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Activity Number: 292
Type: Invited
Date/Time: Tuesday, August 4, 2009 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract - #305824
Title: Spatial Analysis of Genetic Population Structure and Feline Immunodeficiency Virus in Cougars
Author(s): Lance A. Waller*+ and David C. Wheeler and Roman Biek and Leslie A. Real
Companies: Emory University and National Cancer Institute/Harvard School of Public Health and University of Glasgow and Emory University
Address: 1518 Clifton Road NE, Atlanta, GA, 30322,
Keywords: Bayesian ; Disease ecology ; landscape ; Geneland
Abstract:

The increasing volume of georeferenced genetic sequence data from rapidly evolving organisms such as viruses offers an opportunity to identify fine scale geographic population structure in both the organisms themselves and in their hosts. Several approaches have been proposed and we investigate model-based classification and associations with landscape features. Most approaches are based on Bayesian clustering algorithms with spatial location impacting the posterior probability of class membership. We provide a detailed view of the models underlying such methods and their implementation, then illustrate the approach on data exploring the geographic distribution of feline immunodifficiency virus (FIV) in cougars in the western United States. We focus particular attention on the role of the spatial random effects and their impact on results.


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