ArticleMolecular psychiatry2022
Identifying causal genes for depression via integration of the proteome and transcriptome from brain and blood.
Article in Molecular psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 3 of them syntheses that pooled it.
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
88 citing papers in PubMed, 3 syntheses or guidelines pooled it, 120 citations in OpenAlex.
- Potential drug targets for chronic obstructive pulmonary disease in the plasma proteome identified through Mendelian randomization.BMC pulmonary medicine · 2025Pooled it
- Cross-ancestry genome-wide association study and systems-level integrative analyses implicate new risk genes and therapeutic targets for depression.Nature human behaviour · 2025Pooled it
- Identification ofDepression and anxiety · 2025Pooled it
- Association Between Ticagrelor and Glucose Homeostasis Regulation: Insights from Genetic and Transcriptomic Analyses.Biochemical genetics · 2026Article
- Social disconnection integrates genetic and proteomic risks in suicidal ideation and depression.Translational psychiatry · 2026Article
- Convergent genetic pathways linking neuropsychiatric and ocular disorders in children.Journal of child psychology and psychiatry, and allied disciplines · 2026Article
- Cross-ancestry pleiotropic analysis of imaging-derived phenotypes enhances risk stratification of depression.Molecular psychiatry · 2026Article
- Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression.Biological psychiatry · 2026Article
- Leveraging the genetics of psychiatric disorders to prioritize potential drug targets and compounds.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Shared genetic architecture between obesity and psychiatric disorders reveals comorbid etiology and therapeutic targets.Life medicine · 2026Article
- Unveiling novel drug targets for atherosclerosis: A Mendelian randomization analysis.Medicine · 2026Article
- Article
- Fibroblast-derived HSD11B1 deficiency drives lung cancer in never-smokers through steroid metabolic imbalance.NPJ precision oncology · 2026Article
- Shared genetic architecture between Alzheimer's disease and psychiatric disorders revealed by multi-trait genome-wide analyses.BMC medical genomics · 2026Article
- From collapse to comeback: Luteolin rejuvenates nucleus pulposus progenitor cells via SIRT1/ATF5-UPRmt to reverse intervertebral disc degeneration cascade.Stem cell research & therapy · 2026Article
- Gmppb-mutant mice exhibit dystroglycanopathy symptoms that are rescued with GSK3β inhibition or AAV-mediated GMPPB gene replacement.Nature communications · 2026Article
- Genetic link between metabolic syndrome and coronary artery disease: Insights from genome-wide cross-trait analysis.Global medical genetics · 2026Article
- A potential drug target in epilepsy and its role in other neurological disorders.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Genetic Evidence Reveals Causal Effect of Circulating Proteome on Random Glucose: A Mendelian Randomization Study.Journal of diabetes research · 2026Article
- Effects of transmembrane protein 106B genetic variations on disease progression in Parkinson's disease.Frontiers in aging neuroscience · 2026Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWASs) have identified numerous risk genes for depression. Nevertheless, genes crucial for understanding the molecular mechanisms of depression and effective antidepressant drug targets are largely unknown. Addressing this, we aimed to highlight potentially causal genes by systematically integrating the brain and blood protein and expression quantitative trait loci (QTL) data with a depression GWAS dataset via a statistical framework including Mendelian randomization (MR), Bayesian colocalization, and Steiger filtering analysis. In summary, we identified three candidate genes (TMEM106B, RAB27B, and GMPPB) based on brain data and two genes (TMEM106B and NEGR1) based on blood data with consistent robust evidence at both the protein and transcriptional levels. Furthermore, the protein-protein interaction (PPI) network provided new insights into the interaction between brain and blood in depression. Collectively, four genes (TMEM106B, RAB27B, GMPPB, and NEGR1) affect depression by influencing protein and gene expression level, which could guide future researches on candidate genes investigations in animal studies as well as prioritize antidepressant drug targets.
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.