Evidence map›Paper›PMID 30281090›Full record

ArticleSchizophrenia bulletin2019

Polygenic Risk Score for Schizophrenia and Face-Processing Network in Young Adulthood.

Johannes Lieslehto, Vesa J Kiviniemi, Tanja Nordström, Jennifer H Barnett, Graham K Murray, Peter B Jones, Tomáš Paus, Juha Veijola

Open access · hybridAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors at 5 institutions in 4 countries.

Johannes LieslehtoDepartment of Psychiatry, Research Unit of Clinical Neuroscience, Faculty of Medicine, University of Oulu, Oulu, Finland.
Vesa J KiviniemiMedical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
Tanja NordströmMedical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
Jennifer H BarnettDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Graham K MurrayDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Peter B JonesDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Tomáš PausChild Mind Institute, New York, NY.
Juha VeijolaDepartment of Psychiatry, Research Unit of Clinical Neuroscience, Faculty of Medicine, University of Oulu, Oulu, Finland.
Oulu University Hospital · FIUniversity of Cambridge · GBUniversity of Oulu · FICambridge Cognition (United Kingdom) · GBHolland Bloorview Kids Rehabilitation Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of schizophrenia relates to both genetic and environmental factors. Functional deficits in many cognitive domains, including the ability to communicate in social interactions and impaired recognition of facial expressions, are common for patients with schizophrenia and might also be present in individuals at risk of developing schizophrenia. Here we explore whether an individual's polygenic risk score (PRS) for schizophrenia is associated with the degree of interregional similarities in blood oxygen level-dependent (BOLD) signal and gray matter volume of the face-processing network and whether the exposure to early adversity moderates this association. A total of 90 individuals (mean age 22 years, both functional and structural data available) were used for discovery analyses, and 211 individuals (mean age 26 years, structural data available) were used for replication of the structural findings. Both samples were drawn from the Northern Finland Birth Cohort 1986. We found that the degree of interregional similarities in BOLD signal and gray matter volume vary as a function of PRS; lowest interregional correlation (both measures) was observed in individuals with high PRS. We also replicated the gray matter volume finding. We did not find evidence for an interaction between early adversity and PRS on the interregional correlation of BOLD signal and gray matter volume. We speculate that the observed group differences in PRS-related correlations in both modalities may result from differences in the concurrent functional engagement of the face-processing regions over time, eg, via differences in exposure to social interaction with other people.

Indexed as

Facial ExpressionGenome-Wide Association StudyRegistriesSocial PerceptionAdultAdverse Childhood ExperiencesBrain MappingCohort StudiesFacial RecognitionFemaleFinlandGenetic Predisposition to DiseaseGray MatterHumansMagnetic Resonance ImagingMalecohort studyface-processingfMRIthe polygenic risk score for schizophrenia

Identifiers

PMID30281090
PMCPMC6581147
OpenAlexW2894615296

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.