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Article Abstract

Depression is one of the most common mental health disorders worldwide, yet its neurobiological mechanisms remain poorly understood. Structural brain differences in subcortical limbic regions are thought to be implicated in the pathology of depression. We leveraged genome-wide association studies (GWAS) summary-level data to explore the molecular pathways underlying the relationship between genetic risk for depression and intracranial and subcortical brain volumes measured via magnetic resonance imaging. At the whole-genome level, we identified a negative genetic correlation (rG) between depression and the volume of the ventral diencephalon (rG = -0.08), which remained significant after adjusting for multiple testing. We observed nominal (< 0.05) positive genetic correlations between depression and the volumes of the caudate nucleus (rG = 0.06) and the putamen (rG = 0.06), while hippocampal volume displayed a negative genetic correlation (rG = -0.06) with depression. Pairwise GWAS analyses uncovered 104 genome segments with genetic variants influencing the aetiology of depression and at least one brain volume at the local genetic level. Gene association analyses of these genomic segments suggest putative links with dopamine neurotransmission, mesocorticolimbic functional connectivity, GABAergic transmission, and the insulin signalling pathway. Sensitivity analyses showed that the volume of the ventral diencephalon is also negatively correlated with bipolar disorder and schizophrenia; however, most of the genes associated with depression and brain volumes are specific for depression and do not replicate when investigating bipolar disorder or schizophrenia with brain volumes. We observed negative phenotypic correlations between depression and intracranial and subcortical brain volumes. Overall, our findings contribute to our understanding of the neurobiology of depression and suggest that, besides the known role of the hippocampus, other subcortical structures might also play essential roles in the aetiology of depression.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12327078PMC
http://dx.doi.org/10.1162/imag_a_00291DOI Listing

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