Quantitative Trait Loci: Methods and Protocols / Edition 1

by Nicola J. Camp, Angela Cox

Overview

In Quantitative Trait Loci: Methods and Prools, 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.

Product Details

ISBN-13:	9780896039278
Publisher:	Springer-Verlag New York, LLC
Publication date:	04/26/2002
Series:	Methods in Molecular Biology , #195
Edition description:	2002
Pages:	360
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

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 Livesk.

Editorial Reviews

"...for nonstatistical students, this well-designed book provides 'detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results," as advertised on its back cover." - American Journal of Human Biology

From the Publisher