Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases - Song, Jinfang; Xu, Yi; Xu, Liu; Yang, Tingting; Chen, Ya; Ying, Changjiang; Lu, Qian; Wang, Tao; Yin, Xiaoxing (BMC endocrine disorders, 2025)
Keywords: Adult; Aged; Biomarkers; Case-Control Studies; Creatinine; Diabetes; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - complications; Diabetes Mellitus, Type 2 - genetics; Diabetic Nephropathies - diagnosis; Diabetic Nephropathies - etiology; Diabetic Nephropathies - genetics; Disease; Disease susceptibility; Exosomes; Female; Gene polymorphism; Genes; Genetic analysis; Genetic diversity; Genetic Predisposition to Disease; Genomics; Genotype; Genotyping; Glycogen Synthase Kinase 3 beta - genetics; Humans; Kidney diseases; Kinases; Learning algorithms; Machine Learning; Male; Medical screening; Methods; Middle Aged; Patients; Polymorphism; Polymorphism, Single Nucleotide; Prognosis; Single nucleotide polymorphisms; Single-nucleotide polymorphism; Statistical analysis; Susceptibility; Type 2 diabetes; Urine; North Carolina; China; United States--US