The Fundamentals of Modern Statistical Genetics

The Fundamentals of Modern Statistical Genetics

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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 Mendela€™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.As we showed in Chapter 7, if there is low LD between the genotyped marker and the DSL, there will be low power to detect association between the disease and the DSL. In the early years of association testing, the strategy was mainly usedanbsp;...


Title:The Fundamentals of Modern Statistical Genetics
Author: Nan M. Laird, Christoph Lange
Publisher:Springer Science & Business Media - 2010-12-13
ISBN-13:

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