Part I. Mapping Quantitative Trait Loci in Humans. Association Studies. Parametric Linkage Analysis. Nonparametric Linkage Analysis: I. Haseman-Elston. Nonparametric Linkage Analysis: II. Variance Components. Linkage and Association: The Transmission/Disequilibrium Test for QTLs. Joint Linkage and Segregation Analysis Using Markov Chain Monte Carlo Methods. Part II. Mapping Quantitative Trait Loci in Rodents. Approaches to the Analysis of QTL Data in Mice, Using the Nonobese Diabetic Mouse as an Example. Experimental Designs for QTL Fine Mapping in Rodents. Approaches to the Analysis of Complex Quantitative Phenotypes and Marker Map Construction Based on the Analysis of Rat Models of Hypertension. A Case Study of QTL Analysis in a Mouse Model of Asthma. Part III. Mapping Quantitative Trait Loci in Agricultural Settings. QTL Analysis in Plants. QTL Analysis in Livestock. Index.
(source: Nielsen Book Data)
In "Quantitative Trait Loci: Methods and Protocols", a panel of highly experienced statistical geneticists demonstrate in a step-by-step fashion how to successfully analyze quantitative trait data using a variety of methods and software for the detection and fine mapping of quantitative trait loci (QTL). Writing for the nonmathematician, these experts guide the investigator from the design stage of a project onwards, providing detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results. Worked examples, citations to key papers, and variations in method ease the way to understanding and successful studies. Among the cutting-edge techniques presented are QTDT methods, variance components methods, and the Markov Chain Monte Carlo method for joint linkage and segregation analysis. (source: Nielsen Book Data)