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 König, 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.
INTRODUCTORY GENETICS
Molecular Genetics
Formal Genetics
Genetic Markers
Data Quality
LINKAGE ANALYSIS
Genetic Map Distances
Model Based Linkage Analysis
Model Free Linkage Analysis for Dichotomous Traits
Model Free Linkage Analysis for Quantitative Traits
ASSOCIATION ANALYSIS
Fundamental Concepts
Case-Control Association Analysis
Family-Based Association Analysis
Haplotypes in Association Analyses
Appendix: Algorithms Used in Linkage Analyses
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.
INTRODUCTORY GENETICS
Molecular Genetics
Formal Genetics
Genetic Markers
Data Quality
LINKAGE ANALYSIS
Genetic Map Distances
Model Based Linkage Analysis
Model Free Linkage Analysis for Dichotomous Traits
Model Free Linkage Analysis for Quantitative Traits
ASSOCIATION ANALYSIS
Fundamental Concepts
Case-Control Association Analysis
Family-Based Association Analysis
Haplotypes in Association Analyses
Appendix: Algorithms Used in Linkage Analyses