Statistical Genetics of Quantitative Traits

Aimed at graduate students and researchers and including statistical models and analytical procedures, this book introduces the basic concepts and methods used in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture and related fields.

Aimed at graduate students and researchers, this book introduces the basic concepts and methods used in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. Assuming a background in regression analysis and maximum likelihood approaches, the strength of this book lies in the construction of general models and algorithms for linkage analysis and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops. It also provides plant and animal model systems for outbred lines in forest trees and wildlife species. The book includes a detailed description of each approach and the step-by-step demonstration of live-example analyses designed to explain the utilization and usefulness of statistical methods.

Provides basic statistical models and analytical procedures for detecting specific genes that control quantitative traits of economical and biological importance from these data Includes supplementary material: sn.pub/extras

Klappentext

The book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping and assumes a background in regression analysis and maximum likelihood approaches. The strengths of this book lie in the construction of general models and algorithms for linkage analysis and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops and plant and animal model systems or outbred lines in forest trees and wildlife species.

The book includes a detailed description of each approach and the step-by-step demonstration of live-example analyses designed to explain the utilization and usefulness of statistical methods. The book also includes exercise sets and computer codes for all the analyses used.

This book can serve as a textbook for graduates and senior undergraduates in genetics, agronomy, forest biology, plant breeding and animal sciences. It will also be useful to researchers and other professionals in the areas of statistics, biology and agriculture.

Rongling Wu is Associate Professor of Statistics at the University of Florida, Gainesville. He currently serves as Associate Editor for six genetics and bioinformatics journals. Chang-Xing Ma is Assistant Professor of Biostatistics at the State University of New York at Buffalo. George Casella is Distinguished Professor of Statistics and Distinguished Member of the Genetics Institute at the Univesity of Florida, Gainesville. He is a fellow of the American Statistical Association and the Institute of Mathematical Sciences, and the author of four other statistics books.

Inhalt
Basic Genetics.- Basic Statistics.- Linkage Analysis and Map Construction.- A General Model for Linkage Analysis in Controlled Crosses.- Linkage Analysis with Recombinant Inbred Lines.- Linkage Analysis for Distorted and Misclassified Markers.- Special Considerations in Linkage Analysis.- Marker Analysis of Phenotypes.- The Structure of QTL Mapping.- Interval Mapping with Regression Analysis.- Interval Mapping by Maximum Likelihood Approach.- Threshold and Precision Analysis.- Composite QTL Mapping.- QTL Mapping in Outbred Pedigrees.