Based on bioinformatics analysis and machine learning, we systematically identified eight related candidate genes (FZD7, IRAK3, KDELR3, PHC2, RHOB, RNF170, SOX13, and ZKSCAN4) and provided a template for the diagnosis of OA combined with MetS. Here, PHC2 is linked to metabolic syndrome.