ArticleGenetics, selection, evolution : GSE2024
Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation-maximization maximum likelihood and increase of relationships.
Article in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Use of Cluster Analysis for Identifying Metafounders.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Computing inbreeding coefficients accounting for unknown parents using pedigree-based metafounders.JDS communications · 2026Article
- A modified indirect method for computing inbreeding coefficients.Genetics, selection, evolution : GSE · 2026Article
- randPedPCA: rapid approximation of principal components from large pedigrees.Genetics, selection, evolution : GSE · 2025Article
- Monte Carlo approximation of the logarithm of the determinant of large matrices with applications for linear mixed models in quantitative genetics.Genetics, selection, evolution : GSE · 2025Article
- Article
- Redefining and interpreting genomic relationships of metafounders.Genetics, selection, evolution : GSE · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe theory of "metafounders" proposes a unified framework for relationships across base populations within breeds (e.g. unknown parent groups), and base populations across breeds (crosses) together with a sensible compatibility with genomic relationships. Considering metafounders might be advantageous in pedigree best linear unbiased prediction (BLUP) or single-step genomic BLUP. Existing methods to estimate relationships across metafounders
methodsWe derive likelihood methods to estimate
resultsFor a single metafounder, the ML estimates of the Lacaune data corresponded to the maximum. For simulated data, when genotypes were spread across all generations, both GLS and pseudo-EM(+
conclusionsWe derived ML, pseudo-EM and pseudo-EM+
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