(32) found that CysC and eGFR can be used as risk factors for end-stage renal disease in patients with diabetic nephropathy, and a machine learning algorithm based on sAlb, CysC, Hb, eGFR and UTP can effectively predict the incidence of end-stage renal disease. The gene discussed is GSTM1; the disease is chronic kidney disease.