Overview
- Provides cutting edge coverage of current gene mapping approaches grounded in a traditional statistical genetics framework, with emphasis on association studies Provides exercises and solutions to reinforce basic concepts for students at all levels Rigorous coverage of key methods
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Biology and Health (SBH)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Reviews
From the reviews:
“The book covers the historical perspective, covering the standard models and methods. … The presentation of the material is carefully thought through. There are lots of figures, many in colour, a large number of examples, numerous boxes that highlight particular derivations and computations, and exercises at the ends of the chapters. All topics are clearly discussed with due detail. I would say that, for the budding statistical geneticist, this is a must-have.” (Martin Crowder, International Statistical Review, Vol. 79 (3), 2011)
“A book that focuses on statistical methods for finding links between genes and diseases … is timely. … the authors steer us gently and diligently through material that was developed originally for postgraduate students at the Harvard School of Public Health … . ideal for a statistician intending to research in this area or simply for a curious, sufficiently qualified reader. … a lovely book, and essential reading if you are a budding GWASer, or simply interested in where your next disease will come from.” (G. Wood, Australian & New Zealand Journal of Statistics, Vol. 53 (4), 2011)
“The Fundamentals of Modern Statistical Genetics, by Dr. Nan M. Laird and Dr. Christoph Lange, is a timely reference for both researchers and students. … the book is clearly written, and it is useful for colleagues who are interested in the association analysis. Although the book primarily covers the interesting topic of association analysis, it does touch other interesting topics such as joint linkage and association mapping of complex traits.” (Ruzong Fan, Journal of the American Statistical Association, March, 2013)
Authors and Affiliations
About the authors
Dr. Lange is an Associate Professor in the Biostatistics Department at the Harvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistical genetics. Dr. Lange has been the director of the Institute of Genome Mathematics at the University of Bonn and has received several awards in mathematics and genetics. Dr. Lange is the developer of the PBAT package.
Bibliographic Information
Book Title: The Fundamentals of Modern Statistical Genetics
Authors: Nan M. Laird, Christoph Lange
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-1-4419-7338-2
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2011
Hardcover ISBN: 978-1-4419-7337-5Published: 02 December 2010
Softcover ISBN: 978-1-4614-2775-9Published: 28 January 2013
eBook ISBN: 978-1-4419-7338-2Published: 13 December 2010
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 1
Number of Pages: XIV, 226
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Human Genetics, Biometrics, Biostatistics, Epidemiology