The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals
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 t...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Petrovska, Jana [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Schlagwörter: |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: Trends in on-site removal, treatment, and sensitive assay of common pharmaceuticals in surface waters - Kaya, S. Irem ELSEVIER, 2022, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:91 ; year:2017 ; pages:116-123 ; extent:8 |
| Links: |
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| DOI / URN: |
10.1016/j.jpsychires.2017.03.007 |
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| 245 | 1 | 4 | |a The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals |
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| 520 | |a 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. | ||
| 520 | |a 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. | ||
| 650 | 7 | |a DTI |2 Elsevier | |
| 650 | 7 | |a Depressive symptoms |2 Elsevier | |
| 650 | 7 | |a Gene set enrichment analysis |2 Elsevier | |
| 650 | 7 | |a MADRS |2 Elsevier | |
| 650 | 7 | |a Healthy participants |2 Elsevier | |
| 650 | 7 | |a NCAM1 Interactions |2 Elsevier | |
| 700 | 1 | |a Coynel, David |4 oth | |
| 700 | 1 | |a Fastenrath, Matthias |4 oth | |
| 700 | 1 | |a Milnik, Annette |4 oth | |
| 700 | 1 | |a Auschra, Bianca |4 oth | |
| 700 | 1 | |a Egli, Tobias |4 oth | |
| 700 | 1 | |a Gschwind, Leo |4 oth | |
| 700 | 1 | |a Hartmann, Francina |4 oth | |
| 700 | 1 | |a Loos, Eva |4 oth | |
| 700 | 1 | |a Sifalakis, Klara |4 oth | |
| 700 | 1 | |a Vogler, Christian |4 oth | |
| 700 | 1 | |a de Quervain, Dominique J.-F. |4 oth | |
| 700 | 1 | |a Papassotiropoulos, Andreas |4 oth | |
| 700 | 1 | |a Heck, Angela |4 oth | |
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10.1016/j.jpsychires.2017.03.007 doi GBV00000000000066A.pica (DE-627)ELV020630921 (ELSEVIER)S0022-3956(16)30768-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 540 VZ 35.23 bkl Petrovska, Jana verfasserin aut The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. 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. DTI Elsevier Depressive symptoms Elsevier Gene set enrichment analysis Elsevier MADRS Elsevier Healthy participants Elsevier NCAM1 Interactions Elsevier Coynel, David oth Fastenrath, Matthias oth Milnik, Annette oth Auschra, Bianca oth Egli, Tobias oth Gschwind, Leo oth Hartmann, Francina oth Loos, Eva oth Sifalakis, Klara oth Vogler, Christian oth de Quervain, Dominique J.-F. oth Papassotiropoulos, Andreas oth Heck, Angela oth Enthalten in Elsevier Science Kaya, S. Irem ELSEVIER Trends in on-site removal, treatment, and sensitive assay of common pharmaceuticals in surface waters 2022 Amsterdam [u.a.] (DE-627)ELV007548370 volume:91 year:2017 pages:116-123 extent:8 https://doi.org/10.1016/j.jpsychires.2017.03.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.23 Analytische Chemie: Allgemeines VZ AR 91 2017 116-123 8 045F 610 |
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10.1016/j.jpsychires.2017.03.007 doi GBV00000000000066A.pica (DE-627)ELV020630921 (ELSEVIER)S0022-3956(16)30768-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 540 VZ 35.23 bkl Petrovska, Jana verfasserin aut The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. 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. DTI Elsevier Depressive symptoms Elsevier Gene set enrichment analysis Elsevier MADRS Elsevier Healthy participants Elsevier NCAM1 Interactions Elsevier Coynel, David oth Fastenrath, Matthias oth Milnik, Annette oth Auschra, Bianca oth Egli, Tobias oth Gschwind, Leo oth Hartmann, Francina oth Loos, Eva oth Sifalakis, Klara oth Vogler, Christian oth de Quervain, Dominique J.-F. oth Papassotiropoulos, Andreas oth Heck, Angela oth Enthalten in Elsevier Science Kaya, S. Irem ELSEVIER Trends in on-site removal, treatment, and sensitive assay of common pharmaceuticals in surface waters 2022 Amsterdam [u.a.] (DE-627)ELV007548370 volume:91 year:2017 pages:116-123 extent:8 https://doi.org/10.1016/j.jpsychires.2017.03.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.23 Analytische Chemie: Allgemeines VZ AR 91 2017 116-123 8 045F 610 |
