Analysis of Complex Disease Association Studies

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  • Author : Eleftheria Zeggini
  • Publisher : Academic Press
  • Pages : 340 pages
  • ISBN : 9780123751430
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Analysis of Complex Disease Association Studies

Download or Read online Analysis of Complex Disease Association Studies full in PDF, ePub and kindle. this book written by Eleftheria Zeggini and published by Academic Press which was released on 17 November 2010 with total page 340 pages. We cannot guarantee that Analysis of Complex Disease Association Studies book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Analysis of Complex Disease Association Studies

Analysis of Complex Disease Association Studies
  • Author : Eleftheria Zeggini,Andrew Morris
  • Publisher : Academic Press
  • Release : 17 November 2010
GET THIS BOOK Analysis of Complex Disease Association Studies

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

Genetic Analysis of Complex Disease

Genetic Analysis of Complex Disease
  • Author : William K. Scott,Marylyn D. Ritchie
  • Publisher : John Wiley & Sons
  • Release : 11 November 2021
GET THIS BOOK Genetic Analysis of Complex Disease

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

Genetic Analysis of Complex Disease

Genetic Analysis of Complex Disease
  • Author : Jonathan L. Haines,Margaret A. Pericak-Vance
  • Publisher : John Wiley & Sons
  • Release : 05 May 2006
GET THIS BOOK Genetic Analysis of Complex Disease

Second Edition features the latest tools for uncovering thegenetic basis of human disease The Second Edition of this landmark publication bringstogether a team of leading experts in the field to thoroughlyupdate the publication. Readers will discover the tremendousadvances made in human genetics in the seven years that haveelapsed since the First Edition. Once again, the editorshave assembled a comprehensive introduction to the strategies,designs, and methods of analysis for the discovery of genes incommon and genetically complex traits. The growing

Genetic Association Studies Background Conduct Analysis Interpretation

Genetic Association Studies  Background  Conduct  Analysis  Interpretation
  • Author : Mehmet Tevfik Dorak
  • Publisher : Garland Science
  • Release : 28 September 2016
GET THIS BOOK Genetic Association Studies Background Conduct Analysis Interpretation

Genetic Association Studies is designed for students of public health, epidemiology, and the health sciecnes, covering the main principles of molecular genetics, population genetics, medical genetics, epidemiology and statistics. It presents a balanced view of genetic associations with coverage of candidate gene studies as well as genome-wide association studies. All aspects of a genetic association study are included, from the lab to analysis and interpretation of results, but also bioinformatics approaches to causality assessment. The role of the environment in

Genetics of Complex Disease

Genetics of Complex Disease
  • Author : Peter Donaldson,Ann Daly,Luca Ermini,Debra Bevitt
  • Publisher : Garland Science
  • Release : 25 August 2015
GET THIS BOOK Genetics of Complex Disease

Genetics of Complex Disease examines how the identification of genetic variations that increase or reduce the risk of common, genetically complex, diseases can be used to improve our understanding of the pathology of many common diseases; enable better patient management and care; and help with differential diagnosis. It starts with the quest

Linkage Disequilibrium and Association Mapping

Linkage Disequilibrium and Association Mapping
  • Author : Andrew Collins
  • Publisher : Springer Science & Business Media
  • Release : 29 November 2021
GET THIS BOOK Linkage Disequilibrium and Association Mapping

As researchers continue to make enormous progress in mapping disease genes, exciting, novel, and complex analyses have emerged. In "Linkage Disequilibrium and Association Mapping: Analysis and Applications," 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. The volume comprises four general sections: the first presents an overview and historical basis of the subject. The second section considers the developing methodology

Discrete Algorithms for Analysis of Genotype Data

Discrete Algorithms for Analysis of Genotype Data
  • Author : Dumitru Brinza
  • Publisher : Unknown
  • Release : 29 November 2021
GET THIS BOOK Discrete Algorithms for Analysis of Genotype Data

Accessibility of high-throughput genotyping technology makes possible genome-wide association studies for common complex diseases. When dealing with common diseases, it is necessary to search and analyze multiple independent causes resulted from interactions of multiple genes scattered over the entire genome. The optimization formulations for searching disease-associated risk/resistant factors and predicting disease susceptibility for given case-control study have been introduced. Several discrete methods for disease association search exploiting greedy strategy and topological properties of case-control studies have been developed. New

JOINT ANALYSIS OF MULTIPLE PHENOTYPES IN ASSOCIATION STUDIES

JOINT ANALYSIS OF MULTIPLE PHENOTYPES IN ASSOCIATION STUDIES
  • Author : Anonim
  • Publisher : Unknown
  • Release : 29 November 2021
GET THIS BOOK JOINT ANALYSIS OF MULTIPLE PHENOTYPES IN ASSOCIATION STUDIES

