Causal inference for the covariance between breeding values under identity disequilibrium

Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.

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Autores principales: Cantet, Rodolfo Juan Carlos, Angarita Barajas, Belcy Karine, Forneris, Natalia Soledad, Munilla Leguizamón, Sebastián
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2022
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Acceso en línea:http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2022cantet1
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id snrd:2022cantet1
record_format dspace
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-140
collection FAUBA Digital - Facultad de Agronomía (UBA)
language Inglés
orig_language_str_mv eng
topic COVARIANZA GENETICA
GENETICA
BIOMETRIA
PARAMETROS GENETICOS
METODOS DE MEJORAMIENTO GENETICO
MEJORA GENETICA
spellingShingle COVARIANZA GENETICA
GENETICA
BIOMETRIA
PARAMETROS GENETICOS
METODOS DE MEJORAMIENTO GENETICO
MEJORA GENETICA
Cantet, Rodolfo Juan Carlos
Angarita Barajas, Belcy Karine
Forneris, Natalia Soledad
Munilla Leguizamón, Sebastián
Causal inference for the covariance between breeding values under identity disequilibrium
topic_facet COVARIANZA GENETICA
GENETICA
BIOMETRIA
PARAMETROS GENETICOS
METODOS DE MEJORAMIENTO GENETICO
MEJORA GENETICA
description Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.
format Artículo
Artículo
publishedVersion
publishedVersion
author Cantet, Rodolfo Juan Carlos
Angarita Barajas, Belcy Karine
Forneris, Natalia Soledad
Munilla Leguizamón, Sebastián
author_facet Cantet, Rodolfo Juan Carlos
Angarita Barajas, Belcy Karine
Forneris, Natalia Soledad
Munilla Leguizamón, Sebastián
author_sort Cantet, Rodolfo Juan Carlos
title Causal inference for the covariance between breeding values under identity disequilibrium
title_short Causal inference for the covariance between breeding values under identity disequilibrium
title_full Causal inference for the covariance between breeding values under identity disequilibrium
title_fullStr Causal inference for the covariance between breeding values under identity disequilibrium
title_full_unstemmed Causal inference for the covariance between breeding values under identity disequilibrium
title_sort causal inference for the covariance between breeding values under identity disequilibrium
publishDate 2022
url http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2022cantet1
work_keys_str_mv AT cantetrodolfojuancarlos causalinferenceforthecovariancebetweenbreedingvaluesunderidentitydisequilibrium
AT angaritabarajasbelcykarine causalinferenceforthecovariancebetweenbreedingvaluesunderidentitydisequilibrium
AT fornerisnataliasoledad causalinferenceforthecovariancebetweenbreedingvaluesunderidentitydisequilibrium
AT munillaleguizamonsebastian causalinferenceforthecovariancebetweenbreedingvaluesunderidentitydisequilibrium
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spelling snrd:2022cantet12026-03-26T10:27:42Z Cantet, Rodolfo Juan Carlos Angarita Barajas, Belcy Karine Forneris, Natalia Soledad Munilla Leguizamón, Sebastián 2022 Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. Fil: Cantet, Rodolfo Juan Carlos. CONICET - Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. Fil: Angarita Barajas, Belcy Karine. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. Fil: Angarita Barajas, Belcy Karine. CONICET - Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. Fil: Forneris, Natalia Soledad. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. Fil: Forneris, Natalia Soledad. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. Fil: Forneris, Natalia Soledad. CONICET - Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. Fil: Munilla Leguizamón, Sebastián. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. Fil: Munilla Leguizamón, Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. Fil: Munilla Leguizamón, Sebastián. CONICET - Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. Background: The covariance matrix of breeding values is at the heart of prediction methods. Prediction of breeding values can be formulated using either an “observed” or a theoretical covariance matrix, and a major argument for choosing one or the other is the reduction of the computational burden for inverting such a matrix. In this regard, covariance matrices that are derived from Markov causal models possess properties that deliver sparse inverses. Results: By using causal Markov models, we express the breeding value of an individual as a linear regression on ancestral breeding values, plus a residual term, which we call residual breeding value (RBV). The latter is a noise term that accounts for the uncertainty in prediction due to lack of fit of the linear regression. A notable property of these models is the parental Markov condition, through which the multivariate distribution of breeding values is uniquely determined by the distribution of the mutually independent RBV. Animal breeders have long been relying on a causal Markov model, while using the additive relationship matrix as the covariance matrix structure of breeding values, which is calculated assuming gametic equilibrium. However, additional covariances among breeding values arise due to identity disequilibrium, which is defined as the difference between the covariance matrix under the multi - loci probability of identity - by - descent (∑) and its expectation under gametic phase equilibrium, i.e., A. The disequilibrium term ∑ − A is considered in the model for predicting breeding values called the “ancestral regression” (AR), a causal Markov model. Here, we introduce the “ancestral regression to parents” (PAR) causal Markov model, which reduces the computational burden of the AR approach. By taking advantage of the conditional independence property of the PAR Markov model, we derive covariances between the breeding values of grandparents and grand - offspring and between parents and offspring. In addition, we obtain analytical expressions for the covariance between collateral relatives under the PAR model, as well as for the inbreeding coefficient. Conclusions: We introduced the causal PAR Markov model that captures identity disequilibrium in the covariances among breeding values and produces a sparse inverse covariance matrix to build and solve a set of mixed model equations. grafs., tbls. application/pdf 10.1186/s12711-022-00750-6 1297-9686 (en línea) 0999-193X (impreso) http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2022cantet1 eng info:eu-repo/semantics/openAccess openAccess openAccess http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4 Genetics Selection Evolution Vol.54 art. 64 http://www.biomedcentral.com/ COVARIANZA GENETICA GENETICA BIOMETRIA PARAMETROS GENETICOS METODOS DE MEJORAMIENTO GENETICO MEJORA GENETICA Causal inference for the covariance between breeding values under identity disequilibrium info:ar-repo/semantics/artículo info:eu-repo/semantics/article publishedVersion info:eu-repo/semantics/publishedVersion