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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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出版年: | J Anim Sci Biotechnol |
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主要な著者: | , , , , , , , |
フォーマット: | Artigo |
言語: | Inglês |
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BioMed Central
2016
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主題: | |
オンライン・アクセス: | 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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