Covering the latest developments, this advanced textbook is the first to focus on introducing the relevant statistical methods applied in this field. Written by the prize-winning scientist Andreas Ziegler, President of the German Region of the International Biometric Society, and Inke Konig, who contributes more than five years of teaching experience, this is ideal for epidemiologists, geneticists, statistics specialists, biomathematicians, and graduate students.
After providing a concise introduction to genetic fundamentals, the authors explain both linkage analysis and association analysis in detail. The textbook features more than 100 problems and solutions.
With a foreword by Robert C. Elston, Director, Division of Genetic and Molecular Epidemiology at the Case Western Reserve University, Cleveland, Ohio.

1 Molecular genetics 1
2 Formal genetics 17
3 Genetic markers 43
4 Data quality 55
5 Genetic map distances 75
6 Model-based linkage analysis 89
7 Model-free linkage analysis 121
8 Quantitative traits 155
9 Fundamental concepts of association analyses 187
10 Association analysis in unrelated individuals 199
11 Family-based association analysis 215
12 Haplotypes in association analyses 243
App. A Algorithms used in linkage analyses 263