Diagnostic Yield and Clinical Impact of a Small Genetic Panel for Kidney Disease: A Multicenter, Retrospective European Study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Chronic kidney disease (CKD) has a genetic origin in 10% of patients. The most effective and cost-beneficial genetic testing methodology is debated. A multicenter, retrospective analysis of 692 patients with panel genetic testing (44 genes) evaluated the diagnostic yield, independent predictors of genetic diagnoses, and clinical impact. Diagnostic variants identified totaled 252, resulting in a 36% yield. The highest yields were associated with cystic disease (49%). No diagnostic variants were identified in unknown CKD. Independent clinical predictors of diagnosis were clinical presentation, family history, and early disease onset. Genetic diagnoses confirmed clinical suspicion in 70%, defined the diagnosis in 23%, and altered clinical diagnosis in 7%. Despite study limitations, a 44 gene panel seems to have a similar diagnostic yield as larger panels and whole-exome sequencing (WES) approaches. Patient selection based on independent predictors of genetic diagnosis may further increase diagnostic yield and cost-effectiveness, especially useful in cost-restricted contexts.
Source: Clinical Genetics
DOI: 10.1111/cge.70002
Authors: Silvia Giovanella, Antonio Miguel Poyatos‐Andújar, Maria Mar Aguila Garcia, Almudena Avila‐Fernandez, Ana Bustamante‐Aragonés, Carmen Ayuso, Antonio Percesepe, Davide Martorana, Maria Ferri, Alessandra Terracciano, Laura Massella, Johanna Chester, Francesca Testa, Giulia Ligabue, Marco Ferrarini, Dino Gibertoni, Gaetano Alfano, Elena Tenedini, Lucia Artuso, Marco Marino, Olga Calabrese, Enrico Tagliafico, Riccardo Magistroni
Institutions: University of Modena and Reggio Emilia, Hospital Universitario Virgen de las Nieves, Complejo Hospitalario Universitario de Granada, Instituto de Salud Carlos III, Centre for Biomedical Network Research on Rare Diseases, Hospital Universitario Fundación Jiménez Díaz, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Azienda Ospedaliero-Universitaria di Modena, Bambino Gesù Children's Hospital, University of Bologna
Language: English
Topic: Genomics and Rare Diseases
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,980
Funder: Ministero della Salute
Award: G6787849562
OpenAlex ID: W4411434159
