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A Guide to QTL Mapping with R/qtlTwo-dimensional, two-QTL scans

A Guide to QTL Mapping with R/qtl: Two-dimensional, two-QTL scans [Most complex traits are understood to be the result of the action of multiple genetic loci. Some loci may be linked, and the effect of some loci may depend on the genotype at others (epistasis). In this chapter, we undertake the first step in the direction of teasing apart the multiple linked or interacting QTL underlying a quantitative trait, by contemplating two-dimensional, two-QTL genome scans.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Guide to QTL Mapping with R/qtlTwo-dimensional, two-QTL scans

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Publisher
Springer New York
Copyright
© Springer-Verlag New York 2009
ISBN
978-0-387-92124-2
Pages
213 –239
DOI
10.1007/978-0-387-92125-9_8
Publisher site
See Chapter on Publisher Site

Abstract

[Most complex traits are understood to be the result of the action of multiple genetic loci. Some loci may be linked, and the effect of some loci may depend on the genotype at others (epistasis). In this chapter, we undertake the first step in the direction of teasing apart the multiple linked or interacting QTL underlying a quantitative trait, by contemplating two-dimensional, two-QTL genome scans.]

Published: Jun 5, 2009

Keywords: Binary Trait; Left Triangle; Hyper Data; Miss Genotype Data; Knott Regression

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