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Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression

Major depressive disorder (MDD) is the most prevalent psychiatric disorder worldwide and affects individuals of all ages. It causes significant psychosocial impairments and is a major cause of disability. A recent consortium study identified 102 genetic variants and 269 genes associated with depress...

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Autores principales: Wu, Wennie, Howard, Derek, Sibille, Etienne, French, Leon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791035/
https://www.ncbi.nlm.nih.gov/pubmed/33414381
http://dx.doi.org/10.1038/s41398-020-01127-3
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author Wu, Wennie
Howard, Derek
Sibille, Etienne
French, Leon
author_facet Wu, Wennie
Howard, Derek
Sibille, Etienne
French, Leon
author_sort Wu, Wennie
collection PubMed
description Major depressive disorder (MDD) is the most prevalent psychiatric disorder worldwide and affects individuals of all ages. It causes significant psychosocial impairments and is a major cause of disability. A recent consortium study identified 102 genetic variants and 269 genes associated with depression. To provide targets for future depression research, we prioritized these recently identified genes using expression data. We examined the differential expression of these genes in three studies that profiled gene expression of MDD cases and controls across multiple brain regions. In addition, we integrated anatomical expression information to determine which brain regions and transcriptomic cell types highly express the candidate genes. We highlight 12 of the 269 genes with the most consistent differential expression: MANEA, UBE2M, CKB, ITPR3, SPRY2, SAMD5, TMEM106B, ZC3H7B, LST1, ASXL3, ZNF184 and HSPA1A. The majority of these top genes were found to have sex-specific differential expression. We place greater emphasis on ZNF184 as it is the top gene in a more conservative analysis of the 269. Specifically, the differential expression of ZNF184 was strongest in subcortical regions in males and females. Anatomically, our results suggest the importance of the dorsal lateral geniculate nucleus, cholinergic, monoaminergic and enteric neurons. These findings provide a guide for targeted experiments to advance our understanding of the genetic underpinnings of depression.
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spelling pubmed-77910352021-01-15 Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression Wu, Wennie Howard, Derek Sibille, Etienne French, Leon Transl Psychiatry Article Major depressive disorder (MDD) is the most prevalent psychiatric disorder worldwide and affects individuals of all ages. It causes significant psychosocial impairments and is a major cause of disability. A recent consortium study identified 102 genetic variants and 269 genes associated with depression. To provide targets for future depression research, we prioritized these recently identified genes using expression data. We examined the differential expression of these genes in three studies that profiled gene expression of MDD cases and controls across multiple brain regions. In addition, we integrated anatomical expression information to determine which brain regions and transcriptomic cell types highly express the candidate genes. We highlight 12 of the 269 genes with the most consistent differential expression: MANEA, UBE2M, CKB, ITPR3, SPRY2, SAMD5, TMEM106B, ZC3H7B, LST1, ASXL3, ZNF184 and HSPA1A. The majority of these top genes were found to have sex-specific differential expression. We place greater emphasis on ZNF184 as it is the top gene in a more conservative analysis of the 269. Specifically, the differential expression of ZNF184 was strongest in subcortical regions in males and females. Anatomically, our results suggest the importance of the dorsal lateral geniculate nucleus, cholinergic, monoaminergic and enteric neurons. These findings provide a guide for targeted experiments to advance our understanding of the genetic underpinnings of depression. Nature Publishing Group UK 2021-01-04 /pmc/articles/PMC7791035/ /pubmed/33414381 http://dx.doi.org/10.1038/s41398-020-01127-3 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wu, Wennie
Howard, Derek
Sibille, Etienne
French, Leon
Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression
title Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression
title_full Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression
title_fullStr Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression
title_full_unstemmed Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression
title_short Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression
title_sort differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791035/
https://www.ncbi.nlm.nih.gov/pubmed/33414381
http://dx.doi.org/10.1038/s41398-020-01127-3
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