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Article

Genome-wide prediction for complex traits under the presence of dominance effects in simulated populations using GBLUP and machine learning methods.

Journal of animal science - 1 Jun 2020

Alves Anderson Antonio Carvalho, da Costa Rebeka Magalhães, Bresolin Tiago, Fernandes Júnior Gerardo Alves, Espigolan Rafael, Ribeiro André Mauric Frossard, Carvalheiro Roberto, de Albuquerque Lucia Galvão

Abstract excerpt

The aim of this study was to compare the predictive performance of the Genomic Best Linear Unbiased Predictor (GBLUP) and machine learning methods (Random Forest, RF; Support Vector Machine, SVM; Artificial Neural Network, ANN) in simulated populations presenting different levels of dominance effects. Simulated genome comprised 50k SNP and 300 QTL, both biallelic and randomly distributed across 29 autosomes. A...

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Breeding
Computer Simulation
Genes, Dominant
Genome
Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Machine Learning

Multifactorial Inheritance

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PMID: 32474602
DOI: 10.1093/jas/skaa179
PMCID: PMC7367166

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