Evidence map›Paper›PMID 37881537›Full record

ArticleBiological psychiatry global open science2023

Pathway-Based Polygenic Risk Scores for Schizophrenia and Associations With Reported Psychotic-like Experiences and Neuroimaging Phenotypes in the UK Biobank.

Miruna C Barbu, Maria Viejo-Romero, Gladi Thng, Mark J Adams, Katie Marwick, Seth G N Grant, Andrew M McIntosh, Stephen M Lawrie, Heather C Whalley

Open access · goldAbstract read
In one paragraph

Article in Biological psychiatry global open science, 2023. 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
1.6field-weighted citation impact, top 16% of its field
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, 5 citations in OpenAlex.

  1. Review
  2. Review
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

9 authors at 2 institutions in 1 country.

Miruna C BarbuDivision of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
Maria Viejo-RomeroDivision of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
Gladi ThngDivision of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
Mark J AdamsDivision of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
Katie MarwickDivision of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
Seth G N GrantGenes to Cognition Program, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Andrew M McIntoshDivision of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
Stephen M LawrieDivision of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
Heather C WhalleyDivision of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
Royal Edinburgh Hospital · GBUniversity of Edinburgh · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Schizophrenia is a heritable psychiatric disorder with a polygenic architecture. Genome-wide association studies have reported that an increasing number of risk-associated variants and polygenic risk scores (PRSs) explain 17% of the variance in the disorder. Substantial heterogeneity exists in the effect of these variants, and aggregating them based on biologically relevant functions may provide mechanistic insight into the disorder. Methods: Using the largest schizophrenia genome-wide association study conducted to date, we associated PRSs based on 5 gene sets previously found to contribute to schizophrenia pathophysiology-postsynaptic density of excitatory synapses, postsynaptic membrane, dendritic spine, axon, and histone H3-K4 methylation-along with respective whole-genome PRSs, with neuroimaging ( Results: Several variables were significantly associated with the axon gene-set (psychotic-like communications, parahippocampal gyrus volume, fractional anisotropy thalamic radiations, and fractional anisotropy posterior thalamic radiations (β range -0.016 to 0.0916, false discovery rate-corrected Conclusions: Our results indicate that genetic variation in 3 gene sets relevant to schizophrenia may confer risk for the disorder through effects on previously implicated neuroimaging variables. Because associations were stronger overall for whole-genome PRSs, findings here highlight that selection of biologically relevant variants is not yet sufficient to address the heterogeneity of the disorder.

Indexed as

Biological pathwayNeuroimagingPathway-based polygenic risk scoresSchizophreniaSynaptic processesUK Biobank

Identifiers

PMID37881537
PMCPMC10593950
OpenAlexW4360954488

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.