The causal meaning of genomic predictors and how it affects the construction and comparison of genome-enabled selection models
Bruno D Valente, Gota Morota, Guilherme JM Rosa, Daniel Gianola, Kent Weigel
This paper examines whether genomic predictors must represent causal effects to be useful for selection, showing that predictive ability alone is insufficient for causal learning in genomic selection models.
bioRxiv · Dec 21, 2013Genomics