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The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect

Overview of attention for article published in Arthritis Research & Therapy, March 2021
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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7 X users

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20 Dimensions

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Title
The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect
Published in
Arthritis Research & Therapy, March 2021
DOI 10.1186/s13075-021-02444-8
Pubmed ID
Authors

Ruth K. G. Topless, Tanya J. Major, Jose C. Florez, Joel N. Hirschhorn, Murray Cadzow, Nicola Dalbeth, Lisa K. Stamp, Philip L. Wilcox, Richard J. Reynolds, Joanne B. Cole, Tony R. Merriman

Abstract

Prevention of hyperuricaemia (HU) is critical to the prevention of gout. Understanding causal relationships and relative contributions of various risk factors to hyperuricemia is therefore important in the prevention of gout. Here, we use attributable fraction to compare the relative contribution of genetic, dietary, urate-lowering therapy (ULT) and other exposures to HU. We use Mendelian randomisation to test for the causality of diet in urate levels. Four European-ancestry sample sets, three from the general population (n = 419,060) and one of people with gout (n = 6781) were derived from the Database of Genotypes and Phenotypes (ARIC, FHS, CARDIA, CHS) and UK Biobank. Dichotomised exposures to diet, genetic risk variants, BMI, alcohol, diuretic treatment, sex and age were used to calculate adjusted population and average attributable fractions (PAF/AAF) for HU (≥0.42 mmol/L [≥7 mg/dL]). Exposure to ULT was also assessed in the gout cohort. Two sample Mendelian randomisation was done in the UK Biobank using dietary pattern-associated genetic variants as exposure and serum urate levels as outcome. Adherence to dietary recommendations, BMI (< 25 kg/m2), and absence of the SLC2A9 rs12498742 urate-raising allele produced PAFs for HU of 20 to 24%, 59 to 69%, and 57 to 64%, respectively, in the three non-gout cohorts. In the gout cohort, diet, BMI, SLC2A9 rs12498742 and ULT PAFs for HU were 12%, 49%, 48%, and 63%, respectively. Mendelian randomisation demonstrated weak causal effects of four dietary habits on serum urate levels (e.g. preferentially drinking skim milk increased urate, β = 0.047 mmol/L, P = 3.78 × 10-8). These effects were mediated by BMI, and they were not significant (P ≥ 0.06) in multivariable models assessing the BMI-independent effect of diet on urate. Diet has a relatively minor role in determining serum urate levels and HU. In gout, the use of ULT was the largest attributable fraction tested for HU.

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X Demographics

The data shown below were collected from the profiles of 7 X users 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 14%
Student > Ph. D. Student 4 14%
Student > Postgraduate 2 7%
Student > Master 2 7%
Lecturer 1 4%
Other 4 14%
Unknown 11 39%
Readers by discipline Count As %
Medicine and Dentistry 8 29%
Biochemistry, Genetics and Molecular Biology 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Veterinary Science and Veterinary Medicine 1 4%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 13 46%
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 09 July 2022.
All research outputs
#7,361,749
of 25,387,668 outputs
Outputs from Arthritis Research & Therapy
#1,511
of 3,383 outputs
Outputs of similar age
#160,544
of 451,431 outputs
Outputs of similar age from Arthritis Research & Therapy
#28
of 59 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,383 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 53% 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 451,431 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 63% of its contemporaries.
We're also able to compare this research output to 59 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 52% of its contemporaries.