Integrated genomics and metabolomics to identify cause-specific biomarkers for chronic kidney disease in a Korean population.

ABSTRACT:

Background

The heterogeneity of chronic kidney disease (CKD) and fragmented analysis methods hinder the precise identification of novel biomarkers. We addressed this challenge using two independent cohorts to integrate genomics and metabolomics, aiming to identify cause-specific biomarkers for CKD in the Korean population.

Methods

A longitudinal genome-wide association study using the Cox proportional hazards model was conducted using the Ansan and Ansung cohort. To validate these genomic biomarkers and integrate them with plasma metabolomics biomarkers, we utilized a hospital-based biopsy cohort to identify cause-specific CKD biomarkers. Within the biopsy cohort, we analyzed four disease subsets, including type 2 diabetic kidney disease (DKD), hypertensive nephropathy (HN),

SUBMITTER: Kang MW 

PROVIDER: S-EPMC12824508 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature