UID:
almahu_9948025856602882
Format:
1 online resource (353 p.)
Edition:
1st ed.
ISBN:
1-282-87895-6
,
9786612878954
,
0-12-375143-8
Content:
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 pr
Note:
Description based upon print version of record.
,
Front Cover; Analysis of Complex Disease Association Studies; Copyright; Table of Contents; List of Contributors; Chapter 1 Genetic Architecture ofComplex Diseases; Introduction; Genetic Modeling: Twin, Adoption andFamily Studies; Disease Gene Mapping: Linkage Studies; Disease Gene Mapping: Association Studies; Conclusion; References; Chapter 2 Population Genetics and Linkage Disequilibrium; The Origin and Structure of Variation inThe Human Genome; Pair-Wise Measurement of LD; Predicted and Observed Patterns ofRecombination; The International HapMap Project; Conclusion; References
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Chapter 3 Genetic Association Study DesignConcepts and Scope of Association Studies; Population-Based Study Designs; Conclusions; References; Chapter 4 Tag SNP Selection; Introduction; Approaches; Tools; Genotyping Platforms; References; Chapter 5 Genotype Calling; Bias and Error in Genotype Calling; Genotyping Platforms; Normalization Algorithms; Genotype Calling From a Single Array; Genotype Calling of Multiple Arrays Simultaneously; Other Genotype Calling Algorithms; References; Chapter 6 Data Handling; References; Chapter 7 Data Quality Control; Introduction; Sample-based QC
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Marker-based QCFamily-based Studies; Post-analysis QC; Summary; References; Chapter 8 Single-locus Tests of Association for Population-based Studies; Introduction; Genetic Models; Covariates; Genome - wide Associations Studies and General Interpretation; Quantitative Traits; Conclusion; References; Chapter 9 Effects of Population Structure in Genome-wide Association Studies; Introduction; Genetic Structure of Populations; Effects of Population Structure on Standard Tests for Association; Analysis of Structured Populations; LINKS; References; Chapter 10 Genotype Imputation; Uses of Imputation
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Genotype Imputation MethodsSNP Tagging-Based Approaches; Hidden Markov Model-Based Approaches; Perspectives and Future Directions; References; Chapter 11 Haplotype Methods for Population-based Association Studies; Haplotype Reconstruction in Population-Based Association Studies; Population-Based Haplotype Association Analysis; Summary; References; Chapter 12 Gene-Gene Interaction and Epistasis; Introduction; What is ``Epistasis''?; ``Biological'' Epistasis; Statistical Epistasis; Two-Locus Quantitative Trait Models Incorporating Epistatic Interactions
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Test for Association Incorporating InteractionsTwo-Locus Binary Models Incorporating Interaction; Why Model Epistasis?; Strategies for Detecting Epistasis in Genome-WideAssociation Studies; Two-Stage Strategies to Detect Epistasis; Other Simple Tests for Gene-Gene Interaction; Higher-Order Interactions; More Sophisticated Approaches to Modeling and Detecting Interactions; Conclusions; Reference; Chapter 13 Copy Number Variant Association Studies; Introduction; The Value of CNV Association Studies; Differences Between SNP and CNV Association Studies; Normalization of CNV Intensity Data
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Normalization of SNP Genotyping Data forCNV Studies
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English
Additional Edition:
ISBN 0-12-375142-X
Language:
English
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