The Causal Meaning of Genomic Predictors and How It Affects Construction and Comparison of Genome-Enabled Selection Models

@article{Valente2015TheCM,
  title={The Causal Meaning of Genomic Predictors and How It Affects Construction and Comparison of Genome-Enabled Selection Models},
  author={B. Valente and G. Morota and F. Pe{\~n}agaricano and D. Gianola and K. Weigel and G. Rosa},
  journal={Genetics},
  year={2015},
  volume={200},
  pages={483 - 494}
}
  • B. Valente, G. Morota, +3 authors G. Rosa
  • Published 2015
  • Biology, Medicine, Mathematics
  • Genetics
  • The term “effect” in additive genetic effect suggests a causal meaning. However, inferences of such quantities for selection purposes are typically viewed and conducted as a prediction task. Predictive ability as tested by cross-validation is currently the most acceptable criterion for comparing models and evaluating new methodologies. Nevertheless, it does not directly indicate if predictors reflect causal effects. Such evaluations would require causal inference methods that are not typical in… CONTINUE READING
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