Combined rare and common variant polygenic risk score
1 paper2 findings
- Humans1
Effects
1Prediction accuracy
upin silico1
1 study
Prediction accuracy
upin silico1
Combined rare and common variant polygenic risk score improves prediction accuracy in silico (AAUC 0.68 vs. 0.66).
“Combining rvPRS and cvPRS (rv_cvPRS) improved prediction accuracy (AAUC = 0.68 vs. 0.66 for cvPRS alone), particularly at extreme PRS scores.”
In silicoLatin American ancestry cohort
ADA Scientific Sessions 2025 abstract13 Jun 2025
Associations
1Type 2 diabetes
upin humans1OR 5.7
1 study
Type 2 diabetes
upin humans1OR 5.7
Combined rare and common variant polygenic risk score raises the risk of type 2 diabetes in humans (OR 5.7 (95% CI 4.3-7.4)).
“Individuals at the 95th percentile of the rv_cvPRS had an odds ratio (OR) of 5.7 (4.3-7.4, p = 3.7x10-36) compared to 3.7 (2.9-4.7, p = 1.2x10-26) for the cvPRS.”
Humans95th percentile vs rest
ADA Scientific Sessions 2025 abstract13 Jun 2025
Latest
ADA Scientific Sessions 2025 Abstract
Leveraging Rare Variant Association Analyses to Develop Polygenic Risk Scores (PRSs) for Type 2 Diabetes (T2D)
Genetic association study in peopleType 2 diabetes