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Comparing estimates of genetic variance across different relationship models

Theoretical population biology, 2016-02, Vol.107, p.26-30

Legarra, Andres

2016

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Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

Genetics selection evolution (Paris), 2018-11, Vol.50 (1), p.53-53, Article 53

2018

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Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations

Genetics (Austin), 2017-07, Vol.206 (3), p.1297-1307

2017

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Performance of Genomic Selection in Mice

Genetics (Austin), 2008-09, Vol.180 (1), p.611-618

2008

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Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree

Genetics (Austin), 2009-05, Vol.182 (1), p.375-385

2009

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Theoretical and empirical comparisons of expected and realized relationships for the X-chromosome

Genetics selection evolution (Paris), 2020-08, Vol.52 (1), p.50-50, Article 50

2020

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Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle

Genetics selection evolution (Paris), 2019-06, Vol.51 (1), p.28-28, Article 28

2019

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Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups

Genetics selection evolution (Paris), 2020-08, Vol.52 (1), p.47-47, Article 47

2020

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Sequence- vs. chip-assisted genomic selection: accurate biological information is advised

Genetics selection evolution (Paris), 2015-05, Vol.47 (1), p.43-43, Article 43

2015

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Impact of interpopulation distance on dominance variance and average heterosis in hybrid populations within species

Genetics (Austin), 2023-05, Vol.224 (2)

2023

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Genomic prediction of hybrid crops allows disentangling dominance and epistasis

Genetics (Austin), 2021-05, Vol.218 (1)

2021

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Non-additive Effects in Genomic Selection

Frontiers in genetics, 2018-03, Vol.9, p.78-78

2018

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Weighting Strategies for Single-Step Genomic BLUP: An Iterative Approach for Accurate Calculation of GEBV and GWAS

Frontiers in genetics, 2016-08, Vol.7, p.151-151

2016

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Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90

Genes, 2020-07, Vol.11 (7), p.790

2020

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Joint genomic evaluation of French dairy cattle breeds using multiple-trait models

Genetics selection evolution (Paris), 2012-12, Vol.44 (1), p.39-39, Article 39

2012

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Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships

Genetics (Austin), 2015-06, Vol.200 (2), p.455-468

2015

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GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model

Animals (Basel), 2020-06, Vol.10 (6), p.1001

2020

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Computing strategies for multi-population genomic evaluation

Genetics selection evolution (Paris), 2022-02, Vol.54 (1), p.10-10, Article 10

2022

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Correction to: Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

Genetics selection evolution (Paris), 2019-11, Vol.51 (1), p.1-69, Article 69

2019

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Dominance and epistatic genetic variances for litter size in pigs using genomic models

Genetics selection evolution (Paris), 2018-12, Vol.50 (1), p.71-71, Article 71

2018

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Reliabilities of estimated breeding values in models with metafounders

Genetics selection evolution (Paris), 2023-01, Vol.55 (1), p.6-6, Article 6

2023

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Detection of unrecorded environmental challenges in high-frequency recorded traits, and genetic determinism of resilience to challenge, with an application on feed intake in lambs

Genetics selection evolution (Paris), 2021-01, Vol.53 (1), p.4-4, Article 4

2021

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Confidence intervals for validation statistics with data truncation in genomic prediction

Genetics selection evolution (Paris), 2024-03, Vol.56 (1), p.18-18

2024

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Dissecting genetic trends to understand breeding practices in livestock: a maternal pig line example

Genetics selection evolution (Paris), 2021-11, Vol.53 (1), p.1-89, Article 89

2021

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Genomic selection models for directional dominance: an example for litter size in pigs

Genetics selection evolution (Paris), 2018-01, Vol.50 (1), p.1-1, Article 1

2018

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Comparing estimates of genetic variance across different relationship models

Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations

Performance of Genomic Selection in Mice

Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree

Theoretical and empirical comparisons of expected and realized relationships for the X-chromosome

Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle

Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups

Sequence- vs. chip-assisted genomic selection: accurate biological information is advised

Impact of interpopulation distance on dominance variance and average heterosis in hybrid populations within species

Genomic prediction of hybrid crops allows disentangling dominance and epistasis

Non-additive Effects in Genomic Selection

Weighting Strategies for Single-Step Genomic BLUP: An Iterative Approach for Accurate Calculation of GEBV and GWAS

Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90

Joint genomic evaluation of French dairy cattle breeds using multiple-trait models

Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships

GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model

Computing strategies for multi-population genomic evaluation

Correction to: Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

Dominance and epistatic genetic variances for litter size in pigs using genomic models

Reliabilities of estimated breeding values in models with metafounders

Detection of unrecorded environmental challenges in high-frequency recorded traits, and genetic determinism of resilience to challenge, with an application on feed intake in lambs

Confidence intervals for validation statistics with data truncation in genomic prediction

Dissecting genetic trends to understand breeding practices in livestock: a maternal pig line example

Genomic selection models for directional dominance: an example for litter size in pigs

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