SynthesisTranslational psychiatry2021
Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression.
Synthesis in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 31 citations in OpenAlex.
- Dysregulated adult hippocampal neurogenesis in major depressive disorder.Nature medicine · 2026Article
- NCOR2 represses MHC class I molecule expression to drive metastatic progression of breast cancer.Nature communications · 2026Article
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Integrative gene and isoform co-expression networks reveal regulatory rewiring in stress-related psychiatric disorders.iScience · 2025Article
- Proteomic Biomarkers as Mediators in the Association Between Air Pollution and Incident Depression and Anxiety: Evidence From the UK Biobank.Depression and anxiety · 2025Article
- Enhancing Transcriptomic Insights into Neurological Disorders Through the Comparative Analysis of Shapley Values.Current issues in molecular biology · 2024Article
- Elevated SCN11A concentrations associated with lower serum lipid levels in patients with major depressive disorder.Translational psychiatry · 2024Article
- Comprehensive transcriptomic meta-analysis unveils new responsive genes to methyl jasmonate and ethylene inHeliyon · 2024Article
- Investigating the Shared Genetic Etiology Between Parkinson's Disease and Depression.Journal of Parkinson's disease · 2024Article
- DNA methylation changes in association with trauma-focused psychotherapy efficacy in treatment-resistant depression patients: a prospective longitudinal study.European journal of psychotraumatology · 2024Article
- Multi-omics cannot replace sample size in genome-wide association studies.Genes, brain, and behavior · 2023Article
- Type 3 IP3 receptor: Its structure, functions, and related disease implications.Channels (Austin, Tex.) · 2023Review
- A sex-specific genome-wide association study of depression phenotypes in UK Biobank.Molecular psychiatry · 2023Article
- Investigating the shared genetic architecture and causal relationship between pain and neuropsychiatric disorders.Human genetics · 2023Article
- Identification of novel targets and pathways to distinguish suicide dependent or independent on depression diagnosis.Scientific reports · 2023Article
- Endo-Lysosomal and Autophagy Pathway and Ubiquitin-Proteasome System in Mood Disorders: A Review Article.Neuropsychiatric disease and treatment · 2023Review
- Co-expression network of mRNA and DNA methylation in first-episode and drug-naive adolescents with major depressive disorder.Frontiers in psychiatry · 2023Article
- Volumetric assessment of individual thalamic nuclei in patients with drug-naïve, first-episode major depressive disorder.Frontiers in psychiatry · 2023Article
- Integrative multi-omics landscape of fluoxetine action across 27 brain regions reveals global increase in energy metabolism and region-specific chromatin remodelling.Molecular psychiatry · 2022Article
- Transcriptome-wide and stratified genomic structural equation modeling identify neurobiological pathways shared across diverse cognitive traits.Nature communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.