Evidence map›Paper›PMID 30142156›Full record

ArticlePLoS genetics2018

Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue.

Oneil G Bhalala, Artika P Nath, UK Brain Expression Consortium, Michael Inouye, Christopher R Sibley

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Genetic mechanisms for impaired synaptic plasticity in schizophrenia revealed by computational modeling.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  6. Detecting differential transcript usage in complex diseases with SPIT.bioRxiv : the preprint server for biology · 2023
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  15. Article
  16. Making Biological Sense of Genetic Studies of Age-Related Macular Degeneration.Advances in experimental medicine and biology · 2021
    Article
  17. Article
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  20. 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

5 authors at 3 institutions in 2 countries.

Oneil G BhalalaSystems Genomics Lab, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID 0000-0002-4412-7009
Artika P NathSystems Genomics Lab, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
UK Brain Expression Consortium
Michael InouyeSystems Genomics Lab, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID 0000-0001-9413-6520
Christopher R SibleyDepartment of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-8286-4683
Baker Heart and Diabetes Institute · AUThe Royal Melbourne Hospital · AUThe University of Melbourne · AU

Funding

ARACHIDONATE METABOLISM IN GLOMERULONEPHRITIS/VASCULITISK08HL001313 · NHLBI · WASHINGTON UNIVERSITY · PI LEFKOWITH, JAMES B · 1985 to 1988
–
British Heart Foundation RG/13/13/30194Medical Research Council MR/L003120/1
6 · The paper itself

Abstract

Schizophrenia and the affective disorders, here comprising bipolar disorder and major depressive disorder, are psychiatric illnesses that lead to significant morbidity and mortality worldwide. Whilst understanding of their pathobiology remains limited, large case-control studies have recently identified single nucleotide polymorphisms (SNPs) associated with these disorders. However, discerning the functional effects of these SNPs has been difficult as the associated causal genes are unknown. Here we evaluated whether schizophrenia and affective disorder associated-SNPs are correlated with gene expression within human brain tissue. Specifically, to identify expression quantitative trait loci (eQTLs), we leveraged disorder-associated SNPs identified from 11 genome-wide association studies with gene expression levels in post-mortem, neurologically-normal tissue from two independent human brain tissue expression datasets (UK Brain Expression Consortium (UKBEC) and Genotype-Tissue Expression (GTEx)). Utilizing stringent multi-region meta-analyses, we identified 2,224 cis-eQTLs associated with expression of 40 genes, including 11 non-coding RNAs. One cis-eQTL, rs16969968, results in a functionally disruptive missense mutation in CHRNA5, a schizophrenia-implicated gene. Importantly, comparing across tissues, we find that blood eQTLs capture < 10% of brain cis-eQTLs. Contrastingly, > 30% of brain-associated eQTLs are significant in tibial nerve. This study identifies putatively causal genes whose expression in region-specific tissue may contribute to the risk of schizophrenia and affective disorders.

Indexed as

Quantitative Trait LociBrainGene Expression RegulationGenome-Wide Association StudyGenotypeHumansMood DisordersNerve Tissue ProteinsPolymorphism, Single NucleotidePrincipal Component AnalysisReceptors, NicotinicSchizophreniaCHRNA5 protein, humanNerve Tissue ProteinsReceptors, Nicotinic

Identifiers

PMID30142156
PMCPMC6126875
OpenAlexW2951370624

What OpenQuestion 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 OpenQuestion graph.