A new study published in PLoS One aimed to identify single nucleotide polymorphisms (SNPs) associated with chronic kidney disease (CKD), and to examine whether risk allele accumulation is associated with chronic kidney disease (CKD). This cross-sectional study utilized data of 4814 male workers to examine the association between estimated glomerular filtration rate (eGFR) and 59 candidate polymorphisms – comprising 17 CKD, 42 atherosclerotic diseases. Here, genetic risk score (GRS) was defined as the total number of risk alleles that showed a significant association in this analysis and the relationship with CKD (eGFR < 60 ml/min/1.73m2) was examined. Overall, 432 participants were categorized as having CKD. The results showed eight candidate SNPs with P value < 0.05 in the multivariate linear regression adjusted for age, body mass index, systolic blood pressure, and fasting blood glucose. Among these eight SNPs, BRAP rs3782886, and SPATA5L1 rs2467853 were significantly associated with eGFR. GRS was significantly associated with CKD. C-statistics improved from 0.775 to 0.780 but showed no significance. However, adding GRS markedly improved integrated discrimination improvement (IDI) and category-free net reclassification improvement (cNRI). Therefore, it was stated that after adjustment for clinical factors, kidney function was associated with BRAP rs3782886 and SPATA5L1 rs2467853; while the GRS for CKD was associated CKD.