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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.
List of contents
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.
About the author
Dr. Florian Frommlet is a researcher in the Center for Medical Statistics, Informatics, and Intelligent Systems at the Medical University of Vienna, Austria.
Dr. Mägorzata Bogdan is an Associate Professor in the Institute of Mathematics at Wroc¿aw University, Poland.
Dr. David Ramsey is a Senior Lecturer in the Department of Operations Research at Wroc¿aw University of Technology, Poland.
Summary
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.
