Please cite this article as follows: van Grootheest DS, Boomsma DI, Hettema JM, Kendler KS. 2007. Heritability of Obsessive-Compulsive Symptom Dimensions. Am J Med Genet Part B 147B:473–478.
Heritability of obsessive-compulsive symptom dimensions†
Article first published online: 14 DEC 2007
Copyright © 2007 Wiley-Liss, Inc.
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Volume 147B, Issue 4, pages 473–478, 5 June 2008
How to Cite
van Grootheest, D. S., Boomsma, D. I., Hettema, J. M. and Kendler, K. S. (2008), Heritability of obsessive-compulsive symptom dimensions. Am. J. Med. Genet., 147B: 473–478. doi: 10.1002/ajmg.b.30622
- Issue published online: 20 MAY 2008
- Article first published online: 14 DEC 2007
- Manuscript Accepted: 14 AUG 2007
- Manuscript Received: 21 FEB 2007
- ZonMw. Grant Numbers: 920-03-268, 400-03-330
- obsessive-compulsive disorder;
- Padua Inventory;
- twin study;
- structural equation modeling
Recent research has shown that obsessive-compulsive symptoms (OCS) differ remarkably among patients and can be divided into several symptom dimensions. OCS are influenced by genetic components, but it is unknown to what extent these symptom dimensions are heritable. The phenotypic heterogeneity also raises the question to what extent the symptom dimensions are influenced by specific or shared genetic factors. We studied a population sample of 1,383 female twins from the Virginia Twin Registry. OCS was measured by a questionnaire with 20 items from the Padua Inventory. After factor analysis, three reliable OC symptom dimensions were retained: Rumination, Contamination, and Checking. These OC dimensions were analyzed with multivariate genetic models to investigate both the overlap and uniqueness of genetic and environmental contributions underlying OC symptom dimensions. The multivariate common pathway model provided the best description of the data. All symptom dimensions share variation with a latent common factor, that is, OC behavior. Variation in this common factor was explained by both genes (36%) and environmental factors (64%). Only the Contamination dimension was influenced by specific genes and seemed to be a relatively independent dimension. The results suggest that a broad OC behavioral phenotype exists, influenced by both genes and nonshared environment. In addition, we found evidence for specific genetic and environmental factors underlying the Contamination dimension. Use of the Contamination dimension could therefore provide a powerful approach for the detection of genetic susceptibility loci that contribute to OCS. © 2007 Wiley-Liss, Inc.