Evidence map›Paper›PMID 8651287›Full record

ArticleAmerican journal of human genetics1996

Heritability of X chromosome--inactivation phenotype in a large family.

A K Naumova, R M Plenge, L M Bird, M Leppert, K Morgan, H F Willard, C Sapienza

Open access · greenAbstract read
In one paragraph

Article in American journal of human genetics, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
10.0field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 176 citations in OpenAlex.

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  11. Human X chromosome inactivation and reactivation: implications for cell reprogramming and disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  12. Article
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  14. Review
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  16. Article
  17. Article
  18. Association of androgen receptor CAG repeat polymorphism and polycystic ovary syndrome.The Journal of clinical endocrinology and metabolism · 2008
    Article
  19. Article
  20. X-chromosome inactivation patterns in females with Prader-Willi syndrome.American journal of medical genetics. Part A · 2007
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

A K NaumovaFels Institute for Cancer Research and Molecular Biology, Temple University School of Medicine, Philadelphia, USA.
R M Plenge
L M Bird
M Leppert
K Morgan
H F Willard
C Sapienza
Temple University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the two X chromosomes in each somatic cell of normal human females becomes inactivated very early in embryonic development. Although the inactivation of an X chromosome in any particular somatic cell of the embryonic lineage is thought to be a stochastic and epigenetic event, a strong genetic influence on this process has been described in the mouse. We have attempted to uncover evidence for genetic control of X-chromosome inactivation in the human by examining X chromosome-inactivation patterns in 255 females from 36 three-generation pedigrees, to determine whether this quantitative character exhibits evidence of heritability. We have found one family in which all seven daughters of one male and the mother of this male have highly skewed patterns of X-chromosome inactivation, suggesting strongly that this quantitative character is controlled by one or more X-linked genes in some families.

Indexed as

RNA, UntranslatedX ChromosomeAllelesBase SequenceDNADNA PrimersFemaleGenomic ImprintingHumansLymphocytesMaleMethylationMolecular Sequence DataPedigreePhenotypePolymerase Chain ReactionDNADNA PrimersReceptors, AndrogenRNA, Long NoncodingRNA, UntranslatedTranscription FactorsXIST non-coding RNA

Identifiers

PMID8651287
PMCPMC1915075
OpenAlexW1492806079

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.