Quantitative trait locus (QTL) mapping is used to discover the genetic and molecular architecture underlying complex quantitative traits. This illustrated book is a comprehensive guide to the practice of QTL mapping and the use of R/qtl.

Gives an overview of the practical aspects of the analysis of QTL mapping experiments based on inbred line crosses, with explicit instructions on the use of the R/qtl software

Zusammenfassung
It is implemented as a package for the widely used open source statistical software R and contains a diverse array of QTL mapping methods, diagnostic tools for ensuring high-quality data, and facilities for the fit and exploration of multiple-QTL models, including QTL x QTL and QTL x environment interactions.

Inhalt
Importing and simulating data.- Data checking.- Single-QTL analysis.- Non-normal phenotypes.- Experimental design and power.- Working with covariates.- Two-dimensional, two-QTL scans.- Fit and exploration of multiple-QTL models.- Case study I.- Case study II.