Linkage Analysis In Human Genetics By Statistical Methods
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Linkage Analysis In Human Genetics By Statistical Methods
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Author :
language : en
Publisher:
Release Date : 1976
Linkage Analysis In Human Genetics By Statistical Methods written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with categories.
The Fundamentals Of Modern Statistical Genetics
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Author : Nan M. Laird
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-12-13
The Fundamentals Of Modern Statistical Genetics written by Nan M. Laird and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-13 with Medical categories.
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.
Statistical Methods In Genetic Epidemiology
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Author : Duncan C. Thomas
language : en
Publisher: Oxford University Press
Release Date : 2004-01-29
Statistical Methods In Genetic Epidemiology written by Duncan C. Thomas and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-29 with Medical categories.
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.
Analysis Of Human Genetic Linkage
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Author : Jurg Ott
language : en
Publisher: JHU Press
Release Date : 1999-04-16
Analysis Of Human Genetic Linkage written by Jurg Ott and has been published by JHU Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-04-16 with Medical categories.
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.
Statistical Genetics
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Author : Benjamin Neale
language : en
Publisher: Garland Science
Release Date : 2007-11-30
Statistical Genetics written by Benjamin Neale and has been published by Garland Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-30 with Science categories.
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.
Statistical Human Genetics
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Author : Robert C. Elston
language : en
Publisher: Humana Press
Release Date : 2012-02-04
Statistical Human Genetics written by Robert C. Elston and has been published by Humana Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-04 with Science categories.
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.
Statistics In Human Genetics
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Author : Pak Sham
language : en
Publisher: John Wiley & Sons
Release Date : 1998-01
Statistics In Human Genetics written by Pak Sham and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01 with Genetics categories.
This is one of the first introductions to the sophisticated statistical methods that play a key role in research on human genetics. Topics include the estimation of allele frequencies, the testing for Hardy-Weinberg equilibrium, classical and complex segregation analysis, linkage analysis for Mendelian and complex diseases and quantitative traits, the detection of allelic associations, the estimation of heritability for multifactorial traits and path analysis.
Handbook On Analyzing Human Genetic Data
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Author : Shili Lin
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-13
Handbook On Analyzing Human Genetic Data written by Shili Lin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-13 with Medical categories.
This handbook offers guidance on selections of appropriate computational methods and software packages for specific genetic problems. Coverage strikes a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches.
Quantitative Trait Loci
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Author : Nicola J. Camp
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-03
Quantitative Trait Loci written by Nicola J. Camp and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-03 with Medical categories.
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.
Statistics In Human Genetics And Molecular Biology
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Author : Cavan Reilly
language : en
Publisher: CRC Press
Release Date : 2009-06-19
Statistics In Human Genetics And Molecular Biology written by Cavan Reilly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-19 with Mathematics categories.
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.