Statistical Methods in Genetic Epidemiology by Duncan C. ThomasStatistical Methods in Genetic Epidemiology by Duncan C. Thomas

Statistical Methods in Genetic Epidemiology

byDuncan C. Thomas

Paperback | February 3, 2004

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This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determiningwhether a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in thepopulation. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as acomprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others. It strikes a good balancebetween epidemiologic study designs and statistical methods of data analysis.
Duncan C. Thomas is at University of Southern California School of Medicine.
Title:Statistical Methods in Genetic EpidemiologyFormat:PaperbackDimensions:464 pages, 6.3 × 9.29 × 1.18 inPublished:February 3, 2004Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:019515939X

ISBN - 13:9780195159394

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Table of Contents

1. Overview of Genetic Epidemiology2. Basic Concepts of Molecular Genetics3. Principles of Mendelian Inheritance4. Basic Epidemiological and Statistical Principles5. Familial Aggregation6. Segregation Analysis7. Linkage Analysis8. Principles of Population Genetics9. Testing Candidate Gene Associations10. Linkage Disequilibrium Mapping11. Gene Characterization12. Tying it all together: The Genetic Epidemiology of Colorectal CancerGlossary

Editorial Reviews

"This is a clear succinct tour of the analytical side of genetic epidemiology. There is a suitable balance of biology and statistical details and the text is well pitched for its target audience of graduate epidemiologists, biostatisticians, and human geneticists."--International Journal ofEpidemiology