Evidence map›Paper›PMID 24667286›Full record

ArticlePloS one2014

Assessing the impact of copy number variants on miRNA genes in autism by Monte Carlo simulation.

Maurizio Marrale, Nadia Ninfa Albanese, Francesco Calì, Valentino Romano

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 7% 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, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Decoding microRNAs in autism spectrum disorder.Molecular therapy. Nucleic acids · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. miRNA regulation of social and anxiety-related behaviour.Cellular and molecular life sciences : CMLS · 2020
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. MiRNAs and miRNA Polymorphisms Modify Drug Response.International journal of environmental research and public health · 2016
    Review
  17. Article
  18. 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

4 authors at 2 institutions in 1 country.

Maurizio MarraleDipartimento di Fisica e Chimica, Università di Palermo, Palermo, Italy.
Nadia Ninfa AlbaneseDipartimento di Fisica e Chimica, Università di Palermo, Palermo, Italy.
Francesco CalìU.O.C. di Genetica Medica Laboratorio di Genetica Molecolare, Associazione Oasi Maria SS. (I.R.C.C.S.), Troina, Italy.
Valentino RomanoDipartimento di Fisica e Chimica, Università di Palermo, Palermo, Italy; U.O.C. di Genetica Medica Laboratorio di Genetica Molecolare, Associazione Oasi Maria SS. (I.R.C.C.S.), Troina, Italy.
University of Palermo · ITI.R.C.C.S. Oasi Maria SS · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism Spectrum Disorders (ASDs) are childhood neurodevelopmental disorders with complex genetic origins. Previous studies have investigated the role of de novo Copy Number Variants (CNVs) and microRNAs as important but distinct etiological factors in ASD. We developed a novel computational procedure to assess the potential pathogenic role of microRNA genes overlapping de novo CNVs in ASD patients. Here we show that for chromosomes # 1, 2 and 22 the actual number of miRNA loci affected by de novo CNVs in patients was found significantly higher than that estimated by Monte Carlo simulation of random CNV events. Out of 24 miRNA genes over-represented in CNVs from these three chromosomes only hsa-mir-4436b-1 and hsa-mir-4436b-2 have not been detected in CNVs from non-autistic subjects as reported in the Database of Genomic Variants. Altogether the results reported in this study represent a first step towards a full understanding of how a dysregulated expression of the 24 miRNAs genes affect neurodevelopment in autism. We also propose that the procedure used in this study can be effectively applied to CNVs/miRNA genes association data in other genomic disorders beyond autism.

Indexed as

Computer SimulationMonte Carlo MethodAutistic DisorderChromosomes, Human, Pair 1Chromosomes, Human, Pair 2Chromosomes, Human, Pair 22DNA Copy Number VariationsGene Regulatory NetworksGenetic LociGenome, HumanHumansMicroRNAsMicroRNAs

Identifiers

PMID24667286
PMCPMC3965395
OpenAlexW2048348523

What OpenQuestion holds

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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.