Tournaments between markers as a strategy to enhance genomic predictions

Analysis of a large number of markers is crucial in both genome-wide association studies (GWAS) and genome-wide selection (GWS). However there are two methodological issues that restrict statistical analysis: high dimensionality (p≫n) and multicollinearity. Although there are methodologies that can...

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Veröffentlicht in:	PloS one 2019-06, Vol.14 (6), p.e0217283-e0217283
Hauptverfasser:	Filho, Diógenes Ferreira, Filho, Júlio Sílvio de Sousa Bueno, Regitano, Luciana Correia de Almeida, Alencar, Maurício Mello de, Alves, Rosiana Rodrigues, Meirelles, Sarah Laguna Conceição
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Bayesian analysis Beef Beef cattle Biology and life sciences Breeding Cattle Collinearity Computer simulation Correlation Databases, Nucleic Acid Estimates Genetic Markers Genetic research Genetics Genome Genome-Wide Association Study Genomes Genomics Hypotheses Linear models (Statistics) Markers Mathematical models Models, Genetic Phenotypes Physical Sciences Polymorphism, Single Nucleotide Predictions Regression analysis Research and analysis methods Segregations Single nucleotide polymorphisms Statistical analysis Statistical methods Statistics Tournaments & championships
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