Research suggests that integrating common and rare genetic variants can improve the prediction of polygenic risk across diverse populations. However, the effectiveness of this approach may vary depending on the specific condition being studied, with some studies reporting improved prediction for certain conditions, such as atrial fibrillation and coronary artery disease, while others, like fracture prediction, show no improvement. The use of integrated genomic models and polygenic risk scores is being explored for its potential to advance personalized medicine, including cardiovascular disease.