Human amygdala volume is predicted by common DNA variation in the stathmin and serotonin transporter genes

Stjepanovic,D., Lorenzetti, V., Yücel, M., Hawi, Z. and Bellgrove, Mark A. (2013) Human amygdala volume is predicted by common DNA variation in the stathmin and serotonin transporter genes. Translational Psychiatry, 3 e283.1-e283.6. doi:10.1038/tp.2013.41

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Author Stjepanovic,D.
Lorenzetti, V.
Yücel, M.
Hawi, Z.
Bellgrove, Mark A.
Title Human amygdala volume is predicted by common DNA variation in the stathmin and serotonin transporter genes
Journal name Translational Psychiatry   Check publisher's open access policy
ISSN 2158-3188
Publication date 2013-07-16
Year available 2013
Sub-type Article (original research)
DOI 10.1038/tp.2013.41
Open Access Status DOI
Volume 3
Start page e283.1
End page e283.6
Total pages 7
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Collection year 2014
Language eng
Formatted abstract
Despite the relevance of changes in amygdala volume to psychiatric illnesses and its heritability in both health and disease, the influence of common genetic variation on amygdala morphology remains largely unexplored. In the present study, we investigated the influence of a number of novel genetic variants on amygdala volume in 139 neurologically healthy individuals of European descent. Amygdala volume was significantly associated with allelic variation in the stathmin (STMN1) and serotonin transporter (SLC6A4) genes, which have been linked to healthy and disordered affective processing. These results were replicated across both manual and automated methods of amygdala parcellation, although manual tracing showed stronger effects, providing a cautionary note to studies relying on automated parcellation methods. Future studies will need to determine whether amygdala volume mediates the impact of stathmin and serotonin transporter gene variants on normal and dysfunctional emotion processing.
Keyword Amygdala
Genetics
Morphology
Oxytocin
Stathmin
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2014 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 25 Jul 2013, 12:59:33 EST by Debra McMurtrie on behalf of Queensland Brain Institute