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Mapping Quantitative Trait Loci Using Linkage And Linkage Disequilibria With Selective Genotyping
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Book Synopsis Mapping Quantitative Trait Loci Using Linkage and Linkage Disequilibria with Selective Genotyping by : Lu Tong Duc
Download or read book Mapping Quantitative Trait Loci Using Linkage and Linkage Disequilibria with Selective Genotyping written by Lu Tong Duc and published by . This book was released on 2003 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fine-mapping Quantitative Trait Loci for Meat Quality Using Linkages and Linkage Disequilibrium Analyses by : Gelson Luís Dias Feijó
Download or read book Fine-mapping Quantitative Trait Loci for Meat Quality Using Linkages and Linkage Disequilibrium Analyses written by Gelson Luís Dias Feijó and published by . This book was released on 2007 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Quantitative Trait Loci by : Nicola J. Camp
Download or read book Quantitative Trait Loci written by Nicola J. Camp and published by Springer Science & Business Media. This book was released on 2008-02-03 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Quantitative Trait Loci Analysis in Animals by : Joel Ira Weller
Download or read book Quantitative Trait Loci Analysis in Animals written by Joel Ira Weller and published by CABI. This book was released on 2009 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Trait Loci (QTL) is a topic of major agricultural significance for efficient livestock production. This book covers various statistical methods that have been used or proposed for detection and analysis of QTL and marker-and gene-assisted selection in animal genetics and breeding.
Book Synopsis Modeling and Inferring Quantitative Trait Loci Using Linkage Disequilibrium in Natural Populations by :
Download or read book Modeling and Inferring Quantitative Trait Loci Using Linkage Disequilibrium in Natural Populations written by and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative trait loci (QTL) are those chromosome regions that contribute to variation of quantitative traits. Analysis of QTL is helpful for further study of molecular basis of the quantitative genetic variation. The discovery of highly abundant and dense polymorphic markers (e.g., single nucleotide polynorphisms, or SNPs) covering a whole genome provides an opportunity to localize QTL in a variety of populations. While classical linkage studies have a relatively limited resolution in QTL localization, the association mapping or linkage disequilibrium (LD) mapping approach can offer an alternative way for fine mapping of genes. Currently there are few LD methods available for QTL mapping in natural populations. Development of more efficient methods is still a challenging problem. In this thesis, we first review the LD approach for fine mapping of QTL in Chapter 1. Some basic issues in LD analysis and recent developments in LD methodology are discussed. Particular attention is paid to limitations and potential problems of these methods. This provides the motivation for the research in this thesis. Next, we explore Cockerham's genetic model (Cockerham, 1954) for quantitative traits in Chapter 2. A revised form of the Cockerham model is presented using some coding variables. The relationship between Cockerham model and some specific genetic models for designed experimental populations, such as backcross or F2, is then established. We study extensively the properties of QTL effects and partitions of various genetic variance components for these reduced models under both linkage equilibrium and linkage disequilibrium situations. A general multi-locus-two-allele model is also proposed that may serve as a basis for mapping QTL in natural populations. The main research of the thesis is on development of an exact multipoint likelihood approach to infer QTL in natural populations. In Chapter 3, we first generalize the formulation of the likelihood analysis for a polymorphic.
Book Synopsis Designing Experiments for Mapping Quantitative Trait Loci in Segregating Animal Populations by : Fengxing Du
Download or read book Designing Experiments for Mapping Quantitative Trait Loci in Segregating Animal Populations written by Fengxing Du and published by . This book was released on 1999 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Molecular Dissection of Complex Traits by : Andrew H. Paterson
Download or read book Molecular Dissection of Complex Traits written by Andrew H. Paterson and published by CRC Press. This book was released on 2019-09-17 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past 10 years, contemporary geneticists using new molecular tools have been able to resolve complex traits into individual genetic components and describe each such component in detail. Molecular Dissection of Complex Traits summarizes the state of the art in molecular analysis of complex traits (QTL mapping), placing new developments in thi
Book Synopsis Modeling and Inferring Quantitative Trait Loci Using Linkage Disequilibrium in Natural Populations by : Tao Wang
Download or read book Modeling and Inferring Quantitative Trait Loci Using Linkage Disequilibrium in Natural Populations written by Tao Wang and published by . This book was released on 2001 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keywords: quantitative trait, QTL, genetic model, likelihood, linkage disequilibrium, association mapping, natural population.
