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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Dettagli Bibliografici
Pubblicato in:J Anim Sci Biotechnol
Autori principali: Wolc, Anna, Arango, Jesus, Settar, Petek, Fulton, Janet E., O’Sullivan, Neil P., Dekkers, Jack C. M., Fernando, Rohan, Garrick, Dorian J.
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2016
Soggetti:
Research
Accesso online: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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