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Published Online: 1 July 2013

SLC6A15 rs1545843 and Depression: Implications From Brain Imaging Data

To the Editor: Major depression is a common neuropsychiatric disorder involving genetic components. A recent genome-wide association study identified a risk single-nucleotide polymorphism (SNP), rs1545843 in SLC6A15 (1), which encodes a sodium-dependent branched-chain amino acid transporter. The risk SNP also revealed associations with alterations in hippocampal volume, neuronal integrity, and SLC6A15 expression (1), but it remains unclear how rs1545843 affects brain development, causing deficits in a specific brain region and eventually leading to susceptibility to major depression.
An informative way of dissecting the functional role of the risk SNP is to test its associations with brain structures using in vivo MRI methods. We recruited 278 unrelated healthy Han Chinese individuals without alcohol dependence, mental disorders, drug abuse, or brain injury. Structural images were acquired using a 3-T Philips MRI scanner, and a voxel-based morphometry method was used to provide voxel-wise assessment of volumetric difference. Detailed information about the sample, MRI acquisition, image preprocessing, and genotyping methods are provided in the data supplement that accompanies the online edition of this letter. The effect of the genotype was examined using a linear regression at each voxel, adjusting for age, gender, and intracranial volume. Voxel-wise p values were corrected over the brain to control family-wise error rate.
We observed brain-wide significant association of rs1545843 with local gray matter volume in the median cingulate gyrus (family-wise error-corrected, voxel-wise p=0.031, cluster-wise p=0.0071, Figure 1). The cingulate cortex is a structurally heterogeneous brain region mainly involved in emotion and cognition processes (2), and deficits in patients with major depression have been frequently reported in this brain region. In addition, smaller regional gray matter volume of the cingulate gyrus has been observed in patients with major depression (3), although this has been more frequently reported in the anterior cingulate gyrus, while the median cingulate gyrus was rarely studied and the biological effects of this region on major depression are still unclear. However, we did not find a significant association in the hippocampus as described by Kohli et al. (1), and the discrepancy is possibly a result of sample difference. Patients with major depression and healthy comparison subjects were both evaluated in the Kohli et al. study, while we assessed only healthy individuals.
FIGURE 1. Brain-Wide Significant Association of rs1545843 With Gray Matter Volume in the Median Cingulate Gyrusa
a Voxels with uncorrected p<0.001 (i.e., voxels survive the cluster-forming threshold) are in blue. Lower p values have lighter blue color. Whole-brain family-wise error-corrected significant voxels are in yellow.
In summary, our results provide evidence for a potential role of rs1545843 in the brain, implying a possible pathophysiological mechanism underlying susceptibility to major depression, and further studies are warranted.

Supplementary Material

Supplementary Material (805_ds001.pdf)

References

1.
Kohli MA, Lucae S, Saemann PG, Schmidt MV, Demirkan A, Hek K, Czamara D, Alexander M, Salyakina D, Ripke S, Hoehn D, Specht M, Menke A, Hennings J, Heck A, Wolf C, Ising M, Schreiber S, Czisch M, Müller MB, Uhr M, Bettecken T, Becker A, Schramm J, Rietschel M, Maier W, Bradley B, Ressler KJ, Nöthen MM, Cichon S, Craig IW, Breen G, Lewis CM, Hofman A, Tiemeier H, van Duijn CM, Holsboer F, Müller-Myhsok B, Binder EB: The neuronal transporter gene SLC6A15 confers risk to major depression. Neuron 2011; 70:252–265
2.
Torta DM, Cauda F: Different functions in the cingulate cortex, a meta-analytic connectivity modeling study. Neuroimage 2011; 56:2157–2172
3.
van Tol MJ, van der Wee NJ, van den Heuvel OA, Nielen MM, Demenescu LR, Aleman A, Renken R, van Buchem MA, Zitman FG, Veltman DJ: Regional brain volume in depression and anxiety disorders. Arch Gen Psychiatry 2010; 67:1002–1011

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 805
PubMed: 23820837

History

Accepted: January 2013
Published online: 1 July 2013
Published in print: July 2013

Authors

Details

Ming Li, Ph.D.
From the State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China; the Center for Computational Systems Biology, School of Mathematical Sciences, Fudan University, Shanghai, China; and the Department of Computer Science, University of Warwick, Coventry, U.K.
Tian Ge, B.Sc.
From the State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China; the Center for Computational Systems Biology, School of Mathematical Sciences, Fudan University, Shanghai, China; and the Department of Computer Science, University of Warwick, Coventry, U.K.
Jianfeng Feng, Ph.D.
From the State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China; the Center for Computational Systems Biology, School of Mathematical Sciences, Fudan University, Shanghai, China; and the Department of Computer Science, University of Warwick, Coventry, U.K.
Bing Su, Ph.D.
From the State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China; the Center for Computational Systems Biology, School of Mathematical Sciences, Fudan University, Shanghai, China; and the Department of Computer Science, University of Warwick, Coventry, U.K.

Funding Information

The authors report no financial relationships with commercial interests.
Supplementary Material
Supported by the National Natural Science Foundation of China (grant U1202225).

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