Gene-based association analysis for PAU was performed using MAGMA implemented in FUMA [17, 18], which uses a multiple regression approach to detect multi-marker effects that account for SNP p-values and LD between markers. We used default settings to analyze 18,952 autosomal genes, with p < 2.64 × 10−6 (0.05/18,952) considered GWS.