Evidence map›Paper›PMID 23775923›Full record

ArticleAmerican journal of medical genetics. Part A2013

An allelic series of Trp63 mutations defines TAp63 as a modifier of EEC syndrome.

Emma Vernersson Lindahl, Elvin L Garcia, Alea A Mills

Open access · greenAbstract read
In one paragraph

Article in American journal of medical genetics. Part A, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Master regulatory role of p63 in epidermal development and disease.Cellular and molecular life sciences : CMLS · 2018
    Review
  10. Article
  11. Article
  12. Mouse p63 variants and chondrogenesis.International journal of clinical and experimental pathology · 2013
    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

3 authors at 1 institution in 1 country.

Emma Vernersson LindahlCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Elvin L Garcia
Alea A Mills
Cold Spring Harbor Laboratory · US

Funding

CSHL Cancer Gene Discovery and Cancer Biology Postdoctoral Research Training ProgramT32CA148056 · NCI · COLD SPRING HARBOR LABORATORY · PI TROTMAN, LLOYD C · 2011 to 2020
$1.8M
NCI NIH HHS T32 CA148056
6 · The paper itself

Abstract

Human Ectrodactyly, Ectodermal dysplasia, Clefting (EEC) syndrome is an autosomal dominant developmental disorder defined by limb deformities, skin defects, and craniofacial clefting. Although associated with heterozygous missense mutations in TP63, the genetic basis underlying the variable expressivity and incomplete penetrance of EEC is unknown. Here, we show that mice heterozygous for an allele encoding the Trp63 p.Arg318His mutation, which corresponds to the human TP63 p.Arg279His mutation found in patients with EEC, have features of human EEC. Using an allelic series, we discovered that whereas clefting and skin defects are caused by loss of Trp63 function, limb anomalies are due to gain- and/or dominant-negative effects of Trp63. Furthermore, we identify TAp63 as a strong modifier of EEC-associated phenotypes with regard to both penetrance and expressivity.

Indexed as

Disease Models, AnimalAllelesAnimalsBlotting, SouthernCleft LipCleft PalateEctodermal DysplasiaHeterozygoteHumansMiceMutationPhenotypeTranscription FactorsTumor Suppressor ProteinsTP63 protein, humanTranscription FactorsTumor Suppressor Proteinscleft palateEEC syndromegenetic modifierlimb defectsmouse modelTAp63TP53 homologueTP63TP63 p.Arg279HisTrp63

Identifiers

PMID23775923
PMCPMC4066377
OpenAlexW2130266075

What OpenQuestion holds

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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.