Linkage Disequilibrium And Association Mapping Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Linkage Disequilibrium And Association Mapping book. This book definitely worth reading, it is an incredibly well-written.
Author : Andrew R. Collins Publisher : Springer Science & Business Media Page : 529 pages File Size : 43,5 Mb Release : 2008-02-05 Category : Medical ISBN : 9781597453899
Linkage Disequilibrium and Association Mapping by Andrew R. Collins Pdf
As researchers continue to make enormous progress in mapping disease genes, exciting, novel, and complex analyses have emerged. In this book, scientists from around the world, who are leaders in this field, contribute their vast experience and expertise to produce a comprehensive and fascinating text for researchers and clinicians alike. They provide cutting-edge analysis of the most up-to-date and preeminent information available.
Association Mapping in Plants by Nnadozie C. Oraguzie,Erik H.A. Rikkerink,Susan E. Gardiner,H. Nihal de Silva Pdf
This book provides both basic and advanced understanding of association mapping and an awareness of population genomics tools to facilitate mapping and identification of the underlying causes of quantitative trait variation in plants. It acts as a useful review of the marker technology, the statistical methodology, and the progress to date. It also offers guides to the use of single nucleotide polymorphisms (SNPs) in association studies.
Genomics-Assisted Crop Improvement by R.K. Varshney,Roberto Tuberosa Pdf
This superb volume provides a critical assessment of genomics tools and approaches for crop breeding. Volume 1 presents the status and availability of genomic resources and platforms, and also devises strategies and approaches for effectively exploiting genomics research. Volume 2 goes into detail on a number of case studies of several important crop and plant species that summarize both the achievements and limitations of genomics research for crop improvement.
Genetic Analysis of Complex Disease by William K. Scott,Marylyn D. Ritchie Pdf
Genetic Analysis of Complex Diseases An up-to-date and complete treatment of the strategies, designs and analysis methods for studying complex genetic disease in human beings In the newly revised Third Edition of Genetic Analysis of Complex Diseases, a team of distinguished geneticists delivers a comprehensive introduction to the most relevant strategies, designs and methods of analysis for the study of complex genetic disease in humans. The book focuses on concepts and designs, thereby offering readers a broad understanding of common problems and solutions in the field based on successful applications in the design and execution of genetic studies. This edited volume contains contributions from some of the leading voices in the area and presents new chapters on high-throughput genomic sequencing, copy-number variant analysis and epigenetic studies. Providing clear and easily referenced overviews of the considerations involved in genetic analysis of complex human genetic disease, including sampling, design, data collection, linkage and association studies and social, legal and ethical issues. Genetic Analysis of Complex Diseases also provides: A thorough introduction to study design for the identification of genes in complex traits Comprehensive explorations of basic concepts in genetics, disease phenotype definition and the determination of the genetic components of disease Practical discussions of modern bioinformatics tools for analysis of genetic data Reflecting on responsible conduct of research in genetic studies, as well as linkage analysis and data management New expanded chapter on complex genetic interactions This latest edition of Genetic Analysis of Complex Diseases is a must-read resource for molecular biologists, human geneticists, genetic epidemiologists and pharmaceutical researchers. It is also invaluable for graduate students taking courses in statistical genetics or genetic epidemiology.
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.
Analysis of Complex Disease Association Studies by Eleftheria Zeggini,Andrew Morris Pdf
According to the National Institute of Health, a genome-wide association study is defined as any study of genetic variation across the entire human genome that is designed to identify genetic associations with observable traits (such as blood pressure or weight), or the presence or absence of a disease or condition. Whole genome information, when combined with clinical and other phenotype data, offers the potential for increased understanding of basic biological processes affecting human health, improvement in the prediction of disease and patient care, and ultimately the realization of the promise of personalized medicine. In addition, rapid advances in understanding the patterns of human genetic variation and maturing high-throughput, cost-effective methods for genotyping are providing powerful research tools for identifying genetic variants that contribute to health and disease. This burgeoning science merges the principles of statistics and genetics studies to make sense of the vast amounts of information available with the mapping of genomes. In order to make the most of the information available, statistical tools must be tailored and translated for the analytical issues which are original to large-scale association studies. Analysis of Complex Disease Association Studies will provide researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools appropriately and effectively. With the use of consistent examples throughout the work, chapters will provide readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Frequently used tests will be highlighted and a critical analysis of the advantages and disadvantage complimented by case studies for each will provide readers with the information they need to make the right choice for their research. Additional tools including links to analysis tools, tutorials, and references will be available electronically to ensure the latest information is available. Easy access to key information including advantages and disadvantage of tests for particular applications, identification of databases, languages and their capabilities, data management risks, frequently used tests Extensive list of references including links to tutorial websites Case studies and Tips and Tricks
The Maize Genome by Jeffrey Bennetzen,Sherry Flint-Garcia,Candice Hirsch,Roberto Tuberosa Pdf
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.
