Statistical Analysis Of Quantitative Genetics

Author : B. L. Agarwal
Publisher : New Age International
Page : 22 pages
File Size : 51,9 Mb
Release : 2007-12
Category : Breeding
ISBN : 9788122420395

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Statistical Analysis of Quantitative Genetics by B. L. Agarwal Pdf

About the Book: This book deals with the problems of students, teachers and researchers associated with the subject of genetics, plant and animal breeding. Basic concepts necessary to explain statistical measures and analysis of data are also incorporated. Path analysis, heritability, repeatability, genotypic and phenotypic correlations, analysis of breeding experiments by Hayman's approach and otherwise, combining ability analysis for Griffing's models, line x tester analysis, stability analysis etc., are explicated theoretically and also by demonstrating thoroughly worked examples. This book will also bridge the gap between consulting statisticians and breeders. In a broader sense this book is good for students and researchers in the areas of biology, plant breeding, animal breeding, etc., in multifarious ways. Contents: Basics of Genetics Path Analysis Heritability and Repeatability Breeding and Data Analysis Combining Ability Analysis Stability Analysis.

Author : Rongling Wu,Changxing Ma,George Casella
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 52,7 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.

Author : Melinda C. Mills,Nicola Barban,Felix C. Tropf
Publisher : MIT Press
Page : 433 pages
File Size : 48,9 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.

Author : Daniel Sorensen,Daniel Gianola
Publisher : Springer Science & Business Media
Page : 745 pages
File Size : 40,7 Mb
Release : 2007-03-22
Category : Science
ISBN : 9780387954400

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Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics by Daniel Sorensen,Daniel Gianola Pdf

This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.

Author : Charles J Mode
Publisher : World Scientific Publishing Company
Page : 180 pages
File Size : 55,8 Mb
Release : 2016-11-02
Category : Electronic
ISBN : 9789813140707

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Quantitative Genetics and Its Connections with Big Data and Sequenced Genomes by Charles J Mode Pdf

The book gives an overview of developments in Quantitative Genetics and variance component analysis in an era of Big Data and Sequenced Genomes. It provides a detailed description of a direct method of estimation that will be a useful means of extracting information from a large set of data that was inconceivable 10 to 20 years ago. The book is a combination of a history of variance component analysis and a forward looking view as to how direct methods of estimation arise from the availability of big data sets and sequenced genomes of each individual in the sample. Many papers and books on quantitative genetics versions of the general linear model from statistics are useful for analyzing the data, using relatively small sets of data. In this book, new methods of direct estimation are introduced and analyzed that are appropriate for an era of big sets of data and sequences genomes. These direct methods of estimation are based on taking conditional expectations rather the methods of least squares that characterize many applications of the general linear model of statistics. Request Inspection Copy

Author : Fikret Isik,James Holland,Christian Maltecca
Publisher : Springer
Page : 400 pages
File Size : 53,7 Mb
Release : 2017-09-09
Category : Science
ISBN : 9783319551777

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Genetic Data Analysis for Plant and Animal Breeding by Fikret Isik,James Holland,Christian Maltecca Pdf

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 : Shizhong Xu
Publisher : Unknown
Page : 0 pages
File Size : 51,9 Mb
Release : 2022
Category : Electronic
ISBN : 3030839419

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Quantitative Genetics by Shizhong Xu Pdf

The intended audience of this textbook are plant and animal breeders, upper-level undergraduate and graduate students in biological and agricultural science majors. Statisticians who are interested in understanding how statistical methods are applied to genetics and agriculture can benefit substantially by reading this book. One characteristic of this textbook is represented by three chapters of technical reviews for Mendelian genetics, population genetics and preliminary statistics, which are prerequisites for studying quantitative genetics. Numerous examples are provided to illustrate different methods of data analysis and estimation of genetic parameters. Along with each example of data analyses is the program code of SAS (statistical analysis system).

Author : Benjamin Neale,Manuel Ferreira,Sarah Medland,Danielle Posthuma
Publisher : Garland Science
Page : 608 pages
File Size : 40,6 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.

Author : J. P. Jain
Publisher : Unknown
Page : 328 pages
File Size : 44,9 Mb
Release : 1982
Category : Quantitative genetics
ISBN : 0074516914

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Statistical Techniques in Quantitative Genetics by J. P. Jain Pdf

Author : Melinda C. Mills,Nicola Barban,Felix C. Tropf
Publisher : MIT Press
Page : 433 pages
File Size : 55,5 Mb
Release : 2020-02-18
Category : Science
ISBN : 9780262538381

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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.

Author : Prem Narain (Prof.)
Publisher : Unknown
Page : 624 pages
File Size : 44,9 Mb
Release : 1990
Category : Animal breeding
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.

Author : Dr M Kearsey,Dr H Pooni
Publisher : Garland Science
Page : 396 pages
File Size : 42,8 Mb
Release : 2020-10-29
Category : Science
ISBN : 9781000144178

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Genetical Analysis of Quantitative Traits by Dr M Kearsey,Dr H Pooni Pdf

This text provides a guide to the experimental and analytical methodologies available to study quantitative traits, a review of the genetic control of quantitative traits, and a discussion of how this knowledge can be applied to breeding problems and evolution.

Author : Michael Lynch,Bruce Walsh
Publisher : Sinauer Associates Incorporated
Page : 980 pages
File Size : 42,9 Mb
Release : 1998-01
Category : Science
ISBN : 0878934812

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Genetics and Analysis of Quantitative Traits by Michael Lynch,Bruce Walsh Pdf

Professors Lynch and Walsh bring together the diverse array of theoretical and empirical applications of quantitative genetics in a work that is comprehensive and accessible to anyone with a rudimentary understanding of statistics and genetics.

Author : Zehua Chen
Publisher : CRC Press
Page : 308 pages
File Size : 46,6 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781439868317

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Statistical Methods for QTL Mapping by Zehua Chen Pdf

While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics an

Author : Nicola J. Camp,Angela Cox
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 54,5 Mb
Release : 2008-02-03
Category : Medical
ISBN : 9781592591763

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Quantitative Trait Loci by Nicola J. Camp,Angela Cox Pdf

In Quantitative Trait Loci: Methods and Protocols, a panel of highly experienced statistical geneticists demonstrate in a step-by-step fashion how to successfully analyze quantitative trait data using a variety of methods and software for the detection and fine mapping of quantitative trait loci (QTL). Writing for the nonmathematician, these experts guide the investigator from the design stage of a project onwards, providing detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results. Worked examples, citations to key papers, and variations in method ease the way to understanding and successful studies. Among the cutting-edge techniques presented are QTDT methods, variance components methods, and the Markov Chain Monte Carlo method for joint linkage and segregation analysis.