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Activity Number:
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497
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 2, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #308350 |
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Title:
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Using Genomic Scans of Fst To Identify the Footprints of Selection
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Author(s):
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Kent Holsinger*+
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Companies:
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University of Connecticut
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Address:
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Dept of Ecology and Evolutionary Biology, Storrs, CT, 06269-3043,
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Keywords:
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Fst ; hierarchical models ; genetic diversity ; natural selection ; genomics
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Abstract:
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Wright's Fst is widely used to describe the partitioning of genetic variation within and among populations. Estimates of Fst at all genetic loci sampled from a set of populations will be statistically indistinguishable, unless mutation rates differ substantially across loci or unless loci are subject to different patterns of natural selection. I will present a hierarchical Bayesian model that provides estimates of locus- and population-specific effects on Fst, and I will illustrate how it can be applied to the analysis of high-resolution genomic data. Analysis of these data introduces a novel approach to outlier detection. Analysis of the high-resolution data will also introduce a novel application of spatial modeling in genetic data.
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