Titlebook: Applied Statistical Genetics with R; For Population-based Andrea S. Foulkes Textbook 2009 Springer-Verlag New York 2009 Haplotype.Observabl

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Methods for Unobservable Phase,ationlevel haplotype frequencies; that is, the prevalence of specific haplotypes in the general population. Investigators are also interested in making inference about the association between haplotypes and a trait. This chapter addresses both aims and is divided into two sections. The First (Sectio

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Additional Topics in High-Dimensional Data Analysis,2), West (2003), Lunn . (2006) and Hoggart . (2008), among others. Bayesian variable selection approaches are becoming increasingly popular in the analysis of high-throughput genotype data for identifying sets of SNPs that are associated with the trait under investigation. Finally, we end with a lis

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Textbook 2009inciples in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R. .

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https://doi.org/10.1007/978-3-642-72266-0e variables and specifically important in the analysis of genetic association in population-based investigations. The chapter is divided into three sections. Section 2.1 offers a general background, including the notation used throughout this text and some elementary probability concepts. This secti