ArticleAntioxidants (Basel, Switzerland)2022
Early Prediction for Prediabetes and Type 2 Diabetes Using the Genetic Risk Score and Oxidative Stress Score.
Article in Antioxidants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 12 citations in OpenAlex.
- Longitudinal trajectories and predictors of glycated hemoglobin among type 2 diabetes patients concomitant with hypertension: spline based linear mixed-effects model.Scientific reports · 2026Article
- Precision nutrition in Asian populations: a Multi-omics review of mechanisms, biomarkers, and implementation pathways.Journal of nutritional science · 2026Review
- Dual Machine Learning Framework for Predicting Long-Term Glycemic Change and Prediabetes Risk in Young Taiwanese Men.Diagnostics (Basel, Switzerland) · 2025Article
- Transfer learning prediction of type 2 diabetes with unpaired clinical and genetic data.Scientific reports · 2025Article
- Association between elevated glycosylated hemoglobin levels and hypertension among US adults: NHANES 2011-2018.BMC cardiovascular disorders · 2025Article
- The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population.Scientific reports · 2024Article
- Comparative Analysis of Biomarkers in Type 2 Diabetes Patients With and Without Comorbidities: Insights Into the Role of Hypertension and Cardiovascular Disease.Biomarker insights · 2024Article
- Redox Remodeling by Nutraceuticals for Prevention and Treatment of Acute and Chronic Inflammation.Antioxidants (Basel, Switzerland) · 2023Review
- Testing the Utility of Polygenic Risk Scores for Type 2 Diabetes and Obesity in Predicting Metabolic Changes in a Prediabetic Population: An Observational Study.International journal of molecular sciences · 2022Observational
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4 authors at 3 institutions in 1 country.
Funding
Abstract
We aimed to use a genetic risk score (GRS) constructed with prediabetes and type 2 diabetes-related single nucleotide polymorphisms (SNPs) and an oxidative stress score (OSS) to construct an early-prediction model for prediabetes and type 2 diabetes (T2DM) incidence in a Korean population. The study population included 549 prediabetes and T2DM patients and 1036 normal subjects. The GRS was constructed using six prediabetes and T2DM-related SNPs, and the OSS was composed of three recognized oxidative stress biomarkers. Among the nine SNPs, six showed significant associations with the incidence of prediabetes and T2DM. The GRS was profoundly associated with increased prediabetes and T2DM (OR = 1.946) compared with individual SNPs after adjusting for age, sex, and BMI. Each of the three oxidative stress biomarkers was markedly higher in the prediabetes and T2DM group than in the normal group, and the OSS was significantly associated with increased prediabetes and T2DM (OR = 2.270). When BMI was introduced to the model with the OSS and GRS, the area under the ROC curve improved (from 69.3% to 70.5%). We found that the prediction model composed of the OSS, GRS, and BMI showed a significant prediction ability for the incidence of prediabetes and T2DM.
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