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.


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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