Overview
- Introduces the major concepts of Quantitative Trait Loci mapping
- Discusses the methodology of Quantitative Trait Loci mapping in experimental populations
- Describes the methods for Genome Wide Association Studies and related multiple testing and model selection problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Computational Biology (COBO, volume 18)
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About this book
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.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the authors
Dr. Florian Frommlet is a researcher in the Center for Medical Statistics, Informatics, and Intelligent Systems at the Medical University of Vienna, Austria.
Dr. Małgorzata Bogdan is an Associate Professor in the Institute of Mathematics at Wrocław University, Poland.
Dr. David Ramsey is a Senior Lecturer in the Department of Operations Research at Wrocław University of Technology, Poland.
Bibliographic Information
Book Title: Phenotypes and Genotypes
Book Subtitle: The Search for Influential Genes
Authors: Florian Frommlet, Małgorzata Bogdan, David Ramsey
Series Title: Computational Biology
DOI: https://doi.org/10.1007/978-1-4471-5310-8
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2016
Hardcover ISBN: 978-1-4471-5309-2Published: 24 February 2016
Softcover ISBN: 978-1-4471-7380-9Published: 20 March 2019
eBook ISBN: 978-1-4471-5310-8Published: 12 February 2016
Series ISSN: 1568-2684
Series E-ISSN: 2662-2432
Edition Number: 1
Number of Pages: XII, 222
Number of Illustrations: 13 b/w illustrations, 20 illustrations in colour
Topics: Computational Biology/Bioinformatics, Bioinformatics, Statistics for Life Sciences, Medicine, Health Sciences