Titlebook: Analysis of Genetic Association Studies; Gang Zheng,Yaning Yang,Robert C. Elston Book 2012 Springer Science+Business Media, LLC 2012 Assoc

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https://doi.org/10.1007/978-981-99-5310-3nvironmental factor effect, and the gene-environment interaction are given. More general cases for gene and environmental factors are briefly discussed. Three common tests for gene-environment interaction are studied, including the Score test, the likelihood ratio test (LRT) and the Wald test. Examp

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Analysis of Genetic Association Studies978-1-4614-2245-7Series ISSN 1431-8776 Series E-ISSN 2197-5671

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https://doi.org/10.1007/978-981-99-5310-3nvironmental factor effect, and the gene-environment interaction are given. More general cases for gene and environmental factors are briefly discussed. Three common tests for gene-environment interaction are studied, including the Score test, the likelihood ratio test (LRT) and the Wald test. Examples are given with detailed calculations.

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Single-Marker Analysis for Matched Case-Control Datag such that m is not fixed but changes over the different matched sets. The matched trend test, the matched disequilibrium test, and a model-free test are derived. Methods to simulate matched case-control data are discussed. Results of simulation studies are reported.

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Bayes Factors for Case-Control Association Studiescoded. Bayesian analysis based on a full saturated model is an alternative approach, which is also studied. Examples are given of using Bayes factors and approximate Bayes factors for the analysis of case-control association studies. Covariates can be adjusted out in the analysis. Results of simulation studies are presented.

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Gene-Gene Interactionseasures are given. Their relation to the log-linear model is also discussed. For higher order gene-gene interactions, the multifactor dimensionality reduction method and logic regression are briefly discussed.

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Book 2012tion to providing derivations, the book uses real examples and simulations to illustrate step-by-step applications.? Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary background knowledge.? The organization of this work allows for both casual reference and close study.? .