Centromere protein I (CENPI) is a candidate gene for X-linked steroid sensitive nephrotic syndrome.
Centromere protein I
Mutation
Steroid sensitive nephrotic syndrome
Whole exome sequencing
Journal
Journal of nephrology
ISSN: 1724-6059
Titre abrégé: J Nephrol
Pays: Italy
ID NLM: 9012268
Informations de publication
Date de publication:
Aug 2020
Aug 2020
Historique:
received:
24
09
2019
accepted:
21
12
2019
pubmed:
9
1
2020
medline:
3
8
2021
entrez:
9
1
2020
Statut:
ppublish
Résumé
Individuals with proteinuria in association with hypoalbuminemia, edema, and hyperlipidemia are considered as having nephrotic syndrome (NS). NS is the most common kidney disease seen in the paediatric age group. NS is usually classified into steroid resistant nephrotic syndrome (SRNS) and steroid sensitive nephrotic syndrome (SSNS). More than 58 genes have been identified as a monogenic cause of SRNS, however, the genetic architecture of childhood SSNS remains poorly understood. Here in this study, we performed sequencing of 66 NS candidate genes followed by whole genome SNP genotyping and whole exome sequencing in SSNS families with multiple affected individuals. NS candidate genes sequencing did not identify any pathogenic variant in the known genes. Homozygosity mapping based on an autosomal recessive model failed to detect any shared loss of heterozygosity region in the genome. An unbiased and hypothesis-free exome data analysis identified a missense variant (c.383G>A; p.Arg128Gln) in the CENPI gene. Sanger sequencing of both parents, unaffected and affected individuals confirmed an X-linked inheritance pattern of the variant (c.383G>A) with SSNS phenotype. The variant (c.383G>A) is very rare and is potentially damaging. Collectively, these observations suggest that a specific pathogenic link between SSNS development and alteration in CENPI exists. However, human mutations in CENPI causing SSNS have not been reported hitherto. Identification of genetic defects underlying SSNS will help in understanding the precise aetiology of SSNS and improved management of children with NS.
Sections du résumé
BACKGROUND
BACKGROUND
Individuals with proteinuria in association with hypoalbuminemia, edema, and hyperlipidemia are considered as having nephrotic syndrome (NS). NS is the most common kidney disease seen in the paediatric age group. NS is usually classified into steroid resistant nephrotic syndrome (SRNS) and steroid sensitive nephrotic syndrome (SSNS). More than 58 genes have been identified as a monogenic cause of SRNS, however, the genetic architecture of childhood SSNS remains poorly understood.
METHODS
METHODS
Here in this study, we performed sequencing of 66 NS candidate genes followed by whole genome SNP genotyping and whole exome sequencing in SSNS families with multiple affected individuals.
RESULTS
RESULTS
NS candidate genes sequencing did not identify any pathogenic variant in the known genes. Homozygosity mapping based on an autosomal recessive model failed to detect any shared loss of heterozygosity region in the genome. An unbiased and hypothesis-free exome data analysis identified a missense variant (c.383G>A; p.Arg128Gln) in the CENPI gene. Sanger sequencing of both parents, unaffected and affected individuals confirmed an X-linked inheritance pattern of the variant (c.383G>A) with SSNS phenotype. The variant (c.383G>A) is very rare and is potentially damaging.
CONCLUSION
CONCLUSIONS
Collectively, these observations suggest that a specific pathogenic link between SSNS development and alteration in CENPI exists. However, human mutations in CENPI causing SSNS have not been reported hitherto. Identification of genetic defects underlying SSNS will help in understanding the precise aetiology of SSNS and improved management of children with NS.
Identifiants
pubmed: 31912435
doi: 10.1007/s40620-019-00692-1
pii: 10.1007/s40620-019-00692-1
doi:
Substances chimiques
CENPI protein, human
0
DNA-Binding Proteins
0
Steroids
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
763-769Subventions
Organisme : King Abdulaziz City for Science and Technology
ID : 13‑MED2088‑05