Linkage Disequilibrium and Association Mapping : Analysis and Applications
- Hardback | 255 pages
- 160.02 x 226.06 x 25.4mm | 612.35g
- 30 Dec 2007
- Humana Press Inc.
- Totowa, NJ, United States
- 2007 ed.
- 23 Tables, black and white; 3 Illustrations, color; 32 Illustrations, black and white; XIV, 255 p. 35 illus., 3 illus. in color.
Other books in this series
14 Aug 2017
01 Apr 2006
01 Jun 2015
01 Oct 2010
21 Dec 2017
01 Apr 2012
12 Jun 2012
23 Aug 2016
08 Apr 2015
Back cover copy
The volume comprises four general sections: the first presents an overview and historical basis of the subject. The second section considers the developing methodology and recent findings from studies which have characterized the genome-wide linkage disequilibrium structure in enormous detail. The following section examines all aspects of disease association mapping methodology, and the final two chapters review the early successes in mapping genes involved in two of the most important human diseases: asthma and type 2 diabetes.
Table of contents
Chapter 1. Linkage disequilibrium and association mapping - an introduction. (Andrew Collins).
Chapter 2. A history of association mapping (Newton E Morton) .
Chapter 3. Linkage disequilibrium maps and location databases.(William Tapper).
Chapter 4. LDMAP: The construction of high-resolution linkage disequilibrium maps of the human genome. (Kuo T-Y, Lau W, Collins A).
Chapter 5. Linkage disequilibrium as a tool for detecting the signatures of selection. (Sarah Ennis) .
Chapter 6. The genetic basis of complex traits - rare variants or 'common gene common disease'? (Sudha K Iyengar, Robert C Elston ).
Chapter 7. Linkage Disequilibrium Mapping for Complex Disease Genes (Andrew DeWan, Robert J. Klein, Josephine Hoh).
Chapter 8. Linkage disequilibrium maps and disease association mapping (Nik Maniatis).
Chapter 9. Coalescent methods for fine-scale disease gene mapping (Andrew P. Morris).
Chapter 10. Family Based Linkage Disequilibrium Tests Using general pedigrees (Yin Yao Shugart, Lina Chen, Terri Beaty).
Chapter 11. Association studies using familial cases: an efficient strategy for identifying low penetrance disease alleles (Emily L. Webb, Richard S. Houlston).
Chapter 12. Association mapping using pooled DNA (Hsin-Chou Yang and Cathy S. J. Fann).
Chapter 13. Selecting SNPs for Association Studies with SNPbrowser (TM) Software (Francisco M. De La Vega)
Chapter 14. Avoiding false discoveries in association studies (Chiara Sabatti).
Chapter 15. Gene mapping in asthma related traits. (Tarja Laitinen).
Chapter 16. Identifying susceptibility variants for type 2 diabetes. (Eleftheria Zeggini and Mark I McCarthy).