ArticleGenetics, selection, evolution : GSE2016
Mendelian sampling covariability of marker effects and genetic values.
Article in Genetics, selection, evolution : GSE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed, 46 citations in OpenAlex.
- A comparative study on recombination activity in cattle.Genetics, selection, evolution : GSE · 2026Article
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- PyMSQ: a Python package for fast Mendelian sampling (co)variance and haplotype-based similarity in genomic selection.BMC bioinformatics · 2026Article
- Optimizing progeny size and number of crosses under genomic selection: insights into additive and epistatic contributions to long-term genetic gain.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
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- A Similarity Matrix for Preserving Haplotype Diversity Amongst Parents in Genomic Selection.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Optimization of recurrent rapid cycle breeding in maize for sustained long-term genetic improvement via stochastic simulations.G3 (Bethesda, Md.) · 2025Article
- SimpleMating: R-package for prediction and optimization of breeding crosses using genomic selection.The plant genome · 2025Article
- Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross-selection method on long-term genetic gain.The plant genome · 2025Article
- Is there an advantage of using genomic information to estimate gametic variances and improve recurrent selection in animal populations?Genetics, selection, evolution : GSE · 2025Article
- Genomic prediction in a backcross population using relationship matrices.Archives animal breeding · 2025Article
- Prediction of additive genetic variances of descendants for complex families based on Mendelian sampling variances.G3 (Bethesda, Md.) · 2024Article
- Genomic predictions of genetic variances and correlations among traits for breeding crosses in soybean.Heredity · 2024Article
- Improving selection decisions with mating information by accounting for Mendelian sampling variances looking two generations ahead.Genetics, selection, evolution : GSE · 2024Article
- Comparison of genomic-enabled cross selection criteria for the improvement of inbred line breeding populations.G3 (Bethesda, Md.) · 2023Article
- Comparison on genomic prediction using pedigree BLUP and single step GBLUP through the Hanwoo full-sib family.Animal bioscience · 2023Article
- Causal inference for the covariance between breeding values under identity disequilibrium.Genetics, selection, evolution : GSE · 2022Article
- Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices.Genetics · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMeasures of the expected genetic variability among full-sibs are of practical relevance, such as in the context of mating decisions. An important application field in animal and plant breeding is the selection and allocation of mates when large or small amounts of genetic variability among offspring are desired, depending on user-specific goals. Estimates of the Mendelian sampling variance can be obtained by simulating gametes from parents with known diplotypes. Knowledge of recombination rates and additive marker effects is also required. In this study, we aimed at developing an exact method that can account for both additive and dominance effects.
resultsWe derived parent-specific covariance matrices that exactly quantify the within-family (co-)variability of additive and dominance marker effects. These matrices incorporate prior knowledge of the parental diplotypes and recombination rates. When combined with additive marker effects, they allow the exact derivation of the Mendelian sampling (co-)variances of (estimated) breeding values for several traits, as well for the aggregate genotype. A comparative analysis demonstrated good average agreement between the exact values and the simulation results for a practical dataset (74,353 German Holstein cattle).
conclusionsThe newly derived method is suitable for calculating the exact amount of intra-family variation of the estimated breeding values and genetic values (comprising additive and dominance effects).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.