To predict the incidence of osteoarthritis, Xie et al developed a random forest model and used AUC to screen 7 candidate N6-methyladenosine regulatory factors (IGFBP3, WTAP, IGFBP1, HNRNPC, RBM15B, YTHDC1, and METTL3).[38] Meanwhile, in a study of susceptibility modules and hub genes associated with diabetes mellitus and fracture healing, Ding et al found in a LASSO regression analysis of upregulated key genes that SRPK1, ACSL1, and BCL6 were eventually included in the model. This evidence concerns the gene YTHDC1 and osteoarthritis.