In addition, we identified the FNDC7 variant as the one that contributed the most to the predictive power of both models, followed by RAB6A and GOLGA1 variants in the PCOS model and HIF3A and FBN3 variants in the HT model. The gene discussed is GOLGA1; the disease is polycystic ovary syndrome.