Book Synopsis Power and Accuracy of Detecting Linkage Between Quantitative Trait Loci and Genetic Markers by : Zhiwu Zhang
Download or read book Power and Accuracy of Detecting Linkage Between Quantitative Trait Loci and Genetic Markers written by Zhiwu Zhang and published by . This book was released on 1998 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Contributions to the Design and Analysis of Quantitative Trait Loci Experiments by : Chunfang Jin
Download or read book Contributions to the Design and Analysis of Quantitative Trait Loci Experiments written by Chunfang Jin and published by . This book was released on 2004 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Davood Kolbehdari Publisher :Library and Archives Canada = Bibliothèque et Archives Canada ISBN 13 :9780494019061 Total Pages :120 pages Book Rating :4.0/5 (19 download)
Book Synopsis Fine Mapping of Quantitative Trait Loci (QTL) Using Linkage and Linkage Disequilibrium Analysis in Half-sib Designs [microform] by : Davood Kolbehdari
Download or read book Fine Mapping of Quantitative Trait Loci (QTL) Using Linkage and Linkage Disequilibrium Analysis in Half-sib Designs [microform] written by Davood Kolbehdari and published by Library and Archives Canada = Bibliothèque et Archives Canada. This book was released on 2004 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Use of Linkage Disequilibrium for Quantitative Trait Loci Mapping in Livestock by : Honghua Zhao
Download or read book Use of Linkage Disequilibrium for Quantitative Trait Loci Mapping in Livestock written by Honghua Zhao and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis High Resolution Linkage and Association Study of Quantitative Trait Loci by : Jeesun Jung
Download or read book High Resolution Linkage and Association Study of Quantitative Trait Loci written by Jeesun Jung and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: As a large number of single nucleotide polymorphisms (SNPs) and microsatellite markers are available, high resolution mapping employing multiple markers or multiple allele markers is an important step to identify quantitative trait locus (QTL) of complex human disease. For many complex diseases, quantitative phenotype values contain more information than dichotomous traits do. Much research has been done on conducting high resolution mapping using information of linkage and linkage disequilibrium. The most commonly employed approaches for mapping QTL are pedigree-based linkage analysis and population-based association analysis. As one of the methods dealing with multiple alleles markers, mixed models are developed to work out family-based association study with the information of transmitted allele and nontransmitted allele from one parent to offspring. For multiple markers, variance component models are proposed to perform association study and linkage analysis simultaneously. Linkage analysis provides suggestive linkage based on a broad chromosome region and is robust to population admixtures. One the other hand, allelic association due to linkage disequilibrium (LD) usually operates over very short genetic distance, but is affected by population stratification. Combining both approaches plays a synergistic role in overcoming their limitations and in increasing the efficiency and effectiveness of gene mapping.
Book Synopsis Quantitative Trait Loci Linkage Mapping for Dynamic Traits by : Hongjuan Liu
Download or read book Quantitative Trait Loci Linkage Mapping for Dynamic Traits written by Hongjuan Liu and published by . This book was released on 2006 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Linkage Analysis and Gene Mapping by : Jiankang WANG
Download or read book Linkage Analysis and Gene Mapping written by Jiankang WANG and published by EDP Sciences. This book was released on 2023-07-07T00:00:00+02:00 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: One major task of genetic studies is to construct the genetic map through linkage analysis, and then locate the genetic loci of important traits on the constructed linkage maps, identify favorable alleles which are of values to human beings, and investigate their biochemical pathways from genotype to phenotype. This book presents the linkage analysis and gene mapping methodologies, which are applicable to self-pollinated, cross-pollinated, and asexual propagated species, and genetic populations derived from two homozygous parents, two heterozygous parents, and multiple homozygous parents. Chapter 1 in this book begins with genetic mating designs and various types of genetic populations, followed by the structure of commonly used populations and analysis methods of phenotypic data. In chapters 2 and 3, estimation of recombination frequency and construction of linkage map are introduced for twenty bi-parental populations. Chapter 4 deals with two classical gene mapping methods, where no background control is considered, while chapters 5 and 6 describe the inclusive composite interval mapping (ICIM) with background control. Chapter 7 is focused on populations derived from two heterozygous parents, which can be two individuals in a random mating population, two clonal cultivars, or two single crosses from four homozygous inbred lines. Chapter 8 provides knowledge on the pure-line progeny populations derived from four to eight homozygous parents. The last two chapters covers populations, methods and commonly asked questions in genetic mapping which cannot be included previously. This book is intended for readers working on plant and animal genetics, population and quantitative genetics, and plant and animal breeding.
