Phenotypes and Genotypes / Computational Biology Bd.18 (PDF)

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. Malgorzata Bogdan is an Associate Professor
in the Institute of Mathematics at Wroclaw University, Poland. Dr. David Ramsey
is a Senior Lecturer in the Department of Operations Research at Wroclaw
University of Technology, Poland.