Statistical Genetics (eBook, ePUB)

Gene Mapping Through Linkage and Association
Redaktion: Neale, Benjamin; Posthuma, Danielle; Medland, Sarah; Ferreira, Manuel

• Format: ePub

Produktbeschreibung

Statistical Genetics focuses on conducting genetic linkage and association analysis in the post-genomic era. It covers established and new methodologies, providing the genetic and statistical theory on which they are based. Worked examples of important methods are given, as well as study design and sources of error.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 608
• Erscheinungstermin: 30. November 2007
• Englisch
• ISBN-13: 9781134129324
• Artikelnr.: 69994298

Inhaltsangabe

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