Wiley-VCH, Weinheim A Statistical Approach to Genetic Epidemiology Cover The second edition of this very successful advanced textbook is thoroughly updated and significantly.. Product #: 978-3-527-32389-0 Regular price: $80.28 $80.28 In Stock

A Statistical Approach to Genetic Epidemiology

Concepts and Applications, with an e-learning platform

Ziegler, Andreas / König, Inke R.

Cover

2. Edition March 2010
XXIV, 498 Pages, Softcover
250 Pictures (50 Colored Figures)
Textbook

ISBN: 978-3-527-32389-0
Wiley-VCH, Weinheim

Short Description

The second edition of this very successful advanced textbook is thoroughly updated and significantly expanded. The title has again many problems and solutions and it comes now colour figures and optionally with a custom-developed e-learning course.

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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 and it comes now optionally with an e-learning course created by Friedrich Pahlke. This e-learning course has been developed to complement the book. Both provide a unique support tool for teaching the subject.

INTRODUCTORY GENETICS
Molecular Genetics
Formal Genetics
Genetic Markers
Data Quality
LINKAGE ANALYSIS AND FAMILY STUDIES
Genetic Map Distances
Model Based Linkage Analysis
Model Free Linkage Analysis for Binary Traits
Model Free Linkage Analysis for Quantitative Traits
Family Studies not Involving Genetic Markers
ASSOCIATION ANALYSIS
Fundamental Concepts of Association Analyses
Association Analysis with Unrelated Individuals
Family Based Association Analysis
Haplotypes
GWAs

Appendix
Solutions
References
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.

Friedrich Pahlke is Dipl. Inf. at the Institute for Medical Biometry and Statistics at the University Clinic Schleswig-Holstein in Lübeck. He has created the e-learning course which is optionally available with the book.

A. Ziegler, Institute for Medical Biometry and Statistics, University Hospital Schleswig-Holstein, Lübeck, Germany; I. R. König, Institute for Medical Biometry and Statistics, University Hospital Schleswig-Holstein, Lübeck, Germany