Statistical Methods In Genetic Epidemiology

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Statistical Methods in Genetic Epidemiology

Author : Duncan C. Thomas
Publisher : Oxford University Press
Page : 458 pages
File Size : 49,7 Mb
Release : 2004-01-29
Category : Medical
ISBN : 9780195159394

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Statistical Methods in Genetic Epidemiology by Duncan C. Thomas Pdf

This balanced and well-integrated text gives a lucid overview of the entire process of genetic epidemiology, from familial aggregation through segregation, likage, and association studies. It is illustrated throughout with examples from the literature on cancer genetics. Statistical concepts are developed in depth, but with a focus on applications. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics are included. Oriented to graduate students in biostatistics, epidemiology, and human genetics, the book will also be a useful reference for researchers. It gives equal emphasis to study designs and data analysis.

Statistical Methods in Genetic Epidemiology

Author : Duncan C. Thomas
Publisher : Oxford University Press
Page : 458 pages
File Size : 40,8 Mb
Release : 2004-01-29
Category : Medical
ISBN : 9780199748051

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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.

A Statistical Approach to Genetic Epidemiology

Author : Andreas Ziegler,Inke R. Kônig,Friedrich Pahlke
Publisher : John Wiley & Sons
Page : 522 pages
File Size : 44,6 Mb
Release : 2011-08-24
Category : Science
ISBN : 9783527633661

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A Statistical Approach to Genetic Epidemiology by Andreas Ziegler,Inke R. Kônig,Friedrich Pahlke Pdf

A Statistical Approach to Genetic Epidemiology After studying statistics and mathematics at the University of Munich and obtaining his doctoral degree from the University of Dortmund, Andreas Ziegler received the Johann-Peter-Süssmilch-Medal of the German Association for Medical Informatics, Biometry and Epidemiology for his post-doctoral work on “Model Free Linkage Analysis of Quantitative Traits” in 1999. In 2004, he was one of the recipients of the Fritz-Linder-Forum-Award from the German Association for Surgery.

The Fundamentals of Modern Statistical Genetics

Author : Nan M. Laird,Christoph Lange
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 40,5 Mb
Release : 2010-12-13
Category : Medical
ISBN : 9781441973382

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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.

Basic Biostatistics for Geneticists and Epidemiologists

Author : Robert C. Elston,William Johnson
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 40,7 Mb
Release : 2008-11-20
Category : Medical
ISBN : 9780470024911

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Basic Biostatistics for Geneticists and Epidemiologists by Robert C. Elston,William Johnson Pdf

Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book: Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares. Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research. Is illustrated throughout with simple examples to clarify the statistical methodology. Explains Bayes’ theorem pictorially. Features exercises, with answers to alternate questions, enabling use as a course text. Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.

An Introduction to Genetic Epidemiology

Author : Palmer, Lyle J.,Burton, Paul R.,George Davey Smith
Publisher : Policy Press
Page : 240 pages
File Size : 40,6 Mb
Release : 2011-05-31
Category : Medical
ISBN : 9781861348975

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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.

Biostatistics for Human Genetic Epidemiology

Author : Bertram K. C. Chan
Publisher : Springer
Page : 355 pages
File Size : 43,9 Mb
Release : 2018-10-24
Category : Medical
ISBN : 9783319937915

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Biostatistics for Human Genetic Epidemiology by Bertram K. C. Chan Pdf

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.

Mathematical and Statistical Methods for Genetic Analysis

Author : Kenneth Lange
Publisher : Springer Science & Business Media
Page : 277 pages
File Size : 40,9 Mb
Release : 2013-04-17
Category : Mathematics
ISBN : 9781475727395

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Mathematical and Statistical Methods for Genetic Analysis by Kenneth Lange Pdf

Geneticists now stand on the threshold of sequencing the genome in its entirety. The unprecedented insights into human disease and evolution offered by mapping and sequencing are transforming medicine and agriculture. This revolution depends vitally on the contributions made by applied mathematicians, statisticians, and computer scientists. Kenneth Lange has written a book to enable graduate students in the mathematical sciences to understand and model the epidemiological and experimental data encountered in genetics research. Mathematical, statistical, and computational principles relevant to this task are developed hand-in-hand with applications to gene mapping, risk prediction, and the testing of epidemiological hypotheses. The book covers many topics previously only accessible in journal articles, such as pedigree analysis algorithms, Markov chain, Monte Carlo methods, reconstruction of evolutionary trees, radiation hybrid mapping, and models of recombination. The whole is backed by numerous exercise sets.

A Statistical Approach to Genetic Epidemiology

Author : Andreas Ziegler,Inke R. König
Publisher : Wiley-Blackwell
Page : 0 pages
File Size : 46,8 Mb
Release : 2006-03-31
Category : Science
ISBN : 3527312528

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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.

Fundamentals of Genetic Epidemiology

Author : Muin J. Khoury,Terri H. Beaty,Bernice H. Cohen
Publisher : Monographs in Epidemiology and
Page : 394 pages
File Size : 50,6 Mb
Release : 1993
Category : Medical
ISBN : 9780195052886

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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 Statistical Genetic Data Analysis

Author : Melinda C. Mills,Nicola Barban,Felix C. Tropf
Publisher : MIT Press
Page : 433 pages
File Size : 43,9 Mb
Release : 2020-02-18
Category : Science
ISBN : 9780262357449

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An Introduction to Statistical Genetic Data Analysis by Melinda C. Mills,Nicola Barban,Felix C. Tropf Pdf

A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website.

Handbook of Statistical Genetics

Author : David J. Balding,Martin Bishop,Chris Cannings
Publisher : John Wiley & Sons
Page : 1616 pages
File Size : 51,6 Mb
Release : 2008-06-10
Category : Science
ISBN : 0470997621

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Handbook of Statistical Genetics by David J. Balding,Martin Bishop,Chris Cannings Pdf

The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research. Edited by the leading international authorities in the field. David Balding - Department of Epidemiology & Public Health, Imperial College An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals. Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics. Chris Cannings – Division of Genomic Medicine, University of Sheffield With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.

Statistical Methods in Environmental Epidemiology

Author : Duncan C. Thomas
Publisher : Oxford University Press, USA
Page : 450 pages
File Size : 40,5 Mb
Release : 2009
Category : Medical
ISBN : 9780191552687

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Statistical Methods in Environmental Epidemiology by Duncan C. Thomas Pdf

A systematic treatment of the statistical challenges that arise in environmental health studies and the use epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers.

Biostatistical Genetics and Genetic Epidemiology

Author : Robert C. Elston,Jane M. Olson,Lyle Palmer
Publisher : John Wiley & Sons
Page : 860 pages
File Size : 55,5 Mb
Release : 2002-04-22
Category : Medical
ISBN : 0471486310

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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.

Analysis of Genetic Association Studies

Author : Gang Zheng,Yaning Yang,Xiaofeng Zhu,Robert C. Elston
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 49,7 Mb
Release : 2012-01-11
Category : Medical
ISBN : 9781461422457

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Analysis of Genetic Association Studies by Gang Zheng,Yaning Yang,Xiaofeng Zhu,Robert C. Elston Pdf

Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, and professionals will find the topics introduced in Analysis of Genetic Association Studies particularly relevant. The book is applicable to the study of statistics, biostatistics, genetics and genetic epidemiology. In addition to providing derivations, the book uses real examples and simulations to illustrate step-by-step applications. Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary background knowledge. The organization of this work allows for both casual reference and close study.