Evidence map›Paper›PMID 40579369›Full record

ArticleSchizophrenia bulletin2026

Exploration of Genetic Overlap of Brain Phenotypes With Schizophrenia: Different Methods Provide Complementary Insights.

Xiao Wu, Pravesh Parekh, Bochao Danae Lin, Lotta-Katrin Pries, Sinan Guloksuz, Bart P F Rutten, Ole A Andreassen, David E J Linden, Dennis van der Meer

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Xiao WuDepartment of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, 6200 MD, The Netherlands.
Pravesh ParekhCentre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, 0316, Norway.ORCID 0000-0002-1930-1167
Bochao Danae LinDepartment of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, 6200 MD, The Netherlands.
Lotta-Katrin PriesDepartment of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, 6200 MD, The Netherlands.
Sinan GuloksuzDepartment of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, 6200 MD, The Netherlands.
Bart P F RuttenDepartment of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, 6200 MD, The Netherlands.
Ole A AndreassenCentre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, 0316, Norway.
David E J LindenDepartment of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, 6200 MD, The Netherlands.
Dennis van der MeerDepartment of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, 6200 MD, The Netherlands.ORCID 0000-0002-0466-386X

Funding

Research Council of Norway #324252Research Council of Norway #324499
6 · The paper itself

Abstract

backgroundGenetic studies have shown associations between genetic risk for schizophrenia and brain imaging phenotypes. However, prior studies focused on a single neuroimaging modality and/or employed methods that do not fully elucidate the shared genetic architecture between them, limiting our understanding of their complex genetic relationship. STUDY

designWe used genome-wide association study summary statistics for schizophrenia alongside 37 brain measurements, selected based on adequate SNP-based heritability and representing structural, microstructural, and functional brain features derived from T1, diffusion tensor imaging (DTI), and resting-state functional magnetic resonance imaging (rs-fMRI). These were integrated with a clinical cohort (1065 cases, 1037 controls) to examine the polygenic overlap between schizophrenia and brain measurements. Polygenic overlap was assessed at genome-wide and individual locus levels through linkage disequilibrium score regression, polygenic scoring (PGS), bivariate MiXeR, and conjunctional false discovery rate. STUDY

resultsSchizophrenia showed weak genetic correlations with all brain measures (rg = -0.131 to 0.146; PFDR = .069 to .019), and no significant correlation with brain PGS. Nonetheless, a substantial proportion of causal variants with mixed effect direction were shared between schizophrenia and brain traits. Genetic correlations and polygenic scores showed significant positive associations with the proportion of shared variants with concordant effect direction. Additionally, we identified 218 loci shared with schizophrenia in T1, 138 in DTI, and 24 in rs-fMRI measures.

conclusionsOur findings indicate shared genetic underpinnings between schizophrenia and brain structure and functional connectivity, emphasizing the necessity for complementary methodologies to investigate the genetic overlap between complex polygenic traits.

Indexed as

BrainGenome-Wide Association StudyMultifactorial InheritanceSchizophreniaAdultDiffusion Tensor ImagingFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMagnetic Resonance ImagingMalePhenotypebrain MRIgenetic overlapgeneticsgenome-wide association studypleiotropyschizophrenia

Identifiers

PMID40579369
PMCPMC13391621

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.