Evidence map›Paper›PMID 29720671›Full record

ArticleScientific reports2018

Genetic variation in 117 myelination-related genes in schizophrenia: Replication of association to lipid biosynthesis genes.

Tomasz Stokowy, Tatiana Polushina, Ida E Sønderby, Robert Karlsson, Sudheer Giddaluru, Stephanie Le Hellard, Sarah E Bergen, Patrick F Sullivan, Ole A Andreassen, Srdjan Djurovic and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Exploring lithium's transcriptional mechanisms of action in bipolar disorder: a multi-step study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  9. Schizophrenia and Sleep Disorders: An Introduction.Medicines (Basel, Switzerland) · 2018
    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

12 authors at 3 institutions in 3 countries.

Tomasz StokowyNORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Tatiana PolushinaNORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Ida E SønderbyDepartment of Medical Genetics, Oslo University Hospital, Oslo, Norway.
Robert KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-8949-2587
Sudheer GiddaluruNORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Stephanie Le HellardNORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Sarah E BergenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Patrick F SullivanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ole A AndreassenNORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Medicine, University of Oslo, Oslo, Norway.
Srdjan DjurovicNORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Christina M HultmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Vidar M SteenNORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway. vidar.martin.steen@helse-bergen.no.ORCID 0000-0001-6440-3966
Haukeland University Hospital · NOKarolinska Institutet · SEOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a serious psychotic disorder with high heritability. Several common genetic variants, rare copy number variants and ultra-rare gene-disrupting mutations have been linked to disease susceptibility, but there is still a large gap between the estimated and explained heritability. Since several studies have indicated brain myelination abnormalities in schizophrenia, we aimed to examine whether variants in myelination-related genes could be associated with risk for schizophrenia. We established a set of 117 myelination genes by database searches and manual curation. We used a combination of GWAS (SCZ_N = 35,476; CTRL_N = 46,839), exome chip (SCZ_N = 269; CTRL_N = 336) and exome sequencing data (SCZ_N = 2,527; CTRL_N = 2,536) from schizophrenia cases and healthy controls to examine common and rare variants. We found that a subset of lipid-related genes was nominally associated with schizophrenia (p = 0.037), but this signal did not survive multiple testing correction (FWER = 0.16) and was mainly driven by the SREBF1 and SREBF2 genes that have already been linked to schizophrenia. Further analysis demonstrated that the lowest nominal p-values were p = 0.0018 for a single common variant (rs8539) and p = 0.012 for burden of rare variants (LRP1 gene), but none of them survived multiple testing correction. Our findings suggest that variation in myelination-related genes is not a major risk factor for schizophrenia.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyAdultCase-Control StudiesFemaleHumansLipid MetabolismLipidsLipogenesisLoss of Function MutationMyelin SheathOpen Reading FramesPolymorphism, Single NucleotideSchizophreniaSwedenLipids

Identifiers

PMID29720671
PMCPMC5931982
OpenAlexW2800283794

What OpenQuestion holds

Textmetadata
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.