Empirical Studies of Genetic Models Used in Estimating Heritability PDF Download
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Author: Ahmed Said Abdel-Aziz
Publisher:
ISBN:
Category : Genetics
Languages : en
Pages : 206
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Book Description
Author: Ahmed Said Abdel-Aziz
Publisher:
ISBN:
Category : Genetics
Languages : en
Pages : 206
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Book Description
Author: Michael R. Barnes
Publisher: John Wiley & Sons
ISBN: 047086219X
Category : Science
Languages : en
Pages : 432
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Book Description
This timely book illustrates the value of bioinformatics, not simply as a set of tools but rather as a science increasingly essential to navigate and manage the host of information generated by genomics and the availability of completely sequenced genomes. Bioinformatics can be used at all stages of genetics research: to improve study design, to assist in candidate gene identification, to aid data interpretation and management and to shed light on the molecular pathology of disease-causing mutations. Written specifically for geneticists, this book explains the relevance of bioinformatics showing how it may be used to enhance genetic data mining and markedly improve genetic analysis.
Author: Amed Said Abdel-Aziz
Publisher:
ISBN:
Category :
Languages : en
Pages : 88
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Book Description
Author: Anne Charmantier
Publisher: Oxford University Press
ISBN: 019967423X
Category : Medical
Languages : en
Pages : 293
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Book Description
This book gathers the expertise of 30 evolutionary biologists from around the globe to highlight how applying the field of quantitative genetics - the analysis of the genetic basis of complex traits - aids in the study of wild populations.
Author: Jing Zhang
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
The heritability of a quantitative trait is a very important parameter to quantify the genetic variation present in a population. Although traditional techniques for estimating heritability require accurate information of the genetic relationship among individuals, pedigree structure is generally lacking in natural population. Nowadays, the development of DNA markers is making possible to reconstruct pedigree accurately with sufficient markers. These reconstructed pedigrees have then been used with restricted maximum likelihood under a general linear mixed model to estimate heritability. In this thesis, we use markers and phenotypic observations jointly to estimate the pedigree and heritability simultaneously. We develop a MCMC sampling method of moving through the sibship configuration space and space of parameters of quantitative trait, and finding the configuration and optimal parameter values that maximizes the full joint likelihood or posterior distribution of proposed family structure and genetic variance components. Using this method, we estimate of heritabilities of 318 abalone at different time points separately and independently. Both MLE and Bayes estimate are superior to two-step method using insufficient markers (two microsatellite markers). We also give the discussion about the choices of prior distributions of parameters in the model. At the end, we extend our method to incorporate with observations at multiple time points, but we don't obtain any significant improvements.
Author: Michael Lynch
Publisher: Sinauer Associates Incorporated
ISBN: 9780878934812
Category : Science
Languages : en
Pages : 980
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Book Description
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: Anna Bonnet
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
We study statistical methods toestimate the heritability of a biological trait,which is the proportion of variations of thistrait that can be explained by genetic factors.First, we propose to study the heritability ofquantitative traits using high-dimensionalsparse linear mixed models. We investigate thetheoretical properties of the maximumlikelihood estimator for the heritability and weshow that it is a consistent estimator and that itsatisfies a central limit theorem with a closedformexpression for the asymptotic variance.This result, supported by an extendednumerical study, shows that the variance of ourestimator is strongly affected by the ratiobetween the number of observations and thesize of the random genetic effects. Moreprecisely, when the number of observations issmall compared to the size of the geneticeffects (which is often the case in geneticstudies), the variance of our estimator is verylarge. This motivated the development of avariable selection method in order to capturethe genetic variants which are involved themost in the phenotypic variations and providemore accurate heritability estimations. Wepropose then a variable selection methodadapted to high dimensional settings and weshow that, depending on the number of geneticvariants actually involved in the phenotypicvariations, called causal variants, it was a goodidea to include or not a variable selection stepbefore estimating heritability.The last part of this thesis is dedicated toheritability estimation for binary data, in orderto study the proportion of genetic factorsinvolved in complex diseases. We propose tostudy the theoretical properties of the methoddeveloped by Golan et al. (2014) for casecontroldata, which is very efficient in practice.Our main result is the proof of the consistencyof their heritability estimator.
Author: Herbert C. III Morse
Publisher: Elsevier
ISBN: 0323142834
Category : Nature
Languages : en
Pages : 737
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Book Description
Origins of Inbred Mice documents the proceedings of a symposium on the state of knowledge on inbred mice held in Bethesda, Maryland, in 1978. The book is organized into seven parts. Part I provides introductory remarks on the history of the development of inbred mice. Part II contains papers that examine mutations of inbred strains of mice. Part III contains studies dealing with viruses that affect inbred mice, including those that cause leukemia and mammary tumors. Part IV examines histocompatibility genes and their antigens; cell surface antigens of mouse leukemia; the characteristics of genes of the Tla region of the mouse; and the use of recombinant inbred strains in gene mapping. Part V presents studies on differences among sublines of inbred mouse strains. The papers in Part VI focus on wild mice, covering their classification and biochemical polymorphisms. Finally, Part VIII discusses the viruses, T locus, and histocompatibility antigens of wild mice.
Author: Fikret Isik
Publisher: Springer
ISBN: 3319551779
Category : Science
Languages : en
Pages : 409
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Book Description
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: John I. Nurnberger
Publisher: Cambridge University Press
ISBN: 0521896495
Category : Medical
Languages : en
Pages : 415
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Book Description
A comprehensive, up-to-date resource providing information about genetic influences on disorders of behavior.
