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 König, 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.

After studying statistics and mathematics at the University of Munich and obtaining his doctoral degree from the University of Dortmund, Andreas Ziegler received the Johann-Peter-Süßmilch-Medal of the German Association for Medical Informatics, Biometry and Epidemiology for his post-doctoral work on "Model Free Linkage Analysis of Quantitative Traits" in 1999. In 2004, he was one of the recipients of the Fritz-Linder-Forum-Award from the German Association for Surgery. Andreas Ziegler is head of the Institute for Medical Biometry and Statistics at the University Clinic Schleswig-Holstein in Lübeck, an acknowledged center of excellence for genetic epidemiological methods. Currently he is President of the German Region of the International Biometric Society.

 

Inke R. König studied psychology at the universities of Marburg (Germany) as a scholar of the German National Academic Foundation and Dundee (Scotland) with a grant from the German Academic Exchange Service (DAAD). She has done research work at the Institute of Medical Biometry and Epidemiology in Marburg and since 2001 at the Institute of Medical Biometry and Statistics in Lübeck. In 2004, she became vice director of the latter and also received the Fritz-Linder-Forum-Award from the German Association for Surgery. Besides holding the certificate "Biometrics in Medicine", she has collected teaching experience since 1998 as a lecturer for biomathematics, behavioural genetics, clinical epidemiology, genetic epidemiology, and evidence-based medicine.

CHAPTER 1 Molecular genetics

CHAPTER 2 Formal genetics

CHAPTER 3 Genetic markers

CHAPTER 4 Data quality

CHAPTER 5 Genetic map distances

CHAPTER 6 Familiality, Heritability, and Segregation Analysis

CHAPTER 7 Model-based linkage analysis

CHAPTER 8 Model-Free Linkage Analysis for Dichotomous Traits

CHAPTER 9 Model-Free Linkage Analysis for Quantitative traits

CHAPTER 10 Fundamental concepts of association analyses

CHAPTER 11 Association analysis in unrelated individuals

CHAPTER 12 Association Analysis in Families

CHAPTER 13 Haplotypes in association analyses

CHAPTER 14 Genome-wide Association (GWA) studies