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Human Genome Epidemiology, 2nd Edition

Human Genome Epidemiology, 2nd Edition
Author: Muin Khoury
Publisher: Oxford University Press
Total Pages: 704
Release: 2010-01-20
Genre: Medical
ISBN: 9780199749348

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The first edition of Human Genome Epidemiology, published in 2004, discussed how the epidemiologic approach provides an important scientific foundation for studying the continuum from gene discovery to the development, applications and evaluation of human genome information in improving health and preventing disease. Since that time, advances in human genomics have continued to occur at a breathtaking pace. With contributions from leaders in the field from around the world, this new edition is a fully updated look at the ways in which genetic factors in common diseases are studied. Methodologic developments in collection, analysis and synthesis of data, as well as issues surrounding specific applications of human genomic information for medicine and public health are all discussed. In addition, the book focuses on practical applications of human genome variation in clinical practice and disease prevention. Students, clinicians, public health professionals and policy makers will find the book a useful tool for understanding the rapidly evolving methods of the discovery and use of genetic information in medicine and public health in the 21st century.


Human Genome Epidemiology, 2nd Edition

Human Genome Epidemiology, 2nd Edition
Author: Muin Khoury
Publisher: Oxford University Press
Total Pages: 701
Release: 2010-01-20
Genre: Medical
ISBN: 0195398440

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This text describes the role that epidemiologic methods play in the continuum from gene discovery to the development and application of genetic tests. It provides a foundation that should help researchers, policy makers and practitioners integrate genomics into medical and public health practice.


Human Genome Epidemiology

Human Genome Epidemiology
Author: Muin J. Khoury
Publisher: Oxford University Press
Total Pages: 571
Release: 2004
Genre: Medical
ISBN: 0195146743

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This book describes the important role that epidemiologic methods play in the continuum from gene discovery to the development and application of genetic tests. It proceeds systematically from the fundamentals of genome technology and gene discovery, to epidemiologic approaches to gene characterization in the population, to the evaluation of genetic tests and their use in health services.


Fundamentals of Genetic Epidemiology

Fundamentals of Genetic Epidemiology
Author: Muin J. Khoury
Publisher: Monographs in Epidemiology and
Total Pages: 394
Release: 1993
Genre: Medical
ISBN: 0195052889

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This text integrates the principles, methods and approaches of epidemiology and genetics in the study of disease aetiology. The authors define the central theme of genetic epidemiology as the study of the role of genetic factors and their interaction with environmental factors in the occurrence of disease in populations.


Biostatistics for Human Genetic Epidemiology

Biostatistics for Human Genetic Epidemiology
Author: Bertram K. C. Chan
Publisher: Springer
Total Pages: 355
Release: 2018-10-24
Genre: Medical
ISBN: 331993791X

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The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solve problems in quantitative Genetic Epidemiology Biostatistics for Human Genetic Epidemiology provides statistical methodologies and R recipes for human genetic epidemiologic problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related human genetic epidemiology, with R codes illustrations for various examples. This clear and concise book covers human genetic epidemiology, using R in data analysis, including multivariate data analysis. It examines probabilistic and statistical theories for modeling human genetic epidemiology – leading the readers through an effective epidemiologic model, from simple to advanced levels. Classical mathematical, probabilistic, and statistical theory are thoroughly discussed and presented. This book also presents R as a calculator and using R in data analysis. Additionally, it covers Advanced Human Genetic Data Concepts, the Study of Human Genetic Variation, Manhattan Plots, as well as the Procedures for Multiple Comparison. Numerous Worked Examples are provided for illustrations of concepts and real-life applications. Biostatistics for Human Genetic Epidemiology is an ideal reference for professionals and students in Medicine (particularly in Preventive Medicine and Public Health Medical Practices), as well as in Genetics, Epidemiology, and Biostatistics.


Genetic Epidemiology

Genetic Epidemiology
Author: Melissa A. Austin
Publisher: CABI
Total Pages: 223
Release: 2013
Genre: Medical
ISBN: 1780641818

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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. Specific applications of each research method are illustrated using a variety of diseases and risk factors relevant to public health, and useful web-based genetic analysis software, human reference panels, and repositories, that can greatly facilitate this work, are described.


Genetic Epidemiology

Genetic Epidemiology
Author: Evangelos Evangelou
Publisher: Humana Press
Total Pages: 299
Release: 2018-06-07
Genre: Medical
ISBN: 9781493978670

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This volume details fast-moving research while providing in-depth descriptions of methods and analytical approaches that are helping to understand the genome and how it is related to complex diseases. Chapters guide the reader through common and rare variation, gene-gene and gene-environment interactions and state-of-the-art approaches for the synthesis of genome-wide and gene expression data. Novel approaches for associations in the HLA region, family-based designs, Mendelian Randomization and Copy Number Variation are also presented. The volume concludes with the challenges researchers face while moving from identifying variants to their functional role and potential drug targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, a thorough presentation of methods and approaches and tips on troubleshooting and avoiding known pitfalls.


An Introduction to Genetic Epidemiology

An Introduction to Genetic Epidemiology
Author: Palmer, Lyle J.
Publisher: Policy Press
Total Pages: 240
Release: 2011-05-31
Genre: Medical
ISBN: 1861348975

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This book brings together leading experts to provide an introduction to genetic epidemiology that begins with a primer in human molecular genetics through all the standard methods in population genetics and genetic epidemiology required for an adequate grounding in the field.


Statistical Methods in Genetic Epidemiology

Statistical Methods in Genetic Epidemiology
Author: Duncan C. Thomas
Publisher: Oxford University Press
Total Pages: 458
Release: 2004-01-29
Genre: Medical
ISBN: 0199748055

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This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determining whether a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others. It strikes a good balance between epidemiologic study designs and statistical methods of data analysis.