Product Description

The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance.
As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research.

Edited by the leading international authorities in the field.

David Balding - Department of Epidemiology & Public Health, Imperial College
An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals.

Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre
As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics.

Chris Cannings – Division of Genomic Medicine, University of Sheffield
With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.

Product Details

• Amazon Sales Rank: #1008889 in Books
• Published on: 2007-10-22
• Original language: English
• Number of items: 2
• Binding: Hardcover
• 1616 pages

Review
"A treasure house of information on genetics and statistical methods.... All approaches are fully described and evaluated, which make this handbook a work of scholarship and a valuable resource." (Journal of Tropical Pediatrics, February 2009)

"A treasure house of information on genetics and statistical methods … .All approaches are fully described and evaluated, which make this handbook a work of scholarship and a valuable resource." (Journal of Tropical Pediatrics, February 2009)

"This handbook may be highly recommended as a reference book and as a comprehensive opportunity to get a broader overview of new research areas in the field of statistical genetics.  It will be useful source especially for research groups in this area." (Biometrics, September 2008)

"This highly recommended set is critical investment for academic and special libraries, given rapid developments in statistical genetics." (American Reference Books Annual, March 2008)

From the Back Cover
A truly groundbreaking volume, the Handbook of Statistical Genetics is a timely, informative and highly accessible reference for both statisticians interested in genetical applications, and geneticists seeking a deeper understanding of statistical methods in their field. It is divided into six main sections, encompassing the entire field of statistics in genetics.

As the Human Genome Project (HGP) reaches its climax, with the complete sequence of mankind, science is fast approaching an exciting new stage in its ability to understand genetic forces in man.

In parallel to the HGP are major sequencing efforts in other organisms, enabling us to understand broader questions in evolution and classification. This explosion of data has led to an increased need for sophisticated statistical, mathematical and computational tools to enable complex data collection, analysis and interpretation of the results.

• Comprehensive coverage of the most pressing statistical issues in genetics.
• Offers a lucid introduction to newcomers, as well as providing invaluable information for more experienced reasearchers.
• Each chapter is written by a leading international authority from the field.
• Complemented by numerous examples, case studies, and references to useful resources on the web.

About the Author
D. J. Balding

Imperial College of Science, Technology and Medicine, London, UK

M. Bishop

CNR-ITB, Milan, Italy

C. Cannings

University of Sheffield, UK

Customer Reviews

Good overview of topics on quantitative aspects of genetics
The book is a collection of chapters written by experts in their respective fields. It contains both basic topics of genetics like chromosome maps and protein analysis as well as recent developments in evolutionary genetics like coalescence and phylogenetics. The topics on genetic epidemiology like linkage and association cover the main ideas, but the mathematical subtlities are not adequately explained in some of the cases. Since the target audience of this book are statistical geneticists, it would have been more beneficial if more quantitative insights were given. The chapters by Bruce Weir, Nicholas Schork and Ranajit Chakraborty provide some interesting practical applications of statistical genetics. With lots of controversies going around, it is apt to include the chapter on the ethical issues regarding the use of statistics in genetics.