Evidence map›Paper›PMID 31427717›Full record

ArticleScientific reports2019

X chromosome inactivation does not necessarily determine the severity of the phenotype in Rett syndrome patients.

Clara Xiol, Silvia Vidal, Ainhoa Pascual-Alonso, Laura Blasco, Núria Brandi, Paola Pacheco, Edgar Gerotina, Mar O'Callaghan, Mercè Pineda, Judith Armstrong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Biomolecules · 2025
    Article
  6. Rett syndrome.Nature reviews. Disease primers · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Long noncoding RNAGenes & diseases · 2022
    Review
  12. Molecular Research in Medical Genetics.International journal of molecular sciences · 2022
    Article
  13. Review
  14. 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

11 authors at 20 institutions in 5 countries.

Clara XiolMolecular and Genetics Medicine Section, Hospital Sant Joan de Déu, Barcelona, Spain.
Silvia VidalMolecular and Genetics Medicine Section, Hospital Sant Joan de Déu, Barcelona, Spain.
Ainhoa Pascual-AlonsoMolecular and Genetics Medicine Section, Hospital Sant Joan de Déu, Barcelona, Spain.
Laura BlascoMolecular and Genetics Medicine Section, Hospital Sant Joan de Déu, Barcelona, Spain.
Núria BrandiFacultat de Medicina, Universitat de Barcelona, Barcelona, Spain.
Paola PachecoMolecular and Genetics Medicine Section, Hospital Sant Joan de Déu, Barcelona, Spain.
Edgar GerotinaMolecular and Genetics Medicine Section, Hospital Sant Joan de Déu, Barcelona, Spain.
Mar O'CallaghanNeurology Service, Hospital Sant Joan de Déu, Barcelona, Spain.ORCID http://orcid.org/0000-0002-1896-1622
Mercè PinedaInstitut de Recerca Pediàtrica, Hospital Sant Joan de Déu, Barcelona, Spain.
Judith ArmstrongMolecular and Genetics Medicine Section, Hospital Sant Joan de Déu, Barcelona, Spain. jarmstrong@sjdhospitalbarcelona.org.
Rett Working Group
Hospital Sant Joan de Déu Barcelona · ESVall d'Hebron Hospital Universitari · ESHospital Infantil Universitario Niño Jesús · ESHospital Universitario La Paz · ESHospital Universitario Virgen de la Arrixaca · ESHospital Universitario Virgen del Rocío · ESHospital de Sant Pau · ESHospital General Universitario de Albacete · ESHospital Universitario de Getafe · ESMarqués de Valdecilla University Hospital · ESConsorci Sanitari de Terrassa · ESDeleted InstitutionHospital Clínico San Carlos · ESHospital General Universitari de Castelló · ESHospital General Universitario de Ciudad Real · ESHospital General Universitario Gregorio Marañón · ESHospital Materno-Infantil · ESHospital San Borja Arriarán · CLHospital Universitari de Girona Doctor Josep Trueta · ESHospital Universitario 12 De Octubre · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rett syndrome (RTT) is a severe neurological disorder usually caused by mutations in the MECP2 gene. Since the MECP2 gene is located on the X chromosome, X chromosome inactivation (XCI) could play a role in the wide range of phenotypic variation of RTT patients; however, classical methylation-based protocols to evaluate XCI could not determine whether the preferentially inactivated X chromosome carried the mutant or the wild-type allele. Therefore, we developed an allele-specific methylation-based assay to evaluate methylation at the loci of several recurrent MECP2 mutations. We analyzed the XCI patterns in the blood of 174 RTT patients, but we did not find a clear correlation between XCI and the clinical presentation. We also compared XCI in blood and brain cortex samples of two patients and found differences between XCI patterns in these tissues. However, RTT mainly being a neurological disease complicates the establishment of a correlation between the XCI in blood and the clinical presentation of the patients. Furthermore, we analyzed MECP2 transcript levels and found differences from the expected levels according to XCI. Many factors other than XCI could affect the RTT phenotype, which in combination could influence the clinical presentation of RTT patients to a greater extent than slight variations in the XCI pattern.

Indexed as

PhenotypeX Chromosome InactivationAllelesBrainFemaleGenes, X-LinkedGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansMethyl-CpG-Binding Protein 2MutationRett SyndromeSequence Analysis, DNAMECP2 protein, humanMethyl-CpG-Binding Protein 2

Identifiers

PMID31427717
PMCPMC6700087
OpenAlexW2968766007

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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.