Handbook of Statistical Genomics by David J. Balding,Ida Moltke,John Marioni Pdf
A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
This book comprehensively introduces stripe rust disease, its development and its integral control. Covering the biology, genetics, genome, and functional genomics of the pathogen, it also discusses host and non-host resistance, their interactions and the epidemiology of the disease. It is intended for scientists, postgraduates and undergraduate studying stripe rust, plant pathology, crop breeding, crop protection and agricultural science, but is also a valuable reference book for consultants and administrators in agricultural businesses and education.
Modern Developments in Theoretical Population Genetics by Montgomery Slatkin,Michel Veuille Pdf
This book contains chapters by leading population genetics that summarize many of the recent developments in population genetics theory and its application to genetic data. The book was inspired by a meeting in honour of the late French population geneticist, Gustave Malecot, held at the Ecole Normale Superieure in Paris, France, in the summer of 1999. Malecot was, along with R.A. Fisher, J.B.S. Haldane, and S. Wright, among the founders of theoretical population genetics. The meeting demonstrated both the great interest in Malecot's work and its relevance to the recent development of the theory of coalescents and the application of that theory to genetic variation observed at the level of DNA sequence. The introductory papers in the book review Malecot's life and his contributions to the theory of population genetics. Later chapters present recent developments in population genetics with particular emphasis on the theory of coalescents. They include discussions of methods for inferring past changes in population size and patterns of genetic exchange, for inferring the ages of individual mutations, and for analysing the relationships among closely linked genes.
The Common Bean Genome by Marcelino Pérez de la Vega,Marta Santalla,Frédéric Marsolais Pdf
This book provides insights into the genetics and the latest advances in genomics research on the common bean, offering a timely overview of topics that are pertinent for future developments in legume genomics. The common bean (Phaseolus vulgaris L.) is the most important grain legume crop for food consumption worldwide, as well as a model for legume research, and the availability of the genome sequence has completely changed the paradigm of the ongoing research on the species. Key topics covered include the numerous genetic and genomic resources, available tools, the identified genes and quantitative trait locus (QTL) identified, and there is a particular emphasis on domestication. It is a valuable resource for students and researchers interested in the genetics and genomics of the common bean and legumes in general.
An Introduction to Genetic Epidemiology by Palmer, Lyle J.,Burton, Paul R.,George Davey Smith Pdf
This book brings together leading experts to provide an introduction to genetic epidemiology that begins with a primer in human molecular genetics through all the standard methods in population genetics and genetic epidemiology required for an adequate grounding in the field.
Approaches to Gene Mapping in Complex Human Diseases by Jonathan L. Haines,Margaret A. Pericak-Vance Pdf
Overview of mapping common and genetically complex human disease traits (J. L. Haines, M. A. Pericak-Vance). Basic concepts in genetics (M. C. Speer). Defining disease phenotypes (A. S. Aylsworth). Basic concepts in linkage analysis ( M. A. Pericak-Vance). Determining the genetic component of a disease (L. A. Farrer, L. A. Cupples). Patient and family participation in genetic research studies (P. E. Cohen, C. Wolpert). Sample size and power (M. C. Speer). The collection of biological samples for DNA analysis (J. M. Vance). Methods of genotyping (J. M. Vance, K. B. Othmane). Database design for gene mapping studies (C. Haynes, C. Blach). Genomic screening (J. L. Haines). Lod score analysis (J. Xu, D. A. Meyers, M. A. Pericak-Vance). Sib pair analysis (D. E. Goldgar). Affected relative pair analysis (J. L. Haines). Linkage disequilibrium and allelic association (M. A. Pericak-Vance). Using public databases (J. L. Haines). Laboratory approaches toward gene identification (D. A. Marchuk). Examining complex genetic interactions (J. M. Schildkraut). Glossary. Appendix: useful websites for genetic analysis. Index.
