Kooperativer Bibliotheksverbund

UID:

Umfang: 1 online resource (353 p.)

Ausgabe: 1st ed.

ISBN: 1-282-87895-6 , 9786612878954 , 0-12-375143-8

Inhalt: 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

Anmerkung: 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 , 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 , 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 , 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 , 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 , Normalization of SNP Genotyping Data forCNV Studies , English

Weitere Ausg.: ISBN 0-12-375142-X

Sprache: Englisch

UID:

Umfang: Online Ressource (viii, 331 p., [12] p. of plates) , illustrations (some color)

Ausgabe: Online-Ausg.

ISBN: 9781282878952 , 1282878956

Inhalt: 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

Inhalt: 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

Anmerkung: Includes bibliographical references and index. - Description based on print version record

Weitere Ausg.: ISBN 9781282878952

Weitere Ausg.: ISBN 1282878956

Weitere Ausg.: ISBN 9780123751423

Weitere Ausg.: ISBN 012375142X

Weitere Ausg.: ISBN 9780123751423

Weitere Ausg.: Erscheint auch als Druck-Ausgabe Analysis of complex disease association studies London : Academic, 2010 ISBN 9780123751423

Sprache: Englisch

Schlagwort(e): Electronic books

DOI: 10.1016/C2009-0-30500-0

URL: Volltext

URL: lizenzpflichtig

UID:

ISBN: 9780123751423 , 012375142X

Sprache: Englisch

URL: Volltext

UID:

ISBN: 9780123751423 , 012375142X

Sprache: Englisch

URL: Volltext