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Titlebook: Quantitative Trait Loci; Methods and Protocol Nicola J. Camp,Angela Cox Book 2002 Humana Press 2002

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Nonparametric Linkage Analysisgical and behavioral traits could result from the inheritance of many individualloci. This formed the polygenic biometrical model, however, it should be noted that none of the biometrical expectations depend on the number of genes involved.
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Joint Linkage and Segregation Analysis Using Markov Chain Monte Carlo Methodsraits that are measured on a scale that permits analysis as quantitative traits. A few examples are Alzheimer’s disease (where age at onset is the continuous trait), various lipid levels, learning disabilities, and hypertension. The goal is to map quantitative trait loci (QTLs) that contribute to such traits.
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Nonparametric Linkage Analysisf quantitative traits using the sib-pair study design. In the following subheading, a brief introduction to linear regression precedes a description of the traditional and new Haseman-Elston theory. The Methods, Interpretation, and Worked Example sections of the chapter are all based on the programs
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Nonparametric Linkage Analysisrrelation Between Relatives on the Supposition of Mendelian Inheritance” (.), Fisher demonstrated that the normal distribution observed for many biological and behavioral traits could result from the inheritance of many individualloci. This formed the polygenic biometrical model, however, it should
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Joint Linkage and Segregation Analysis Using Markov Chain Monte Carlo Methods typically show evidence of familial influences, but do not follow simple Mendelian patterns of inheritance. Of interest in this chapter are complex traits that are measured on a scale that permits analysis as quantitative traits. A few examples are Alzheimer’s disease (where age at onset is the con
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