Statistical Genetics

Gene Mapping Through Linkage and Association

Häftad, Engelska, 2007

AvBenjamin Neale,Manuel Ferreira,Sarah Medland,Danielle Posthuma,USA) Neale, Benjamin (Center for Human Genetic Research,USA) Ferreira, Manuel (Center for Human Genetic Research,USA) Medland, Sarah (Virginia Commonwealth University,The Netherlands) Posthuma, Danielle (Vrije University

1 729 kr

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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.

Produktinformation

Utgivningsdatum2007-12-06
Mått174 x 246 x 39 mm
Vikt1 120 g
FormatHäftad
SpråkEngelska
Antal sidor606
FörlagTaylor & Francis Ltd
ISBN9780415410403

Tillhör följande kategorier

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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