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Activity Number:
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421
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #310141 |
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Title:
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A Fast Bayesian Method for eQTL Linkage Analysis in Experimental Crosses
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Author(s):
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Jinze Liu*+ and Fred Wright and Fei Zou and Yu-Ling Chang
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Companies:
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The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill
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Address:
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132 Ridge Trail, Chapel Hill, NC, 27516,
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Keywords:
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eQTL ; Baysian ; Linkage analysis ; Laplace approximation
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Abstract:
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We apply a recently-developed approximate Bayesian linkage analysis approach to the expression quantitative trait loci (eQTL) problem, in which microarray measurements of thousands of transcripts are examined for linkage to genomic regions. The approach uses the Laplace approximation to integrate over genetic model parameters (not including genomic position), and has been fully developed for different types of recombinant inbred crosses. The method is much faster than commonly-used Monte Carlo approaches, and thus suitable for the extreme computational demands of eQTL analysis. We have formulated biologically attractive priors involving explicit hyperparameters for probabilities of cis-acting and trans-acting QTLs. The approach offers highly interpretable direct posterior densities for linkage for each transcript at each genomic position.
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