Mathematical and Statistical Methods for Genetic Analysis

By Kenneth Lange

Book Overview

This book will equip graduate students in the mathematical sciences to understand and model the epidemiological and experimental data encountered in genetics research. It will serve both as a graduate text and a reference book.

• Format: Hardcover
• Language: English
• ISBN: 0387953892
• ISBN13: 9780387953892
• Release Date: March 2002
• Publisher: Springer
• Length: 370 Pages
• Weight: 1.55 lbs.
• Dimensions: 0.9" x 5.8" x 10.0"

Customer Reviews

great book where few texts of a statistical nature exist

This second edition updates the first with the many advances in the rapidly growing field of genetics. It provides a nice treatment of the mathematical and stochastic models that are useful in genetic studies. It is a little disappointing that it does not go into the microarray technology that has become so important for experimentation in the last few years. Other recent books that cover statistical aspects of genetic research are Weir (1996) "Genetic Data Analysis II" Sinauer Associates (publisher) and Yang (2000) "Introduction to Statistical Methods in Modern Genetics" Gordon and Breach Science Publishers.

Read this book and you might learn something

This book is not for the novice dabbling in statistical genetics. This is a highly sophisticated, thought provoking book targeted to individuals with considerable mathematical ability and training. As such, this book is an invaluable tool for individuals hoping to make a real impact in the field of statistical genetics. I particularly enjoyed the chapter on Markov Chain Monte Carlo methods for pedigree data.

OK, but not for me

I'm interested in molecular genetics, this seems to be more about population genetics. There is some material, towards the back, about phylogeny. I can bash that a bit to make it match my needs, but it's still a bit of a stretch.It seems to be a pretty good presentation of population genetics, the kind of genetics taught in high schools in the 70s. I can't comment on this book's merits, but I can warn the biochem types to spend their money elsewhere.

Mathematical Details of Genetics

This book has an excellent coverage on the mathematical subtlies of genetics. The complicated theories are complimented by numerous examples. The exercise at the end of each chapter has a collection of probing questions that tests the understanding of the topics covered in the respective chapter. However, there is no discussion on association studies and quantitative traits which are two of the most active areas of genetic epidemiology. Moreover, the coverage on linkage is not adequate.