Methodology for Genetic Studies of Twins and Families

Nonfiction, Health & Well Being, Medical, Medical Science, Genetics, Social & Cultural Studies, Social Science, Methodology
Cover of the book Methodology for Genetic Studies of Twins and Families by M. Neale, L.R. Cardon, Springer Netherlands
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Author: M. Neale, L.R. Cardon ISBN: 9789401580182
Publisher: Springer Netherlands Publication: March 9, 2013
Imprint: Springer Language: English
Author: M. Neale, L.R. Cardon
ISBN: 9789401580182
Publisher: Springer Netherlands
Publication: March 9, 2013
Imprint: Springer
Language: English

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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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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