Book Synopsis The Maize Genome by : Jeffrey Bennetzen
Download or read book The Maize Genome written by Jeffrey Bennetzen and published by Springer. This book was released on 2018-11-24 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses advances in our understanding of the structure and function of the maize genome since publication of the original B73 reference genome in 2009, and the progress in translating this knowledge into basic biology and trait improvement. Maize is an extremely important crop, providing a large proportion of the world’s human caloric intake and animal feed, and serving as a model species for basic and applied research. The exceptionally high level of genetic diversity within maize presents opportunities and challenges in all aspects of maize genetics, from sequencing and genotyping to linking genotypes to phenotypes. Topics covered in this timely book range from (i) genome sequencing and genotyping techniques, (ii) genome features such as centromeres and epigenetic regulation, (iii) tools and resources available for trait genomics, to (iv) applications of allele mining and genomics-assisted breeding. This book is a valuable resource for researchers and students interested in maize genetics and genomics.
Book Synopsis Family-Wise Error Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection by : Garret Saunders
Download or read book Family-Wise Error Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection written by Garret Saunders and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The main aim of this dissertation is to meet real needs of practitioners in multiple hypothesis testing. The issue of multiplicity has become a significant concern in most fields of research as computational abilities have increased, allowing for the simultaneous testing of many (thousands or millions) statistical hypothesis tests. While many error rates have been defined to address this issue of multiplicity, this work considers only the most natural generalization of the Type I Error rate to multiple tests, the family-wise error rate (FWER). Much work has already been done to establish powerful yet general methods which control the FWER under arbitrary dependencies among tests. This work both introduces these methods and expands upon them as is detailed through its four main chapters. Chapter 1 contains general introductions and preliminaries important to the remainder of the work, particularly a previously published graphical weighted Bonferroni multiplicity adjustment. Chapter 2 then applies the principles introduced in Chapter 1 to achieve a substantial computational improvement to an existing FWER controlling multiplicity approach (the Focus Level method) for gene set testing in high throughput microarray and next generation sequencing studies using Gene Ontology graphs. This improvement to the Focus Level procedure, which we call the Short Focus Level procedure, is achieved by extending the reach of graphical weighted Bonferroni testing to closed testing situations where restricted hypotheses are present. This is accomplished through Theorem 1 of Chapter 2. As a result of the improvement, the full top-down approach to the Focus Level procedure can now be performed, overcoming a significant disadvantage of the otherwise powerful approach to multiple testing. Chapter 3 presents a solution to a multiple testing difficulty within quantitative trait loci (QTL) mapping in natural populations for QTL LD (linkage disequilibrium) mapping models. Such models apply a two-hypothesis framework to the testing of thousands of genetic markers across the genome in search of QTL underlying a quantitative trait of interest. Inherent to the model is an unidentifiability issue where a parameter of interest is identifiable only under the alternative hypothesis. Through a second application of graphical weighted Bonferroni methods we show how the multiplicity can be accounted for while simultaneously accounting for the required logical structuring of the testing such that identifiability is preserved. Finally, Chapter 4 details some of the difficulties associated with the distributional assumptions for the test statistics of the two hypotheses of the LD based QTL mapping framework. A novel bivariate testing strategy is proposed for these test statistics in order to overcome these distributional difficulties while preserving power in the multiplicity correction by reducing the number of tests performed. Chapter 5 concludes the work with a summary of the main contributions and future research goals aimed at continual improvement to the multiple testing issues inherent to both the fields of genetics and genomics.
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