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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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書誌詳細
出版年:J Anim Sci Biotechnol
主要な著者: Wolc, Anna, Arango, Jesus, Settar, Petek, Fulton, Janet E., O’Sullivan, Neil P., Dekkers, Jack C. M., Fernando, Rohan, Garrick, Dorian J.
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2016
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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