Combined with the available data on basic sex hormones, embryonic morphology, the protein composition of endometrial, the follicular microenvironment, and the negative emotion of PCOS, the regulation of GLIPR1, FAM166B, TIA1, MAMLD1, and COL5A1 was evaluated from transcriptomics and metabolomics data, predicting pregnancy outcomes under the RF, SVM, least absolute shrinkage and selection operator (LASSO) algorithms, and so on [123–127]. This evidence concerns the gene GLIPR1 and polycystic ovary syndrome.