The discipline of statistical genetics is highly computational. Be it exact computational methods, simulation based, or a hybrid of the two, computational packages are indispensable tools and constant companions of researchers in the field. This handbook is intended to provide human geneticists and other biomedical researchers with guidance on selections of appropriate computational methods and software packages for their specific genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodologically oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches so that the readers can make informed choices to best match their specific needs.
Author(s): Shili Lin, Hongyu Zhao (auth.)
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 333
Tags: Human Genetics; Statistics for Life Sciences, Medicine, Health Sciences; Bioinformatics; Computational Biology/Bioinformatics; Genetics and Population Dynamics; Statistical Theory and Methods
Front Matter....Pages 1-12
Population Genetics....Pages 1-23
Haplotype Structure....Pages 25-79
Linkage Analysis of Qualitative Traits....Pages 81-118
Linkage Analysis of Quantitative Traits....Pages 119-145
Markov Chain Monte Carlo Linkage Analysis Methods....Pages 147-169
Population-Based Association Studies....Pages 171-190
Family-Based Association Studies....Pages 191-240
Haplotype Association Analysis....Pages 241-276
Multiple Comparisons/Testing Issues....Pages 277-287
Estimating the Absolute Risk of Disease Associated with Identified Mutations....Pages 289-305
Processing Large-Scale, High-Dimension Genetic and Gene Expression Data....Pages 307-330
Back Matter....Pages 1-3
