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Author : J. P. Jain
Publisher : Unknown
Page : 328 pages
File Size : 51,7 Mb
Release : 1982
Category : Quantitative genetics
ISBN : 0074516914
Author : J. P.. Jain
Publisher : Unknown
Page : 384 pages
File Size : 41,8 Mb
Release : 1992
Category : Quantitative genetics
ISBN : 8170750210
Author : Zehua Chen
Publisher : CRC Press
Page : 308 pages
File Size : 44,7 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781439868317
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 : Daniel Sorensen,Daniel Gianola
Publisher : Springer Science & Business Media
Page : 745 pages
File Size : 49,8 Mb
Release : 2007-03-22
Category : Science
ISBN : 9780387954400
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 : Rongling Wu,Changxing Ma,George Casella
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 54,7 Mb
Release : 2007-07-17
Category : Science
ISBN : 9780387681542
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 : Daniel Gianola,Keith Hammond
Publisher : Springer Science & Business Media
Page : 554 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783642744877
Developments in statistics and computing as well as their application to genetic improvement of livestock gained momentum over the last 20 years. This text reviews and consolidates the statistical foundations of animal breeding. This text will prove useful as a reference source to animal breeders, quantitative geneticists and statisticians working in these areas. It will also serve as a text in graduate courses in animal breeding methodology with prerequisite courses in linear models, statistical inference and quantitative genetics.
Author : Nan M. Laird,Christoph Lange
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 46,7 Mb
Release : 2010-12-13
Category : Medical
ISBN : 9781441973382
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.
Author : Shizhong Xu
Publisher : Unknown
Page : 0 pages
File Size : 42,6 Mb
Release : 2022
Category : Electronic
ISBN : 3030839419
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 : M.C. Yang
Publisher : CRC Press
Page : 264 pages
File Size : 51,7 Mb
Release : 2000-02-23
Category : Mathematics
ISBN : 9056991345
Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application. Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn: How a gene is found How scientists have separated the genetic and environmental aspects of a person's intelligence How genetics are used in agriculture to improve crops and domestic animals What a DNA fingerprint is and why there are controversies about it Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entrée into the rapidly expanding world of genetic data analysis.
Author : Kenneth Lange
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 46,8 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9780387217505
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 : Christine Langhoff
Publisher : GRIN Verlag
Page : 9 pages
File Size : 40,8 Mb
Release : 2003-06-07
Category : Science
ISBN : 9783638195256
Essay from the year 2002 in the subject Biology - Genetics / Gene Technology, grade: 2.1 (B), Oxford University (New College), 6 entries in the bibliography, language: English, abstract: Ultimately, the goal of genetics is the analysis of the genotype of organisms. But the genotype can be identified – and therefore studied – only through its phenotypic effect. This means that two genotypes are recognised as different from each other because the phenotypes of their carriers are different. A problem can be seen with this approach as the actual variation between organisms is usually quantitative, not qualitative. Many different genotypes may have the same average phenotype. At the same time, because of environmental variation, two individuals of the same genotype may not have the same phenotype. This lack of a one-to-one correspondence between genotype and phenotype obscures underlying Mendelian genetics. I am going to explore the use of various statistical techniques for studying quantitative traits with application to behavioural traits. I am also going to examine whether there are behavioural traits with sufficiently high heritabilities to give hope for gene searches and I am going to discuss the difficulties that confront molecular geneticists regarding psychiatric genetics.
Author : Nicola J. Camp,Angela Cox
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 44,5 Mb
Release : 2008-02-03
Category : Medical
ISBN : 9781592591763
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.
Author : Prem Narain
Publisher : Unknown
Page : 624 pages
File Size : 44,9 Mb
Release : 1990-08-31
Category : Science
ISBN : UOM:39015072623146
Describes the methodology of statistical genetics, especially with respect to plant and animal breeding. Introduces the principles of Mendelian genetics and discusses population and quantitative genetics. Emphasizes how statistical principles help in understanding the genetic gains expected by efficient methods of selection and breeding, as well as indicating the techniques of analysis of breeding data. Includes numerous tables of breeding data for quick reference.
Author : Melinda C. Mills,Nicola Barban,Felix C. Tropf
Publisher : MIT Press
Page : 433 pages
File Size : 52,9 Mb
Release : 2020-02-18
Category : Science
ISBN : 9780262357449
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 : Fikret Isik,James Holland,Christian Maltecca
Publisher : Springer
Page : 400 pages
File Size : 43,5 Mb
Release : 2017-09-09
Category : Science
ISBN : 9783319551777
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.