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An Efficient Method to Calculate Genomic Prediction Accuracy for New Individuals

Diagonal elements of the coefficient matrix are necessary to calculate the genomic prediction accuracy. Here an improved methodology is described, to update the inverse of the coefficient matrix (C) for new individuals with a genotype, with and without phenotypes. Computational performance is signif...

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Detalles Bibliográficos
Autores principales: Ferdosi, Mohammad H., Connors, Natalie K., Tier, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603240/
https://www.ncbi.nlm.nih.gov/pubmed/31293622
http://dx.doi.org/10.3389/fgene.2019.00596
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author Ferdosi, Mohammad H.
Connors, Natalie K.
Tier, Bruce
author_facet Ferdosi, Mohammad H.
Connors, Natalie K.
Tier, Bruce
author_sort Ferdosi, Mohammad H.
collection PubMed
description Diagonal elements of the coefficient matrix are necessary to calculate the genomic prediction accuracy. Here an improved methodology is described, to update the inverse of the coefficient matrix (C) for new individuals with a genotype, with and without phenotypes. Computational performance is significantly improved by re-using parts of the coefficient matrix inverse calculations that do not change from one animal to another, in combination with updated calculations for those that do change. This method expedites calculation of accuracy for new individuals with genotypes, without re-doing the whole population, by using the previously calculated matrices.
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spelling pubmed-66032402019-07-10 An Efficient Method to Calculate Genomic Prediction Accuracy for New Individuals Ferdosi, Mohammad H. Connors, Natalie K. Tier, Bruce Front Genet Genetics Diagonal elements of the coefficient matrix are necessary to calculate the genomic prediction accuracy. Here an improved methodology is described, to update the inverse of the coefficient matrix (C) for new individuals with a genotype, with and without phenotypes. Computational performance is significantly improved by re-using parts of the coefficient matrix inverse calculations that do not change from one animal to another, in combination with updated calculations for those that do change. This method expedites calculation of accuracy for new individuals with genotypes, without re-doing the whole population, by using the previously calculated matrices. Frontiers Media S.A. 2019-06-25 /pmc/articles/PMC6603240/ /pubmed/31293622 http://dx.doi.org/10.3389/fgene.2019.00596 Text en Copyright © 2019 Ferdosi, Connors and Tier. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Ferdosi, Mohammad H.
Connors, Natalie K.
Tier, Bruce
An Efficient Method to Calculate Genomic Prediction Accuracy for New Individuals
title An Efficient Method to Calculate Genomic Prediction Accuracy for New Individuals
title_full An Efficient Method to Calculate Genomic Prediction Accuracy for New Individuals
title_fullStr An Efficient Method to Calculate Genomic Prediction Accuracy for New Individuals
title_full_unstemmed An Efficient Method to Calculate Genomic Prediction Accuracy for New Individuals
title_short An Efficient Method to Calculate Genomic Prediction Accuracy for New Individuals
title_sort efficient method to calculate genomic prediction accuracy for new individuals
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603240/
https://www.ncbi.nlm.nih.gov/pubmed/31293622
http://dx.doi.org/10.3389/fgene.2019.00596
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