Data from: Comparison of biometrical models for joint linkage association mapping

Wenxin Liu, Manje Gowda, Hans Peter Maurer, Sandra Fischer, Axel Schechert, Jochen C. Reif & Tobias Würschum
Joint linkage association mapping (JLAM) combines the advantages of linkage mapping and association mapping, and is a powerful tool to dissect the genetic architecture of complex traits. The main goal of this study was to use a cross-validation strategy, resample model averaging and empirical data analyses to compare seven different biometrical models for JLAM with regard to the correction for population structure and the quantitative trait loci (QTL) detection power. Three linear models and four...
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