Genetics, Vol. 156, 899-911, October 2000, Copyright © 2000

Multitrait Least Squares for Quantitative Trait Loci Detection

Sara A. Knotta and Chris S. Haleyb
a Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom
b Roslin Institute (Edinburgh), Midlothian EH25 9PS, United Kingdom

Corresponding author: Sara A. Knott, Institute of Cell, Animal and Population Biology, University of Edinburgh, W. Mains Rd., Edinburgh EH9 3JT, United Kingdom., s.knott{at}ed.ac.uk (E-mail)

Communicating editor: T. F. C. MACKAY

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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