SUMMARY Quantitative trait loci mapping in experimental organisms is of great scientific and economic importance. There has been a rapid advancement in statistical methods for quantitative trait loci mapping. Various methods for normally distributed traits have been well established. Some of them have also been adapted for other types of traits such as binary, count, and categorical traits. In ...

We start by considering crosses between inbred lines. The analysis of such crosses illustrates many of the fundamental features of QTL mapping without the additional complications that arise with outbred populations. Although inbred line crosses are uncommon in animal breeding (outside of rats and mice), crosses between widely-differing lines are often treated as an inbred line cross, as we ass...

We start by considering crosses between inbred lines. The analysis of such crosses illustrates many of the fundamental features of QTL mapping without the additional complications that arise with outbred populations. Although inbred line crosses are uncommon in animal breeding (outside of rats and mice), crosses between widely-differing lines are often treated as an inbred line cross, as we ass...

Genomewide multiple-loci mapping can be viewed as a challenging variable selection problem where the major objective is to select genetic markers related to a trait of interest. It is challenging because the number of genetic markers is large (often much larger than the sample size) and there is often strong linkage or linkage disequilibrium between markers. In this article, we developed two me...

We characterized a movement disorder of Chinese Crested dogs clinically and pathologically indistinguishable from canine multiple system degeneration (CMSD) previously recognized in Kerry Blue Terriers. This fatal disease segregated as an autosomal recessive in a 51-dog pedigree of both breeds and their crosses. The occurrence of affected dogs among first-generation crosses demonstrated that th...

Genome-wide multiple loci mapping can be viewed as a variable selection problem where the major objective is to select genetic markers related with a trait of interest. This is a challenging variable selection problem because the number of genetic markers is large (often much larger than the sample size) and there are often strong linkage or linkage disequilibrium between markers. In this paper...

Preface Statistical developments have in many cases been driven by applications in science. While genetics was always an important area that encouraged statistical research, recent technological advances in this discipline pose ever new and challenging problems to statisticians. This thesis covers the application of model selection to QTL mapping, i.e. locating genes that influence a quantitati...