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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

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