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A Genome-wide Association Study of Dupuytren Disease Reveals 17 Additional Variants Implicated in Fibrosis

Overview of attention for article published in American Journal of Human Genetics, September 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

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91 Mendeley
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Title
A Genome-wide Association Study of Dupuytren Disease Reveals 17 Additional Variants Implicated in Fibrosis
Published in
American Journal of Human Genetics, September 2017
DOI 10.1016/j.ajhg.2017.08.006
Pubmed ID
Authors

Michael Ng, Dipti Thakkar, Lorraine Southam, Paul Werker, Roel Ophoff, Kerstin Becker, Michael Nothnagel, Andre Franke, Peter Nürnberg, Ana Isabel Espirito-Santo, David Izadi, Hans Christian Hennies, Jagdeep Nanchahal, Eleftheria Zeggini, Dominic Furniss

Abstract

Individuals with Dupuytren disease (DD) are commonly seen by physicians and surgeons across multiple specialties. It is an increasingly common and disabling fibroproliferative disorder of the palmar fascia, which leads to flexion contractures of the digits, and is associated with other tissue-specific fibroses. DD affects between 5% and 25% of people of European descent and is the most common inherited disease of connective tissue. We undertook the largest GWAS to date in individuals with a surgically validated diagnosis of DD from the UK, with replication in British, Dutch, and German individuals. We validated association at all nine previously described signals and discovered 17 additional variants with p ≤ 5 × 10(-8). As a proof of principle, we demonstrated correlation of the high-risk genotype at the statistically most strongly associated variant with decreased secretion of the soluble WNT-antagonist SFRP4, in surgical specimen-derived DD myofibroblasts. These results highlight important pathways involved in the pathogenesis of fibrosis, including WNT signaling, extracellular matrix modulation, and inflammation. In addition, many associated loci contain genes that were hitherto unrecognized as playing a role in fibrosis, opening up new avenues of research that may lead to novel treatments for DD and fibrosis more generally. DD represents an ideal human model disease for fibrosis research.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 14%
Researcher 10 11%
Student > Postgraduate 9 10%
Student > Master 9 10%
Other 8 9%
Other 20 22%
Unknown 22 24%
Readers by discipline Count As %
Medicine and Dentistry 29 32%
Biochemistry, Genetics and Molecular Biology 17 19%
Agricultural and Biological Sciences 8 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Economics, Econometrics and Finance 2 2%
Other 7 8%
Unknown 26 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 31 January 2023.
All research outputs
#2,038,363
of 25,394,764 outputs
Outputs from American Journal of Human Genetics
#1,100
of 5,882 outputs
Outputs of similar age
#38,377
of 323,265 outputs
Outputs of similar age from American Journal of Human Genetics
#21
of 42 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,882 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 81% 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 323,265 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.