Genetic prediction of complex traits: integrating infinitesimal and marked genetic effects

dc.creatorCarre, C.
dc.creatorGamboa, F.
dc.creatorCros, D.
dc.creatorHickey, J.M.
dc.creatorGorjanc, G.
dc.creatorManfredi, E.
dc.date2013-11-24T18:05:37Z
dc.date2013-11-24T18:05:37Z
dc.date2013
dc.date.accessioned2023-07-17T19:57:19Z
dc.date.available2023-07-17T19:57:19Z
dc.identifier0016-6707
dc.identifierhttp://hdl.handle.net/10883/3244
dc.identifier10.1007/s10709-013-9722-9
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7509096
dc.descriptionGenetic prediction for complex traits is usually based on models including individual (infinitesimal) or marker effects. Here, we concentrate on models including both the individual and the marker effects. In particular, we develop a ?Mendelian segregation? model combining infinitesimal effects for base individuals and realized Mendelian sampling in descendants described by the available DNA data. The model is illustrated with an example and the analyses of a public simulated data file. Further, the potential contribution of such models is assessed by simulation. Accuracy, measured as the correlation between true (simulated) and predicted genetic values, was similar for all models compared under different genetic backgrounds. As expected, the segregation model is worthwhile when markers capture a low fraction of total genetic variance.
dc.description239-246
dc.formatPDF
dc.languageEnglish
dc.publisherSpringer Verlag
dc.publisherhttp://link.springer.com/article/10.1007%2Fs10709-013-9722-9
dc.rightsOpen Access
dc.source4-6
dc.source141
dc.sourceGenetica
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectGenetic Prediction
dc.subjectMendelian Sampling
dc.subjectGENETICS
dc.subjectFORECASTING
dc.subjectARTIFICIAL SELECTION
dc.subjectSINGLE NUCLEOTIDE POLYMORPHISM
dc.subjectSAMPLING
dc.titleGenetic prediction of complex traits: integrating infinitesimal and marked genetic effects
dc.typeArticle


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