Evidence map›Paper›PMID 25034949›Full record

ArticleBiological psychiatry2015

Copy number variable microRNAs in schizophrenia and their neurodevelopmental gene targets.

William Warnica, Daniele Merico, Gregory Costain, Simon E Alfred, John Wei, Christian R Marshall, Stephen W Scherer, Anne S Bassett

Open access · bronzeAbstract read
In one paragraph

Article in Biological psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 5% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Article
  8. The Role of microRNA in Schizophrenia: A Scoping Review.International journal of molecular sciences · 2024
    Article
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  14. Review
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  18. Evidence for an Interaction BetweenFrontiers in psychiatry · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

William WarnicaClinical Genetics Research Program, Centre for Addiction and Mental Health, Ontario, Canada.
Daniele MericoThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Ontario, Canada.
Gregory CostainClinical Genetics Research Program, Centre for Addiction and Mental Health, Ontario, Canada.
Simon E AlfredClinical Genetics Research Program, Centre for Addiction and Mental Health, Ontario, Canada.
John WeiThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Ontario, Canada; Department of Molecular Genetics and McLaughlin Centre, Ontario, Canada.
Christian R MarshallThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Ontario, Canada; Department of Molecular Genetics and McLaughlin Centre, Ontario, Canada.
Stephen W SchererThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Ontario, Canada; Department of Molecular Genetics and McLaughlin Centre, Ontario, Canada.
Anne S BassettClinical Genetics Research Program, Centre for Addiction and Mental Health, Ontario, Canada; Department of Psychiatry, University of Toronto, Ontario, Canada; Department of Psychiatry, University Health Network, Toronto, Ontario, Canada; Division of Cardiology, Department of Medicine, University Health Network, Toronto, Ontario, Canada. Electronic address: anne.bassett@utoronto.ca.
Hospital for Sick Children · CACentre for Addiction and Mental Health · CAUniversity Health Network · CA

Funding

CIHR 107520-1CIHR MOP-111238CIHR MOP-89066
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are key regulators of gene expression in the human genome and may contribute to risk for neuropsychiatric disorders. miRNAs play an acknowledged role in the strongest of genetic risk factors for schizophrenia, 22q11.2 deletions. We hypothesized that in schizophrenia there would be an enrichment of other rare copy number variants (CNVs) that overlap miRNAs.

methodsUsing high-resolution genome-wide microarrays and rigorous methods, we compared the miRNA content of rare CNVs in well-characterized cohorts of schizophrenia cases (n = 420) and comparison subjects, excluding 22q11.2 CNVs. We also performed a gene-set enrichment analysis of the predicted miRNA target genes.

resultsThe schizophrenia group was enriched for the proportion of individuals with a rare CNV overlapping a miRNA (3.29-fold increase over comparison subjects, p < .0001). The presence of a rare CNV overlapping a miRNA remained a significant predictor of schizophrenia case status (p = .0072) in a multivariate logistic regression model correcting for total CNV size. In contrast, comparable analyses correcting for CNV size showed no enrichment of rare CNVs overlapping protein-coding genes. A gene-set enrichment analysis indicated that predicted target genes of recurrent CNV-overlapped miRNAs in schizophrenia may be functionally enriched for neurodevelopmental processes, including axonogenesis and neuron projection development. Predicted gene targets driving these results included CAPRIN1, NEDD4, NTRK2, PAK2, RHOA, and SYNGAP1.

conclusionsThese data are the first to demonstrate a genome-wide role for CNVs overlapping miRNAs in the genetic risk for schizophrenia. The results provide support for an expanded multihit model of causation, with potential implications for miRNA-based therapeutics.

Indexed as

DNA Copy Number VariationsGenetic Predisposition to DiseaseMicroRNAsGenotyping TechniquesHumansLogistic ModelsMicroarray AnalysisMultivariate AnalysisProspective StudiesSchizophreniaWhite PeopleMicroRNAs16p13.11CAPRIN1Copy number variationMicroRNANEDD4NTRK2PAK2RHOASchizophreniaSYNGAP1

Identifiers

PMID25034949
PMCPMC4464826
OpenAlexW2023521045

What OpenQuestion holds

Textmetadata
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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.