Medicine and Health

Identification of interactions between genetic risk scores and dietary patterns for personalized prevention of kidney dysfunction in a population-based cohort

M. Jang, L. Tan, et al.

This groundbreaking research by Min-Jae Jang and colleagues explores how genetic factors intertwine with dietary habits to impact kidney dysfunction among Korean adults. With insights drawn from over 8,000 participants, the study highlights the potential of personalized nutrition tailored to genetic risk profiles to combat kidney issues.

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Playback language: English

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Abstract

This study investigated the interaction between genetic factors and dietary patterns on kidney dysfunction in Korean adults. Using data from 8230 participants in the Ansan and Ansung Study of the Korean Genome and Epidemiology Study, a genome-wide association study identified 94 SNPs significantly associated with kidney dysfunction. Three dietary patterns were identified: "prudent pattern," "flour-based and animal food pattern," and "white rice pattern." The "flour-based and animal food pattern" showed a significant association with higher kidney dysfunction prevalence in both low and high genetic risk score (GRS) groups. These findings suggest personalized nutritional interventions based on GRS profiles may improve kidney dysfunction prevention.

Publisher

Nutrition and Diabetes

Published On

Aug 14, 2024

Authors

Min-Jae Jang, Li-Juan Tan, Min Young Park, Sangah Shin, Jun-Mo Kim

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