ArticleNutrition & diabetes2024
Identification of interactions between genetic risk scores and dietary patterns for personalized prevention of kidney dysfunction in a population-based cohort.
Article in Nutrition & diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Proteomic profiling in personalized nutrition: a systematic review and methodological frameworks of randomized controlled trials.Frontiers in nutrition · 2026Pooled it
- Combined effects of diet and genetic predisposition on kidney function outcomes.Clinical kidney journal · 2026Article
- The Role of Precision Nutrition in Kidney Disease.Clinical journal of the American Society of Nephrology : CJASN · 2026Review
- External validation of a nomogram for predicting tubulointerstitial lesions in IgA nephropathy: a cross-regional study in China.Clinics (Sao Paulo, Brazil) · 2026Article
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5 authors.
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Abstract
BACKGROUND &
aimChronic kidney disease (CKD) is a heterogeneous disorder that affects the kidney structure and function. This study investigated the effect of the interaction between genetic factors and dietary pattern on kidney dysfunction in Korean adults.
methodsBaseline data were obtained from the Ansan and Ansung Study of the Korean Genome and Epidemiology Study involving 8230 participants aged 40-69 years. Kidney dysfunction was defined as an estimated glomerular filtration rate < 90 mL/minute/1.73 m
resultsThree distinct dietary patterns were extracted, namely, the "prudent pattern," "flour-based and animal food pattern," and "white rice pattern," to analyze the effect of dietary pattern on kidney function. In the "flour-based and animal food pattern," higher pattern scores were associated with a higher prevalence of kidney dysfunction in both the low and high GR groups (P for trend < 0.0001 in the low-, high-GR groups of model 1; 0.0050 and 0.0065 in the low-, high-GR groups of model 2, respectively).
conclusionsThe results highlight a significant association between the 'flour-based and animal food pattern' and higher kidney dysfunction prevalence in individuals with both low and high GR. These findings suggest that personalized nutritional interventions based on GR profiles may become the basis for presenting GR-based individual dietary patterns for kidney dysfunction.
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