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Genetic and environmental covariation between autistic traits and behavioral problems

Hoekstra, Rosa A.; Bartels, Meike; Hudziak, James J.; Van Beijsterveldt, Toos C. E. M. and Boomsma, Dorret I. (2007). Genetic and environmental covariation between autistic traits and behavioral problems. Twin Research and Human Genetics, 10(6) pp. 853–860.

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Abstract

Objective: To examine the overlap between autistic traits and other behavioral problems in a general population sample, and explore the extent to which this overlap is due to genetic or environmental factors. Method: Youth Self Report (YSR) data were collected in a general population sample of 424 twin pairs at 18 years of age, and their non twin siblings. In 197 of these twin families, self-report ratings on the Autism-spectrum Quotient (AQ) were collected. Results: Stepwise backward regression analyses revealed that of all 8 YSR syndrome scales, the Withdrawn Behavior (WB) and Social Problems (SOC) scale were the most important predictors of AQ scores, and together with sex, explained 23% of the variance in AQ scores. Genetic structural equation modeling showed that the overlap between AQ and WB and SOC was mainly due to genetic effects. About half of the genetic variance in AQ scores was specific to the AQ, with the remaining half shared with genetic variance in WB and SOC. Conclusions: Endorsement of autistic traits in a general population sample is associated with social and withdrawn behavioral problems and these problems partly share a common genetic etiology with autistic traits. However, most of the variance in AQ scores remains unexplained by YSR scores, and half of the genetic variance in AQ is unshared with WB and SOC. These results indicate that autistic traits have specific characteristics that are substantially genetically independent from other common but related behavioral domains such as social problems and withdrawn behavior.

Item Type: Journal Article
ISSN: 1832-4274
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Life, Health and Chemical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Biomedical Research Network (BRN)
Item ID: 16158
Depositing User: Rosa Hoekstra
Date Deposited: 06 May 2009 09:26
Last Modified: 08 Oct 2016 01:45
URI: http://oro.open.ac.uk/id/eprint/16158
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