This course offers an introduction to the principles, concepts, and methods of population-based epidemiologic research. It is intended to be the introductory course for students who are NOT majoring in Epidemiology. The course will be divided into three primary sections. The first section will serve as an introduction to the basic principles of epidemiology and the measures used in epidemiology. The second section will discuss epidemiologic study design (including case-control, cohort studies) and analysis (including bias, confounding, effect modification). The third section will cover special topics that are important to an introductory understanding of epidemiology (including outbreak investigations, screening, and the role of epidemiology in public health.
EPID513
Applications in Public Health Genetics
Fall
term(s)
1 Credit Hour(s)
Instructor(s):
Kardia, Sharon
Last offered Fall 2006
A forum for discussing applications of public health genetics and for integrating recent developments in human genetics into the breadth of public health genetics. Topics will be inclusive, from genetics and molecular biology, to assessment, policy development, screening for genetic susceptibility, and ethical, legal, and social issues as they apply to delivery of public health genetics.
EPID515
Genetics in Public Health
Fall, Winter
term(s)
3 Credit Hour(s)
Instructor(s):
Kardia, Sharon
Last offered Winter 2008
Prerequisites: Perm. Instr. or two undergraduate genetic courses.
This course is designed for students with a background in biology or genetics that are interested in understanding genetics in public health. This course will provide an in depth examination of genetics in public health including newborn screening diseases and practices, fundamentals of population genetics, and the genetics of common chronic diseases.
EPID817
Advanced Genomic Epidemiology
Winter
term(s)
3 Credit Hour(s)
Instructor(s):
Kardia, Sharon
Not offered 2009-2010
Prerequisites: BIOSTAT 560 EPID 515 or equivalent
This course provides a depth of experience in advanced genomic epidemiology methods. The focus will be on developing and implementing high throughput analyses of single nucleotide polymorphisms and their association with disease. Analytical methods such as linkage disequilibrium testing, haplotype estimation, gene-environment interactions, gene-gene interactions, classification trees, and neural networks will be reviewed and then applied to a real dataset. We will also review and apply the many bioinformatic resources available from the National Center for Biotechnology and Information (NCBI) to provide a biological context to the analysis and facilitate interpretation of genomic epidemiological association studies. Emphasis will also be placed on issues of statistical hypothesis testing such as the multiple testing (e.g. adjusting p-values using false discovery rate methods and permutation methods) and will learn techniques for performing cross-validation. Students will get hands on experience with creating analysis plans, performing data analysis, and interpreting genomic association results.
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