Prevalence of ABCA4 Deep-Intronic Variants ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
PMID :
URL permanente :
Titre :
Prevalence of ABCA4 Deep-Intronic Variants and Related Phenotype in An Unsolved “One-Hit” Cohort with Stargardt Disease
Auteur(s) :
Nassisi, Marco [Auteur]
Centre d'investigation clinique Quinze-Vingts [CHNO] [CIC1423 - CIC QUINZE-VINGTS]
Mohand-Said, Saddek [Auteur]
Institut de la Vision
Andrieu, Camille [Auteur]
Centre d'investigation clinique Quinze-Vingts [CHNO] [CIC1423 - CIC QUINZE-VINGTS]
Antonio, Aline [Auteur]
Institut de la Vision
Condroyer, Christel [Auteur]
Institut de la Vision
Mejecase, Cecile [Auteur]
Institut de la Vision
Varin, Juliette [Auteur]
Institut de la Vision
Wohlschlegel, Juliette [Auteur]
Institut de la Vision
DHAENENS, Claire-Marie [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Sahel, Jose-Alain [Auteur]
Centre d'investigation clinique Quinze-Vingts [CHNO] [CIC1423 - CIC QUINZE-VINGTS]
Zeitz, Christina [Auteur]
Institut de la Vision
Audo, Isabelle [Auteur]
Institut de la Vision
Centre d'investigation clinique Quinze-Vingts [CHNO] [CIC1423 - CIC QUINZE-VINGTS]
Mohand-Said, Saddek [Auteur]
Institut de la Vision
Andrieu, Camille [Auteur]
Centre d'investigation clinique Quinze-Vingts [CHNO] [CIC1423 - CIC QUINZE-VINGTS]
Antonio, Aline [Auteur]
Institut de la Vision
Condroyer, Christel [Auteur]
Institut de la Vision
Mejecase, Cecile [Auteur]
Institut de la Vision
Varin, Juliette [Auteur]
Institut de la Vision
Wohlschlegel, Juliette [Auteur]
Institut de la Vision
DHAENENS, Claire-Marie [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Sahel, Jose-Alain [Auteur]
Centre d'investigation clinique Quinze-Vingts [CHNO] [CIC1423 - CIC QUINZE-VINGTS]
Zeitz, Christina [Auteur]
Institut de la Vision
Audo, Isabelle [Auteur]
Institut de la Vision
Titre de la revue :
International Journal of Molecular Sciences
Nom court de la revue :
Int J Mol Sci
Numéro :
20
Pagination :
5053
Date de publication :
2019-10-11
ISSN :
1422-0067
Mot(s)-clé(s) :
ABCA4
Stargardt disease
genotype-phenotype correlation
deep-intronic variants
Stargardt disease
genotype-phenotype correlation
deep-intronic variants
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
We investigated the prevalence of reported deep-intronic variants in a French cohort of 70 patients with Stargardt disease harboring a monoallelic pathogenic variant on the exonic regions of ABCA4. Direct Sanger sequencing ...
Lire la suite >We investigated the prevalence of reported deep-intronic variants in a French cohort of 70 patients with Stargardt disease harboring a monoallelic pathogenic variant on the exonic regions of ABCA4. Direct Sanger sequencing of selected intronic regions of ABCA4 was conducted. Complete phenotypic analysis and correlation with the genotype was performed in case a known intronic pathogenic variant was identified. All other variants found on the analyzed sequences were queried for minor allele frequency and possible pathogenicity by in silico predictions. The second mutated allele was found in 14 (20%) subjects. The three known deep-intronic variants found were c.5196+1137G>A in intron 36 (6 subjects), c.4539+2064C>T in intron 30 (4 subjects) and c.4253+43G>A in intron 28 (4 subjects). Even though the phenotype depends on the compound effect of the biallelic variants, a genotype-phenotype correlation suggests that the c.5196+1137G>A was mostly associated with a mild phenotype and the c.4539+2064C>T with a more severe one. A variable effect was instead associated with the variant c.4253+43G>A. In addition, two novel variants, c.768+508A>G and c.859-245_859-243delinsTGA never associated with Stargardt disease before, were identified and a possible splice defect was predicted in silico. Our study calls for a larger cohort analysis including targeted locus sequencing and 3D protein modeling to better understand phenotype-genotype correlations associated with deep-intronic changes and patients’ selection for clinical trials.Lire moins >
Lire la suite >We investigated the prevalence of reported deep-intronic variants in a French cohort of 70 patients with Stargardt disease harboring a monoallelic pathogenic variant on the exonic regions of ABCA4. Direct Sanger sequencing of selected intronic regions of ABCA4 was conducted. Complete phenotypic analysis and correlation with the genotype was performed in case a known intronic pathogenic variant was identified. All other variants found on the analyzed sequences were queried for minor allele frequency and possible pathogenicity by in silico predictions. The second mutated allele was found in 14 (20%) subjects. The three known deep-intronic variants found were c.5196+1137G>A in intron 36 (6 subjects), c.4539+2064C>T in intron 30 (4 subjects) and c.4253+43G>A in intron 28 (4 subjects). Even though the phenotype depends on the compound effect of the biallelic variants, a genotype-phenotype correlation suggests that the c.5196+1137G>A was mostly associated with a mild phenotype and the c.4539+2064C>T with a more severe one. A variable effect was instead associated with the variant c.4253+43G>A. In addition, two novel variants, c.768+508A>G and c.859-245_859-243delinsTGA never associated with Stargardt disease before, were identified and a possible splice defect was predicted in silico. Our study calls for a larger cohort analysis including targeted locus sequencing and 3D protein modeling to better understand phenotype-genotype correlations associated with deep-intronic changes and patients’ selection for clinical trials.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CHU Lille
Inserm
Université de Lille
Inserm
Université de Lille
Collections :
Équipe(s) de recherche :
Alzheimer et Tauopathies
Date de dépôt :
2021-06-23T13:44:08Z
2023-01-04T10:47:25Z
2023-01-04T10:47:25Z
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