Amazon cover image
Image from Amazon.com

Genetic epidemiology / editor M. Dawn Teare.

Contributor(s): Material type: TextTextSeries: Methods in molecular biology (Clifton, N.J.) ; v. 713. | Springer protocols (Series)Publication details: New York, NY : Humana Press, ©2011.Description: 1 online resource (xii, 242 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781603274166
  • 1603274162
Subject(s): Genre/Form: Additional physical formats: Print version:: Genetic epidemiology.DDC classification:
  • 616/.042 22
LOC classification:
  • RB155 .G46 2011
NLM classification:
  • W1
  • QZ 25
Online resources:
Contents:
Molecular Genetics and Genetic Variation / Mohammed-Elfatih Twfieg, M. Dawn Teare -- Terminology, Concepts, and Models in Genetic Epidemiology / M. Dawn Teare, Mauro F. Koref -- An Introduction to Epidemiology / Cother Hajat -- Genetic Distance and Markers Used in Linkage Mapping / Kristina Allen-Brady, Nicola J. Camp -- Approaches to Genetic Linkage Analysis / M. Dawn Teare -- Fine-Scale Structure of the Genome and Markers Used in Association Mapping / Karen Curtin, Nicola J. Camp -- Genome-Wide Association Studies / Mark M. Iles -- Candidate Gene Association Studies / M. Dawn Teare -- Family-Based Association Studies / Frank Dudbridge -- Genome Variation: A Review of Web Resources / Andrew Collins, William J. Tapper -- Advanced Methods in Twin Studies / Jaakko Kaprio, Karri Silventoinen -- Mendelian Randomisation: A Tool for Assessing Causality in Observational Epidemiology / Nuala A. Sheehan, Sha Meng, Vanessa Didelez -- Copy Number Variation / Louise V. Wain, Martin D. Tobin -- Epigenetic Variation / Kevin Walters -- Modeling the Effect of Susceptibility Factors (HLA and PTPN22) in Rheumatoid Arthritis / Hervé Perdry, Françoise Clerget-Darpoux -- Coronary Artery Disease: An Example Case Study / Jennifer H. Barrett -- The Genetic Epidemiology of Obesity: A Case Study / Laura M. Johnson.
Summary: 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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook Protocols Available
Total holds: 0

Includes bibliographical references and index.

Molecular Genetics and Genetic Variation / Mohammed-Elfatih Twfieg, M. Dawn Teare -- Terminology, Concepts, and Models in Genetic Epidemiology / M. Dawn Teare, Mauro F. Koref -- An Introduction to Epidemiology / Cother Hajat -- Genetic Distance and Markers Used in Linkage Mapping / Kristina Allen-Brady, Nicola J. Camp -- Approaches to Genetic Linkage Analysis / M. Dawn Teare -- Fine-Scale Structure of the Genome and Markers Used in Association Mapping / Karen Curtin, Nicola J. Camp -- Genome-Wide Association Studies / Mark M. Iles -- Candidate Gene Association Studies / M. Dawn Teare -- Family-Based Association Studies / Frank Dudbridge -- Genome Variation: A Review of Web Resources / Andrew Collins, William J. Tapper -- Advanced Methods in Twin Studies / Jaakko Kaprio, Karri Silventoinen -- Mendelian Randomisation: A Tool for Assessing Causality in Observational Epidemiology / Nuala A. Sheehan, Sha Meng, Vanessa Didelez -- Copy Number Variation / Louise V. Wain, Martin D. Tobin -- Epigenetic Variation / Kevin Walters -- Modeling the Effect of Susceptibility Factors (HLA and PTPN22) in Rheumatoid Arthritis / Hervé Perdry, Françoise Clerget-Darpoux -- Coronary Artery Disease: An Example Case Study / Jennifer H. Barrett -- The Genetic Epidemiology of Obesity: A Case Study / Laura M. Johnson.

Print version record.

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.

English.

Powered by Koha