Statistical genetics : gene mapping through linkage and association

Bibliographic Information

Statistical genetics : gene mapping through linkage and association

edited by Benjamin M. Neale ... [et al.]

Taylor & Francis, c2008

  • : pbk.

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Includes bibliographical references and index

Description and Table of Contents

Description

Has a problem-based approach that reinforces concepts with practical examples. Unique focus on genetic dissection through linkage and association, giving practical tutorial sessions on established and new methodologies and covering several software packages. Has an accompanying website, www.genemapping.org providing supplementary material, including scripts and links to download the software used in the book methodologies. Each chapter is written by an expert in the field, including practical tutorials by the authors of the software used.

Table of Contents

1. Introduction 2. DNA 3. Introduction to Biometrical Genetics 4. Introduction to Statistics 5. Statistical Power 6. Population Genetics and its Relevance to Gene Mapping 7. Principles of Linkage Analysis 8. IBD Estimation 9. Regression Methods for Linkage Analysis 10. Variance Components Linkage Analysis for Quantitative Traits 11. Extensions to Univariate Linkage Analysis 12. QTL Detection in Multivariate Data from Sibling Pairs 13. Factors Affecting Type I Error and Power of Linkage Analysis 14. Introduction to Association 15. Single-locus Association Models 16. Genome-wide Association 17. Haplotype Estimation 18. Multi-locus Association Models 19. Linkage Disequilibrium and Tagging 20. Haploview 21. Factors Affecting Type I Error and Power in Association 22. Resampling Approaches to Statistical Interference

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