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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Détails bibliographiques
Publié dans:J Anim Sci Biotechnol
Auteurs principaux: Wolc, Anna, Arango, Jesus, Settar, Petek, Fulton, Janet E., O’Sullivan, Neil P., Dekkers, Jack C. M., Fernando, Rohan, Garrick, Dorian J.
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2016
Sujets:
Research
Accès en ligne: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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