CERKL mutation causing retinitis pigmentosa(RP) in Indian population - a genotype and phenotype correlation study
- PMID: 32865075
- DOI: 10.1080/13816810.2020.1814347
CERKL mutation causing retinitis pigmentosa(RP) in Indian population - a genotype and phenotype correlation study
Abstract
Background: Mutations in CERKL gene has been reported to cause Retinitis pigmentosa (RP) and clinically appears discrete from other commonly encountered phenotypes. We report 14 patients who were seen to have CERKL mutation of the 152 patients of RP from Indian population who underwent genetic testing.
Materials and methods: A retrospective analysis was performed in 28 eyes of the 14 unrelated patients to establish genotype phenotype correlation. Targeted next generation sequencing was performed using the STRAND® NGS v2.5 software. Validation was done using PCR-based bidirectional Sanger sequencing. Clinical data was collected along with imaging such as fundus photo, autofluorescence(AF), Optical coherence tomography and Electroretinogram wherever available.
Results: Three variants c.1045_1046delAT, c.847 C > T and a novel c.899-IG>A were identified. Retinal morphological features were typically bilaterally symmetrical with mild to moderate disc pallor and arteriolar attenuation in all cases, while sparse peripheral pigmentation was noted in seven patients indicating paucipigmentary character. Early macular involvement in all cases was a characteristic finding with central hypo-autofluorescence and surrounding hyper-autofluorescence. Peripheral scalloped chorioretinal atrophic patches were seen in five patients particularly in older patients.
Conclusions: Phenotype associated with CERKL mutation appears clinically discrete from other commonly encountered phenotypes of inherited retinal dystrophies. Recognizing this typical genotype phenotype correlation will help clinicians to identify this form of RP, prognosticate the disease and segregate candidates for futures gene therapy.
Keywords: CERKL gene; CERKL in RP; CERKL mutation; early macular involvement in RP; genotype-phenotype correlation; paucipigmentary retinitis pigmentosa (RP).
Similar articles
-
Next-generation sequencing--based genetic testing and phenotype correlation in retinitis pigmentosa patients from India.Indian J Ophthalmol. 2023 Jun;71(6):2512-2520. doi: 10.4103/IJO.IJO_2579_22. Indian J Ophthalmol. 2023. PMID: 37322672 Free PMC article.
-
Genetic and Clinical Findings in an Ethnically Diverse Cohort with Retinitis Pigmentosa Associated with Pathogenic Variants in CERKL.Genes (Basel). 2020 Dec 12;11(12):1497. doi: 10.3390/genes11121497. Genes (Basel). 2020. PMID: 33322828 Free PMC article. Clinical Trial.
-
CERKL mutations and associated phenotypes in seven Spanish families with autosomal recessive retinitis pigmentosa.Invest Ophthalmol Vis Sci. 2008 Jun;49(6):2709-13. doi: 10.1167/iovs.07-0865. Invest Ophthalmol Vis Sci. 2008. PMID: 18515597
-
Non-syndromic retinitis pigmentosa.Prog Retin Eye Res. 2018 Sep;66:157-186. doi: 10.1016/j.preteyeres.2018.03.005. Epub 2018 Mar 27. Prog Retin Eye Res. 2018. PMID: 29597005 Review.
-
Genes and mutations causing retinitis pigmentosa.Clin Genet. 2013 Aug;84(2):132-41. doi: 10.1111/cge.12203. Epub 2013 Jun 19. Clin Genet. 2013. PMID: 23701314 Free PMC article. Review.
Cited by
-
Next-generation sequencing--based genetic testing and phenotype correlation in retinitis pigmentosa patients from India.Indian J Ophthalmol. 2023 Jun;71(6):2512-2520. doi: 10.4103/IJO.IJO_2579_22. Indian J Ophthalmol. 2023. PMID: 37322672 Free PMC article.
-
Genetics of Inherited Retinal Diseases in Understudied Populations.Front Genet. 2022 Feb 28;13:858556. doi: 10.3389/fgene.2022.858556. eCollection 2022. Front Genet. 2022. PMID: 35295952 Free PMC article. Review.
-
Genetic and Clinical Findings in an Ethnically Diverse Cohort with Retinitis Pigmentosa Associated with Pathogenic Variants in CERKL.Genes (Basel). 2020 Dec 12;11(12):1497. doi: 10.3390/genes11121497. Genes (Basel). 2020. PMID: 33322828 Free PMC article. Clinical Trial.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
Molecular Biology Databases
