Elsevier

Ophthalmology

Volume 121, Issue 11, November 2014, Pages 2124-2137.e2
Ophthalmology

Original article
Personalized Diagnosis and Management of Congenital Cataract by Next-Generation Sequencing

https://doi.org/10.1016/j.ophtha.2014.06.006Get rights and content

Purpose

To assess the utility of integrating genomic data from next-generation sequencing and phenotypic data to enhance the diagnosis of bilateral congenital cataract (CC).

Design

Evaluation of diagnostic technology.

Participants

Thirty-six individuals diagnosed with nonsyndromic or syndromic bilateral congenital cataract were selected for investigation through a single ophthalmic genetics clinic.

Methods

Participants underwent a detailed ophthalmic examination, accompanied by dysmorphology assessment where appropriate. Lenticular, ocular, and systemic phenotypes were recorded. Mutations were detected using a custom-designed target enrichment that permitted parallel analysis of 115 genes associated with CC by high-throughput, next-generation DNA sequencing (NGS). Thirty-six patients and a known positive control were tested. Suspected pathogenic variants were confirmed by bidirectional Sanger sequencing in relevant probands and other affected family members.

Main Outcome Measures

Molecular genetic results and details of clinical phenotypes were identified.

Results

Next-generation DNA sequencing technologies are able to determine the precise genetic cause of CC in 75% of individuals, and 85% patients with nonsyndromic CC were found to have likely pathogenic mutations, all of which occurred in highly conserved domains known to be vital for normal protein function. The pick-up rate in patients with syndromic CC also was high, with 63% having potential disease-causing mutations.

Conclusions

This analysis demonstrates the clinical utility of this test, providing examples where it altered clinical management, directed care pathways, and enabled more accurate genetic counseling. This comprehensive screen will extend access to genetic testing and lead to improved diagnostic and management outcomes through a stratified medicine approach. Establishing more robust genotype–phenotype correlations will advance knowledge of cataract-forming mechanisms.

Section snippets

Recruitment and Selection of Patients with Congenital Cataract

Patients with CC were diagnosed through the National Health Service (NHS) ophthalmic genetics clinic at Saint Mary's Hospital (Manchester). A 3-generation family history and a full medical history were obtained from all patients, and all patients underwent a detailed ophthalmic examination. Where additional problems or dysmorphic features were present, a full systemic and dysmorphic assessment was undertaken by a clinical geneticist (Table 1, available at www.aaojournal.org). Informed consent

Patient Profiles

The systemic and ophthalmic features of the 36 patients selected for screening are listed in Table 1 (available at www.aaojournal.org), and a selection of cataract morphologies identified during this study are displayed in Figure 1. Analysis of the patient information revealed that 20 patients with nonsyndromic CC and 16 patients with syndromic CC had been selected for testing. It is also noteworthy that 10 of the probands were of consanguineous parentage.

Next-Generation DNA Sequencing Yields Excellent Coverage of Genes Implicated in Human Cataractogenesis

Results from the sequencing of

Discussion

In this study, we used a custom-designed target enrichment for the capture of all coding exons and flanking intronic sequences of genes associated with CC for subsequent massively parallel sequencing. We tested 36 patients and have shown a high mutation detection rate, proving the efficacy of this method in determining the precise genetic cause of CC and providing further evidence of the utility of NGS in the diagnosis of a genetically heterogeneous condition. The absence of previously

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    Supplemental material is available at www.aaojournal.org.

    Financial Disclosure(s): The author(s) have no proprietary or commercial interest in any materials discussed in this article.

    Funded by Fight for Sight (grant no. 1831) and supported by the Manchester Academic Health Science Centre and the Manchester National Institute for Health Research Biomedical Research Centre. The funding organization had no role on the design or conduct of this research.

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