The Role of Genetic Testing in Adult CKD.
Nine V A M KnoersAlbertien M Van EerdePublished in: Journal of the American Society of Nephrology : JASN (2024)
Mounting evidence indicates that monogenic disorders are the underlying cause in a significant proportion of patients with CKD. In recent years, the diagnostic yield of genetic testing in these patients has increased significantly as a result of revolutionary developments in genetic sequencing techniques and sequencing data analysis. Identification of disease-causing genetic variant(s) in patients with CKD may facilitate prognostication and personalized management, including nephroprotection and decisions around kidney transplantation, and is crucial for genetic counseling and reproductive family planning. A genetic diagnosis in a patient with CKD allows for screening of at-risk family members, which is also important for determining their eligibility as kidney transplant donors. Despite evidence for clinical utility, increased availability, and data supporting the cost-effectiveness of genetic testing in CKD, especially when applied early in the diagnostic process, many nephrologists do not use genetic testing to its full potential because of multiple perceived barriers. Our aim in this article was to empower nephrologists to (further) implement genetic testing as a diagnostic means in their clinical practice, on the basis of the most recent insights and exemplified by patient vignettes. We stress why genetic testing is of significant clinical benefit to many patients with CKD, provide recommendations for which patients to test and which test(s) to order, give guidance about interpretation of genetic testing results, and highlight the necessity for and essential components of pretest and post-test genetic counseling.
Keyphrases
- chronic kidney disease
- end stage renal disease
- kidney transplantation
- genome wide
- data analysis
- clinical practice
- newly diagnosed
- ejection fraction
- case report
- single cell
- prognostic factors
- mental health
- peritoneal dialysis
- dna methylation
- gene expression
- physical activity
- depressive symptoms
- social support
- smoking cessation
- electronic health record
- hepatitis c virus
- risk assessment
- machine learning
- men who have sex with men