The proposed predictive model utilised a UK Biobank dataset containing 28,796 estimates of MRI-derived PDFF across normal to severe levels, and integrated the following input variables: age, the waist-to-hip ratio, BMI, original computed FLI, uric acid, testosterone, GGT, AST, ALT, the ratio of AST to ALT, the ratio of AST to PLT and liver disease diagnosis. The gene discussed is GPT; the disease is liver disorder.