Reflecting the quality of milk at the molecular level is a frontier technology. The aim of this study was to analyze the polymorphisms of bovine insulin-like growth factor 2 (IGF2), signal transducer and activator of transcription 5A (STAT5A) and clusterin (CLU) genes in the raw milk from 507 Chinese Holstein cow using polymerase chain reaction (PCR)-restriction fragment length polymorphism techniques and to evaluate their correlations with the milk protein content (MPC), milk fat content (MFC), milk lactose content (MLC) and milk total solids content (MTSC). In?IGF2?gene, genotype GG was the most frequent genotype (51.68%) followed by the genotype GT (38.03%) and TT (10.29%). And the genotype TT of?IGF2?gene was superior to the other genotypes in MPC. In?CLU?gene, genotype GG was the most common genotype (63.99%) followed by the genotype GA (34.45%) and AA (1.56%). And the genotype AA of?CLU?gene had greater MFC and MLC, but lower MTSC than GA genotype individuals. For?STAT5A?gene, the frequency of genotype CC and CT was similar (45.30% and 45.08%), while the genotype TT had lowest frequency (9.62%). And the genotype TT of?STA5A?gene had highest MPC and lowest MLC. Thus, screening for the?IGF2,?CLU?and?STAT5A?genes were available for evaluating milk quality and raw milk samples were graded according to the different genotypes.