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Author : Muin J. Khoury,Terri H. Beaty,Bernice H. Cohen Publisher : Monographs in Epidemiology and Page : 394 pages File Size : 46,7 Mb Release : 1993 Category : Medical ISBN : 9780195052886
Fundamentals of Genetic Epidemiology by Muin J. Khoury,Terri H. Beaty,Bernice H. Cohen Pdf
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.
An Introduction to Genetic Epidemiology by Palmer, Lyle J.,Burton, Paul R.,George Davey Smith Pdf
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.
Author : Nan M. Laird,Christoph Lange Publisher : Springer Science & Business Media Page : 226 pages File Size : 52,7 Mb Release : 2010-12-13 Category : Medical ISBN : 9781441973382
The Fundamentals of Modern Statistical Genetics by Nan M. Laird,Christoph Lange Pdf
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.
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 BiologyTM 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.
Statistical Methods in Genetic Epidemiology by Duncan C. Thomas Pdf
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.
Genetic epidemiology is the study of the role of genes and environments on markers of health and disease risk in populations. It emerged as a mainstream discipline in the early 1980s, arising from firm foundations laid by mathematical population genetics, clinical genetics, and statistical epidemiology. Though genetic epidemiology attempts to identify the many components of risk attributable to genes, environments, and interactions between these two factors, the course of the research towards this goal can follow many diverse paths. In the last few years, the success of genome-wide association studies in their identification of hundreds of disease susceptibility loci has brought this specialist field to the forefront of biomedical research. Advances in molecular genetics will soon offer affordable means to measure or observe study participant's genetic material at the sequence level as well as more detailed functional data, such as gene expression.
Human Genome Epidemiology, 2nd Edition by Muin Khoury,Sara Bedrosian,Marta Gwinn,Julian Higgins,John Ioannidis Pdf
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.
Genetic Epidemiology by Melissa A. Austin,Terri H. Beaty,W. David Dotson Pdf
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.
A Statistical Approach to Genetic Epidemiology by Andreas Ziegler,Inke R. König Pdf
After providing a concise introduction to genetic fundamentals, the authors explain both linkage analysis and association analysis in detail. The textbook features more than 100 problems and solutions.
Human Genome Epidemiology by Muin J. Khoury,Julian Little,Wylie Burke Pdf
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.
Human Genome Epidemiology, 2nd Edition by Muin Khoury,Sara Bedrosian,Marta Gwinn,Julian Higgins,John Ioannidis,Julian Little Pdf
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.
Author : Robert C. Elston,Jane M. Olson,Lyle Palmer Publisher : John Wiley & Sons Page : 860 pages File Size : 53,8 Mb Release : 2002-04-22 Category : Medical ISBN : 0471486310
Biostatistical Genetics and Genetic Epidemiology by Robert C. Elston,Jane M. Olson,Lyle Palmer Pdf
"Human Genetics and Genetic Epidemiology" ist der 3. Band aus der sehr erfolgreichen Reihe 'Wiley Biostatistics Reference Series', die auf Artikeln der "Encyclopedia of Biostatistics" basiert. Dieser Band gibt einen topaktuellen und umfassenden Überblick über ein Forschungsgebiet, das insbesondere im Zuge des Human-Genomprojekts eine regelrechte Explosion an Forschungsaktivitäten erlebt hat. Enthalten sind komplett aktualisierte Artikel aus der "Encyclopedia of Biostatistics" sowie über 25% neue Artikel. Mit einem komplexen System an Querverweisen, die das Auffinden der gewünschten Information erheblich erleichtern. Eine interessante Lektüre für Genetiker, Epidemiologen, Biostatistiker und Forscher in diesen Bereichen.
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.
