caa a22 4500 445845155 CHVBK 20180317145356.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s10709-011-9588-7 doi (NATIONALLICENCE)springer-10.1007/s10709-011-9588-7 Marker-assisted prediction of non-additive genetic values [Elektronische Daten] [Nanye Long, Daniel Gianola, Guilherme Rosa, Kent Weigel] It has become increasingly clear from systems biology arguments that interaction and non-linearity play an important role in genetic regulation of phenotypic variation for complex traits. Marker-assisted prediction of genetic values assuming additive gene action has been widely investigated because of its relevance in artificial selection. On the other hand, it has been less well-studied when non-additive effects hold. Here, we explored a nonparametric model, radial basis function (RBF) regression, for predicting quantitative traits under different gene action modes (additivity, dominance and epistasis). Using simulation, it was found that RBF had better ability (higher predictive correlations and lower predictive mean square errors) of predicting merit of individuals in future generations in the presence of non-additive effects than a linear additive model, the Bayesian Lasso. This was true for populations undergoing either directional or random selection over several generations. Under additive gene action, RBF was slightly worse than the Bayesian Lasso. While prediction of genetic values under additive gene action is well handled by a variety of parametric models, nonparametric RBF regression is a useful counterpart for dealing with situations where non-additive gene action is suspected, and it is robust irrespective of mode of gene action. Springer Science+Business Media B.V., 2011 RBF regression nationallicence Non-additive gene action nationallicence Prediction nationallicence Long Nanye Department of Animal Sciences, University of Wisconsin-Madison, 1675 Observatory Dr. Animal Science Bldg, 53706, Madison, WI, USA aut Gianola Daniel Department of Animal Sciences, University of Wisconsin-Madison, 1675 Observatory Dr. Animal Science Bldg, 53706, Madison, WI, USA aut Rosa Guilherme Department of Animal Sciences, University of Wisconsin-Madison, 1675 Observatory Dr. Animal Science Bldg, 53706, Madison, WI, USA aut Weigel Kent Department of Dairy Science, University of Wisconsin-Madison, 53706, Madison, WI, USA aut Genetica Springer Netherlands 139/7(2011-07-01), 843-854 0016-6707 139:7<843 2011 139 10709 https://doi.org/10.1007/s10709-011-9588-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10709-011-9588-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Long Nanye Department of Animal Sciences, University of Wisconsin-Madison, 1675 Observatory Dr. Animal Science Bldg, 53706, Madison, WI, USA aut NATIONALLICENCE 700 1- Gianola Daniel Department of Animal Sciences, University of Wisconsin-Madison, 1675 Observatory Dr. Animal Science Bldg, 53706, Madison, WI, USA aut NATIONALLICENCE 700 1- Rosa Guilherme Department of Animal Sciences, University of Wisconsin-Madison, 1675 Observatory Dr. Animal Science Bldg, 53706, Madison, WI, USA aut NATIONALLICENCE 700 1- Weigel Kent Department of Dairy Science, University of Wisconsin-Madison, 53706, Madison, WI, USA aut NATIONALLICENCE 773 0- Genetica Springer Netherlands 139/7(2011-07-01), 843-854 0016-6707 139:7<843 2011 139 10709 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer