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. This evidence concerns the gene RTP4 and systemic lupus erythematosus.