Analysis of Complex Disease Association Studies

This book PDF is perfect for those who love Science genre, written by Eleftheria Zeggini and published by Academic Press which was released on 17 November 2010 with total hardcover pages 340. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Analysis of Complex Disease Association Studies books below.

Analysis of Complex Disease Association Studies
Author : Eleftheria Zeggini
File Size : 53,8 Mb
Publisher : Academic Press
Language : English
Release Date : 17 November 2010
ISBN : 0123751438
Pages : 340 pages
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Analysis of Complex Disease Association Studies by Eleftheria Zeggini Book PDF Summary

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

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.

Get Book
Genetic Analysis of Complex Disease

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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 this field, contribute their vast experience and expertise to produce a comprehensive and fascinating text for researchers and clinicians alike.

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Genetic Association Studies  Background  Conduct  Analysis  Interpretation

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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 that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available

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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 the pathology of many common diseases; enable better patient management and care; and help with differential diagnosis. It starts with

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Genetic Analysis of Complex Disease

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 based on successful applications in the design and execution of gene mapping projects. Chapters present clear and easily referenced overviews

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