Evidence map›Paper›PMID 24386451›Full record

ArticlePloS one2013

Random or stochastic monoallelic expressed genes are enriched for neurodevelopmental disorder candidate genes.

Aaron R Jeffries, David A Collier, Evangelos Vassos, Sarah Curran, Caroline M Ogilvie, Jack Price

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.9field-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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Induced pluripotent stem cell reprogramming-associated methylation at the GABRA2 promoter and chr4p12 GABAAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2020
    Article
  7. Review
  8. Frequent monoallelic or skewed expression for developmental genes in CNS-derived cells and evidence for balancing selection.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  9. Oncotarget · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The emerging landscape ofF1000Research · 2017
    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

6 authors at 2 institutions in 1 country.

Aaron R JeffriesDepartment of Neuroscience, Centre for the Cellular Basis of Behaviour, Institute of Psychiatry, King's College London, London, United Kingdom.
David A CollierDiscovery Neuroscience Research, Eli Lilly and Company Limited, Surrey, United Kingdom ; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, United Kingdom.
Evangelos VassosSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, United Kingdom.
Sarah CurranSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, United Kingdom.
Caroline M OgilvieCytogenetics Department, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Jack PriceDepartment of Neuroscience, Centre for the Cellular Basis of Behaviour, Institute of Psychiatry, King's College London, London, United Kingdom.
King's College London · GBGuy's and St Thomas' NHS Foundation Trust · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Random or stochastic monoallelic expressed genes (StMA genes) represent a unique form of monoallelic expression where allelic choice is made at random early in development. The consequential clonal diversity provides opportunity for functional heterozygosity in tissues such as the brain, and can impact on both development and disease. We investigate the relationship of StMA expressed genes previously identified in clonal neural stem cells with the neurodevelopmental disorders autism and schizophrenia. We found that StMA genes show an overrepresentation of schizophrenia risk candidates identified by genome wide association studies from the genetic association database. Similar suggestive enrichment was also found for genes from the NHGRI genome-wide association study catalog and a psychiatric genetics consortium schizophrenia dataset although these latter more robust gene lists did not achieve statistical significance. We also examined multiple sources of copy number variation (CNV) datasets from autism and schizophrenia cohorts. After taking into account total gene numbers and CNV size, both autism and schizophrenia associated CNVs appeared to show an enrichment of StMA genes relative to the control CNV datasets. Since the StMA genes were originally identified in neural stem cells, bias due to the neural transcriptome is possible. To address this, we randomly sampled neural stem cell expressed genes and repeated the tests. After a significant number of iterations, neural stem cell expressed genes did not show an overrepresentation in autism or schizophrenia CNV datasets. Therefore, irrespective of the neural derived transcriptome, StMA genes originally identified in neural stem cells show an overrepresentation in CNVs associated with autism and schizophrenia. If this association is functional, then the regulation (or dysregulation) of this form of allelic expression status within tissues such as the brain may be a contributory risk factor for neurodevelopmental disorders and may also influence disease discordance sometimes observed in monozygotic twins.

Indexed as

AllelesAutistic DisorderDatabases, GeneticGene Expression RegulationSchizophreniaFemaleGene DosageGenome-Wide Association StudyHumansMaleNeural Stem CellsStochastic ProcessesTranscriptomeTwins, Monozygotic

Identifiers

PMID24386451
PMCPMC3874034
OpenAlexW1993994191

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.