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Accès ouvert déclaré 2022 article

Analysis of chronic kidney disease patients by targeted next-generation sequencing identifies novel variants in kidney-related genes

5Citations signalées, ce qui n’est pas une note de qualité
10Institutions déclarées
2Pays d’affiliation déclarés

Rattachement africain : sa, us. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Despite the enormous economic and societal burden of chronic kidney disease (CKD), its pathogenesis remains elusive, impeding specific diagnosis and targeted therapy. Herein, we sought to elucidate the genetic causes of end-stage renal disease (ESRD) and identify genetic variants associated with CKD and related traits in Saudi kidney disease patients. We applied a genetic testing approach using a targeted next-generation sequencing gene panel including 102 genes causative or associated with CKD. A total of 1,098 Saudi participants were recruited for the study, including 534 patients with ESRD and 564 healthy controls. The pre-validated NGS panel was utilized to screen for genetic variants, and then, statistical analysis was conducted to test for associations. The NGS panel revealed 7,225 variants in 102 sequenced genes. Cases had a significantly higher number of confirmed pathogenic variants as classified by the ClinVar database than controls (i.e., individuals with at least one allele of a confirmed pathogenic variant that is associated with CKD; 279 (0.52) vs. 258 (0.45); p -value = 0.03). A total of 13 genetic variants were found to be significantly associated with ESRD in PLCE1 , CLCN5 , ATP6V1B1 , LAMB2 , INVS , FRAS1 , C5orf42 , SLC12A3 , COL4A6 , SLC3A1 , RET , WNK1 , and BICC1 , including four novel variants that were not previously reported in any other population. Furthermore, studies are necessary to validate these associations in a larger sample size and among individuals of different ethnic groups.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Analysis of chronic kidney disease patients by targeted next-generation sequencing identifies novel variants in kidney-related genes
Date Crossref
11/08/2022
Éditeur
Frontiers Media SA
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

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Les sujets associés

Renal Diseases and GlomerulopathiesChronic Kidney Disease and DiabetesGenetic Syndromes and Imprinting

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