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10.1016/j.jpsychires.2017.03.007 doi GBV00000000000066A.pica (DE-627)ELV020630921 (ELSEVIER)S0022-3956(16)30768-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 540 VZ 35.23 bkl Petrovska, Jana verfasserin aut The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. 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. DTI Elsevier Depressive symptoms Elsevier Gene set enrichment analysis Elsevier MADRS Elsevier Healthy participants Elsevier NCAM1 Interactions Elsevier Coynel, David oth Fastenrath, Matthias oth Milnik, Annette oth Auschra, Bianca oth Egli, Tobias oth Gschwind, Leo oth Hartmann, Francina oth Loos, Eva oth Sifalakis, Klara oth Vogler, Christian oth de Quervain, Dominique J.-F. oth Papassotiropoulos, Andreas oth Heck, Angela oth Enthalten in Elsevier Science Kaya, S. Irem ELSEVIER Trends in on-site removal, treatment, and sensitive assay of common pharmaceuticals in surface waters 2022 Amsterdam [u.a.] (DE-627)ELV007548370 volume:91 year:2017 pages:116-123 extent:8 https://doi.org/10.1016/j.jpsychires.2017.03.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.23 Analytische Chemie: Allgemeines VZ AR 91 2017 116-123 8 045F 610 |
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10.1016/j.jpsychires.2017.03.007 doi GBV00000000000066A.pica (DE-627)ELV020630921 (ELSEVIER)S0022-3956(16)30768-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 540 VZ 35.23 bkl Petrovska, Jana verfasserin aut The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. 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. DTI Elsevier Depressive symptoms Elsevier Gene set enrichment analysis Elsevier MADRS Elsevier Healthy participants Elsevier NCAM1 Interactions Elsevier Coynel, David oth Fastenrath, Matthias oth Milnik, Annette oth Auschra, Bianca oth Egli, Tobias oth Gschwind, Leo oth Hartmann, Francina oth Loos, Eva oth Sifalakis, Klara oth Vogler, Christian oth de Quervain, Dominique J.-F. oth Papassotiropoulos, Andreas oth Heck, Angela oth Enthalten in Elsevier Science Kaya, S. Irem ELSEVIER Trends in on-site removal, treatment, and sensitive assay of common pharmaceuticals in surface waters 2022 Amsterdam [u.a.] (DE-627)ELV007548370 volume:91 year:2017 pages:116-123 extent:8 https://doi.org/10.1016/j.jpsychires.2017.03.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.23 Analytische Chemie: Allgemeines VZ AR 91 2017 116-123 8 045F 610 |
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10.1016/j.jpsychires.2017.03.007 doi GBV00000000000066A.pica (DE-627)ELV020630921 (ELSEVIER)S0022-3956(16)30768-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 540 VZ 35.23 bkl Petrovska, Jana verfasserin aut The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals 2017transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. 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. DTI Elsevier Depressive symptoms Elsevier Gene set enrichment analysis Elsevier MADRS Elsevier Healthy participants Elsevier NCAM1 Interactions Elsevier Coynel, David oth Fastenrath, Matthias oth Milnik, Annette oth Auschra, Bianca oth Egli, Tobias oth Gschwind, Leo oth Hartmann, Francina oth Loos, Eva oth Sifalakis, Klara oth Vogler, Christian oth de Quervain, Dominique J.-F. oth Papassotiropoulos, Andreas oth Heck, Angela oth Enthalten in Elsevier Science Kaya, S. Irem ELSEVIER Trends in on-site removal, treatment, and sensitive assay of common pharmaceuticals in surface waters 2022 Amsterdam [u.a.] (DE-627)ELV007548370 volume:91 year:2017 pages:116-123 extent:8 https://doi.org/10.1016/j.jpsychires.2017.03.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.23 Analytische Chemie: Allgemeines VZ AR 91 2017 116-123 8 045F 610 |
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Petrovska, Jana @@aut@@ Coynel, David @@oth@@ Fastenrath, Matthias @@oth@@ Milnik, Annette @@oth@@ Auschra, Bianca @@oth@@ Egli, Tobias @@oth@@ Gschwind, Leo @@oth@@ Hartmann, Francina @@oth@@ Loos, Eva @@oth@@ Sifalakis, Klara @@oth@@ Vogler, Christian @@oth@@ de Quervain, Dominique J.-F. @@oth@@ Papassotiropoulos, Andreas @@oth@@ Heck, Angela @@oth@@ |
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ncam1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals |
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The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals |
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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. |
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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. |
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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. |
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