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Applied statistical genetics with R. For population-based association studies. (English) Zbl 1217.62166

Use R!. New York, NY: Springer (ISBN 978-0-387-89553-6/pbk; 978-0-387-89554-3/ebook). xxiii, 252 p. (2009).
This graduate-level text gives basic statistical concepts and computational tools for population-based genetic association studies. Knowledge of basic statistical methods is assumed. The topics include (by Chapter): 1. Genetic association studies (overviewing types of investigations and terminology with examples); 2. Elementary statistical principles (giving relevant epidemiological concepts, methods for measuring and testing associations, and analytic challenges); 3. Genetic data concepts and tests (overviewing linkage disequilibrium, Hardy-Weinberg equilibrium and quality control); 4. Multiple comparison procedures (testing concepts and methods for appropriate adjustment); 5. Methods for unobservable phase (haplotype estimation and testing haplotype-trait association); 6. Classification and regression trees; 7. Additional topics (including random forests, logistic regression, MARS – multivariate regression splines, and briefly Bayesian variable selection).
There are extensive examples using the open-source statistical computing environment R. In the Appendix, R basics are overviewed. The text is clearly written, but would have benefitted from better linking of where data from each study was (previously) used as an example.

MSC:

62P10 Applications of statistics to biology and medical sciences; meta analysis
92D10 Genetics and epigenetics
62-02 Research exposition (monographs, survey articles) pertaining to statistics
62-04 Software, source code, etc. for problems pertaining to statistics
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
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