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Author: Melinda C. Mills
Publisher: MIT Press
ISBN: 0262357445
Category : Science
Languages : en
Pages : 433
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Book Description
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.
Author: Melinda C. Mills
Publisher: MIT Press
ISBN: 0262357445
Category : Science
Languages : en
Pages : 433
Get Book Here
Book Description
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.
Author: Kenneth Lange
Publisher: Springer Science & Business Media
ISBN: 0387217509
Category : Medical
Languages : en
Pages : 376
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Book Description
Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data encountered in genetics research. This second edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.
Author: Philip Mark Meneely
Publisher: Oxford University Press
ISBN: 0199681260
Category : Medical
Languages : en
Pages : 580
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Book Description
With its unique integration of genetics and molecular biology, this text probes fascinating questions that explore how our understanding of key genetic phenomena can be used to understand biological systems. Opening with a brief overview of key genetic principles, model organisms, and epigenetics, the book goes on to explore the use of gene mutations, the analysis of gene expression and activity, a discussion of the genetic structure of natural populations, and more.
Author: Fikret Isik
Publisher: Springer
ISBN: 3319551779
Category : Science
Languages : en
Pages : 409
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Book Description
This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.
Author: R. Scott Hawley
Publisher: John Wiley & Sons
ISBN: 1444313088
Category : Science
Languages : en
Pages : 256
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Book Description
Advanced Genetic Analysis brings a state-of-the-art,exciting new approach to genetic analysis. Focusing on theunderlying principles of modern genetic analysis, this bookprovides the 'how' and 'why' of the essential analytical toolsneeded. The author's vibrant, accessible style provides an easyguide to difficult genetic concepts, from mutation and genefunction to gene mapping and chromosome segregation. Throughout, abalanced range of model organisms and timely examples are used toillustrate the theoretical basics. Basic principles - Focuses students attention on the 'how' and'why' of the essential analytical tools. Vibrant, accessible style provides an easy guide throughdifficult genetic concepts and techniques. Text boxes highlight key questions and timely examples. Boxes of key information in each chapter, chapter summaries andextensive references - prompt the student to synthesise andreinforce the chapter material. Special reference section addressing a range of model organismsto help provide a particularly relevant context for students'research interests.
Author: Jurg Ott
Publisher: JHU Press
ISBN: 9780801861406
Category : Medical
Languages : en
Pages : 418
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Book Description
Introduction and basic genetic principles; Genetic loci genetic polymorphisms; Aspects of statistical inference; Basics of linkage analysis; The informativeness of family data; Multipoint linkage analysis; Penetrance; Quantitative phenotypes; Numerical and computerized methods; Variability of the recombination fraction; Inconsistencies; Linkage analysis with mendelian disease loci; Nonparametric methods; Two-locus inheritance; Complex traits.
Author: James N. Thompson, Jr
Publisher: Cambridge University Press
ISBN: 9780521603652
Category : Science
Languages : en
Pages : 326
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Book Description
This third edition of a student-tested primer provides guided instruction in the analysis and interpretation of genetic principles and problem solving. All core areas of genetics are covered. Each section is introduced with a summary of key concepts and terms. A series of problems, graded from simple to more complex, then allows students to test their understanding of the material. Each question is accompanied by a detailed explanation. This new edition includes additional problems, extensively expanded coverage of molecular biology throughout, new overview chapters, and an expanded glossary.
Author: Corinne A. Michels
Publisher: John Wiley & Sons
ISBN: 9780471899198
Category : Science
Languages : de
Pages : 264
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Book Description
Molecular Genetic Analysis is an advanced textbook to teach the theory and practice of molecular genetic analysis to senior undergraduates and graduates studying genetics, molecular biology and cell biology. This book uses a case study approach, with the yeast Saccharomyces as the model genetic organism, to explain the theory and practice of molecular genetic analysis. It provides enough information so readers will be able to apply the approach to their own research project.
Author: Mark F. Sanders
Publisher: Pearson Educacion
ISBN: 9780321818461
Category : Genetics
Languages : en
Pages : 864
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Book Description
Informed by many years of genetics teaching and research experience, authors Mark Sanders and John Bowman use an integrative approach that helps contextualize three core challenges of learning genetics: solving problems, understanding evolution, and understanding the connection between traditional genetics models and more modern approaches. This package contains: Genetic Analysis: An Integrated Approach
Author: Yong-Kyu Kim
Publisher: Springer Science & Business Media
ISBN: 0387767274
Category : Medical
Languages : en
Pages : 557
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Book Description
This handbook provides research guidelines to study roles of the genes and other factors involved in a variety of complex behaviors. Utilizing methodologies and theories commonly used in behavior genetics, each chapter features an overview of the selected topic, current issues, as well as current and future research.
