Statistics In Genetics

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An Introduction to Statistical Genetic Data Analysis

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

Author : Melinda C. Mills,Nicola Barban,Felix C. Tropf
Publisher : MIT Press
Page : 433 pages
File Size : 51,9 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.

The Fundamentals of Modern Statistical Genetics

Nan M. Laird,Christoph Lange
The Fundamentals of Modern Statistical Genetics Book PDF

Author : Nan M. Laird,Christoph Lange
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 54,9 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.

Handbook of Statistical Genetics

David J. Balding,Martin Bishop,Chris Cannings
Handbook of Statistical Genetics Book PDF

Author : David J. Balding,Martin Bishop,Chris Cannings
Publisher : John Wiley & Sons
Page : 1616 pages
File Size : 46,8 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 Genetics of Quantitative Traits

Rongling Wu,Changxing Ma,George Casella
Statistical Genetics of Quantitative Traits Book PDF

Author : Rongling Wu,Changxing Ma,George Casella
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 50,5 Mb
Release : 2007-07-17
Category : Science
ISBN : 9780387681542

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Statistical Genetics of Quantitative Traits by Rongling Wu,Changxing Ma,George Casella Pdf

This book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping, and assumes a background in regression analysis and maximum likelihood approaches. The strength of this book lies in the construction of general models and algorithms for linkage analysis, as well as in QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops.

Statistics in Human Genetics and Molecular Biology

Cavan Reilly
Statistics in Human Genetics and Molecular Biology Book PDF

Author : Cavan Reilly
Publisher : CRC Press
Page : 284 pages
File Size : 51,5 Mb
Release : 2009-06-19
Category : Mathematics
ISBN : 9781420072648

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Statistics in Human Genetics and Molecular Biology by Cavan Reilly Pdf

Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments.

Handbook of Statistical Genomics

David J. Balding,Ida Moltke,John Marioni
Handbook of Statistical Genomics Book PDF

Author : David J. Balding,Ida Moltke,John Marioni
Publisher : John Wiley & Sons
Page : 1828 pages
File Size : 45,8 Mb
Release : 2019-07-09
Category : Science
ISBN : 9781119429258

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Handbook of Statistical Genomics by David J. Balding,Ida Moltke,John Marioni Pdf

A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.

Applied Statistical Genetics with R

Andrea S. Foulkes
Applied Statistical Genetics with R Book PDF

Author : Andrea S. Foulkes
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 43,6 Mb
Release : 2009-04-28
Category : Science
ISBN : 9780387895543

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Applied Statistical Genetics with R by Andrea S. Foulkes Pdf

Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R.

Statistical Methods in Genetic Epidemiology

Duncan C. Thomas
Statistical Methods in Genetic Epidemiology Book PDF

Author : Duncan C. Thomas
Publisher : Oxford University Press
Page : 458 pages
File Size : 53,8 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.

Mathematical and Statistical Methods for Genetic Analysis

Kenneth Lange
Mathematical and Statistical Methods for Genetic Analysis Book PDF

Author : Kenneth Lange
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 45,7 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9780387217505

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Mathematical and Statistical Methods for Genetic Analysis by Kenneth Lange Pdf

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.

Statistical Genetics

Benjamin Neale,Manuel Ferreira,Sarah Medland,Danielle Posthuma
Statistical Genetics Book PDF

Author : Benjamin Neale,Manuel Ferreira,Sarah Medland,Danielle Posthuma
Publisher : Garland Science
Page : 608 pages
File Size : 52,6 Mb
Release : 2007-11-30
Category : Science
ISBN : 9781134129331

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Statistical Genetics by Benjamin Neale,Manuel Ferreira,Sarah Medland,Danielle Posthuma Pdf

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.

Statistics in Human Genetics

Pak Sham
Statistics in Human Genetics Book PDF

Author : Pak Sham
Publisher : Wiley
Page : 0 pages
File Size : 42,8 Mb
Release : 1997-12-08
Category : Science
ISBN : 0470689285

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Statistics in Human Genetics by Pak Sham Pdf

Rigorous statistical analysis methods for human genetics application Statistics in Human Genetics explores the statistical analysis methods that are critical to good science. Beginning with a brief review of genes, gene structure, variation, and terminology, the book moves into analysis of segregation, genetic linkage, allelic associations, and continuity for a wide range of conditions. From the classic Hardy-Weinberg equation to advanced modeling, algorithms and more, this book provides authoritative guidance toward methods, analysis, and applications for anyone performing quantitative analysis of human genetics.

