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Presenting statistical methods for the genetic analysis of quantitative traits, 12 contributions review recent methodologies in the areas of human traits underlying disease, experimental organisms as models for human disease, and crop and livestock applications in agriculture. Each chapter examines the steps for proceeding with specific analyses, including discussion of appropriate software, interpretation of results and worked examples. Camp (genetic epidemiology, U. of Utah School of Medicine, US) and Cox (Institute for Cancer Studies, U. of Sheffield Medical School, UK) include examinations of association studies, parametric linkage analysis, join linkage and segregation analysis using Markov chain Monte Carlo methods, experimental designs for qualitative trait locus analysis in mice, and approaches to the analysis of complex quantitative phenotypes and marker map construction based on the analysis of rat models of hypertension.
Book Info

Univ. of Utah, Salt Lake City. Features include an emphasis on explanations understandable to the nonmathematician, clear instruction on the best software and how to use it, a guide to QTL methods for detecting and fine mapping quantitative trait loci, and coverage of variance component and quantitative TDT methods.

Book Description

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.

Dedication
Preface
Contributors
Pt. I Mapping Quantitative Trait Loci in Humans
1 Association Studies 3
2 Parametric Linkage Analysis 13
3 Nonparametric Linkage Analysis: I. Haseman-Elston 37
4 Nonparametric Linkage Analysis: II. Variance Components 61
5 Linkage and Association: The Transmission/Disequilibrium Test for QTLS 101
6 Joint Linkage and Segregation Analysis Using Markov Chain Monte Carlo Methods 139
Pt. II Mapping Quantitative Trait Loci in Rodents
7 Approaches to the Analysis of QTL Data in Mice, Using the Nonobese Diabetic Mouse as an Example 165
8 Experimental Designs for QTL Fine Mapping in Rodents 199
9 Approaches to the Analysis of Complex Quantitative Phenotypes and Marker Map Construction Based on the Analysis of Rat Models of Hypertension 225
10 A Case Study of QTL Analysis in a Mouse Model of Asthma 253
Pt. III Mapping Quantitative Trait Loci in Agricultural Settings
11 QTL Analysis in Plants 283
12 QTL Analysis in Livestock 311
Index