Phenotypes and Genotypes: The Search for Influential Genes

✍ Scribed by Florian Frommlet, Małgorzata Bogdan, David Ramsey (auth.)

Publisher: Springer-Verlag London
Year: 2016
Tongue: English
Leaves: 232
Series: Computational Biology 18
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This timely text presents a comprehensive guide to genetic association, a new and rapidly expanding field that aims to elucidate how our genetic code (genotypes) influences the traits we possess (phenotypes). The book provides a detailed review of methods of gene mapping used in association with experimental crosses, as well as genome-wide association studies. Emphasis is placed on model selection procedures for analyzing data from large-scale genome scans based on specifically designed modifications of the Bayesian information criterion. Features: presents a thorough introduction to the theoretical background to studies of genetic association (both genetic and statistical); reviews the latest advances in the field; illustrates the properties of methods for mapping quantitative trait loci using computer simulations and the analysis of real data; discusses open challenges; includes an extensive statistical appendix as a reference for those who are not totally familiar with the fundamentals of statistics.

✦ Table of Contents

Front Matter....Pages i-xii
Introduction....Pages 1-8
A Primer in Genetics....Pages 9-30
Statistical Methods in High Dimensions....Pages 31-72
Statistical Methods of QTL Mapping for Experimental Populations....Pages 73-104
Statistical Analysis of GWAS....Pages 105-161
Appendix A: Basic Statistical Distributions....Pages 163-172
Appendix B: Basic Methods of Estimation....Pages 173-178
Appendix C: Principles of Statistical Testing....Pages 179-206
Appendix D: Elements of Bayesian Statistics....Pages 207-213
Appendix E: Other Statistical Methods....Pages 215-217
Back Matter....Pages 219-222

✦ Subjects

Computational Biology/Bioinformatics; Bioinformatics; Statistics for Life Sciences, Medicine, Health Sciences

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