Abstract #301322

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JSM 2003 Abstract #301322
Activity Number: 298
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301322
Title: Fine-Scale Mapping of Diseases with Multiple Mutations via Spatial Clustering Techniques
Author(s): John T. Molitor*+ and Paul Marjoram and Duncan C. Thomas
Companies: University of Southern California and University of Southern California and University of Southern California
Address: 315 Westminster Ave., Alhambra, CA, 91803,
Keywords: haplotype ; fine mapping ; genetic epidemiology ; Voronoi
Abstract:

We present a method to analyze haplotype risk and to perform fine mapping that places haplotypes into clusters based upon risk. Cluster allocation is defined according to haplotype centers, with each haplotype assigned to the cluster with the ``closest'' center. The closeness of two haplotypes is determined by a weight metric that measures the length of the shared segment around a value of a putative functional mutation for the particular center. Our method allows for missing marker information while still estimating risks of complete haplotypes without resorting to a marker-at-a-time analysis. The scaling issues that can occur in haplotype analyses are removed by simply sampling over the haplotype space, allowing for estimation of haplotype risks without explicitly assigning a parameter to each haplotype to be estimated. As such, we are able to handle haplotypes of arbitrary size. Also, our clustering approach allows us to detect the presence of multiple functional mutations.

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