Rongling Wu, Changxing Ma, George Casella

Statistical Genetics of Quantitative Traits (eBook, PDF)

Linkage, Maps and QTL

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 368
• Erscheinungstermin: 17. Juli 2007
• Englisch
• ISBN-13: 9780387681542
• Artikelnr.: 37286431

Autorenporträt

Rongling Wu, University of Florida, Gainesville, FL, USA / Changxing Ma, University at Buffalo, Buffalo, NY, USA / George Casella, University of Florida, Gainesville, FL, USA

Inhaltsangabe

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.

Rezensionen

From the Reviews: "[I]t is a big help and guidance in the field of statistical developments for genetic mapping, synthesised all in one volume helping to build a bridge between genetics and statistics." (Lutz Bunger, Genetic Research, 89, 2007) "...[T]his is an ideal book for a young researcher looking for an exciting and developing field to get into." (International Statistics Review, April 2008)