Evidence map›Paper›PMID 38961113›Full record

ArticleScientific reports2024

Genomic insights into the shared and distinct genetic architecture of cognitive function and schizophrenia.

Olivia Wootton, Alexey A Shadrin, Thomas Bjella, Olav B Smeland, Dennis van der Meer, Oleksandr Frei, Kevin S O'Connell, Torill Ueland, Ole A Andreassen, Dan J Stein and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Olivia WoottonDepartment of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa. wttoli001@myuct.ac.za.
Alexey A ShadrinNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Thomas BjellaNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Olav B SmelandNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Dennis van der MeerNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Oleksandr FreiNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Kevin S O'ConnellNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Torill UelandNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Ole A AndreassenNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Dan J SteinDepartment of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
Shareefa DalvieDivision of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.

Funding

3/3 Genomics of Schizophrenia in the South African XhosaU01MH125053 · NIMH · UNIVERSITY OF CAPE TOWN · PI STEIN, DAN JOSEPH · 2021 to 2025
$3.5M
EEA Grants/Norway Grants EEA-RO-NO-2018-0573NIMH NIH HHS U01 MH125053NIMH NIH HHS U01MH125053Norges Forskningsråd 223273Norges Forskningsråd 326813
6 · The paper itself

Abstract

Cognitive impairment is a major determinant of functional outcomes in schizophrenia, however, understanding of the biological mechanisms underpinning cognitive dysfunction in the disorder remains incomplete. Here, we apply Genomic Structural Equation Modelling to identify latent cognitive factors capturing genetic liabilities to 12 cognitive traits measured in the UK Biobank. We identified three broad factors that underly the genetic correlations between the cognitive tests. We explore the overlap between latent cognitive factors, schizophrenia, and schizophrenia symptom dimensions using a complementary set of statistical approaches, applied to data from the latest schizophrenia genome-wide association study (Ncase = 53,386, Ncontrol = 77,258) and the Thematically Organised Psychosis study (Ncase = 306, Ncontrol = 1060). Global genetic correlations showed a significant moderate negative genetic correlation between each cognitive factor and schizophrenia. Local genetic correlations implicated unique genomic regions underlying the overlap between schizophrenia and each cognitive factor. We found substantial polygenic overlap between each cognitive factor and schizophrenia and biological annotation of the shared loci implicated gene-sets related to neurodevelopment and neuronal function. Lastly, we show that the common genetic determinants of the latent cognitive factors are not predictive of schizophrenia symptoms in the Norwegian Thematically Organized Psychosis cohort. Overall, these findings inform our understanding of cognitive function in schizophrenia by demonstrating important differences in the shared genetic architecture of schizophrenia and cognitive abilities.

Indexed as

CognitionGenome-Wide Association StudySchizophreniaCognitive DysfunctionFemaleGenetic Predisposition to DiseaseGenomicsHumansMaleMultifactorial InheritancePolymorphism, Single NucleotideSchizophrenic Psychology

Identifiers

PMID38961113
PMCPMC11222449

What Socratic holds

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LicenceCC BY
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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 Socratic graph.