vbid/9781441973382

Description

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.Typham this is the title: The Fundamentals of Modern Statistical Genetics