June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Diagnostic Contribution of Genes with Treatments or Interventional Clinical Trials in a Large Retinal Dystrophy Cohort
Author Affiliations & Notes
  • Ka-Yan Mak
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Kimberly Gall
    Blueprint Genetics Inc, a Quest Diagnostics Company, Seattle, Washington, United States
  • Alicia Scocchia
    Blueprint Genetics Inc, a Quest Diagnostics Company, Seattle, Washington, United States
  • Julie Hathaway
    Blueprint Genetics Inc, a Quest Diagnostics Company, Seattle, Washington, United States
  • Kati Kämpjärvi
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Kirsty Wells
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Johanna Känsäkoski
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Pernilla von Nandelstadh
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Raquel Perez
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Marta Gandia
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Sanna Vattulainen-Collanus
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Mari-Liis Mikk
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Mikko Muona
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Inka Saarinen
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Sari Tuupanen
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Juha Koskenvuo
    Blueprint Genetics, a Quest Diagnostics Company, Espoo, Finland
  • