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• W2124205711 startingPage "433" @default.
• W2124205711 abstract "Abstract Mapping of quantitative trait loci (QTL) for backcross and F2 populations may be set up as a multiple linear regression problem, where marker types are the regressor variables. It has been shown previously that flanking markers absorb all information on isolated QTL. Therefore, selection of pairs of markers flanking QTL is useful as a direct approach to QTL detection. Alternatively, selected pairs of flanking markers can be used as cofactors in composite interval mapping (CIM). Overfitting is a serious problem, especially if the number of regressor variables is large. We suggest a procedure denoted as marker pair selection (MPS) that uses model selection criteria for multiple linear regression. Markers enter the model in pairs, which reduces the number of models to be considered, thus alleviating the problem of overfitting and increasing the chances of detecting QTL. MPS entails an exhaustive search per chromosome to maximize the chance of finding the best-fitting models. A simulation study is conducted to study the merits of different model selection criteria for MPS. On the basis of our results, we recommend the Schwarz Bayesian criterion (SBC) for use in practice." @default.
• W2124205711 created "2016-06-24" @default.
• W2124205711 creator A5011040646 @default.
• W2124205711 creator A5060954990 @default.
• W2124205711 date "2001-01-01" @default.
• W2124205711 modified "2023-10-02" @default.
• W2124205711 title "Marker Pair Selection for Mapping Quantitative Trait Loci" @default.
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• W2124205711 doi "https://doi.org/10.1093/genetics/157.1.433" @default.
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