Evidence map›Paper›PMID 24283533›Full record

ArticleMolecular cytogenetics2013

Xq28 (MECP2) microdeletions are common in mutation-negative females with Rett syndrome and cause mild subtypes of the disease.

Ivan Y Iourov, Svetlana G Vorsanova, Victoria Y Voinova, Oxana S Kurinnaia, Maria A Zelenova, Irina A Demidova, Yuri B Yurov

Open access · goldAbstract read
In one paragraph

Article in Molecular cytogenetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

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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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Cytogenomic epileptology.Molecular cytogenetics · 2023
    Review
  4. Svetlana G. Vorsanova (1945-2021).Molecular cytogenetics · 2022
    Article
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  15. An interstitial deletion at 10q26.2q26.3.Case reports in genetics · 2014
    Article
  16. 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

7 authors at 3 institutions in 1 country.

Ivan Y IourovMental Health Research Center, Russian Academy of Medical Sciences, Moscow 117152, Russia. ivan.iourov@gmail.com.
Svetlana G Vorsanova
Victoria Y Voinova
Oxana S Kurinnaia
Maria A Zelenova
Irina A Demidova
Yuri B Yurov
Mental Health Research Center of Russian Academy of Medical Sciences · RUMinistry of Health of the Russian Federation · RURussian Children's Clinical Hospital · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRett syndrome (RTT) is an X-linked neurodevelopmental disease affecting predominantly females caused by MECP2 mutations. Although RTT is classically considered a monogenic disease, a stable proportion of patients, who do not exhibit MECP2 sequence variations, does exist. Here, we have attempted at uncovering genetic causes underlying the disorder in mutation-negative cases by whole genome analysis using array comparative genomic hybridization (CGH) and a bioinformatic approach.

resultsUsing BAC and oligonucleotide array CGH, 39 patients from RTT Russian cohort (in total, 354 RTT patients), who did not bear intragenic MECP2 mutations, were studied. Among the individuals studied, 12 patients were those with classic RTT and 27 were those with atypical RTT. We have detected five 99.4 kb deletions in chromosome Xq28 affecting MECP2 associated with mild manifestations of classic RTT and five deletions encompassing MECP2 spanning 502.428 kb (three cases), 539.545 kb (one case) and 877.444 kb (one case) associated with mild atypical RTT. A case has demonstrated somatic mosaicism. Regardless of RTT type and deletion size, all the cases exhibited mild phenotypes.

conclusionsOur data indicate for the first time that no fewer than 25% of RTT cases without detectable MECP2 mutations are caused by Xq28 microdeletions. Furthermore, Xq28 (MECP2) deletions are likely to cause mild subtypes of the disease, which can manifest as both classical and atypical RTT.

Identifiers

PMID24283533
PMCPMC4176196
OpenAlexW2165802330

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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.