ArticleScientific reports2022
Association and interaction between dietary patterns and gene polymorphisms in Liangshan residents with hyperuricemia.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Nutrient intake and diet quality in individuals with hyperuricemia: a matched population study.Frontiers in nutrition · 2026Article
- Analysis of ABCG2 gene rs2231142 single nucleotide polymorphism and risk factors in hyperuricemia.Scientific reports · 2025Article
- Effects of Genetic Risk and Lifestyle Habits on Gout: A Korean Cohort Study.Journal of Korean medical science · 2025Article
- Comparison between compositional data analysis and principal component analysis for identifying dietary patterns associated with hyperuricemia.Frontiers in nutrition · 2025Article
- Dietary pattern and risk of hyperuricemia: an updated systematic review and meta-analysis of observational studies.Frontiers in nutrition · 2024Review
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
Hyperuricemia (HUA) is associated with dietary and genetic factors. However, studies on dietary patterns and their interaction effect with genes on the risk of HUA are limited. We aimed to explore the association between dietary patterns and HUA, and dietary patterns-gene interactions on the risk of HUA. A population-based cross-sectional study was conducted in adults aged 18 and older in Liangshan Yi Autonomous Prefecture of China. Dietary consumption was collected using a standard Food Frequency Questionnaire. Vein blood samples were collected after overnight fasting, and DNA was extracted from peripheral blood leukocytes. Dietary patterns were derived using principal component and factor analysis. Of the 2646 participants, the prevalence of HUA was 26.8%. Three dietary patterns were classified. Of them, a dietary pattern with higher meat consumption (defined as meat-based) had the strongest association with HUA than a dietary pattern with plant-based or local special diet-based. A higher frequency of T allele at ABCG2 rs2231142 and SLC2A9 rs11722228 loci was observed in participants with HUA than those without HUA. An additive interaction of meat-based dietary pattern with rs2231142 locus was significantly associated with an increased risk of HUA. The relative excess risks of interaction, attributable proportion of interaction, and synergy index (S) were 0.482 (95% CI: 0.012-0.976), 0.203 (95% CI: 0.033-0.374), and 1.544 (95% CI: 1.012-2.355), respectively. In conclusion, a dietary pattern with meat-based was significantly associated with an increased risk of HUA. There was an additive interaction between a meat-based dietary pattern and the ABCG2 rs2231142 locus. Individuals with rs2231142 T allele were at higher risk of HUA than those with rs2231142 GG allele.
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