Metabolic polygenic risk scores for prediction of obesity, type 2 diabetes, and related morbidities - PubMed
4 hours ago
- #polygenic risk score
- #metabolic diseases
- #multi-ancestry GWAS
- Metabolic polygenic risk scores (MetPRS) predict obesity, type 2 diabetes (T2D), and related conditions.
- MetPRS outperforms traditional single-disease polygenic risk scores (PRSs) in predicting metabolic diseases.
- Two optimized versions of MetPRS: O-MetPRS for obesity and D-MetPRS for T2D.
- MetPRS uses multi-ancestry genome-wide association studies (GWAS) of 20 metabolic traits from over 8.5 million individuals.
- MetPRS effectively identifies individuals at high risk for metabolic multimorbidity and predicts clinical outcomes.
- Top decile of O-MetPRS and D-MetPRS shows a 2-fold increased risk of GLP-1 receptor agonist initiation.
- MetPRS provides additional information for disease prediction and management of metabolic diseases.