4.4 Article

Expanding the Clinical and Molecular Heterogeneity of Nonsyndromic Inherited Retinal Dystrophies

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JOURNAL OF MOLECULAR DIAGNOSTICS
卷 22, 期 4, 页码 532-543

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.jmoldx.2020.01.003

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资金

  1. Instituto de Salud Carlos III (ISCIII) of the Spanish Ministry of Health
  2. Center for Biomedical Research Network on Rare Diseases (CIBERER)
  3. Fondo de Investigacion Sanitaria grant [PI16/00539]
  4. Spanish National Organization for the Blind (Fundacion ONCE)
  5. Fundacion Mutua Madrilena
  6. CIBERER
  7. Rio Hortega program from ISCIII

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A cohort of 172 patients diagnosed clinically with nonsyndromic retinal dystrophies, from 110 families underwent full ophthalmologic examination, including retinal imaging, electrophysiology, and optical coherence tomography, when feasible. Molecular analysis was performed using targeted next-generation sequencing (NGS). Variants were filtered and prioritized according to the minimum allele frequency, and finally classified according to the American College of Medical Genetics and Genomics guidelines. Multiplex ligation-dependent probe amplification and array comparative genomic hybridization were performed to validate copy number variations identified by NGS. The diagnostic yield of this study was 62% of studied families. Thirty novel mutations were identified. The study found phenotypic intra- and interfamilial variability in families with mutations in C1QTNF5, CERKL, and PROM1; biallelic mutations in PDE6B in a unilateral retinitis pigmentosa patient; interocular asymmetry RP in 50% of the symptomatic RPGR-mutated females; the first case with possible digenism between CNGA1 and CNGB1; and a ROM1 duplication in two unrelated retinitis pigmentosa families. Ten unrelated cases were reclassified. This study highlights the clinical utility of targeted NGS for nonsyndromic inherited retinal dystrophy cases and the importance of full ophthalmologic examination, which allows new genotype-phenotype associations and expands the knowledge of this group of disorders. Identifying the cause of disease is essential to improve patient management, provide accurate genetic counseling, and take advantage of gene therapy-based treatments.

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