The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals. (August 2017)

• Record Type: Journal Article
• Authors: Petrovska, Jana; Coynel, David; Fastenrath, Matthias; Milnik, Annette; Auschra, Bianca; Egli, Tobias; Gschwind, Leo; Hartmann, Francina; Loos, Eva; Sifalakis, Klara; Vogler, Christian; de Quervain, Dominique J.-F.; Papassotiropoulos, Andreas; Heck, Angela
• Is Part Of: Journal of psychiatric research. Volume 91(2017)
• Page Start: 116
• Page End: 123
• Publication Date: 2017-08
• Subjects: NCAM1 Interactions -- Depressive symptoms -- MADRS -- Gene set enrichment analysis -- DTI -- Healthy participants; Psychiatry -- Periodicals; Mental Disorders -- Periodicals; Maladies mentales -- Périodiques; Psychiatry; Electronic journals; Periodicals; 616.89005
• DOI: 10.1016/j.jpsychires.2017.03.007
• Languages: English
• ISSNs: 0022-3956

Abstract

Abstract: Depressive symptoms exist on a continuum, the far end of which is found in depressive disorders. Utilizing the continuous spectrum of depressive symptoms may therefore contribute to the understanding of the biological underpinnings of depression. Gene set enrichment analysis (GSEA) is an important tool for the identification of gene groups linked to complex traits, and was applied in the present study on genome-wide association study (GWAS) data of depression scores and their brain-level structural correlates in healthy young individuals. On symptom level (i.e. depression scores), robust enrichment was identified for two gene sets: NCAM1 Interactions and Collagen Formation. Depression scores were also associated with decreased fractional anisotropy (FA) – a brain white matter property – within the forceps minor and the left superior temporal longitudinal fasciculus. Within each of these tracts, mean FA value of depression score-associated voxels was used as a phenotype in a subsequent GSEA. The NCAM1 Interactions gene set was significantly enriched in these tracts. By linking the NCAM1 Interactions gene set to depression scores and their structural brain correlates in healthy participants, the current study contributes to the understanding of the molecular underpinnings of depressive symptomatology. Highlights: Two gene sets are linked to depression scores in healthy individuals. Brain-level structural correlates of depression scores are identified. Brain-level correlates of depression scores are linked to the NCAM1 Interactions gene set.