Abstract : Genome-wide association studies (GWAS) have become a very effective research tool to identify genetic variants of underlying various complex diseases. In spite of the success of GWAS in identifying thousands of reproducible associations between genetic variants and complex disease, in general, the association between genetic variants and a single phenotype is usually weak. It is increasingly recognized that joint analysis of multiple phenotypes can be potentially more powerful than the univariate analysis, and can shed new light on underlying

Applied Statistical Genetics with R

Applied Statistical Genetics with R
  • Author : Andrea S. Foulkes
  • Publisher : Springer Science & Business Media
  • Release : 28 April 2009
GET THIS BOOK Applied Statistical Genetics with R

Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R.

Computational Analyses of Complex Diseases at the Gene and Network Levels

Computational Analyses of Complex Diseases at the Gene and Network Levels
  • Author : Benjamin Christopher Lehne,King's College London. Guy's, King's and St. Thomas's School of Medicine. Division of Genetics & Molecular Medicine. Department of Medical & Molecular Genetics
  • Publisher : Unknown
  • Release : 29 November 2021
GET THIS BOOK Computational Analyses of Complex Diseases at the Gene and Network Levels

In this thesis I show how the integration of different bio-molecular datasets can generate a better understanding of complex disease and provide a mechanistic view of the underlying molecular processes. Genome-wide association studies (GWAS) proved successful in the identification of sequence variants associated with complex diseases. However, the necessity to apply stringent thresholds to ensure genome-wide significance suggests many associated variants might be missed. To incorporate variants with "suggestive" association signals I analysed GWAS data from the Wellcome Trust Case

Efficient Design and Analysis of Genome wide Association Studies

Efficient Design and Analysis of Genome wide Association Studies
  • Author : Emrah Kostem
  • Publisher : Unknown
  • Release : 29 November 2021
GET THIS BOOK Efficient Design and Analysis of Genome wide Association Studies

The recent advances in genomic technologies, have made it possible to collect large-scale information on genetic variation across a diverse biological landscape. This has resulted in an exponential influx of genetic information and the field of genetics has become data-rich in a relatively short amount of time. These developments have opened new avenues to elucidate the genetic basis of complex diseases, where the traditional disease study approaches had little success. In recent years, the genome-wide association study (GWAS) approach has

Assessing Rare Variation in Complex Traits

Assessing Rare Variation in Complex Traits
  • Author : Eleftheria Zeggini,Andrew Morris
  • Publisher : Springer
  • Release : 13 August 2015
GET THIS BOOK Assessing Rare Variation in Complex Traits

This book is unique in covering a wide range of design and analysis issues in genetic studies of rare variants, taking advantage of collaboration of the editors with many experts in the field through large-scale international consortia including the UK10K Project, GO-T2D and T2D-GENES. Chapters provide details of state-of-the-art methodology for rare variant detection and calling, imputation and analysis in samples of unrelated individuals and families. The book also covers analytical issues associated with the study of

Prediction of Genetic Susceptibility to Complex Diseases

Prediction of Genetic Susceptibility to Complex Diseases
  • Author : Weidong Mao
  • Publisher : Unknown
  • Release : 29 November 2021
GET THIS BOOK Prediction of Genetic Susceptibility to Complex Diseases

The accessibility of high-throughput biology data brought a great deal of attention to disease association studies. High density maps of single nucleotide polymorphism (SNP's) as well as massive genotype data with large number of individuals and number of SNP's become publicly available. By now most analysis of the new data is undertaken by the statistics community. In this dissertation, we pursue a different line of attack on genetic susceptibility to complex disease that adheres to the computer science community with

Permutation Testing for Isotonic Inference on Association Studies in Genetics

Permutation Testing for Isotonic Inference on Association Studies in Genetics
  • Author : Luigi Salmaso,Rosa Arboretti,Livio Corain,Dario Mazzaro
  • Publisher : Springer Science & Business Media
  • Release : 09 July 2011
GET THIS BOOK Permutation Testing for Isotonic Inference on Association Studies in Genetics

The purpose of this book is to illustrate a new statistical approach to test allelic association and genotype-specific effects in the genetic study of diseases. There are some parametric and non-parametric methods available for this purpose. We deal with population-based association studies, but comparisons with other methods will also be drawn, analysing the advantages and disadvantages of each one, particularly with regard to power properties with small sample sizes. In this framework we will work out some nonparametric statistical permutation