Predicting genetic loading from symptom patterns in obsessive- compulsive disorder: a latent variable analysis.
Predicting genetic loading from symptom patterns in obsessive- compulsive disorder: a latent variable analysis.
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从强迫症症状模式预测遗传负荷:潜在变量分析。
DOI:
10.1002/da.20444
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发表时间:
2008
影响因子:
7.4
通讯作者:
Murphy,DennisL
中科院分区:
文献类型:
--
作者:
Schooler,Carmi;Revell,AndrewJ;Timpano,KiaraR;Wheaton,Michael;Murphy,DennisL
Background:Some symptom dimensions in obsessive‐compulsive disorder (OCD) patients have a familial and putative genetic foundation, based on replicated findings in studies of sib‐pairs with OCD. However, these symptom dimensions are all from exploratory factor analyses of Yale‐Brown Obsessive‐Compulsive Scale Symptom Checklist ratings based on non‐empirically derived symptom categories, rather than individual symptoms.Methods:In this study, we used a novel latent variable mixture model analysis to identify meaningful patient subgroupings. This was preceded by a confirmatory factor analysis of a 65‐item OCD symptom inventory from 398 OCD probands, which yielded a five‐factor solution. Data from all five symptom factors were used in a latent variable mixture model analysis, which identified two statistically separate OCD subpopulations.Results:One group of probands had a significantly higher proportion of OCD‐affected afflicted relatives (parents or close parental relatives), whereas the other group had a less prevalent familial OCD. The group with the more familial OCD was also found to have an earlier age of OCD onset, more severe OCD symptoms, and greater psychiatric comorbidity and impairment.Conclusions:Especially if the results are verified in other samples, this research paradigm, which identified characteristics of individuals with familial OCD, should prove useful in carrying out genome‐wide linkage and association studies of OCD and may provide a model for other symptom‐based studies of additional medical disorders. Depression and Anxiety 25:680–688, 2008. Published 2008 Wiley‐Liss, Inc.