In conclusion, in our thorough examination of the SLE dataset in the GEO database, we found that the key biomarkers OAS3, USP18, RTP4, SPATS2L, IFI27 and OAS1, which were significantly associated with SLE, were able to jointly construct the disease risk prediction model for SLE with random forest. The gene discussed is IFI27; the disease is systemic lupus erythematosus.