Authors: Crispin M Mutshinda Mikko J Sillanpää
Publish Date: 2012/07/24
Volume: 125, Issue: 7, Pages: 1575-1587
Abstract
Here we propose fast EM and pseudoEMbased procedures for Bayesian shrinkage analysis of QTLs designed to accommodate the posterior covariance structure of genetic effects through a blockupdating scheme That is updating all genetic effects simultaneously through many cycles of iterationsSimulation results based on computergenerated and realworld marker data demonstrated the ability of our method to swiftly produce sensible results regarding the phenotypetogenotype association Our new method provides a robust and remarkably fast alternative to full Bayesian estimation in highdimensional models where the computational burden associated with Markov chain Monte Carlo simulation is often unwieldy The R code used to fit the model to the data is provided in the online supplementary material
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