Evidence map›Paper›PMID 35723738›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2022

Association of polygenic risk for schizophrenia with fast sleep spindle density depends on pro-cognitive variants.

Claudia Schilling, Lea Zillich, Michael Schredl, Josef Frank, Emanuel Schwarz, Michael Deuschle, Andreas Meyer-Lindenberg, Marcella Rietschel, Stephanie H Witt, Fabian Streit

Open access · hybridAbstract read
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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  4. Review
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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

10 authors at 1 institution in 1 country.

Claudia SchillingCentral Institute of Mental Health, Sleep Laboratory, Medical Faculty Mannheim, Heidelberg University, J5, 68159, Mannheim, Germany. claudia.schilling@zi-mannheim.de.ORCID http://orcid.org/0000-0001-7631-1452
Lea ZillichCentral Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Michael SchredlCentral Institute of Mental Health, Sleep Laboratory, Medical Faculty Mannheim, Heidelberg University, J5, 68159, Mannheim, Germany.
Josef FrankCentral Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Emanuel SchwarzCentral Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Michael DeuschleCentral Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Andreas Meyer-LindenbergCentral Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Marcella RietschelCentral Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Stephanie H WittCentral Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Fabian StreitCentral Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Heidelberg University · DE

Funding

Bundesministerium für Bildung und Forschung 01EW1810Bundesministerium für Bildung und Forschung 01EW1904
6 · The paper itself

Abstract

Cognitive impairment is a common feature in schizophrenia and the strongest prognostic factor for long-term outcome. Identifying a trait associated with the genetic background for cognitive outcome in schizophrenia may aid in a deeper understanding of clinical disease subtypes. Fast sleep spindles may represent such a biomarker as they are strongly genetically determined, associated with cognitive functioning and impaired in schizophrenia and unaffected relatives. We measured fast sleep spindle density in 150 healthy adults and investigated its association with a genome-wide polygenic score for schizophrenia (SCZ-PGS). The association between SCZ-PGS and fast spindle density was further characterized by stratifying it to the genetic background of intelligence. SCZ-PGS was positively associated with fast spindle density. This association mainly depended on pro-cognitive genetic variants. Our results strengthen the evidence for a genetic background of spindle abnormalities in schizophrenia. Spindle density might represent an easily accessible marker for a favourable cognitive outcome which should be further investigated in clinical samples.

Indexed as

Cognitive DysfunctionSchizophreniaAdultCognitionHumansMultifactorial InheritanceSleepCognitionGeneticsPolygenic scoreSchizophreniaSleep spindles

Identifiers

PMID35723738
PMCPMC9508216
OpenAlexW4283157542

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.