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A Guide to QTL Mapping with R/qtlIntroduction

A Guide to QTL Mapping with R/qtl: Introduction [Many phenotypes (traits) of biomedical, agricultural, or evolutionary importance are quantitative in nature. Examples include blood pressure (to study hypertension), milk output (in dairy breeding), and number of seeds produced per plant (to study evolutionary fitness). Many phenotypes such as coat color of mice, or cancer tumor aggressiveness, may not be strictly quantitative, but may be studied by a derived quantitative measure. We may classify mice by whether or not they have an agouti coat color, a 0/1 measure, or grade tumors by aggressiveness on a scale of 1 to 4 by examining tumor biopsies.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Guide to QTL Mapping with R/qtlIntroduction

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Publisher
Springer New York
Copyright
© Springer-Verlag New York 2009
ISBN
978-0-387-92124-2
Pages
1 –20
DOI
10.1007/978-0-387-92125-9_1
Publisher site
See Chapter on Publisher Site

Abstract

[Many phenotypes (traits) of biomedical, agricultural, or evolutionary importance are quantitative in nature. Examples include blood pressure (to study hypertension), milk output (in dairy breeding), and number of seeds produced per plant (to study evolutionary fitness). Many phenotypes such as coat color of mice, or cancer tumor aggressiveness, may not be strictly quantitative, but may be studied by a derived quantitative measure. We may classify mice by whether or not they have an agouti coat color, a 0/1 measure, or grade tumors by aggressiveness on a scale of 1 to 4 by examining tumor biopsies.]

Published: Jun 5, 2009

Keywords: Recombination Fraction; Experimental Cross; Average Phenotype; Miss Data Problem; Model Selection Problem

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