Ieki H, Zhang S, Koyama S, et al. Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese Population. Circulation. Genomic and precision medicine. 2026:e005341. doi:10.1161/CIRCGEN.125.005341
Li L, Zhang Y, Truong B, et al. Endothelial Susceptibility-Related Genetic Variants and Hypertensive Disorders of Pregnancy. Arteriosclerosis, thrombosis, and vascular biology. 2026. doi:10.1161/ATVBAHA.126.324519
Adkar SS, Lynch J, Choi RB, et al. Dissecting the Genetic Architecture of Intracranial Aneurysms. Circulation. Genomic and precision medicine. 2025:e004626. doi:10.1161/CIRCGEN.123.004626
Tack RWP, Tan BYQ, Senff JR, et al. Predicting Atrial Fibrillation After Stroke by Combining Polygenic Risk Scores and Clinical Features. Stroke. 2025;56(4):878-886. doi:10.1161/STROKEAHA.124.050123
Li K, Tolman N, Segrè A V, et al. Pyruvate and Related Energetic Metabolites Modulate Resilience Against High Genetic Risk for Glaucoma. bioRxiv : the preprint server for biology. 2025. doi:10.1101/2025.01.18.633745
Tanigawa Y, Kellis M. Power of inclusion: Enhancing polygenic prediction with admixed individuals. American journal of human genetics. 2023;110(11):1888-1902. doi:10.1016/j.ajhg.2023.09.013