A Primer of Statistical Genetics

A Primer of Statistical Genetics

The book highlights study design issues and an understanding of genetic data.

Author: Rudy Guerra

Publisher: Chapman & Hall/CRC

ISBN: 1584885165

Category: Mathematics

Page: 256

View: 232

The problems of genetics require statistical analysis. However, it is not enough to know how to conduct a statistical analysis to do a good job of solving genetic problems. A Primer of Statistical Genetics introduces statistical genetics with an emphasis on the basic concepts and principles unique to the genetics context. To bridge the novice to the more advanced books, the author also emphasizes the nature of the problems through real case studies, but not at the cost of statistical rigor, so readers will develop better comprehension and appreciation for how real problems are solved. The book highlights study design issues and an understanding of genetic data.
Categories: Mathematics

An Introduction to Statistical Genetic Data Analysis

An Introduction to Statistical Genetic Data Analysis

Part I provides the foundations including (1) fundamental concepts and the human genome, (2) a statistical primer, (3) a primer in human evolution, (4) genome-wide association studies (GWASs), (5) polygenic scores and genetic ...

Author: Melinda C. Mills

Publisher: MIT Press

ISBN: 9780262357449

Category: Science

Page: 432

View: 133

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.
Categories: Science

Statistical Genomics

Statistical Genomics

Genetics 138:1293–1300. Guo, S.W. and E.A. Thompson. 1991. Monte Carlo estimation of variance component models for large complex pedigrees. IMA Journal of Mathematics Applied in Medicine & Biology. ... A Primer of Population Genetics.

Author: Ben Hui Liu

Publisher: CRC Press

ISBN: 9781351414524

Category: Mathematics

Page: 648

View: 961

Genomics, the mapping of the entire genetic complement of an organism, is the new frontier in biology. This handbook on the statistical issues of genomics covers current methods and the tried-and-true classical approaches.
Categories: Mathematics

Statistical Genetics

Statistical Genetics

Schafer, J.L. (1999) Multiple imputation: a primer. Stat. Methods Med. Bes. 8: 3-15. ... 117: an analysis of alcohol dehydrogenase 343-351. Templeton, A.R., Weiss, K.M., Nickerson, D.A., Boerwinkle, E. and Sing, 448 Statistical Genetics.

Author: Benjamin Neale

Publisher: Garland Science

ISBN: 9781134129331

Category: Science

Page: 608

View: 504

Statistical Genetics is an advanced textbook focusing on conducting genome-wide linkage and association analysis in order to identify the genes responsible for complex behaviors and diseases. Starting with an introductory section on statistics and quantitative genetics, it covers both established and new methodologies, providing the genetic and statistical theory on which they are based. Each chapter is written by leading researchers, who give the reader the benefit of their experience with worked examples, study design, and sources of error. The text can be used in conjunction with an associated website (www.genemapping.org) that provides supplementary material and links to downloadable software.
Categories: Science

Cardiovascular Genetics and Genomics

Cardiovascular Genetics and Genomics

Detecting main effects Single locus association tests are a powerful workhorse in statistical genetics. Family-based association methods include the transmission disequilibrium tests (TDT) and all its variations (such as the sib-TDT, ...

Author: Dan M. Roden

Publisher: John Wiley & Sons

ISBN: 1444311778

Category: Medical

Page: 288

View: 621

This comprehensive and concise presentation of genetic factors in cardiovascular disease and their response to therapy consolidates knowledge of this high-interest and emerging topic. Covering broad areas of contemporary genomic medicine and specific cardiovascular diseases, this book is a must for anyone seeking to better understand this rapidly developing field.
Categories: Medical

Genetics Primer for Exercise Science and Health

Genetics Primer for Exercise Science and Health

As this is an introductory text , and certainly not a textbook in statistical genetics , my goal here is to present the primary statistical approaches used in typical genetic association analyses , and even then not to discuss them in ...

