Multitrait least squares for quantitative trait loci detection.

S A Knott; C S Haley

doi:10.1093/genetics/156.2.899

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Multitrait least squares for quantitative trait loci detection.

S A Knott·C S Haley

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Abstract

A multiple-trait QTL mapping method using least squares is described. It is presented as an extension of a single-trait method for use with three-generation, outbred pedigrees. The multiple-trait framework allows formal testing of whether the same QTL affects more than one trait (i.e., a pleiotropic QTL) or whether more than one linked QTL are segregating. Several approaches to the testing procedure are presented and their suitability discussed. The performance of the method is investigated by simulation. As previously found, multitrait analyses increase the power to detect a pleiotropic QTL and the precision of its location estimate. With enough information, discrimination between alternative genetic models is possible.

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Animals Computer Simulation Genetic Linkage Least-Squares Analysis Models, Genetic Models, Statistical Quantitative Trait, Heritable Journal Article Research Support, Non-U.S. Gov't

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S A Knott, C S Haley. 2000. Multitrait least squares for quantitative trait loci detection.. https://doi.org/10.1093/genetics%2F156.2.899

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