Analysis of Genetic Association Studies

This book PDF is perfect for those who love Medical genre, written by Gang Zheng and published by Springer Science & Business Media which was released on 11 January 2012 with total hardcover pages 414. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Analysis of Genetic Association Studies books below.

Analysis of Genetic Association Studies
Analysis of Genetic Association Studies
Author : Gang Zheng
File Size : 53,6 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 11 January 2012
ISBN : 9781461422457
Pages : 414 pages
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Analysis of Genetic Association Studies by Gang Zheng Book PDF Summary

Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, and professionals will find the topics introduced in Analysis of Genetic Association Studies particularly relevant. The book is applicable to the study of statistics, biostatistics, genetics and genetic epidemiology. In addition to providing derivations, the book uses real examples and simulations to illustrate step-by-step applications. Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary background knowledge. The organization of this work allows for both casual reference and close study.

Analysis of Genetic Association Studies

Analysis of Genetic Association Studies by Gang Zheng,Yaning Yang,Xiaofeng Zhu,Robert C. Elston

Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, and professionals will find the topics introduced in Analysis of Genetic Association Studies particularly relevant. The book is applicable to

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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 associations with observable traits (such as blood pressure or weight), or the presence or absence of a disease or condition.

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Analysis of Complex Disease Association Studies

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Genetics and genomic studies are changing the practice of medicine and public health and playing central roles in all biomedical sciences. New technologies and data resources such as the HapMap are enabling genome-wide studies which have the potential to identify a wide variety of common genetic determinants of human health,

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Genetic Association Studies Background Conduct Analysis Interpretation by Mehmet Tevfik Dorak

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

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This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects. Particular detail is given to the practical aspects of employing the bioinformatics and data handling methods necessary to prepare data for statistical analysis.

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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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Genetic Analysis of Complex Disease

Genetic Analysis of Complex Disease by William K. Scott,Marylyn D. Ritchie

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

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Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon. In this book, we document methods that

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