Download The Fundamentals of Modern Statistical Genetics PDF

Rating: (1 reviews) Author: Nan M. Laird ISBN : 9781441973375 New from $56.43 Format: PDF

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This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.

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• Product Details
• Table of Contents
• Reviews

• Series: Statistics for Biology and Health
• Hardcover: 240 pages
• Publisher: Springer; 2011 edition (December 16, 2010)
• Language: English
• ISBN-10: 1441973370
• ISBN-13: 978-1441973375
• Product Dimensions: 0.9 x 6.3 x 9.2 inches
• Shipping Weight: 1 pounds (View shipping rates and policies)

Download The Fundamentals of Modern Statistical Genetics PDF

The book provides great fundamentals for genetic analysis. Although I have not completed the entire book I find that there are few worked out examples in the chapters making the exercises in the back of the chapters difficult to perform given the information in that or previous chapters. Would be great to have answers available (even for odd exercises) to facilitate self learning.

By kwysocki