When including blood transcriptomic features with clinical features (age, sex, education, and APOE ε4 status) to train a machine learning prediction model of AD, our model performed better with these additional molecular features than without (AUROC: 0.88 vs 0.77, respectively). The gene discussed is APOE; the disease is Alzheimer disease.