This paper presents a simple approach for increasing the detection power of a QTL which affects a trait of interest. The method is based on the combined analysis of the residuals of the linear regression of the trait of interest on a correlated trait and of original traits. Simulation results indicated that the QTL detection performed on the residuals increased the detection power of non-pleiotropic QTL specific to the trait of interest and pleiotropic QTL acting in the opposite direction with respect to the overall genetic correlation. The QTL detection analysis on the correlated trait is essential to control the risk of false detection occurring when the QTL only affects the correlated trait. The proposed approach was successfully applied to real data and allowed the detection of a QTL affecting maximum milk emission flow in sheep without effect on the correlated trait milk yield.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume , , 20.10, 2006
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