Using machine learning, a set of 31 important for AD differentiation proteins, which includes 22 previously reported candidate biomarkers, 8 of which were reproduced in ≥3 independent research cohorts (afamin, APOE, APOA4, vitronectin, fibronectin, FGG, FGA and beta-2-glycoprotein 1), was generated. The gene discussed is FGA; the disease is Alzheimer disease.