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. Ma?gorzata 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.