ArticleBiological psychiatry2026
Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression.
Article in Biological psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Intragenic deletions from whole genome sequencing of 1054 suicide deaths.Research square · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundMajor depression (MD) is the most common psychiatric disorder. However, despite having a significant genetic component, the underlying biological mechanisms remain poorly understood. Our analyses leveraged molecular quantitative trait loci (xQTL) data to identify molecular biomarkers for MD.
methodsWe used OPERA (Omics Pleiotropic Association) software to identify molecular phenotypes associated with MD through shared causal variants, using genome-wide association study (GWAS) summary statistics and xQTL data for 5 phenotypes in blood and brain tissues. The xQTL phenotypes were gene expression, DNA methylation, splicing variation, chromatin accessibility, and protein abundance.
resultsWe identified 939 genes in blood tissues and 607 genes in brain tissues associated with MD via at least 1 molecular phenotype. Drug targets were enriched in our significant genes in both tissues. A total of 23 genes showed associations via 3 or more molecular phenotypes, providing robust evidence for their causal role in MD and offering insights into their biomolecular mechanisms. These high-priority associations included genes that have been previously identified by GWASs of MD such as CDH13 and RAB27B as well as novel associations such as H6PD.
conclusionsOur results highlight promising new targets for biomarker and drug target identification and successfully expand on GWAS findings to identify novel associations with MD. However, our study took a broad approach using bulk brain and blood tissues. Future research should expand these analyses into cell- and region-specific contexts.
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.