Please use this identifier to cite or link to this item:
192.168.6.56/handle/123456789/55679
Title: | Applied Statistical Genetics with R |
Authors: | Andrea S. Foulkes |
Keywords: | Genetics with R |
Issue Date: | 2009 |
Publisher: | Springer |
Description: | This book is intended to provide fundamental statistical concepts and tools relevant to the analysis of genetic data arising from population-based association studies. Elementary knowledge of statistical methods at the level of a first course in biostatistics is assumed. Chapters 1–3 provide a general overview of the genetic and epidemiological considerations relevant to this setting. Topics covered include: (1) types of investigations, typical data components and features in genetic association studies, and basic genetic vocabulary (Chapter 1); (2) epidemiological principles relevant to population-based studies, including confounding and effect modification (Chapter 2); (3) elementary statistical methods for estimating and testing association (Chapter 2); (4) the overarching analytical challenges inherent in these investigations (Chapter 2); (5) basic genetic concepts, including linkage disequilibrium, Hardy-Weinberg equilibrium, and haplotypic phase (Chapter 3); and (6) quality control methods for assessing genotyping errors and population substructure (Chapter 3). |
URI: | http://10.6.20.12:80/handle/123456789/55679 |
ISBN: | 978-0-387-89554-3 |
Appears in Collections: | Population Studies |
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