ArticleTranslational psychiatry2021
Transcriptome-wide association study identifies new susceptibility genes and pathways for depression.
Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- Genome-wide meta-analysis, functional genomics and integrative analyses implicate new risk genes and therapeutic targets for anxiety disorders.Nature human behaviour · 2024Pooled it
- Convergent neuroimmune signaling underlying rapid antidepressant response to ketamine and psychedelics.Molecular psychiatry · 2026Article
- Associations of stable psychological traits with multi-omic subtypes of Alzheimer's dementia.Translational psychiatry · 2026Article
- Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression.Biological psychiatry · 2026Article
- Large-scale meta- and cross-trait analyses uncover shared genetic risk factors for IBS and psychiatric disorders.Frontiers in psychiatry · 2026Article
- The impact of parent-child relationship on adolescent social adjustment following childhood abuse: the moderation of the serotonergic multilocus genetic variation.Frontiers in psychiatry · 2026Article
- Investigating the shared genetic architecture between dry eye disease and multisite chronic pain.Frontiers in medicine · 2026Article
- Abnormal O-glycan sialylation in the mPFC contributes to depressive-like behaviors in male mice.Science advances · 2025Article
- Analysis of Genomic and Transcriptomic Data Revealed Key Genes and Processes in the Development of Major Depressive Disorder.International journal of molecular sciences · 2025Article
- Single-nucleus chromatin accessibility profiling identifies cell types and functional variants contributing to major depression.Nature genetics · 2025Article
- PSMB4: a potential biomarker and therapeutic target for depression, perspective from integration analysis of depression GWAS data and human plasma proteome.Translational psychiatry · 2025Article
- Integrative bioinformatics approach identifies novel drug targets for hyperaldosteronism, with a focus on SHMT1 as a promising therapeutic candidate.Scientific reports · 2025Article
- Investigating the causal role of circulating metabolites in major depressive disorder.General psychiatry · 2025Article
- Investigating the shared genetic architecture between depression and subcortical volumes.Nature communications · 2024Article
- Integration of estimated regional gene expression with neuroimaging and clinical phenotypes at biobank scale.PLoS biology · 2024Article
- A Single-Nucleus Transcriptome-Wide Association Study Implicates Novel Genes in Depression Pathogenesis.Biological psychiatry · 2024Article
- Investigating neonatal health risk variables through cell-type specific methylome-wide association studies.Clinical epigenetics · 2024Article
- Investigating the Mechanism of Chufan Yishen Formula in Treating Depression through Network Pharmacology and Experimental Verification.ACS omega · 2024Article
- A statistical method for image-mediated association studies discovers genes and pathways associated with four brain disorders.American journal of human genetics · 2024Article
- Whole Blood-based Transcriptional Risk Score for Nonobese Type 2 Diabetes Predicts Dynamic Changes in Glucose Metabolism.The Journal of clinical endocrinology and metabolism · 2023Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Depression is the most prevalent mental disorder with substantial morbidity and mortality. Although genome-wide association studies (GWASs) have identified multiple risk variants for depression, due to the complicated gene regulatory mechanisms and complexity of linkage disequilibrium (LD), the biological mechanisms by which the risk variants exert their effects on depression remain largely unknown. Here, we perform a transcriptome-wide association study (TWAS) of depression by integrating GWAS summary statistics from 807,553 individuals (246,363 depression cases and 561,190 controls) and summary-level gene-expression data (from the dorsolateral prefrontal cortex (DLPFC) of 1003 individuals). We identified 53 transcriptome-wide significant (TWS) risk genes for depression, of which 23 genes were not implicated in risk loci of the original GWAS. Seven out of 53 risk genes (B3GALTL, FADS1, TCTEX1D1, XPNPEP3, ZMAT2, ZNF501 and ZNF502) showed TWS associations with depression in two independent brain expression quantitative loci (eQTL) datasets, suggesting that these genes may represent promising candidates. We further conducted conditional analyses and identified the potential risk genes that driven the TWAS association signal in each locus. Finally, pathway enrichment analysis revealed biologically pathways relevant to depression. Our study identified new depression risk genes whose expression dysregulation may play a role in depression. More importantly, we translated the GWAS associations into risk genes and relevant pathways. Further mechanistic study and functional characterization of the TWS depression risk genes will facilitate the diagnostics and therapeutics for depression.
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