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 methodsIllustrates the properties of methods for mapping
quantitative trait loci using computer simulations and the analysis of real
dataDiscusses open challenges that remain to be solved in the
futureIncludes 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.
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.
Florian Frommlet
Association Mapping Genome Wide Association Studies (GWAS) Quantitative Trait Loci (QTL) Trait Loci (TL) Gene Mapping