Author: Stephen M. Roth

Publisher: Human Kinetics

ISBN: 0736063439

Category: Science

Page: 177

View: 744

The text maintains a practical focus while providing updates on current research findings and exploring how genetics may affect clinical practice and sport performance training.
Categories: Science

Handbook of Statistical Genetics

Handbook of Statistical Genetics

Nature 418, 387–391. Gibson, G. and Muse, S.V. (2004). A primer in genome science, 2nd edition. Sinauer, Sunderland, MA. Gilbert, W. (1987). The exon theory of genes. Cold Spring Harbor Symposia on Quantitative Biology 52, 901–905.

Author: David J. Balding

Publisher: John Wiley & Sons

ISBN: 0470997621

Category: Science

Page: 1616

View: 411

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.
Categories: Science

A Primer of Population Genetics and Genomics

A Primer of Population Genetics and Genomics

This accessible primer has been completely revised and updated to provide a concise but comprehensive introduction to the basic concepts of population genetics and genomics.

Author: Daniel L. Hartl

Publisher: Oxford University Press, USA

ISBN: 9780198862291

Category: Science

Page: 320

View: 404

This accessible primer has been completely revised and updated to provide a concise but comprehensive introduction to the basic concepts of population genetics and genomics.
Categories: Science

Psychiatric Genetics

Psychiatric Genetics

A straightforward introduction to the essentials of psychiatric genetics, covering basic epidemiology, recruitment for human studies, phenotyping strategies, formal genetic and molecular genetic studies, statistical genetics, bioinformatics ...

Author: Thomas G. Schulze

Publisher:

ISBN: 0190221984

Category: Affective disorders

Page:

View: 995

A straightforward introduction to the essentials of psychiatric genetics, covering basic epidemiology, recruitment for human studies, phenotyping strategies, formal genetic and molecular genetic studies, statistical genetics, bioinformatics and genomics, pharmacogenetics, the most relevant animal models, and biobanking. Each chapter begins with a list of 'take home' points that summarises content, followed by a brief overview of current knowledge and suggestions for further reading.
Categories: Affective disorders

Gene Genealogies Variation and Evolution A primer in coalescent theory

Gene Genealogies  Variation and Evolution  A primer in coalescent theory

Hudson , R. R. ( 2001a ) , Linkage disequilibrium and recombination , in D. J. Balding , M. Bishop , and C. Cannings , eds . , ' Handbook of Statistical Genetics ' , John Wiley and Sons , pp . 309–324 .

Author: Jotun Hein

Publisher: Oxford University Press, USA

ISBN: 0191546151

Category:

Page: 296

View: 763

Authored by leading experts, this seminal text presents a straightforward and elementary account of coalescent theory, which is a central concept in the study of genetic sequence variation observed in a population. Rich in examples and illustrations it is ideal for a graduate course in statistics, population, molecular and medical genetics, bioscience and medicine, and for students studying the evolution of human population and disease. It is also an invaluable reference for bioscientists and statisticians in the pharmaceutical industry and academia - ;Coalescent theory is a central concept in the study of genetic sequence variation that probabilistically describes the genealogy relating the sampled sequences. In this text, besides fulfilling the glaring need for such a book, the authors present this theory in a straightforward and elementary manner and describe the statistical and computational methods used in modelling and analyzing genetic sequence variation. Rich in examples and illustrations the book covers basic concepts, complications arising from geographical structure and recombination before considering aspects of statistical inference based on these models. The book ends with chapters on Gene Mapping, which combines sequence variation data with phenotypic data (such as disease) to define areas of the genome where genes are responsible for the trait, and Human Evolution, a research area that is experiencing a renaissance due to the enormous amounts of data produced in molecular studies. Authored by leading experts, this seminal text presents a straightforward and elementary account of coalescent theory, which is a central concept in the study of genetic sequence variation observed in a population. It is highly suitable for a graduate course in statistics, population, molecular and medical genetics, bioscience and medicine and students studying the evolution of human population and disease, and will be an invaluable reference for bioscientists and statisticians in the pharmaceutical industry and academia - ;an excellent and timely book that should appeal to a variety of people in genetics and applied mathematics. - Professor Montgomery Slatkin (Berkeley);the authors are outstanding experts in the field, and the book is topical and timely. - Professor David Balding (Imperial College);Hein, Schierup and Wiuf have written the first general book on the coalescent. It is an engaging combination of clear mathematical derivation and real data examples. - Professor Joe Felsenstein (University of Washington)
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