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📙 A Statistical Approach to Genetic Epidemiology: With Access to E-Learning Platform by Friedrich Pahlke, Second Edition by Prof. Dr. Andreas Ziegler, Dr. Inke R. Konig(auth.) — free download


This is the second edition of the successful textbook written by the prize-winning scientist Andreas Ziegler, former President of the German Chapter of the International Biometric Society, and Inke Konig, who has been teaching the subject over many years.

The book gives a comprehensive introduction into the relevant statistical methods in genetic epidemiology. The second edition is thoroughly revised, partly rewritten and includes now chapters on segregation analysis, twin studies and estimation of heritability. The book is ideally suited for advanced students in epidemiology, genetics, statistics, bioinformatics and biomathematics.

Like in the first edition the book contains many problems and solutions. However, it now comes with an optional e-learning course, created by Friedrich Pahlke and developed to complement the book. Both provide a unique support tool for teaching the subject.

E-learning CourseContent:
Chapter 1 Molecular Genetics (pages 1–19):
Chapter 2 Formal Genetics (pages 21–46):
Chapter 3 Genetic Markers (pages 47–66):
Chapter 4 Data Quality (pages 67–112):
Chapter 5 Genetic Map Distances (pages 113–124):
Chapter 6 Familiality, Heritability, and Segregation Analysis (pages 125–154):
Chapter 7 Model?Based Linkage Analysis (pages 155–188):
Chapter 8 Model?Free Linkage Analysis for Dichotomous Traits (pages 189–220):
Chapter 9 Model?Free Linkage Analysis for Quantitative Traits (pages 221–246):
Chapter 10 Fundamental Concepts of Association Analyses (pages 247–264):
Chapter 11 Association Analysis with Unrelated Individuals (pages 265–318):
Chapter 12 Association Analysis in Families (pages 319–347):
Chapter 13 Haplotypes in Association Analyses (pages 349–365):
Chapter 14 Genome?Wide Association Studies (pages 367–391):

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