Literature DB >> 30977268

Genetic testing in patients with retinitis pigmentosa: Features of unsolved cases.

Johannes Birtel1,2, Martin Gliem1,2,3, Akio Oishi1,4, Philipp L Müller1,2, Philipp Herrmann1,2, Frank G Holz1,2, Elisabeth Mangold5, Michael Knapp6, Hanno J Bolz7,8, Peter Charbel Issa1,2,3.   

Abstract

IMPORTANCE: Uncommon characteristics in genetically unsolved retinitis pigmentosa (RP) patients may indicate an incorrect clinical diagnosis or as yet unknown genetic causes resulting in specific retinal phenotypes. The diagnostic yield of targeted next-generation sequencing may be increased by a reasonable preselection of RP-patients.
BACKGROUND: To systematically evaluate and compare features of genetically solved and unsolved RP-patients.
DESIGN: Retrospective, observational study. PARTICIPANTS: One-hundred and twelve consecutive RP-patients who underwent extensive molecular genetic analysis.
METHODS: Characterization of patients based on multimodal imaging and medical history. MAIN OUTCOME MEASURES: Differences between genetically solved and unsolved RP-patients.
RESULTS: Compared to genetically solved patients (n = 77), genetically unsolved patients (n = 35) more frequently had an age of disease-onset above 30 years (60% vs 8%; P < 0.0001), showed atypical fundus features (49% vs 8%; P < 0. 0001) and indicators for phenocopies (eg, autoimmune diseases) (17% vs 0%; P < 0. 001). Evidence for a particular inheritance pattern was less common (20% vs 49%; P < 0. 01). The diagnostic yield was 84% (71/85) in patients with first symptoms below 30 years-of-age, compared to 69% (77/112) in the overall cohort. The other selection criteria alone or in combination resulted in limited further increase of the diagnostic yield (up to 89%) while excluding considerably more patients (up to 56%) from genetic testing. CONCLUSIONS AND RELEVANCE: The medical history and retinal phenotype differ between genetically solved and a subgroup of unsolved RP-patients, which may reflect undetected genotypes or retinal conditions mimicking RP. Patient stratification may inform on the individual likelihood of identifying disease-causing mutations and may impact patient counselling.
© 2019 Royal Australian and New Zealand College of Ophthalmologists.

Entities:  

Keywords:  genetic testing; inherited retinal dystrophy; next-generation sequencing; phenotyping; retinitis pigmentosa

Year:  2019        PMID: 30977268     DOI: 10.1111/ceo.13516

Source DB:  PubMed          Journal:  Clin Exp Ophthalmol        ISSN: 1442-6404            Impact factor:   4.207


  5 in total

1.  Transcriptome Analyses of lncRNAs in A2E-Stressed Retinal Epithelial Cells Unveil Advanced Links between Metabolic Impairments Related to Oxidative Stress and Retinitis Pigmentosa.

Authors:  Luigi Donato; Concetta Scimone; Simona Alibrandi; Carmela Rinaldi; Antonina Sidoti; Rosalia D'Angelo
Journal:  Antioxidants (Basel)       Date:  2020-04-15

2.  Comprehensive Geno- and Phenotyping in a Complex Pedigree Including Four Different Inherited Retinal Dystrophies.

Authors:  Johannes Birtel; Martin Gliem; Kristina Hess; Theresa H Birtel; Frank G Holz; Ulrich Zechner; Hanno J Bolz; Philipp Herrmann
Journal:  Genes (Basel)       Date:  2020-01-28       Impact factor: 4.096

3.  The need for widely available genomic testing in rare eye diseases: an ERN-EYE position statement.

Authors:  Graeme C Black; Panagiotis Sergouniotis; Andrea Sodi; Bart P Leroy; Caroline Van Cauwenbergh; Petra Liskova; Karen Grønskov; Artur Klett; Susanne Kohl; Gita Taurina; Marius Sukys; Lonneke Haer-Wigman; Katarzyna Nowomiejska; João Pedro Marques; Dorothée Leroux; Frans P M Cremers; Elfride De Baere; Hélène Dollfus
Journal:  Orphanet J Rare Dis       Date:  2021-03-20       Impact factor: 4.123

4.  Effects of A2E-Induced Oxidative Stress on Retinal Epithelial Cells: New Insights on Differential Gene Response and Retinal Dystrophies.

Authors:  Luigi Donato; Rosalia D'Angelo; Simona Alibrandi; Carmela Rinaldi; Antonina Sidoti; Concetta Scimone
Journal:  Antioxidants (Basel)       Date:  2020-04-10

5.  Analysis of imaging biomarkers and retinal nerve fiber layer thickness in RPGR-associated retinitis pigmentosa.

Authors:  Theresa H Birtel; Johannes Birtel; Kristina Hess; Amelie C Clemens; Moritz Lindner; Philipp Herrmann; Frank G Holz; Martin Gliem
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-07-21       Impact factor: 3.117

  5 in total

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