Evidence map›Paper›PMID 39775833›Full record

ArticleJAMA psychiatry2025

Genetic Analysis of Retinal Cell Types in Neuropsychiatric Disorders.

Emanuel Boudriot, Marius Stephan, Finn Rabe, Lukasz Smigielski, Andrea Schmitt, Peter Falkai, Michael J Ziller, Moritz J Rossner, Philipp Homan, Sergi Papiol and 1 more

Abstract read
In one paragraph

Article in JAMA psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Review
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  10. 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

11 authors.

Emanuel BoudriotMax Planck Institute of Psychiatry, Munich, Germany.
Marius StephanDepartment of Psychiatry and Psychotherapy, Ludwig Maximilian University Hospital, Ludwig Maximilian University Munich, Munich, Germany.
Finn RabeDepartment of Adult Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Lukasz SmigielskiDepartment of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Andrea SchmittMax Planck Institute of Psychiatry, Munich, Germany.
Peter FalkaiMax Planck Institute of Psychiatry, Munich, Germany.
Michael J ZillerMax Planck Institute of Psychiatry, Munich, Germany.
Moritz J RossnerDepartment of Psychiatry and Psychotherapy, Ludwig Maximilian University Hospital, Ludwig Maximilian University Munich, Munich, Germany.
Philipp HomanDepartment of Adult Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Sergi PapiolMax Planck Institute of Psychiatry, Munich, Germany.
Florian J RaabeMax Planck Institute of Psychiatry, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: As an accessible part of the central nervous system, the retina provides a unique window to study pathophysiological mechanisms of brain disorders in humans. Imaging and electrophysiological studies have revealed retinal alterations across several neuropsychiatric and neurological disorders, but it remains largely unclear which specific cell types and biological mechanisms are involved. Objective: To determine whether specific retinal cell types are affected by genomic risk for neuropsychiatric and neurological disorders and to explore the mechanisms through which genomic risk converges in these cell types. Design, Setting, and Participants: This genetic association study combined findings from genome-wide association studies in schizophrenia, bipolar disorder, major depressive disorder, multiple sclerosis, Parkinson disease, Alzheimer disease, and stroke with retinal single-cell transcriptomic datasets from humans, macaques, and mice. To identify susceptible cell types, Multi-Marker Analysis of Genomic Annotation (MAGMA) cell-type enrichment analyses were applied and subsequent pathway analyses performed. The cellular top hits were translated to the structural level using retinal optical coherence tomography (acquired between 2009 and 2010) and genotyping data in the large population-based UK Biobank cohort study. Data analysis was conducted between 2022 and 2024. Main Outcomes and Measures: Cell type-specific enrichment of genetic risk loading for neuropsychiatric and neurological disorder traits in the gene expression profiles of retinal cells. Results: Expression profiles of amacrine cells (interneurons within the retina) were robustly enriched in schizophrenia genetic risk across mammalian species and in different developmental stages. This enrichment was primarily driven by genes involved in synapse biology. Moreover, expression profiles of retinal immune cell populations were enriched in multiple sclerosis genetic risk. No consistent cell-type associations were found for bipolar disorder, major depressive disorder, Parkinson disease, Alzheimer disease, or stroke. On the structural level, higher polygenic risk for schizophrenia was associated with thinning of the ganglion cell inner plexiform layer, which contains dendrites and synaptic connections of amacrine cells (B, -0.09; 95% CI, -0.16 to -0.03; P = .007; n = 36 349; mean [SD] age, 57.50 [8.00] years; 19 859 female [54.63%]). Higher polygenic risk for multiple sclerosis was associated with increased thickness of the retinal nerve fiber layer (B, 0.06; 95% CI, 0.02 to 0.10; P = .007; n = 36 371; mean [SD] age, 57.51 [8.00] years; 19 843 female [54.56%]). Conclusions and Relevance: This study provides novel insights into the cellular underpinnings of retinal alterations in neuropsychiatric and neurological disorders and highlights the retina as a potential proxy to study synaptic pathology in schizophrenia.

Indexed as

Mental DisordersRetinaAmacrine CellsAnimalsBipolar DisorderFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMajor Depressive DisorderMaleMiceMiddle AgedSchizophreniaTomography, Optical Coherence

Identifiers

PMID39775833
PMCPMC11883512

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.