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

Author: Carre, C.
Author: Gamboa, F.
Author: Cros, D.
Author: Hickey, J.M.
Author: Gorjanc, G.
Author: Manfredi, E.
Year: 2013
ISSN: 0016-6707
URI: http://hdl.handle.net/10883/3244
Abstract: Genetic 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.
Format: PDF
Language: English
Publisher: Springer Verlag
Type: Article
Pages: 239-246
Issue: 4-6
Volume: 141
DOI: 10.1007/s10709-013-9722-9
Keywords: Genetic Prediction
Keywords: Mendelian Sampling
Publisher URI: http://link.springer.com/article/10.1007%2Fs10709-013-9722-9
Agrovoc: GENETICS
Agrovoc: FORECASTING
Agrovoc: ARTIFICIAL SELECTION
Agrovoc: SINGLE NUCLEOTIDE POLYMORPHISM
Agrovoc: SAMPLING
Journal: Genetica


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  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

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