Evidence map›Paper›PMID 40357923›Full record

SynthesisPsychological medicine2025

Characterizing pleiotropy among bipolar disorder, schizophrenia, and major depression: a genome-wide cross-disorder meta-analysis.

Eleni Friligkou, Gita A Pathak, Daniel S Tylee, Antonella De Lillo, Dora Koller, Brenda Cabrera-Mendoza, Renato Polimanti

Abstract readMeta-Analysis
In one paragraph

Synthesis in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Differential Association of theInternational journal of molecular sciences · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Eleni FriligkouDepartment of Psychiatry, Yale School of Medicine, West Haven, CT, USA.
Gita A PathakDepartment of Psychiatry, Yale School of Medicine, West Haven, CT, USA.
Daniel S TyleeDepartment of Psychiatry, Yale School of Medicine, West Haven, CT, USA.
Antonella De LilloDepartment of Psychiatry, Yale School of Medicine, West Haven, CT, USA.
Dora KollerDepartment of Psychiatry, Yale School of Medicine, West Haven, CT, USA.
Brenda Cabrera-MendozaDepartment of Psychiatry, Yale School of Medicine, West Haven, CT, USA.
Renato PolimantiDepartment of Psychiatry, Yale School of Medicine, West Haven, CT, USA.ORCID 0000-0003-0745-6046

Funding

Leveraging genomic data to dissect the association of internalizing disorders with the risk, onset, and vulnerability of COVID-19RF1MH132337 · NIMH · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2022 to 2022
$3.7M
NIMH NIH HHS RF1 MH132337One Mind
6 · The paper itself

Abstract

backgroundTo understand the pathogenetic mechanisms shared among schizophrenia (SCZ), bipolar disorder (BP), and major depression (MDD), we investigated the pleiotropic mechanisms using large-scale genome-wide and brain transcriptomic data.

methodsWe analyzed SCZ, BP, and MDD genome-wide association datasets available from the Psychiatric Genomics Consortium using the PLEIO framework and characterized the pleiotropic loci identified using pathway and tissue enrichment analyses. Pleiotropic and disorder-specific loci were also assessed.

resultsOur pleiotropy-informed genome-wide analysis identified 553 variants that included 192 loci not reaching genome-wide significance in input datasets. These were enriched for five molecular pathways: cadherin signaling (

conclusionsGenetic mechanisms shared among SCZ, BP, and MDD appear to be related to early neuronal development. Because the genetic architecture of psychopathology transcends diagnostic boundaries, pleiotropy-focused analyses can lead to increased gene discovery and novel insights into relevant pathogenic mechanisms.

Indexed as

Bipolar DisorderGenetic PleiotropyMajor Depressive DisorderSchizophreniaGenome-Wide Association StudyHumansTranscriptomebipolar disorderdepressiongenetic correlationgenome-wide association studypleiotropyschizophrenia

Identifiers

PMID40357923
PMCPMC12094657

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Registered trials

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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.