Statistical Human Genetics

Robert C. Elston,Jaya M. Satagopan,Shuying Sun
Statistical Human Genetics Book PDF

Author : Robert C. Elston,Jaya M. Satagopan,Shuying Sun
Publisher : Humana Press
Page : 564 pages
File Size : 54,5 Mb
Release : 2012-02-04
Category : Science
ISBN : 1617795542

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Statistical Human Genetics by Robert C. Elston,Jaya M. Satagopan,Shuying Sun Pdf

Recent advances in genetics over the last quarter of a century, especially in molecular techniques, have dramatically reduced the cost of determining genetic markers and hence opened up a field of research that is increasingly helping to detect, prevent and/or cure many diseases that afflict humans. In Statistical Human Genetics: Methods and Protocols expert researchers in the field describe statistical methods and computer programs in the detail necessary to make them more easily accessible to the beginner analyzing data. Written in the highly successful Methods in Molecular BiologyTM series format, with examples of running the programs and interpreting the program outputs, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results from human genetic data collected in the laboratory. Thorough and as much as possible intuitive, Statistical Human Genetics: Methods and Protocols aids scientists in understanding the computer programs and analytical procedures they need to use.

Heterogeneity in Statistical Genetics

Derek Gordon,Stephen J. Finch,Wonkuk Kim
Heterogeneity in Statistical Genetics Book PDF

Author : Derek Gordon,Stephen J. Finch,Wonkuk Kim
Publisher : Springer Nature
Page : 366 pages
File Size : 55,5 Mb
Release : 2020-12-16
Category : Medical
ISBN : 9783030611217

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Heterogeneity in Statistical Genetics by Derek Gordon,Stephen J. Finch,Wonkuk Kim Pdf

Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon. In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing statistical power and sample size calculations for tests of genetic association. We anticipate that this book will be useful to researchers who want to estimate heterogeneity in their data, develop or apply genetic association statistics where heterogeneity exists, and accurately evaluate statistical power and sample size for genetic association through the application of robust experimental design.

Statistical Genetics

Prem Narain (Prof.)
Statistical Genetics Book PDF

Author : Prem Narain (Prof.)
Publisher : Unknown
Page : 624 pages
File Size : 42,8 Mb
Release : 1990
Category : Science
ISBN : STANFORD:36105031239895

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Statistical Genetics by Prem Narain (Prof.) Pdf

This Book Describes The Methodology Of A Field Of Biology That Weds Statistics And Genetics And Goes By The Name Of Statistical Genetics. The Relevant Principles Of Genetics, Statistics And Breeding Are Discussed Together At One Place. The Emphasis Is On The Important Applications Of The Statisticogenetic Principles To The Plant And Animal Breeding Problems. It Has Been Written For The Benefit Of Post- Graduate Students Majoring In The Fields Of Either Genetics And Breeding Or Statistics Applied To Agriculture. Also, Since Advanced Researches In This Field Which Have Taken Place Over The Years Are Scattered In Various Journals, This Book Is Equally Addressed To Researchers In The Fields Of Statistics, Genetics And Breeding.The Book Is Unique In Several Respects And Sets Itself Apart When Compared With Other Published Books On The Subject. The Basic Elements Of Mendelian Genetics Which Is Very Crucial To The Understanding Of The Subject Have Been Included Right In The Beginning. The Relevant Topics Of Population Genetics Essential For Understanding The Principles Of Quantitative Inheritance Have Also Been Dealt With. Special Treatment Has Been Given To The Topics Dealing With The Methods Of Selection And Crossbreeding Which Can Bring About Desired Genetic Improvement. Diallel And Partial Diallel Crosses, Both The Design As Well As The Analysis Aspects Have Been Included.Because Of The Inter-Disciplinary Nature Of The Subject, Bringinng In So To Say Biology And Mathematics Together, The Book Has Adopted An Integrated Approach Placing Due Emphasis On Both The Fields. Appropriate Mathematical And Statistical Derivations For Mathematically Oriented Readers As Also Concepts In Non- Mathematical Terms For Biologist Friends Have Been Presented In A Judicious Manner.

A Statistical Approach to Genetic Epidemiology

Andreas Ziegler,Inke R. Kônig,Friedrich Pahlke
A Statistical Approach to Genetic Epidemiology Book PDF

Author : Andreas Ziegler,Inke R. Kônig,Friedrich Pahlke
Publisher : John Wiley & Sons
Page : 522 pages
File Size : 42,6 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.