Title:
Genetic epidemiology : methods and applications
Author:
Austin, Melissa A., author.
ISBN:
9781780641812
Personal Author:
Physical Description:
xv, 199 pages ; 25 cm.
Series:
Modular texts
Modular texts.
Contents:
The evolving field of genetic epidemiology / Melissa A. Austin and Terri H. Beaty -- Assessing genetic influences on diseases and risk factors / Melissa A. Austin -- Genetic concepts and genomic technology for genetic epidemiology / Melissa A. Austin -- Family studies in genetic epidemiology : from linkage to exome sequencing / Melissa A. Austin, Terri H. Beaty, and Janet L. Stanford -- Genetic association studies / Melissa A. Austin, Bruce M. Psaty, and Stephen M. Schwartz -- Population stratification in genetic association studies / Barbara McKnight -- Gene-environment interactions and epistasis / Melissa A. Austin and Ruth Ottman -- Non-Mendelian genetics / Stephen M. Schwartz -- Software and data resources for genetic epidemiology studies / Timothy A. Thornton -- Ethical issues in genetic epidemiology / Stephanie M. Fullerton and Kelly Edwards -- Public health and clinical applications of genetic epidemiology / Marta Gwinn and W. David Dotson.
Abstract:
Genetic epidemiology plays a key role in discovering genetic factors influencing health and disease, and in understanding how genes and environmental risk factors interact. There is growing interest in this field within public health, with the goal of translating the results into promoting health and preventing disease in both families and populations. This textbook provides graduate students with a working knowledge of genetic epidemiology research methods. Following an overview of the field, the book reviews key genetic concepts, provides an update on relevant genomic technology, including genome-wide chips and DNA sequencing, and describes methods for assessing the magnitude of genetic influences on diseases and risk factors. The book focuses on research study designs for discovering disease susceptibility genes, including family-based linkage analysis, candidate gene and genome-side association studies, assessing gene-environment interactions and epistasis, studies of Non-Mendelian inheritance, and statistical analyses of data from these studies.
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