JSM 2004 - Toronto

Abstract #302162

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Activity Number: 166
Type: Contributed
Date/Time: Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #302162
Title: Fine-scale Mapping of Disease--Extending the Bayesian Partition Model
Author(s): John Molitor*+ and Paul Marjoram and Duncan Thomas
Companies: University of Southern California and University of Southern California and University of Southern California
Address: 1540 Alcazar Street, Los Angeles, CA, 90089,
Keywords: haplotype ; Markov chain Monte Carlo ; fine-mapping ; Voronoi tesselations ; Bayesian methods
Abstract:

We present a number of extensions to our fine-scale mapping method. Specifically, we examine the effectiveness of the method with regards to its ability to handle diploid only data. This extension entails the use of a latent structure to estimate, at each step of the MCMC algorithm, individual haplotypes based upon available genotype data. The amount of information lost when only genotypical information is available will be explored. Further, if time permits, we will examine ways in which more population genetic theory can be incorporated into the model and examine the amount of improvement that is gained with the introduction of this genetic theory versus the increase in simulation time.

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