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Updated: Nov 11, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Targeted Next-Generation Sequencing Identifies Pathogenic Variants in Diabetic Kidney Disease
Jose Lazaro-Guevara1,2, Julio Fierro-Morales1,2, A Hunter Wright2
1Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Introduction:
Diabetes is the most common cause of chronic kidney disease (CKD). For patients with diabetes and CKD, the underlying cause of their kidney disease is often assumed to be a consequence of their diabetes. Without histopathological confirmation, however, the underlying cause of their disease is unclear. Recent studies have shown that next-generation sequencing (NGS) provides a promising avenue toward uncovering and establishing precise genetic diagnoses in various forms of kidney disease.
Methods:
Here, we set out to investigate the genetic basis of disease in nondiabetic kidney disease (NDKD) and diabetic kidney disease (DKD) patients by performing targeted NGS using a custom panel comprising 345 kidney disease-related genes.
Results:
Our analysis identified rare diagnostic variants based on ACMG-AMP guidelines that were consistent with the clinical diagnosis of 19% of the NDKD patients included in this study. Similarly, 22% of DKD patients were found to carry rare pathogenic/likely pathogenic variants in kidney disease-related genes included on our panel. Genetic variants suggestive of NDKD were detected in 3% of the diabetic patients included in this study.
Discussion/Conclusion:
Our findings suggest that rare variants in kidney disease-related genes in a diabetic background may play a role in the pathogenesis of DKD and NDKD in patients with diabetes.
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