DMU-a package for analyzing multivariate mixed models in quantitative genetics and genomics
P Madsen, J Jensen, R Labouriau… - 10th World Congress …, 2014 - pure.au.dk
The DMU-package for Analyzing Multivariate Mixed Models has been developed over a
period of more than 25 years. This paper gives an overview of new features and the recent …
period of more than 25 years. This paper gives an overview of new features and the recent …
[PDF][PDF] DMU-a package for analyzing multivariate mixed models
P Madsen, P Sørensen, G Su, LH Damgaard… - 8th World Congress on …, 2006 - academia.edu
DMU is a package directed towards applications in quantitative genetics, and it implements
powerful tools to estimate variance components and fixed effects (BLUE) and to predict …
powerful tools to estimate variance components and fixed effects (BLUE) and to predict …
[PDF][PDF] BLUPF90 suite of programs for animal breeding with focus on genomics
The BLUPF90 suite is a collection of software for mixed-model analysis with focus on
breeding and genetics applications. Solving of mixed model equations and variance …
breeding and genetics applications. Solving of mixed model equations and variance …
Predicted residual error sum of squares of mixed models: an application for genomic prediction
S Xu - G3: Genes, Genomes, Genetics, 2017 - academic.oup.com
Genomic prediction is a statistical method to predict phenotypes of polygenic traits using
high-throughput genomic data. Most diseases and behaviors in humans and animals are …
high-throughput genomic data. Most diseases and behaviors in humans and animals are …
Qxpak. 5: old mixed model solutions for new genomics problems
M Pérez-Enciso, I Misztal - BMC bioinformatics, 2011 - Springer
Background Mixed models have a long and fruitful history in statistics. They are pertinent to
genomics problems because they are highly versatile, accommodating a wide variety of …
genomics problems because they are highly versatile, accommodating a wide variety of …
Software update: Moving the R package sommer to multivariate mixed models for genome-assisted prediction
G Covarrubias-Pazaran - BioRxiv, 2018 - biorxiv.org
In the last decade the use of mixed models has become a pivotal part in the implementation
of genome-assisted prediction in plant and animal breeding programs. Exploiting the use …
of genome-assisted prediction in plant and animal breeding programs. Exploiting the use …
an R package for fitting generalized linear mixed models in animal breeding
AI Vazquez, DM Bates, GJM Rosa… - Journal of animal …, 2010 - academic.oup.com
Mixed models have been used extensively in quantitative genetics to study continuous and
discrete traits. A standard quantitative genetic model proposes that the effects of levels of …
discrete traits. A standard quantitative genetic model proposes that the effects of levels of …
A general approach to mixed effects modeling of residual variances in generalized linear mixed models
K Kizilkaya, RJ Tempelman - Genetics Selection Evolution, 2005 - Springer
We propose a general Bayesian approach to heteroskedastic error modeling for generalized
linear mixed models (GLMM) in which linked functions of conditional means and residual …
linear mixed models (GLMM) in which linked functions of conditional means and residual …
Computational strategies for alternative single-step Bayesian regression models with large numbers of genotyped and non-genotyped animals
RL Fernando, H Cheng, BL Golden… - Genetics Selection …, 2016 - Springer
Background Two types of models have been used for single-step genomic prediction and
genome-wide association studies that include phenotypes from both genotyped animals and …
genome-wide association studies that include phenotypes from both genotyped animals and …
Genomic prediction using multi-trait weighted GBLUP accounting for heterogeneous variances and covariances across the genome
Implicit assumption of common (co) variance for all loci in multi-trait Genomic Best Linear
Unbiased Prediction (GBLUP) results in a genomic relationship matrix (G) that is common to …
Unbiased Prediction (GBLUP) results in a genomic relationship matrix (G) that is common to …