Evidence map›Paper›PMID 30867074›Full record

Observational studyPsychological medicine2020

Toward incorporating genetic risk scores into symptom networks of psychosis.

Adela-Maria Isvoranu, Sinan Guloksuz, Sacha Epskamp, Jim van Os, Denny Borsboom, GROUP Investigators

Abstract readObservational Study
In one paragraph

Observational study in Psychological medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Adela-Maria IsvoranuDepartment of Psychology, Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-7981-9198
Sinan GuloksuzDepartment of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
Sacha EpskampDepartment of Psychology, Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands.
Jim van OsUtrecht University Medical Centre, Utrecht, The Netherlands.
Denny BorsboomDepartment of Psychology, Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands.
GROUP Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychosis spectrum disorder is a heterogeneous, multifactorial clinical phenotype, known to have a high heritability, only a minor portion of which can be explained by molecular measures of genetic variation. This study proposes that the identification of genetic variation underlying psychotic disorder may have suffered due to issues in the psychometric conceptualization of the phenotype. Here we aim to open a new line of research into the genetics of mental disorders by explicitly incorporating genes into symptom networks. Specifically, we investigate whether links between a polygenic risk score (PRS) for schizophrenia and measures of psychosis proneness can be identified in a network model.

methodsWe analyzed data from n = 2180 subjects (controls, patients diagnosed with a non-affective psychotic disorder, and the first-degree relatives of the patients). A network structure was computed to examine associations between the 42 symptoms of the Community Assessment of Psychic Experiences (CAPE) and the PRS for schizophrenia.

resultsThe resulting network shows that the PRS is directly connected to the spectrum of positive and depressive symptoms, with the items conspiracy and no future being more often located on predictive pathways from PRS to other symptoms.

conclusionsTo our knowledge, the current exploratory study provides a first application of the network framework to the field of behavior genetics research. This allows for a novel outlook on the investigation of the relations between genome-wide association study-based PRSs and symptoms of mental disorders, by focusing on the dependencies among variables.

Indexed as

Models, BiologicalAdolescentAdultDepressionFamilyFemaleGenetic Predisposition to DiseaseHumansLongitudinal StudiesMaleMiddle AgedMultifactorial InheritancePsychotic DisordersRisk FactorsSchizophreniaYoung AdultGWASnetwork analysispolygenic risk scorepsychosisschizophrenia

Identifiers

PMID30867074
PMCPMC7093319

What OpenQuestion holds

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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.