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- W4321788432 abstract "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 35703 controls). Individuals with T2D had a significantly higher mean PRS than controls (0.478 vs. -0.076, p ≈ 0). PRS predicted the risk of T2D with an AUC of 0.654 (95% CI: 0.646–0.662). We also evaluated interaction between PRS and waist circumference (WC) in the HEXA cohort. PRS exhibited a significant sub-multiplicative interaction with WC (OR interaction = 0.992, 95% CI: 0.989–0.996, p interaction =0.0001) in T2D. The effect of WC on T2D decreased as PRS increased. The sex-specific analyses produced similar interaction results, revealing a decreased WC effect on T2D as the PRS increased. In conclusion, the risk of WC for T2D may differ depending on PRS and those with a high PRS might develop T2D with a lower WC threshold. Our findings are expected to improve risk prediction for T2D and facilitate the identification of individuals at an increased risk of T2D." @default.
- W4321788432 created "2023-02-25" @default.
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- W4321788432 date "2023-02-24" @default.
- W4321788432 modified "2023-10-16" @default.
- W4321788432 title "Risk prediction and interaction analysis using polygenic risk score of type 2 diabetes in a Korean population" @default.
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- W4321788432 doi "https://doi.org/10.21203/rs.3.rs-2525623/v1" @default.
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