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Bayesian hierarchical regression models for detecting QTLs in plant experiments. (English) Zbl 1169.62312

Summary: 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 data set 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.

MSC:

62F15 Bayesian inference
62P10 Applications of statistics to biology and medical sciences; meta analysis
92D10 Genetics and epigenetics
62J99 Linear inference, regression
65C60 Computational problems in statistics (MSC2010)
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