'There are not so many books on statistical methods focused on genetic epidemiology. This contribution fills a gap with a good selection of topics presented in a concise format that will be useful for biostatisticians starting in the field and geneticists or epidemiologists that want to master the specialized statistics used in genetics' - "ISCB NEWS". Covering the latest developments, this advanced textbook introduces the relevant statistical methods applied in this field. This title provides a concise introduction to genetic fundamentals. It explains both linkage analysis and association analysis in detail. It features more than 100 problems and solutions. It includes a foreword by Robert C. Elston, Director, Division of Genetic and Molecular Epidemiology at the Case Western Reserve University, Cleveland, Ohio. Written by the prize-winning scientist Andreas Ziegler, President of the German Region of the International Biometric Society, and Inke Koenig, who contributes several years of teaching experience, this is an ideal text for all epidemiologists, geneticists, statistics specialists, biomathematicians, and graduate students.
Indice testuale
Foreword. Preface. Acnowledgments. 1. Molecular Genetics. 2. Formal Genetics. 3. Genetic Markers. 4. Data Quality. 5. Genetic Map Distances. 6. Model-Based Linkage Analysis. 7. Model-Free Linkage Analysis. 8. Quantitative Traits. 9. Fundamental Concepts of Association Analyses. 10. Association Analysis in Unrelated Individuals. 11. Family-Based Association Analysis. 12. Haplotypes in Association Analyses. Appendix: Algorithms Used in Linkage Analyses. Solutions. References. Index.
