Targeted next-generation sequencing in steroid-resistant nephrotic syndrome : mutations in multiple glomerular genes may influence disease severity

Author

Bullich Vilanova, Gemma

Trujillano, Daniel

Santín, Sheila

Ossowski, Stephan

Mendizábal, Santiago

Fraga Rodríguez, Gloria María

Madrid, Alvaro

Ariceta Iraola, Gema

Ballarín Castan, José Aurelio

Torra Balcells, Roser

Estivill, Xavier

Ars, Elisabet

Publication date

2014

Abstract

Altres ajuts: Fundación Renal Iñigo Álvarez de Toledo (FRIAT)


Genetic diagnosis of steroid-resistant nephrotic syndrome (SRNS) using Sanger sequencing is complicated by the high genetic heterogeneity and phenotypic variability of this disease. We aimed to improve the genetic diagnosis of SRNS by simultaneously sequencing 26 glomerular genes using massive parallel sequencing and to study whether mutations in multiple genes increase disease severity. High-throughput mutation analysis was performed in 50 SRNS and/or focal segmental glomerulosclerosis (FSGS) patients, a validation cohort of 25 patients with known pathogenic mutations, and a discovery cohort of 25 uncharacterized patients with probable genetic etiology. In the validation cohort, we identified the 42 previously known pathogenic mutations across NPHS1, NPHS2, WT1, TRPC6, and INF2 genes. In the discovery cohort, disease-causing mutations in SRNS/FSGS genes were found in nine patients. We detected three patients with mutations in an SRNS/FSGS gene and COL4A3. Two of them were familial cases and presented a more severe phenotype than family members with mutation in only one gene. In conclusion, our results show that massive parallel sequencing is feasible and robust for genetic diagnosis of SRNS/FSGS. Our results indicate that patients carrying mutations in an SRNS/FSGS gene and also in COL4A3 gene have increased disease severity.

Document Type

Article

Language

English

Subjects and keywords

Steroid-resistant nephrotic syndrome; SRNS; Genetic diagnosis; Focal segmental glomerulosclerosis; FSGS

Publisher

 

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European Journal of Human Genetics ; Vol. 23 (november 2014), p. 1192-1199

Rights

open access

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