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Course Catalog


Department: Epidemiology
Term: 4th term
Credits: 3 credits
Contact: Priya Duggal
Academic Year: 2013 - 2014
Course Instructors:

Covers the principles of linkage analysis and introduction to sequencing as used in studies of complex diseases, where both genes and environmental risk factors influence risk. Addresses the principles of both singlepoint and multipoint linkage analysis using ‘model based’ and ‘model free’ statistical methods. Examines the interpretation of genome wide linkage analysis with a particular emphasis on complex and heterogeneous diseases. Introduces the methods for identifying linkage heterogeneity and covariate effects on evidence from linkage analysis as well as combined tests of linkage and linkage disequilibrium in family based tests. Also addresses basic sequencing methods.

Learning Objective(s):

This course will prepare you to be able to do the following: • Interpret and critically evaluate published articles on mapping genes for complex phenotypes • Explain the differences between parametric and non-parametric linkage analysis • Explain how linkage models can be extended to test for genetic heterogeneity and gene-gene interaction • Download and implement currently available software for linkage analysis • Explain the conceptual differences between linkage and association as statistical tools to identify genes controlling complex phenotypes • Explain how family based association tests can yield information on linkage in the presence of disequilibrium • Use currently available software to test for linkage in the presence of disequilibrium • Explain how multiple markers can be used as haplotypes or in multipoint mapping • Explain new methods for sequencing analysis • Critically evaluate published articles on haplotype methods for family based tests and contrast these to case-control designs

Methods of Assessment: Computer-based homework assignments and written critiques of relevant articles from the scientific literature.
Location: East Baltimore
Class Times:
  • Tuesday 9:00 - 10:20
  • Thursday 9:00 - 10:20
Enrollment Minimum: 5
Enrollment Maximum: 30
Instructor Consent: Consent required for some students

Auditors and those without pre-requisites

For consent, contact:

340.631, 140.621-622 or 140.651-652; 340.664

Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Jointly Offered With: