Evidence map›Paper›PMID 23652377›Full record

ArticleEuropean journal of human genetics : EJHG2013

Human X-chromosome inactivation pattern distributions fit a model of genetically influenced choice better than models of completely random choice.

Nisa K E Renault, Sonja M Pritchett, Robin E Howell, Wenda L Greer, Carmen Sapienza, Karen Helene Ørstavik, David C Hamilton

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
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  9. Article
  10. Article
  11. X Chromosome Inactivation in Opioid Addicted Women.Basic and clinical neuroscience · 2015
    Article
  12. Article
  13. Review
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 4 institutions in 3 countries.

Nisa K E RenaultDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Sonja M Pritchett
Robin E Howell
Wenda L Greer
Carmen Sapienza
Karen Helene Ørstavik
David C Hamilton
Dalhousie University · CAHealth Sciences Centre · CATemple University · USUniversity of Oslo · NO

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

In eutherian mammals, one X-chromosome in every XX somatic cell is transcriptionally silenced through the process of X-chromosome inactivation (XCI). Females are thus functional mosaics, where some cells express genes from the paternal X, and the others from the maternal X. The relative abundance of the two cell populations (X-inactivation pattern, XIP) can have significant medical implications for some females. In mice, the 'choice' of which X to inactivate, maternal or paternal, in each cell of the early embryo is genetically influenced. In humans, the timing of XCI choice and whether choice occurs completely randomly or under a genetic influence is debated. Here, we explore these questions by analysing the distribution of XIPs in large populations of normal females. Models were generated to predict XIP distributions resulting from completely random or genetically influenced choice. Each model describes the discrete primary distribution at the onset of XCI, and the continuous secondary distribution accounting for changes to the XIP as a result of development and ageing. Statistical methods are used to compare models with empirical data from Danish and Utah populations. A rigorous data treatment strategy maximises information content and allows for unbiased use of unphased XIP data. The Anderson-Darling goodness-of-fit statistics and likelihood ratio tests indicate that a model of genetically influenced XCI choice better fits the empirical data than models of completely random choice.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolChromosomes, Human, XFemaleHumansInfant, NewbornMiddle AgedX Chromosome InactivationYoung Adult

Identifiers

PMID23652377
PMCPMC3831084
OpenAlexW2007720151

What OpenQuestion holds

Textmetadata
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.