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Summary of Analysis of Complex Disease Association Studies by Eleftheria Zeggini 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


Detail About Analysis of Complex Disease Association Studies PDF

  • Author : Eleftheria Zeggini
  • Publisher : Academic Press
  • Genre : Science
  • Total Pages : 340 pages
  • ISBN : 9780123751430
  • PDF File Size : 41,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Analysis of Complex Disease Association Studies

Analysis of Complex Disease Association Studies
  • Publisher : Academic Press
  • File Size : 23,6 Mb
  • Release Date : 17 November 2010
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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

Genetic Analysis of Complex Disease

Genetic Analysis of Complex Disease
  • Publisher : John Wiley & Sons
  • File Size : 41,5 Mb
  • Release Date : 11 November 2021
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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

Applied Statistical Genetics with R

Applied Statistical Genetics with R
  • Publisher : Springer Science & Business Media
  • File Size : 45,5 Mb
  • Release Date : 28 April 2009
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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

Genetics of Complex Disease

Genetics of Complex Disease
  • Publisher : Garland Science
  • File Size : 30,6 Mb
  • Release Date : 25 August 2015
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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

Genetic Analysis of Complex Disease

Genetic Analysis of Complex Disease
  • Publisher : Wiley-Liss
  • File Size : 51,9 Mb
  • Release Date : 05 May 2006
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Provides a comprehensive introduction to the various strategies, designs, and methods of analysis for the study of human genetic disease. It offers a broad-based understanding of the problems and solutions

Linkage Disequilibrium and Association Mapping

Linkage Disequilibrium and Association Mapping
  • Publisher : Springer Science & Business Media
  • File Size : 41,7 Mb
  • Release Date : 05 February 2008
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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

Genetic Dissection of Complex Traits

Genetic Dissection of Complex Traits
  • Publisher : Academic Press
  • File Size : 23,8 Mb
  • Release Date : 23 April 2008
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The field of genetics is rapidly evolving and new medical breakthroughs are occuring as a result of advances in knowledge of genetics. This series continually publishes important reviews of the

Genome-Wide Association Studies

Genome-Wide Association Studies
  • Publisher : Cambridge University Press
  • File Size : 21,5 Mb
  • Release Date : 14 January 2016
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Experts from academia and industry highlight the potential of genome-wide association studies from basic science to clinical and biotechnological/pharmaceutical applications.

Analysis of Multifactorial Diseases

Analysis of Multifactorial Diseases
  • Publisher : Academic Press
  • File Size : 48,6 Mb
  • Release Date : 29 November 2000
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Multifactorial diseases are genetic diseases influenced by more than one gene. As such, they are either inherited from parents or caused by mutation. Examples include common cancers, Alzeimer's, epilepsy, diabetes,