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An exploration of genotype-phenotype link between Peutz-Jeghers syndrome and STK11: a review

Overview of attention for article published in Familial Cancer, September 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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1 X user
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1 Wikipedia page

Citations

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54 Dimensions

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62 Mendeley
Title
An exploration of genotype-phenotype link between Peutz-Jeghers syndrome and STK11: a review
Published in
Familial Cancer, September 2017
DOI 10.1007/s10689-017-0037-3
Pubmed ID
Authors

Julian Daniell, John-Paul Plazzer, Anuradha Perera, Finlay Macrae

Abstract

Peutz-Jeghers Syndrome (PJS) is an autosomal dominant hereditary polyposis syndrome. Clinical features include hamartomatous polyps, mucocutaneous pigmentation and an increased predisposition towards developing malignancy. Variants in STK11, a tumour suppressor gene, located on Chromosome 19, predispose to PJS. Peutz-Jeghers Syndrome is associated with increased rates of malignancy, particularly gastrointestinal. However, PJS is also associated with increased gynaecological, testicular and thyroid papillary malignancy. Truncating variants in STK11 are thought to predispose to a more severe phenotype. Phenotype severity is based on earlier onset of gastrointestinal pathology arising from the polyps, such as intussusception or earlier onset malignancy. Missense variants are generally considered less severe than truncating variants. There remain a large number of variants of undetermined significance. Studies have attempted to correlate the location of variants with impact on protein structure and overall severity of the PJS phenotype. The results from these cohort studies have consistently found a non-random distribution of variants. Nevertheless, a consensus on phenotype severity based on variant location is yet to be established. A centralised database that collates all known variants would facilitate the interpretation of these variants, best under the governance of an international disease-specific organisation (InSiGHT). In particular, it could help explore the significance of variants based on their type or location. Understanding the genotype-phenotype link between STK11 variants and PJS could allow more personalised care for PJS patients and their families via appropriate risk stratification and personalised and targeted cancer screening.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Bachelor 10 16%
Student > Master 8 13%
Student > Ph. D. Student 4 6%
Professor > Associate Professor 2 3%
Other 5 8%
Unknown 23 37%
Readers by discipline Count As %
Medicine and Dentistry 16 26%
Biochemistry, Genetics and Molecular Biology 14 23%
Agricultural and Biological Sciences 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Neuroscience 2 3%
Other 1 2%
Unknown 25 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 December 2018.
All research outputs
#7,292,465
of 23,002,898 outputs
Outputs from Familial Cancer
#165
of 567 outputs
Outputs of similar age
#115,894
of 316,004 outputs
Outputs of similar age from Familial Cancer
#2
of 15 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 567 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,004 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.