Leading researchers examine how behavior genetics provides crucial insights into genetic and environmental influences in the development of biobehavioral disorders. These influences are illustrated by using the examples of cardiovascular disease, obesity and eating disorders, alcohol use and abuse, and smoking behavior. Contributors discuss the relevance of molecular genetic approaches and twin and family designs to the complex field of behavior medicine research.

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.

Leading researchers examine how behavior genetics provides crucial insights into genetic and environmental influences in the development of biobehavioral disorders. These influences are illustrated by using the examples of cardiovascular disease, obesity and eating disorders, alcohol use and abuse, and smoking behavior. Contributors discuss the relevance of molecular genetic approaches and twin and family designs to the complex field of behavior medicine research.

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.