Article
Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE).
BMC bioinformatics - 3 Jan 2017
Martini Johannes W R, Gao Ning, Cardoso Diercles F, Wimmer Valentin, Erbe Malena, Cantet Rodolfo J C, Simianer Henner
Abstract excerpt
BACKGROUND: Epistasis marker effect models incorporating products of marker values as predictor variables in a linear regression approach (extended GBLUP, EGBLUP) have been assessed as potentially beneficial for genomic prediction, but their performance depends on marker coding. Although this fact has been recognized in literature, the nature of the problem has not been thoroughly investigated so far. RESULTS: We...
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