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Linkage Disequilibrium and Association Mapping
Analysis and Applications
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Main description:

As researchers continue to make enormous progress in mapping disease genes, exciting, novel, and complex analyses have emerged. In Linkage Disequilibrium and Association Mapping: Analysis and Applications, scientists from around the world, who are leaders in this field, contribute their vast experience and expertise to produce a comprehensive and fascinating text for researchers and clinicians alike.


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.


Feature:

Chapters written by world-renowned leaders in the field of gene-mapping


A clear synthesis of all important methodology that has been developed in tis complex research field


Cutting-edge analysis of the most up-to-date and preeminent information available


Back cover:

As researchers continue to make enormous progress in mapping disease genes, exciting, novel, and complex analyses have emerged. In Linkage Disequilibrium and Association Mapping: Analysis and Applications, scientists from around the world, who are leaders in this field, contribute their vast experience and expertise to produce a comprehensive and fascinating text for researchers and clinicians alike.


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.


Contents:

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 SNPbrowserâ„¢ 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).


PRODUCT DETAILS

ISBN-13: 9781588296696
Publisher: Springer (Humana Press)
Publication date: August, 2007
Pages: 255
Weight: 573g
Availability: Not available (reason unspecified)
Subcategories: Genetics
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