage analysis using family data. The principles and applications of a variety of statistical methods presented in detail, and students are given the opportunity to implement these methods using both real and simulated data sets as part of the computer lab. Basic understanding of epidemiologic and biostatistical principles is required for this course. Students unfamiliar with genetics should take the "Molecular Biology for Genetic Epidemiology" course.

Learning Objectives:

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

  1. Explain how family data can be used to test for genetic control of a disease or quantitative phenotype through studies of recurrence risk or analysis of familial correlations
  2. 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
  3. Explain how models of inheritance are fit to family data using maximum likelihood techniques in segregation analysis
  4. Explain what linkage analysis means, and how it can be used to map genes underlying complex diseases or associated quantitative phenotypes
  5. Use currently available software to test for linkage between genetic markers and a disease phenotype using both parametric and non-parametric methods
  6. Explain how variance components models can be used to identify quantitative trait loci (QTL) that are used to map genes for quantitative phenotypes
  7. Explain the conceptual differences between linkage and association as statistical tools to identify genes controlling complex phenotypes
  8. Explain how family based association tests can yield information on linkage in the presence of disequilibrium
Methods of Assessment:

Class assignments.

Instructor Consent:

No consent required