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An update on the genetics of hyperuricaemia and gout

Overview of attention for article published in Nature Reviews Rheumatology, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
22 X users
facebook
4 Facebook pages
reddit
1 Redditor

Readers on

mendeley
166 Mendeley
citeulike
1 CiteULike
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Article details
Title
An update on the genetics of hyperuricaemia and gout
Published in
Nature Reviews Rheumatology, May 2018
DOI 10.1038/s41584-018-0004-x
Pubmed ID
Authors
Abstract

A central aspect of the pathogenesis of gout is elevated urate concentrations, which lead to the formation of monosodium urate crystals. The clinical features of gout result from an individual's immune response to these deposited crystals. Genome-wide association studies (GWAS) have confirmed the importance of urate excretion in the control of serum urate levels and the risk of gout and have identified the kidneys, the gut and the liver as sites of urate regulation. The genetic contribution to the progression from hyperuricaemia to gout remains relatively poorly understood, although genes encoding proteins that are involved in the NLRP3 (NOD-, LRR- and pyrin domain-containing 3) inflammasome pathway play a part. Genome-wide and targeted sequencing is beginning to identify uncommon population-specific variants that are associated with urate levels and gout. Mendelian randomization studies using urate-associated genetic variants as unconfounded surrogates for lifelong urate exposure have not supported claims that urate is causal for metabolic conditions that are comorbidities of hyperuricaemia and gout. Genetic studies have also identified genetic variants that predict responsiveness to therapies (for example, urate-lowering drugs) for treatment of hyperuricaemia. Future research should focus on large GWAS (that include asymptomatic hyperuricaemic individuals) and on increasing the use of whole-genome sequencing data to identify uncommon genetic variants with increased penetrance that might provide opportunities for clinical translation.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 18 11%
Student > Ph. D. Student 12 7%
Student > Master 12 7%
Researcher 9 5%
Other 8 5%
Other 25 15%
Unknown 82 49%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 23 14%
Biochemistry, Genetics and Molecular Biology 14 8%
Pharmacology, Toxicology and Pharmaceutical Science 10 6%
Agricultural and Biological Sciences 7 4%
Nursing and Health Professions 4 2%
Other 17 10%
Unknown 91 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 06 January 2021.
All research outputs
#2,219,298
of 33,122,780 outputs
Outputs from Nature Reviews Rheumatology
#457
of 2,739 outputs
Outputs of similar age
#35,879
of 363,292 outputs
Outputs of similar age from Nature Reviews Rheumatology
#12
of 50 outputs
Altmetric has tracked 33,122,780 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,739 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done well, scoring higher than 83% 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 363,292 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.