A meta-prediction framework integrating polygenic risk scores spanning multiple conditions and nongenetic factors, such as laboratory tests and baseline diagnoses, had superior performance in predicting the 10-year risk of coronary artery disease compared with standard clinical scores and previously developed polygenic risk scores.
- Shang-Fu Chen
- Sang Eun Lee
- Ali Torkamani
