2026-08-12T08:25:54Zhttps://www.radar-service.eu/oai/OAIHandler10.22000/802023-11-15T14:42:34Z
10.22000/80
Melzer, Nina
Nina
Melzer
0000-0002-9586-1588
Leibniz Institute for Farm Animal Biology (FBN)
Wittenburg, Dörte
Dörte
Wittenburg
0000-0002-3639-2574
Leibniz Institute for Farm Animal Biology (FBN)
Supplementary data to publication “An approximate Bayesian significance test for genomic evaluations” (Biom J)
Leibniz Institute for Farm Animal Biology (FBN)
2010
2018
Agriculture
Biology
Genetics
Life Science
SNP, dominance, epistasis, recombination, genetic variation
phenotypic and genetic data
Open Access
Creative Commons Attribution 4.0 International
Leibniz Institute for Farm Animal Biology (FBN)
A simulation study has been conducted to analyse the association between genetic and phenotypic variation in livestock. Following the density and distribution of single nucleotide polymorphisms (SNPs) on the Illumina BovineSNP50 chip, 52,773 SNPs were simulated on the cattle genome of 30 Morgan length. Several generations of random mating were executed in which random recombination events according to the genetic distance between SNPs and random mutation of SNP alleles were considered. In the most recent generations, 50 sires were mated to 20 dams in order to generate multiple half-sib families. The data were split into training (n=2,000) and validation/testing set (n=2,000). Twenty-three SNPs were randomly preselected to be the causative variants, and additive, dominance and epistatic effects were simulated. Two different traits were achieved by adding different residual error terms to the sum of genetic effects, such that the total genetic variation contributed either 30% or 50% to the phenotypic variation. Then, 5,227 SNPs (every 10-th SNP including the causative variants) were selected. The simulation was repeated 100 times. More details can be found in Wittenburg et al. (2011) Including non-additive genetic effects in Bayesian methods for the prediction of genetic values based on genome-wide markers. BMC Genetics 12:74, https://doi.org/10.1186/1471-2156-12-74
FUGATO-plus Project "BovIBI"
10.1002/bimj.201700219
Federal Ministry of Education and Research (BMBF)
grid.5586.e
0315137
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