A review of deoxyribonucleic acid-based single-nucleotide polymorphisms in diabetic kidney disease among Asian populations: Challenges and future directions

Abstract

Diabetic kidney disease (DKD) is a persistent disorder that occurs as a result of long-term diabetes mellitus with genetic and environmental risk factors. The identification of DKD associated single-nucleotide polymorphisms (SNPs) is pivotal for patient screening. This manuscript briefly outlines the pathophysiology and the role of genetic factors in DKD expansion. It further discusses the utility of bioinformatic tools and laboratory techniques requried for the identification of DKD-specific SNPs along with integrated data analysis pipelines valuable to enhance the accuracy of genetic interpretation. A comparative analysis of various SNPs has also been made across diverse Asian populations in conjunction with environmental and lifestyle factors. The clinical relevance of SNPs in predicting DKD progression and stratifying patient risk is highlighted, with focus on gene-specific pathways and associated functional outcomes. The advances in genetic screening, gene-specific therapies, and microbiome-based therapy should help expand the utility of SNPs-based identification of DKD under diverse clinical settings. A structured clinical decision-making framework is proposed to support customized treatment based on SNP profiles. However, this domain has yet to gain widespread recognition with regard to variability in the effects of SNPs across diverse demographies, challenges in clinical translation, and ethical considerations in genetic testing.