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The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect
BACKGROUND: 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 con...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931603/ https://www.ncbi.nlm.nih.gov/pubmed/33663556 http://dx.doi.org/10.1186/s13075-021-02444-8 |
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author | Topless, Ruth K. G. Major, Tanya J. Florez, Jose C. Hirschhorn, Joel N. Cadzow, Murray Dalbeth, Nicola Stamp, Lisa K. Wilcox, Philip L. Reynolds, Richard J. Cole, Joanne B. Merriman, Tony R. |
author_facet | Topless, Ruth K. G. Major, Tanya J. Florez, Jose C. Hirschhorn, Joel N. Cadzow, Murray Dalbeth, Nicola Stamp, Lisa K. Wilcox, Philip L. Reynolds, Richard J. Cole, Joanne B. Merriman, Tony R. |
author_sort | Topless, Ruth K. G. |
collection | PubMed |
description | BACKGROUND: 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. METHODS: 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. RESULTS: Adherence to dietary recommendations, BMI (< 25 kg/m(2)), 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. CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-021-02444-8. |
format | Online Article Text |
id | pubmed-7931603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79316032021-03-05 The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect Topless, Ruth K. G. Major, Tanya J. Florez, Jose C. Hirschhorn, Joel N. Cadzow, Murray Dalbeth, Nicola Stamp, Lisa K. Wilcox, Philip L. Reynolds, Richard J. Cole, Joanne B. Merriman, Tony R. Arthritis Res Ther Research Article BACKGROUND: 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. METHODS: 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. RESULTS: Adherence to dietary recommendations, BMI (< 25 kg/m(2)), 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. CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-021-02444-8. BioMed Central 2021-03-04 2021 /pmc/articles/PMC7931603/ /pubmed/33663556 http://dx.doi.org/10.1186/s13075-021-02444-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Topless, Ruth K. G. Major, Tanya J. Florez, Jose C. Hirschhorn, Joel N. Cadzow, Murray Dalbeth, Nicola Stamp, Lisa K. Wilcox, Philip L. Reynolds, Richard J. Cole, Joanne B. Merriman, Tony R. The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect |
title | The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect |
title_full | The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect |
title_fullStr | The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect |
title_full_unstemmed | The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect |
title_short | The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect |
title_sort | comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931603/ https://www.ncbi.nlm.nih.gov/pubmed/33663556 http://dx.doi.org/10.1186/s13075-021-02444-8 |
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