Whole genome sequencing identifies monogenic disease in 56.1% of families with early-onset steroid-resistant nephrotic syndrome

Genetic causes of steroid-resistant-nephrotic-syndrome (SRNS) represent a rapidly growing number of monogenic diseases. The reported diagnostic yield of various studies applying genetic panels and exome-sequencing to diagnose SRNS is usually < 30%. We performed genome-sequencing in a cohort of Egyptian SRNS patients. We recruited 47 SRNS patients belonging to 41 unrelated families [28 males/19 females; median (range): 6 (0.5-22 years)]. We established a pipeline for genome sequencing, bioinformatics analysis, variant curation and protein modeling at the Egypt Center for Research and Regenerative Medicine (ECRRM). Disease-causing variants were detected in 27/47 patients (57.4%) belonging to 23/41 families (56.1%), including nine novel variants in NPHS1, NPHS2, COL4A3, MYO1E, NUP93, PLCE1, PODXL, SMARCAL1 and WT1. Novel variants were confirmed by Sanger sequencing and were segregated in families of affected patients. NPHS2 was the most common causative gene in 8/23 (34.8%) of confirmed families, followed by NPHS1, WT1, and SMARCAL1 in 2/23 families (8.7%) each. All detected missense variants were evaluated through protein modeling and were predicted deleterious. Our study expanded the spectrum of SRNS disease-causing variants and revealed a monogenic cause in 56.1% of investigated families. In our cohort, no deep intronic or regulatory variants were detected by genome-sequencing. Pursuing genetic diagnosis in SRNS patients is crucial to inform clinical decision making, genetic counseling, transplantation strategy and prenatal diagnosis thus improving clinical outcome of affected patients.

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Publication Details

Journal
Human Genetics
Published
2025-05-22
DOI
https://doi.org/10.1007/s00439-025-02752-y
Citations
3
Primary Topic
Renal Diseases and Glomerulopathies
Type
article
Field-Weighted Citation Impact
4.29

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article

Whole genome sequencing identifies monogenic disease in 56.1% of families with early-onset steroid-resistant nephrotic syndrome

Yasmeen K Farouk, Khaled Amer, Neveen A. Soliman, Sheri M. Saleeb et al.
3 citations
Human Genetics
Renal Diseases and Glomerulopathies
4.29
article

Whole genome sequencing identifies monogenic disease in 56.1% of families with early-onset steroid-resistant nephrotic syndrome

Yasmeen K Farouk, Khaled Amer, Neveen A. Soliman, Sheri M. Saleeb, Usama Bakry, Fatma M. Atia, Eman Ramadan, Asmaa Ali, Wael A. Hassan, Ahmed Elmahy, Ahmed Moustafa, Rasha Helmy, Tarek Elnagdy, Mohamed A. Elmonem, Fadya M. Elgarhy, Tokka M Hassan, Ahmed Badr, Ahmed Ragheb, Ahmed Abd El-Raouf, Ahmed Fikry El-Sayed, May O Amer, Omnia M Abdel-Haseb, Ahmed El-Hosseiny, Tasnim A Ghanim, Mahynour Albarbary
article en
3 citations

Abstract

Genetic causes of steroid-resistant-nephrotic-syndrome (SRNS) represent a rapidly growing number of monogenic diseases. The reported diagnostic yield of various studies applying genetic panels and exome-sequencing to diagnose SRNS is usually < 30%. We performed genome-sequencing in a cohort of Egyptian SRNS patients. We recruited 47 SRNS patients belonging to 41 unrelated families [28 males/19 females; median (range): 6 (0.5-22 years)]. We established a pipeline for genome sequencing, bioinformatics analysis, variant curation and protein modeling at the Egypt Center for Research and Regenerative Medicine (ECRRM). Disease-causing variants were detected in 27/47 patients (57.4%) belonging to 23/41 families (56.1%), including nine novel variants in NPHS1, NPHS2, COL4A3, MYO1E, NUP93, PLCE1, PODXL, SMARCAL1 and WT1. Novel variants were confirmed by Sanger sequencing and were segregated in families of affected patients. NPHS2 was the most common causative gene in 8/23 (34.8%) of confirmed families, followed by NPHS1, WT1, and SMARCAL1 in 2/23 families (8.7%) each. All detected missense variants were evaluated through protein modeling and were predicted deleterious. Our study expanded the spectrum of SRNS disease-causing variants and revealed a monogenic cause in 56.1% of investigated families. In our cohort, no deep intronic or regulatory variants were detected by genome-sequencing. Pursuing genetic diagnosis in SRNS patients is crucial to inform clinical decision making, genetic counseling, transplantation strategy and prenatal diagnosis thus improving clinical outcome of affected patients.

Human GeneticsVol. 144(7)
Cairo University (EG), British University in Egypt (EG), Egypt Nanotechnology Center (EG), Egypt Center for Research and Regenerative Medicine (EG), National Research Centre (EG), Egyptian Information Telecommunications Electronics and Software Alliance (EG), American University in Cairo (EG)
Cairo University
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Renal Diseases and Glomerulopathies
4.29
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