scholarly journals Next-Generation Sequencing-Aided Rapid Molecular Diagnosis of Occult Macular Dystrophy in a Chinese Family

2017 ◽  
Vol 8 ◽  
Author(s):  
Yu-He Qi ◽  
Feng-Juan Gao ◽  
Fang-Yuan Hu ◽  
Sheng-Hai Zhang ◽  
Jun-Yi Chen ◽  
...  
2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Isabella Bernardis ◽  
Laura Chiesi ◽  
Elena Tenedini ◽  
Lucia Artuso ◽  
Antonio Percesepe ◽  
...  

To assess the clinical utility of targeted Next-Generation Sequencing (NGS) for the diagnosis of Inherited Retinal Dystrophies (IRDs), a total of 109 subjects were enrolled in the study, including 88 IRD affected probands and 21 healthy relatives. Clinical diagnoses included Retinitis Pigmentosa (RP), Leber Congenital Amaurosis (LCA), Stargardt Disease (STGD), Best Macular Dystrophy (BMD), Usher Syndrome (USH), and other IRDs with undefined clinical diagnosis. Participants underwent a complete ophthalmologic examination followed by genetic counseling. A custom AmpliSeq™ panel of 72 IRD-related genes was designed for the analysis and tested using Ion semiconductor Next-Generation Sequencing (NGS). Potential disease-causing mutations were identified in 59.1% of probands, comprising mutations in 16 genes. The highest diagnostic yields were achieved for BMD, LCA, USH, and STGD patients, whereas RP confirmed its high genetic heterogeneity. Causative mutations were identified in 17.6% of probands with undefined diagnosis. Revision of the initial diagnosis was performed for 9.6% of genetically diagnosed patients. This study demonstrates that NGS represents a comprehensive cost-effective approach for IRDs molecular diagnosis. The identification of the genetic alterations underlying the phenotype enabled the clinicians to achieve a more accurate diagnosis. The results emphasize the importance of molecular diagnosis coupled with clinic information to unravel the extensive phenotypic heterogeneity of these diseases.


2018 ◽  
Vol 103 (3) ◽  
pp. 428-435 ◽  
Author(s):  
Junting Huang ◽  
Jiewen Fu ◽  
Shangyi Fu ◽  
Lisha Yang ◽  
Kailai Nie ◽  
...  

Background/AimGyrate atrophy of the choroid and retina (GACR) is an extremely rare autosomal recessive inherited disorder characterised by progressive vision loss. To identify the disease-causing gene in a consanguineous Chinese pedigree with GACR, we aimed to accurately diagnose patients with GACR through a combination of next-generation sequencing (NGS) genetic diagnosis, clinical imaging and amino acid metabolic analysis.MethodsA consanguineous Chinese pedigree with GACR, including two patients, was recruited and a comprehensive ophthalmological evaluation was performed. DNA was extracted from a proband and her family members, and the sample from the proband was analysed using targeted NGS. Variants ‎detected by NGS were confirmed by Sanger sequencing and subjected to segregation analysis. Tandem mass spectrometry (MS/MS) was subsequently performed for metabolic assessment.ResultsWe identified a ‎novel, deleterious, homologous ornithine aminotransferase (OAT) variant, c.G248A: p.S83N, which contributes to ‎the progression of GACR in patients. Our results showed that the p.S83N autosomal recessive ‎variant of OAT is most likely ‎pathogenic, with changes in protein stability drastically decreasing functionality. MS/MS verified that ornithine levels in patients were significantly elevated.ConclusionsRecruitment of a third-degree first cousin consanguineous marriage family with GACR allowed us to identify a novel pathogenicOATvariant in the Chinese population, broadening the mutation spectrum. Our findings reported the diagnostic value of a combination of NGS, retinal imaging and metabolic analysis of consanguineous marriage pedigrees in low-income/middle-income and low-incidence countries, including China, and may help to guide accurate diagnosis and ‎treatment of this disease.


PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e83607 ◽  
Author(s):  
Dario de Biase ◽  
Michela Visani ◽  
Umberto Malapelle ◽  
Francesca Simonato ◽  
Valentina Cesari ◽  
...  

HLA ◽  
2018 ◽  
Vol 92 (5) ◽  
pp. 320-321 ◽  
Author(s):  
Dan Peng ◽  
Haixia Li ◽  
Zhiyuan Wang ◽  
Riga Wu ◽  
Hongyu Sun

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