Multitrait least squares for quantitative trait loci detection

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)899-911
Number of pages13
JournalGenetics
Volume156
Issue number2
Publication statusPublished - Oct 2000

Keywords

  • Animals
  • Computer Simulation
  • Genetic Linkage
  • Least-Squares Analysis
  • Models, Genetic
  • Models, Statistical
  • Quantitative Trait, Heritable

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