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Statistical Genetics of Quantitative TraitsInterval Mapping with Regression Analysis

Statistical Genetics of Quantitative Traits: Interval Mapping with Regression Analysis [The genetic analysis of quantitative traits includes two major tasks: (1) identifying the location of QTLs affecting a quantitative trait using a genetic linkage map constructed from molecular markers, and (2) estimating the genetic effects of the QTLs on the phenotype. If the genotypes of a putative QTL were known for all individuals, its genomic location could be readily determined using a marker linkage analysis. Furthermore, the genetic effects of the QTL could be precisely estimated and tested by simple t tests or ANOVA. However, it is not possible for the genotypes of QTLs to be directly observed; instead they should be inferred from observed marker and phenotypic information. As was seen in Chapter 8, a marker analysis cannot unambiguously separate the genetic effects of a QTL from the recombination fraction between the markers and QTL.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Statistical Genetics of Quantitative TraitsInterval Mapping with Regression Analysis

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Publisher
Springer New York
Copyright
© Springer Science + Business Media, LLC 2007
ISBN
978-0-387-20334-8
Pages
223 –235
DOI
10.1007/978-0-387-68154-2_10
Publisher site
See Chapter on Publisher Site

Abstract

[The genetic analysis of quantitative traits includes two major tasks: (1) identifying the location of QTLs affecting a quantitative trait using a genetic linkage map constructed from molecular markers, and (2) estimating the genetic effects of the QTLs on the phenotype. If the genotypes of a putative QTL were known for all individuals, its genomic location could be readily determined using a marker linkage analysis. Furthermore, the genetic effects of the QTL could be precisely estimated and tested by simple t tests or ANOVA. However, it is not possible for the genotypes of QTLs to be directly observed; instead they should be inferred from observed marker and phenotypic information. As was seen in Chapter 8, a marker analysis cannot unambiguously separate the genetic effects of a QTL from the recombination fraction between the markers and QTL.]

Published: Jan 1, 2007

Keywords: Conditional Probability; Interval Mapping; Marker Genotype; Marker Interval; Recombination Fraction

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