Unknown

Dataset Information

Genetic variants affecting mitochondrial function provide further insights for kidney disease.


ABSTRACT:

Background

Chronic kidney disease (CKD) is a complex disorder that has become a high prevalence global health problem, with diabetes being its predominant pathophysiologic driver. Autosomal genetic variation only explains some of the predisposition to kidney disease. Variations in the mitochondrial genome (mtDNA) and nuclear-encoded mitochondrial genes (NEMG) are implicated in susceptibility to kidney disease and CKD progression, but they have not been thoroughly explored. Our aim was to investigate the association of variation in both mtDNA and NEMG with CKD (and related traits), with a particular focus on diabetes.

Methods

We used the UK Biobank (UKB) and UK-ROI, an independent collection of individuals with type 1 diabetes mellitus (T1DM) patients.

Results

Fourteen

SUBMITTER: Canadas-Garre M 

PROVIDER: S-EPMC11163707 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature