In the present study, a machine-learning predictive model for AD risk was developed, using a case-control population of late-onset AD patients and combining novel variants on candidate molecules for AD that have not been assessed before (VEGF-A related variants), as well as their epistatic interactions with known functional polymorphisms (APOE and LSR). Here, VEGFA is linked to Alzheimer disease.