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 genetic model, 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 oriented primarily 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.Director of the Biostatistics Division Duncan C. Thomas Professor of Preventive Medicine, and Verna R. Richter Chair in Cancer Research University of Southern California Keck School of Medicineanbsp;...
|Title||:||Statistical Methods in Genetic Epidemiology|
|Author||:||Director of the Biostatistics Division Duncan C. Thomas Professor of Preventive Medicine, and Verna R. Richter Chair in Cancer Research University of Southern California Keck School of Medicine|
|Publisher||:||Oxford University Press, USA - 2004-01-21|