Evidence map›Paper›PMID 26220467›Full record

ArticleJournal of medical genetics2015

Buccal swab as a reliable predictor for X inactivation ratio in inaccessible tissues.

Bas de Hoon, Kim Monkhorst, Peter Riegman, Joop S E Laven, Joost Gribnau

Abstract read
In one paragraph

Article in Journal of medical genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. X-chromosome inactivation patterns depend on age and tissue but not conception method in humans.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Article
  4. Article
  5. Dosage Compensation in Females with X-Linked Metabolic Disorders.International journal of molecular sciences · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. De novo mosaicClinical case reports · 2019
    Article
  10. Two unrelated individuals carrying rare mosaic deletions in TCF4 gene.American journal of medical genetics. Part A · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. X chromosome inactivation in a female carrier of a 1.28 Mb deletion encompassing the human X inactivation centre.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    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

5 authors.

Bas de HoonDepartment of Developmental Biology, Erasmus Medical Centre, Rotterdam, Zuid-Holland, The Netherlands Department of Obstetrics and Gynaecology, Erasmus Medical Centre, Rotterdam, Zuid-Holland, The Netherlands.
Kim MonkhorstDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, Noord-Holland, The Netherlands.
Peter RiegmanDepartment of Pathology, Erasmus Medical Centre, Rotterdam, Zuid-Holland, The Netherlands.
Joop S E LavenDepartment of Obstetrics and Gynaecology, Erasmus Medical Centre, Rotterdam, Zuid-Holland, The Netherlands.
Joost GribnauDepartment of Developmental Biology, Erasmus Medical Centre, Rotterdam, Zuid-Holland, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a result of the epigenetic phenomenon of X chromosome inactivation (XCI) every woman is a mosaic of cells with either an inactive paternal X chromosome or an inactive maternal X chromosome. The ratio between inactive paternal and maternal X chromosomes is different for every female individual, and can influence an X-encoded trait or disease. A multitude of X linked conditions is known, and for many of them it is recognised that the phenotype in affected female carriers of the causative mutation is modulated by the XCI ratio. To predict disease severity an XCI ratio is usually determined in peripheral blood samples. However, the correlation between XCI ratios in peripheral blood and disease affected tissues, that are often inaccessible, is poorly understood. Here, we tested several tissues obtained from autopsies of 12 female individuals for patch size and XCI ratio.

methodsXCI ratios were analysed using methyl-sensitive PCR-based assays for the AR, PCSK1N and SLITRK4 loci. XCI patch size was analysed by testing the XCI ratio of tissue samples with decreasing size.

resultsXCI patch size was analysed for liver, muscle, ovary and brain samples and was found too small to confound testing for XCI ratio in these tissues. XCI ratios were determined in the easily accessible tissues, blood, buccal epithelium and hair follicle, and compared with ratios in several inaccessible tissues.

conclusionsBuccal epithelium is preferable over peripheral blood for predicting XCI ratios of inaccessible tissues. Ovary is the only inaccessible tissue showing a poor correlation to blood and buccal epithelium, but has a good correlation to hair follicle instead.

Indexed as

X Chromosome InactivationAdultAgedAged, 80 and overChromosomes, Human, XFemaleHumansInfantMiddle AgedMouth MucosaOrgan SpecificityGeneticsGenetic screening/counsellingMolecular genetics

Identifiers

PMID26220467
PMCPMC4680131

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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.