Genetic Epidemiology

Arising from firm foundations laid by mathematical population genetics, clinical genetics, and statistical epidemiology, genetic epidemiology attempts to identify the many components of risk

attributable to genes, environments, and interactions, and the course of its research can follow many diverse paths. In Genetic Epidemiology , the success of genome-wide association studies in their identification of hundreds of disease susceptibility loci has inspired renowned experts to contribute thorough methodologies, which aim to bring together bioinformaticians, geneticists, clinicians, statisticians, and epidemiologists in the study of this vital field. The volume opens with chapters covering the basics; however, it quickly moves on to coverage of more specialist topics such as twin studies, Mendelian randomization, genetic association studies, more advanced areas, as well as case studies. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the detailed description of the application and analysis of the most commonly employed methods that are necessary for a firm grounding in the field.

Authoritative and cutting-edge, Genetic Epidemiology aims to provide a basic framework for crucial interdisciplinary communication and understanding suited to newcomers to the field as well as experienced researchers and graduate level students.

Aids researchers from various disciplines in communication and understanding with each other Describes the fundamentals underlying the rapidly changing field Provides advice from experts from a multitude of fields Includes supplementary material: sn.pub/extras

Inhalt

Molecular Genetics and Genetic Variation.- Terminology, Concepts, and Models in Genetic Epidemiology.- An Introduction to Epidemiology.- Genetic Distance and Markers Used in Linkage Mapping.- Approaches to Genetic Linkage Analysis.- Fine-Scale Structure of the Genome and Markers Used in Association Mapping.- Genome-Wide Association Studies.- Candidate Gene Association Studies.- Family-Based Association Studies.- Genome Variation: A Review of Web Resources.- Advanced Methods in Twin Studies.- Mendelian Randomization: A Tool for Assessing Causality in Observational Epidemiology.- Copy Number Variation.- Epigenetic Variation.- Modeling the Effect of Susceptibility Factors (HLA and PTPN22) in Rheumatoid Arthritis.- Coronary Artery Disease: An Example Case Study.- The Genetic Epidemiology of Obesity: A Case Study.