Mapping Quantitative Trait Loci in Humans -- Association Studies -- Parametric Linkage Analysis -- Nonparametric Linkage Analysis -- Nonparametric Linkage Analysis -- Linkage and Association -- Joint Linkage and Segregation Analysis Using Markov Chain Monte Carlo Methods -- 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 -- Case Study of QTL Analysis in a Mouse Model of Asthma -- Mapping Quantitative Trait Loci in Agricultural Settings -- QTL Analysis in Plants -- QTL Analysis in Livestock.

Statistical methods for the analysis of quantitative trait locus (QTL), in conjunction with genome-wide screening technologies, are today yielding exciting results in the study of human disease, experimental organisms, and agriculture. In Quantitative Trait Loci: Methods and Protocols, Drs. Nicola Camp and Angela Cox have assembled a highly experienced panel of statistical geneticists who demonstrate in a step-by-step fashion how to use this powerful methodology and associated software for the detection and fine mapping of quantitative trait loci. 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 useful variations and/or extensions to standard methods are included that ease the reader toward 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. Up-to-date and highly practical, Quantitative Trait Loci: Methods and Protocols makes available to nonmathematical investigators a step-by-step guide to the productive use today of all the latest techniques for localizing genes involved in complex quantitative traits.