ArticleNutrients2020
The Relationship of Dietary Pattern and Genetic Risk Score with the Incidence Dyslipidemia: 14-Year Follow-Up Cohort Study.
Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Longitudinal serum uric acid transition patterns and their clinical, genetic, and dietary determinants: prospective prediction of incident hyperuricemia and gout in a Korean population-based cohort.Clinical rheumatology · 2026Article
- Associations of Dietary Intake With Cardiovascular Diseases, Blood Pressure, and Lipid Profile in the Korean Population: An Updated Systematic Review and Meta-Analysis.Journal of lipid and atherosclerosis · 2026Article
- Unveiling new insights into migraine risk stratification using machine learning models of adjustable risk factors.The journal of headache and pain · 2025Article
- Article
- Dietary Inflammatory Patterns Are Associated With Serum TGs and Insulin in Adults: A Community-Based Study in Taiwan.The Journal of nutrition · 2023Article
- Association of sugar intake from different sources with incident depression in the prospective cohort of UK Biobank participants.European journal of nutrition · 2023Article
- Age and Genetic Risk Score and Rates of Blood Lipid Changes in China.JAMA network open · 2023Article
- Polygenic Risk of Hypertriglyceridemia Is Modified by BMI.International journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
This study was conducted to investigate the relationship between dietary pattern and genetic risk score (GRS) for dyslipidemia risk among Korean adults. Hypercholesterolemia and hypertriglyceridemia defined as total cholesterol ≥240 mg/dL and triglyceride ≥200 mg/dL or use dyslipidemia medication. The GRS was calculated by summing the risk alleles of the selected seven single-nucleotide polymorphisms related to dyslipidemia. Dietary patterns were identified by principal component analysis based on the frequency of 36 food groups, "whole grain and soybean products" pattern, "meat, fish and vegetables" pattern, and "bread and noodle" pattern were identified. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using the multivariate Cox proportional hazards regression model. High intake of a "whole grain and soybean products" pattern decreased risks of hypercholesterolemia (HR: 0.82, 95% CI: 0.72-0.93,
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