Methodology for Genetic Studies of Twins and Families (original) (raw)
Overview
Authors:
- Michael C. Neale
- Department of Human Genetics, Medical College of Virginia, Virginia Commonwealth University, Richmond, USA
- Lon R. Cardon
- Institute for Behavioral Genetics, University of Colorado, Boulder, USA
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About this book
Few would dispute the truth of the statement `People are Different', but there is much controversy over _why._ This book authoritatively explains the methods used to understand human variation, and extends them far beyond the primary `nature or nurture' question. After chapters on basic statistics, biometrical genetics, matrix algebra and path analysis, there is a state-of-the-art account of how to fit genetic models using the LISREL package.
The authors explain not only the assumptions of the twin method, but how to test them. The elementary model is expanded to cover sex limitation, sibling interaction, multivariate and longitudinal data, observer ratings, and twin-family studies. Throughout, the methods are illustrated by applications to diverse areas such as obesity, major depression, alcohol comsumption, delinquency, allergies, and common fears.
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Keywords
Table of contents (18 chapters)
Authors and Affiliations
Department of Human Genetics, Medical College of Virginia, Virginia Commonwealth University, Richmond, USA
Michael C. Neale
Institute for Behavioral Genetics, University of Colorado, Boulder, USA
Lon R. Cardon
Bibliographic Information
- Book Title: Methodology for Genetic Studies of Twins and Families
- Authors: Michael C. Neale, Lon R. Cardon
- Series Title: NATO Science Series D:
- DOI: https://doi.org/10.1007/978-94-015-8018-2
- Publisher: Springer Dordrecht
- eBook Packages: Springer Book Archive
- Copyright Information: Springer Science+Business Media Dordrecht 1992
- Hardcover ISBN: 978-0-7923-1874-3Published: 31 July 1992
- Softcover ISBN: 978-90-481-4179-1Published: 05 December 2010
- eBook ISBN: 978-94-015-8018-2Published: 09 March 2013
- Series ISSN: 0258-123X
- Edition Number: 1
- Number of Pages: XXVI, 496
- Topics: Human Genetics, Methodology of the Social Sciences