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Statistical Genetics

Gene Mapping Through Linkage and Association

Edition:
1st
Author(s):
Benjamin Neale, Manuel Ferreira, Sarah Medland, Danielle Posthuma
ISBN:
9780415410403
Format:
Paperback
Publication Date:
December 06, 2007
Content Details:
332 pages
Language:
English

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  • About the Book

    Book Summary

    Statistical Genetics is an advanced textbook focusing on conducting genome-wide linkage and association analysis in order to identify the genes responsible for complex behaviors and diseases. Starting with an introductory section on statistics and quantitative genetics, it covers both established and new methodologies, providing the genetic and statistical theory on which they are based. Each chapter is written by leading researchers, who give the reader the benefit of their experience with worked examples, study design, and sources of error.

    The text can be used in conjunction with an associated website (www.genemapping.org) that provides supplementary material and links to downloadable software.

  • 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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