University of Washington - Department of Statistics
Genetic mapping of quantitative traits is an area of much interest in the fields of agricultural and medical genetics. The ability to identify and map the position of genes having a major effect on quantitative traits (Quantitative Trait Loci or QTL) such as growth rates in farm animals or susceptibility to a disease in humans can be very useful in understanding and/or exploiting the trait. MCMC methods have become widely used for both likelihood based and Bayesian approaches to genetic mapping, mainly due to the ease with which more complex models and population structures can be accommodated. In this talk I will discuss using Gibbs sampling to implement a Bayesian approach to QTL mapping and illustrate the advantages of, and problems with, this method.