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 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

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  • Author : Eleftheria Zeggini
  • Publisher : Academic Press
  • Pages : 340 pages
  • ISBN : 9780123751430
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAnalysis of Complex Disease Association Studies

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 BOOKAnalysis 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 BOOKGenetic 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 : Bill Scott,Marylyn Ritchie
  • Publisher : John Wiley & Sons
  • Release : 14 December 2021
GET THIS BOOKGenetic Analysis of Complex Disease

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 Disease, 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

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 BOOKGenetic 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

JOINT ANALYSIS OF MULTIPLE PHENOTYPES IN ASSOCIATION STUDIES

JOINT ANALYSIS OF MULTIPLE PHENOTYPES IN ASSOCIATION STUDIES
  • Author : Anonim
  • Publisher : Unknown Publisher
  • Release : 09 December 2021
GET THIS BOOKJOINT 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 BOOKApplied 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.

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 BOOKGenetic 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

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 BOOKAssessing 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 Publisher
  • Release : 09 December 2021
GET THIS BOOKPrediction 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

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 BOOKGenetics 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

Discrete Algorithms for Analysis of Genotype Data

Discrete Algorithms for Analysis of Genotype Data
  • Author : Dumitru Brinza
  • Publisher : Unknown Publisher
  • Release : 09 December 2021
GET THIS BOOKDiscrete 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

Efficient Design and Analysis of Genome-wide Association Studies

Efficient Design and Analysis of Genome-wide Association Studies
  • Author : Emrah Kostem
  • Publisher : Unknown Publisher
  • Release : 09 December 2021
GET THIS BOOKEfficient 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