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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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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. |
format | Online Article Text |
id | pubmed-6603240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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