Illustrated throughout with examples from the literature on cancer genetics. Statistical concepts are developed in depth, with a focus on applications.
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 determining whether 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 geneticmodel, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is orientedprimarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive 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 balance between epidemiologic study designs and statistical methods of data analysis.
1. Overview of genetic epidemiology ; 2. Basic concepts of molecular genetics ; 3. Principles of Mendelian inheritance ; 4. Basic epidemiologic and statistical principles ; 5. Familial aggregation ; 6. Segregation analysis ; 7. Linkage analysis ; 8. Principles of population genetics ; 9. Testing candidate gene associations ; 10. Linkage disequilibrium mapping ; 11. Gene characterization ; 12. Tying it all together: the genetic epidemiology of colorectal cancer ; Glossary