Statistical Genetics: Gene Mapping Through Linkage and Association
Editat de Benjamin Neale, Manuel Ferreira, Sarah Medland, Danielle Posthumaen Limba Engleză Paperback – 6 dec 2007
The text can be used in conjunction with an associated website (www.genemapping.org) that provides supplementary material and links to downloadable software.
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Specificații
ISBN-13: 9780415410403
ISBN-10: 0415410401
Pagini: 606
Ilustrații: 150 black & white tables, 4 black & white halftones, 5 colour illustrations, 55 black & white line drawings
Dimensiuni: 174 x 246 x 33 mm
Greutate: 1.12 kg
Ediția:1
Editura: CRC Press
Colecția Taylor & Francis
ISBN-10: 0415410401
Pagini: 606
Ilustrații: 150 black & white tables, 4 black & white halftones, 5 colour illustrations, 55 black & white line drawings
Dimensiuni: 174 x 246 x 33 mm
Greutate: 1.12 kg
Ediția:1
Editura: CRC Press
Colecția Taylor & Francis
Public țintă
Postgraduate, Professional, and UndergraduateCuprins
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
Recenzii
"…well organized and is written and edited by enthusiastic experts. This will be a great starting place for anyone who wants to understand and, hopefully, get involved with research on the genetics of human complex traits." Twin Research and Human Genetics
Notă biografică
Neale, Benjamin; Ferreira, Manuel ; Medland, Sarah; Posthuma, Danielle
Descriere
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.