United States
£ GBP
Linkage Disequilibrium and Association Mapping discusses the progress that has been made in the gene-mapping process. Chapters 1-2 present an overview and historical basis to the subject and introduce subsequent chapters within the relevant context. Chapters 3-5 review the characterization of the genome-wide linkage disequilibrium structure, an understanding of which underpins successful association mapping. Chapters 6-14 examine all aspects of disease association mapping methodology, from the genetic basis of complex traits, to study design, selection of marker panels, through alternative modeling approaches to statistical issues in the testing of significance. Finally, chapters 15-16 review the early successes for two diseases of great importance, asthma and type 2 diabetes.
LINKAGE DISEQUILIBRIUM AND ASSOCIATION MAPPING: ANALYSIS AND APPLICATIONS. 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(t) 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).
