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A Swedish Population-Based Multivariate Twin Study of Externalizing Disorders.
Kenneth S Kendler1,2,3, Sara Larsson Lönn4, Hermine H Maes5,6
1Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Box 980126, Richmond, VA, USA. kendler@vcu.edu.
Registry data reveals a common genetic and environmental basis for an externalizing spectrum of disorders, including drug abuse (DA), criminal behavior (CB), and alcohol use disorders (AUD). While heritability is higher in females, shared environmental factors are stronger in males.
Area of Science:
- Psychiatry
- Behavioral Genetics
- Epidemiology
Background:
- Prior interview studies suggest an externalizing spectrum of disorders.
- The utility of objective registry data for detecting this spectrum is unexplored.
Purpose of the Study:
- To determine if an externalizing spectrum of disorders can be identified using objective registry data.
- To investigate the genetic and environmental influences underlying this spectrum.
Main Methods:
- Utilized data from 20,603 Swedish twin pairs.
- Extracted information on drug abuse (DA), criminal behavior (CB), and alcohol use disorders (AUD) from national medical, criminal, and pharmacy records.
- Applied multivariate twin modeling using the OpenMx package.
Main Results:
- A common pathway model indicated a latent liability to externalizing syndromes influenced by both genetic and shared environmental factors.
- Heritability was higher in females (76%) compared to males (62%), while shared environmental influences were stronger in males (23% vs. 3%).
- Drug abuse (DA) was the strongest index of liability, while criminal behavior (CB) was the weakest. Specific genetic and environmental influences were also identified for each disorder.
Conclusions:
- An externalizing spectrum, characterized by shared genetic and environmental influences, was identified in registry data.
- The nature of the externalizing spectrum and its contributing factors differed between sexes.
- The findings support a common liability model for externalizing disorders, with distinct sex-specific patterns of influence.
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