Precision Public Health Applications of Multi-Omic Risk Scores for Chronic Kidney Disease: Evidence, Equity, and Implementation Challenges

Nassimbwa Kabanda D.

Faculty of Medicine Kampala International University Uganda

                                                                      ABSTRACT
Chronic kidney disease (CKD) represents a major and growing global public health burden, with substantial proportions of cases remaining undiagnosed until advanced stages. Emerging precision public health approaches leveraging multi-omic risk scores, integrating genomic, epigenomic, proteomic, and metabolomic data offer significant promise for improving early detection, risk stratification, and targeted prevention strategies. This paper examines the current evidence base supporting the use of multi-omic risk scores in CKD, highlighting their potential to enhance predictive accuracy beyond conventional clinical models and enable timely, individualized interventions at the population level. Despite these advances, substantial challenges remain in translating multiomic risk scoring into routine public health practice. Key implementation barriers include limited external validation across diverse populations, inadequate health system infrastructure for data integration, and unresolved questions regarding clinical utility and actionability. Equity concerns are particularly salient, as underrepresentation of diverse populations in omics datasets risks exacerbating existing health disparities, while unequal access to testing and care may skew benefits toward more advantaged groups. Ethical and governance considerations including data privacy, consent, and fair data use further complicate large-scale deployment. Addressing these challenges requires a coordinated, interdisciplinary approach that integrates methodological rigor, inclusive data generation, robust governance frameworks, and health system readiness. Strengthening population diversity in datasets, improving interoperability of health data systems, and aligning policy and funding mechanisms will be essential to ensure equitable and effective implementation. Ultimately, multi-omic risk scores have the potential to transform CKD prevention and management within a precision public health framework, provided that scientific innovation is matched with ethical, equitable, and context-sensitive implementation strategies.

Keywords: Chronic kidney disease (CKD), Multi-omic risk scores, Precision public health, Health equity and Implementation science.

CITE AS: Nassimbwa Kabanda D. (2026). Precision Public Health Applications of Multi-Omic RiskScores for Chronic Kidney Disease: Evidence, Equity, and Implementation Challenges. Research Output Journal of Public Health and Medicine 6(1):55-63. https://doi.org/10.59298/ROJPHM/2026/615563