Beyond the kidney biopsy: genomic approach to undetermined kidney diseases.

chronic kidney disease exome sequencing undetermined nephropathy

Journal

Clinical kidney journal
ISSN: 2048-8505
Titre abrégé: Clin Kidney J
Pays: England
ID NLM: 101579321

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 19 12 2022
medline: 8 1 2024
pubmed: 8 1 2024
entrez: 8 1 2024
Statut: epublish

Résumé

According to data from large national registries, almost 20%-25% of patients with end-stage kidney disease have an undetermined kidney disease (UKD). Recent data have shown that monogenic disease-causing variants are under-diagnosed. We performed exome sequencing (ES) on UKD patients in our center to improve the diagnosis rate. ES was proposed in routine practice for patients with UKD including kidney biopsy from January 2019 to December 2021. Mutations were detected using a targeted bioinformatic customized kidney gene panel (675 genes). The pathogenicity was assessed using American College of Medical Genetics guidelines. We included 230 adult patients, median age 47.5 years. Consanguinity was reported by 25 patients. A family history of kidney disease was documented in 115 patients (50%). Kidney biopsies were either inconclusive in 69 patients (30.1%) or impossible in 71 (30.9%). We detected 28 monogenic renal disorders in 75 (32.6%) patients. Collagenopathies was the most common genetic kidney diagnosis (46.7%), with Genetic diagnosis has provided new clinical insights by clarifying or reclassifying kidney disease etiology in over a third of UKD patients. Exome "first" may have a significant positive diagnostic yield, thus avoiding invasive kidney biopsy; moreover, the diagnostic yield remains elevated even when biopsy is impossible or inconclusive. ES provides a clinical benefit for routine nephrological healthcare in patients with UKD.

Sections du résumé

Background UNASSIGNED
According to data from large national registries, almost 20%-25% of patients with end-stage kidney disease have an undetermined kidney disease (UKD). Recent data have shown that monogenic disease-causing variants are under-diagnosed. We performed exome sequencing (ES) on UKD patients in our center to improve the diagnosis rate.
Methods UNASSIGNED
ES was proposed in routine practice for patients with UKD including kidney biopsy from January 2019 to December 2021. Mutations were detected using a targeted bioinformatic customized kidney gene panel (675 genes). The pathogenicity was assessed using American College of Medical Genetics guidelines.
Results UNASSIGNED
We included 230 adult patients, median age 47.5 years. Consanguinity was reported by 25 patients. A family history of kidney disease was documented in 115 patients (50%). Kidney biopsies were either inconclusive in 69 patients (30.1%) or impossible in 71 (30.9%). We detected 28 monogenic renal disorders in 75 (32.6%) patients. Collagenopathies was the most common genetic kidney diagnosis (46.7%), with
Conclusion UNASSIGNED
Genetic diagnosis has provided new clinical insights by clarifying or reclassifying kidney disease etiology in over a third of UKD patients. Exome "first" may have a significant positive diagnostic yield, thus avoiding invasive kidney biopsy; moreover, the diagnostic yield remains elevated even when biopsy is impossible or inconclusive. ES provides a clinical benefit for routine nephrological healthcare in patients with UKD.

Identifiants

pubmed: 38186885
doi: 10.1093/ckj/sfad099
pii: sfad099
pmc: PMC10765093
doi:

Types de publication

Journal Article

Langues

eng

Pagination

sfad099

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the ERA.

Déclaration de conflit d'intérêts

All the authors declared no competing interests.

Auteurs

Thomas Robert (T)

Centre of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France.
Marseille Medical Genetics, Bioinformatics & Genetics, INSERM U1251, Aix-Marseille Université, Marseille, France.

Laure Raymond (L)

Genetics Department, Laboratoire Eurofins Biomnis, Lyon, France.

Marine Dancer (M)

Genetics Department, Laboratoire Eurofins Biomnis, Lyon, France.

Julia Torrents (J)

Department of Renal Pathology, CHU Timone, AP-HM, Marseille, France.

Noémie Jourde-Chiche (N)

Centre of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France.
Aix-Marseille Univ, INSERM, INRAE, C2VN, Marseille, France.

Stéphane Burtey (S)

Centre of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France.
Aix-Marseille Univ, INSERM, INRAE, C2VN, Marseille, France.

Christophe Béroud (C)

Marseille Medical Genetics, Bioinformatics & Genetics, INSERM U1251, Aix-Marseille Université, Marseille, France.

Laurent Mesnard (L)

Urgences Néphrologiques et Transplantation Rénale, Sorbonne Université, APHP, Hôpital Tenon, Paris, France.

Classifications MeSH