Foulkes, Andrea S. 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. Reviewer: Luciana Picco Botta (Torino) Cited in 2 Documents 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 Keywords:genetic epidemiology; genetic association studies Software:R; Bioconductor; PLINK; HAPLO; gcrma; snpMatrix; BayesTree; JGR × Cite Format Result Cite Review PDF Full Text: DOI