Phenotypes and Genotypes

The Search for Influential Genes

  • Florian Frommlet
  • Małgorzata Bogdan
  • David Ramsey

Part of the Computational Biology book series (COBO, volume 18)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 1-8
  3. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 9-30
  4. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 31-72
  5. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 73-104
  6. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 105-161
  7. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 163-172
  8. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 173-178
  9. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 179-206
  10. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 207-213
  11. Florian Frommlet, Małgorzata Bogdan, David Ramsey
    Pages 215-217
  12. Back Matter
    Pages 219-222

About this book

Introduction

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.

Topics and 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, highlighting the advantages and shortcomings of the currently most commonly used methods
  • Illustrates the properties of methods for mapping quantitative trait loci using computer simulations and the analysis of real data
  • Discusses open challenges that remain to be solved in the future
  • Includes an extensive statistical appendix as a reference for those who are not totally familiar with the fundamentals of statistics

This important work is essential reading for researchers and graduate students wishing to enter the field of statistical genetics and/or interested in statistical issues related to the analysis of high-dimensional data. No prior background knowledge of genetics is required, although some basic mathematical and computer science skills are assumed.

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.

Keywords

Association Mapping Genome Wide Association Studies (GWAS) Quantitative Trait Loci (QTL) Trait Loci (TL) Gene Mapping

Authors and affiliations

  • Florian Frommlet
    • 1
  • Małgorzata Bogdan
    • 2
  • David Ramsey
    • 3
  1. 1.Center for Medical Statistics, InformatiMedical University of ViennaViennaAustria
  2. 2.Dept Pure and Applied MathematicsWroclaw University of TechnologyWrocławPoland
  3. 3.Department of Computer Science and ManagWrocław University of TechnologyWrocławPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-5310-8
  • Copyright Information Springer-Verlag London 2016
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-5309-2
  • Online ISBN 978-1-4471-5310-8
  • Series Print ISSN 1568-2684
  • About this book