Thistimely text presents a comprehensive guide to genetic association, a new andrapidly expanding field that aims to elucidate how our genetic code (genotypes)influences the traits we possess (phenotypes). The book provides a detailedreview of methods of gene mapping used in association with experimentalcrosses, as well as genome-wide association studies. Emphasis is placed onmodel selection procedures for analyzing data from large-scale genome scansbased on specifically designed modifications of the Bayesian informationcriterion. Features: presents a thorough introduction to the theoreticalbackground to studies of genetic association (both genetic and statistical); reviewsthe latest advances in the field; illustrates the properties of methods formapping quantitative trait loci using computer simulations and the analysis ofreal data; discusses open challenges; includes an extensive statisticalappendix as a reference for those who are not totally familiar with thefundamentals of statistics.
This book explores association mapping in experimental populations and genome-wide association studies (GWAS), emphasizing methods based on modifications of Bayesian information criterion, for handling testing problems in large-scale scans for trait loci.
Introduction
A Primer in Genetics
Statistical Methods in High Dimensions
Statistical Methods of QTL Mapping for Experimental Populations
Statistical Analysis of GWAS
Appendix A: Basic Statistical Distributions
Appendix B: Basic Methods of Estimation
Appendix C: Principles of Statistical Testing
Appendix D: Elements of Bayesian Statistics
Appendix E: Other Statistical Methods
Dr. Florian Frommlet is a researcher in the Center for Medical Statistics, Informatics, and Intelll3!
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