By applying the LASSO algorithm to the 42 genetic variants and 31 clinical variables in the training sample, the important variables for identifying RUE were determined, with the log (λ) values being summarized in Fig. 2A and B. Four SNP variations (rs7679724.TT and rs3775948.GG of SLC2A9/GLUT9, rs504915.AA of NRXN2/URAT1, and rs11227805.TT of AIP) and 7 clinical features (age, hypertension, nephrolithiasis, Glu, SU, BUN, and sCr) were selected by LASSO as the most important for predicting RUE phenotype. This evidence concerns the gene NRXN2 and Hypertension.