ArticleScientific reports2024
Risk prediction and interaction analysis using polygenic risk score of type 2 diabetes in a Korean population.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Systolic blood pressure variability as a risk factor for abdominal aortic aneurysm: a prospective cohort study with genomic and proteomic profiling.European journal of epidemiology · 2026Article
- Preimplantation genetic testing for polygenic diseases: A novel paradigm in embryo selection.Biochemistry and biophysics reports · 2026Review
- Polygenic risk and air pollution trends in relation to type 2 diabetes: evidence from the Taiwan Biobank.Diabetology & metabolic syndrome · 2026Article
- Partially connected neural networks for complex trait prediction: application to human height.Human genetics · 2025Article
- Integrating Polygenic Risk Scores (PRS) for Personalized Diabetes Care: Advancing Clinical Practice with Tailored Pharmacological Approaches.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025Review
- Insights into optimal BMI from the GlasVEGAS study.Nature metabolism · 2024Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Joint modelling of genetic and environmental risk factors can provide important information to predict the risk of type 2 diabetes (T2D). Therefore, to predict the genetic risk of T2D, we constructed a polygenic risk score (PRS) using genotype data of one Korean cohort, KARE (745 cases and 2549 controls), and the genome-wide association study summary statistics of Biobank Japan. We evaluated the performance of PRS in an independent Korean cohort, HEXA (5684 cases and 35,703 controls). Individuals with T2D had a significantly higher mean PRS than controls (0.492 vs. - 0.078, p
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