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Best Prediction of the Additive Genomic Variance in Random-Effects Models
The additive genomic variance in linear models with random marker effects can be defined as a random variable that is in accordance with classical quantitative genetics theory. Common approaches to estimate the genomic variance in random-effects linear models based on genomic marker data can be rega...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Genetics Society of America
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781909/ https://www.ncbi.nlm.nih.gov/pubmed/31383770 http://dx.doi.org/10.1534/genetics.119.302324 |