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The Resource Analysis of complex disease association studies, edited by Eleftheria Zeggini, Andrew Morris, (electronic book)

Analysis of complex disease association studies, edited by Eleftheria Zeggini, Andrew Morris, (electronic book)

Label
Analysis of complex disease association studies
Title
Analysis of complex disease association studies
Statement of responsibility
edited by Eleftheria Zeggini, Andrew Morris
Contributor
Subject
Language
eng
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. (good paragraph) 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. This book 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
Member of
Cataloging source
OPELS
Dewey number
616.042
Illustrations
illustrations
Index
no index present
LC call number
RB155.5
LC item number
.A53 2010
Literary form
non fiction
Nature of contents
dictionaries
Label
Analysis of complex disease association studies, edited by Eleftheria Zeggini, Andrew Morris, (electronic book)
Instantiates
Publication
Color
multicolored
Contents
Genetic architecture of complex disease -- Population genetics and linkage disequilibrium -- Genetic association study design -- Selection of SNPs -- Genotype calling -- Data handling -- Data quality control -- Single-locus tests of association for population-based studies -- Population structure -- Haplotype-based methods -- Interaction analyses -- Copy number variant analysis -- Analysis of family-based association studies -- Bioinformatics approaches -- Interpreting association signals -- Delineating association signals -- Case study: obesity -- Case study: rheumatoid arthritis
Control code
SD677829091
Dimensions
unknown
Extent
1 online resource.
Form of item
online
Isbn
9780123751423
Isbn Type
(ebk)
Specific material designation
remote
Label
Analysis of complex disease association studies, edited by Eleftheria Zeggini, Andrew Morris, (electronic book)
Publication
Color
multicolored
Contents
Genetic architecture of complex disease -- Population genetics and linkage disequilibrium -- Genetic association study design -- Selection of SNPs -- Genotype calling -- Data handling -- Data quality control -- Single-locus tests of association for population-based studies -- Population structure -- Haplotype-based methods -- Interaction analyses -- Copy number variant analysis -- Analysis of family-based association studies -- Bioinformatics approaches -- Interpreting association signals -- Delineating association signals -- Case study: obesity -- Case study: rheumatoid arthritis
Control code
SD677829091
Dimensions
unknown
Extent
1 online resource.
Form of item
online
Isbn
9780123751423
Isbn Type
(ebk)
Specific material designation
remote

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