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Article details
Title
Genetic pathways to posttraumatic stress disorder and depression in children: Investigation of catechol-O-methyltransferase (COMT) Val158Met using different PTSD diagnostic models
Published in
Journal of Psychiatric Research, March 2018
DOI 10.1016/j.jpsychires.2018.03.014
Pubmed ID
Authors
Abstract

The catechol-O-methyltransferase (COMT) Val158Met polymorphism has been linked to PTSD, although findings have been inconsistent. Recently, different diagnostic criteria for PTSD have been introduced by ICD-11 and DSM-5, including separate criteria for adults and for young children (i.e., the preschool criteria). The preschool criteria may be applicable to older children as well. This study is the first to examine COMT associations with depression and PTSD, using new diagnostic models, in school-age children (7-11 years) exposed to a natural disaster. Children (n = 115) provided saliva samples for genotyping and completed measures assessing disaster exposure, posttraumatic stress, and depressive symptoms. COMT Met allele carriers were at risk for PTSD, but only when using ICD-11 (OR = 6.99) or the preschool criteria (OR = 4.77); there was a trend for DSM-IV and no association for DSM-5 (adult criteria). However, all children agreed upon as having PTSD by both DSM-5 and ICD-11 were Met allele carriers. The genetic association between the COMT Met allele and PTSD seemed primarily driven by arousal symptoms, as a significant relationship emerged only for the PTSD arousal symptom cluster. In contrast, COMT Val allele homozygosity was associated with depression (OR = 4.34). Thus, findings suggest that opposing COMT genotypes increased vulnerability to depressive versus arousal-based clinical presentations following trauma exposure. As a result, the heterogeneity of the DSM-5 PTSD criteria and its inclusion of depressive symptoms may mask COMT associations with DSM-5 PTSD. Future research should consider how the use of different diagnostic models of PTSD may influence genetic findings.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 15%
Student > Master 7 13%
Student > Bachelor 4 7%
Student > Postgraduate 4 7%
Professor 3 6%
Other 7 13%
Unknown 21 39%
Readers by discipline
Readers by discipline Count As %
Psychology 13 24%
Medicine and Dentistry 5 9%
Nursing and Health Professions 3 6%
Social Sciences 3 6%
Neuroscience 3 6%
Other 6 11%
Unknown 21 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2025.
All research outputs
#26,453,351
of 31,758,295 outputs
Outputs from Journal of Psychiatric Research
#3,685
of 4,480 outputs
Outputs of similar age
#287,701
of 359,238 outputs
Outputs of similar age from Journal of Psychiatric Research
#53
of 76 outputs
Altmetric has tracked 31,758,295 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,480 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.