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Mixture models detect large effect QTL better than GBLUP and result in more accurate and persistent predictions
BACKGROUND: Accurate evaluation of SNP effects is important for genome wide association studies and for genomic prediction. The genetic architecture of quantitative traits differs widely, with some traits exhibiting few if any quantitative trait loci (QTL) with large effects, while other traits have...
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| Опубликовано в: : | J Anim Sci Biotechnol |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4750167/ https://ncbi.nlm.nih.gov/pubmed/26870325 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40104-016-0066-z |
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