Evidence map›Paper›PMID 40617812›Full record

ArticleTranslational psychiatry2025

Neurobiological correlates of schizophrenia-specific and highly pleiotropic genetic risk scores for neuropsychiatric disorders.

Lydia M Federmann, Lisa Sindermann, Sabrina Primus, Federico Raimondo, Konrad Oexle, Janik Goltermann, Juliane Winkelmann, Markus M Nöthen, Katrin Amunts, Thomas W Mühleisen and 6 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Lydia M Federmann *Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany. l.federmann@fz-juelich.de.ORCID http://orcid.org/0009-0006-4500-2175
Lisa Sindermann *Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.
Sabrina PrimusInstitute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.ORCID http://orcid.org/0000-0003-0452-7718
Federico RaimondoInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany.ORCID http://orcid.org/0000-0003-4087-8259
Konrad OexleInstitute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.ORCID http://orcid.org/0000-0001-7447-2252
Janik GoltermannInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Juliane WinkelmannInstitute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-3074-599X
Markus M NöthenInstitute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.ORCID http://orcid.org/0000-0002-8770-2464
Katrin AmuntsInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany.ORCID http://orcid.org/0000-0001-5828-0867
Thomas W MühleisenInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany.ORCID http://orcid.org/0000-0002-6057-5952
Sven CichonInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany.
Simon B EickhoffInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany.
Felix HoffstaedterInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany.ORCID http://orcid.org/0000-0001-7163-3110
Udo DannlowskiInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Kaustubh R PatilInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany.
Andreas J ForstnerInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany. a.forstner@fz-juelich.de.ORCID http://orcid.org/0000-0002-1876-6368

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) grant FOR2107, project number DA1151/5-1, DA1151/5-2, DA1151/9-1, DA1151/10-1, DA1151/11-1Deutsche Forschungsgemeinschaft (German Research Foundation) grant SFB/TRR 393, project number 521379614
6 · The paper itself

Abstract

Neuropsychiatric disorders show shared and distinct neurobiological correlates. A cross-disorder genome-wide association study (GWAS) identified 23 highly pleiotropic single-nucleotide polymorphisms (SNPs) that were associated with at least four neuropsychiatric disorders, and 22 SNPs that were associated predominantly with schizophrenia. Exploring their link to brain-related traits might advance understanding their distinct neurobiological processes. Using the UK Biobank data (n = 28,952), this study examined the association of both a genetic risk score (GRS) for highly pleiotropic SNPs (PleioPsych-GRS), and a GRS for predominantly schizophrenia-associated SNPs (SCZ-GRS) with 154 measures of subcortical volume, cortical thickness, and surface area as well as 12 outcomes related to mental health. To generate further insights at the individual SNP level, the association between SNPs and brain structure was examined using GWAS summary statistics. The PleioPsych-GRS showed no significant association with brain structure after correction for multiple testing. The SCZ-GRS showed a significant association with an increased surface area of the lateral orbitofrontal region, and an increased volume of the putamen, among others. The PleioPsych-GRS and the SCZ-GRS were associated with eight and four outcomes related to mental health, respectively. Two highly pleiotropic and 10 SCZ-associated SNPs were associated with several structural brain phenotypes. Taken together, these findings indicated that GRSs of highly pleiotropic SNPs and predominantly schizophrenia-associated SNPs have partly distinct associations with brain structure and outcomes related to mental health. Thus, investigating schizophrenia-specific and pleiotropic variants may improve our understanding of the neurobiology of neuropsychiatric disorders.

Indexed as

BrainGenetic PleiotropySchizophreniaAdultFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMiddle AgedPolymorphism, Single NucleotideUnited Kingdom

Identifiers

PMID40617812
PMCPMC12228695

What Socratic holds

Textmetadata
LicenceCC BY
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.