Bayesian hierarchical regression models for detecting QTLs in plant experiments
Edward Boone,
Susan Simmons,
Haikun Bao and
Ann Stapleton
Journal of Applied Statistics, 2008, vol. 35, issue 7, 799-808
Abstract:
Quantitative trait loci (QTL) mapping is a growing field in statistical genetics. In plants, QTL detection experiments often feature replicates or clones within a specific genetic line. In this work, a Bayesian hierarchical regression model is applied to simulated QTL data and to a dataset from the Arabidopsis thaliana plants for locating the QTL mapping associated with cotyledon opening. A conditional model search strategy based on Bayesian model averaging is utilized to reduce the computational burden.
Keywords: hierarchical models; Bayesian statistics; quantitative trait loci; Bayesian model averaging; recombinant inbred Lines (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:35:y:2008:i:7:p:799-808
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DOI: 10.1080/02664760802005910
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