Browse by author
Lookup NU author(s): Professor John SayerORCiD
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2022 Wiley Periodicals LLC.The use of genetic testing within nephrology is increasing and its diagnostic yield depends on the methods utilized, patient selection criteria, and population characteristics. We performed exome sequencing (ES) analysis on 102 chronic kidney disease (CKD) patients with likely genetic kidney disease. Patients had diverse CKD subtypes with/without consanguinity, positive family history, and possible hereditary renal syndrome with extra-renal abnormalities or progressive kidney disease of unknown etiology. The identified genetic variants associated with the observed kidney phenotypes were then confirmed and reported. End-stage kidney disease was reported in 51% of the cohort and a family history of kidney disease in 59%, while known consanguinity was reported in 54%. Pathogenic/likely pathogenic variants were identified in 43 patients with a diagnostic yield of 42%, and clinically associated variants of unknown significance (VUS) were identified in further 21 CKD patients (21%). A total of eight novel predicted pathogenic variants and eight VUS were detected. The clinical utility of ES within the nephrology clinic was demonstrated allowing patient management to be disease-specific. In this cohort, ES detected a diagnostic molecular abnormality in 42% of patients with CKD phenotypes. Positive family history and high rates of consanguinity likely contributed to this high diagnostic yield.
Author(s): Al-Hamed MH, Hussein MH, Shah Y, Al-Mojalli H, Alsabban E, Alshareef T, Altayyar A, Elshouny S, Ali W, Abduljabbar M, AlOtaibi A, AlShammasi A, Akili R, Abouelhoda M, Sayer JA, Dasouki MJ, Imtiaz F
Publication type: Article
Publication status: Published
Journal: Human Mutation
Year: 2022
Volume: 43
Issue: 12
Pages: e24-e37
Print publication date: 01/12/2022
Online publication date: 30/09/2022
Acceptance date: 26/09/2022
ISSN (print): 1059-7794
ISSN (electronic): 1098-1004
Publisher: John Wiley and Sons Inc
URL: https://doi.org/10.1002/humu.24480
DOI: 10.1002/humu.24480
PubMed id: 36177613
Altmetrics provided by Altmetric