Incorporating LASSO effects into a mixed model for quantitative trait loci detection |
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| Authors: | Scott D Foster Arūnas P Verbyla Wayne S Pitchford |
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| Institution: | 1.School of Agriculture, Food and Wine,The University of Adelaide,Glen Osmond |
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| Abstract: | The identification of quantitative trait loci (QTL) can be viewed as a subset selection problem. In a simulation study the
least absolute selection and shrinkage operator (LASSO) is shown to be a useful and powerful tool for QTL identification.
LASSO effects are embedded into a mixed model allowing simultaneous modeling of genetic and experimental effects. This provides
the flexibility to model the experiment in conjunction with the power of LASSO QTL identification. Estimation is performed
using an approximation to the restricted likelihood and modified Gaussian elimination. The extended mixed model is used to
analyze a cattle gene mapping dataset. |
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