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This study investigates the genetic basis of retinal diseases in four consanguineous families from Pakistan, focusing on mutations in the CNGA3, CACNA1F, and RPGRIP1 genes that are implicated in retinal dysfunctions such as achromatopsia, congenital stationary night blindness, and retinal dystrophies. We identified pathogenic variants in these genes, including the novel missense mutation c.955T > C; p.Cys319Arg in CNGA3 (Family 1), the frameshift mutation c.1443dupT; p.Ile482Hisfs*6 in CNGA3 (Family 2), the missense mutation c.2254G > A; p.Val752Met in CACNA1F (Family 3), and the frameshift mutation c.2789dupT; p.Pro931Thrfs*3 in RPGRIP1 (Family 4). Clinical features associated with these mutations include nystagmus, photophobia, reduced visual acuity, and color vision deficiency, with some patients progressing to complete blindness. The findings were validated through Sanger sequencing, segregation analysis, and in silico prediction tools. Additionally, molecular dynamics simulations were conducted to assess the impact of the CNGA3 p.Cys319Arg mutation on protein structure, revealing significant alterations in protein conformation and dynamics. These results highlight the significance of CNGA3, CACNA1F, and RPGRIP1 in retinal health and provide valuable insights into the genetic underpinnings of retinal disorders. Our findings contribute to improved genetic counseling, potential targeted therapies, and a deeper understanding of inherited retinal diseases.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0327176 | PLOS |
PLoS One
July 2025
Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
This study investigates the genetic basis of retinal diseases in four consanguineous families from Pakistan, focusing on mutations in the CNGA3, CACNA1F, and RPGRIP1 genes that are implicated in retinal dysfunctions such as achromatopsia, congenital stationary night blindness, and retinal dystrophies. We identified pathogenic variants in these genes, including the novel missense mutation c.955T > C; p.
View Article and Find Full Text PDFMol Syndromol
June 2024
Department of Medical Genetics, Konya City Hospital, Konya, Turkey.
Introduction: Inherited retinal dystrophies (IRDs) associated with more than 300 genes are a clinically and genetically heterogeneous group of retinal diseases. This study aimed to identify causative gene variants and molecular basis of Turkish patients with IRD.
Methods: Whole-exome sequencing was performed in 28 unrelated patients.
Ophthalmic Genet
October 2021
Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, Korea.
: Infantile nystagmus syndrome (INS) is a genetically heterogeneous disorder. Identifying genetic causes of INS would help clinicians to facilitate clinical diagnosis and provide appropriate treatment. The aim of this study was to determine the diagnostic utility of targeted next-generation sequencing (NGS) for INS.
View Article and Find Full Text PDFEur J Paediatr Neurol
March 2021
Research & Innovation (R&I Genetics), Padova, Italy.
Background And Objective: Inherited retinal dystrophies (IRDs) are a major cause of childhood blindness. Timely diagnosis requires a high level of clinical suspicion from both neurologists and ophthalmologists and is increasingly important given recent advancements in gene therapy. We focused our study on genotype-phenotype associations in very early-onset forms of retinal dystrophy, the least well characterized and most challenging diagnostic subgroup.
View Article and Find Full Text PDFExp Eye Res
May 2016
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China. Electronic address:
Cone-rod dystrophy (CORD) is a common form of inherited retinal degeneration. Previously, we have conducted serial mutational analysis in probands with CORD either by Sanger sequencing or whole exome sequencing (WES). In the current study, variants in all genes from RetNet were selected from the whole exome sequencing data of 108 CORD probands (including 61 probands reported here for the first time) and were analyzed by multistep bioinformatics analysis, followed by Sanger sequencing and segregation validation.
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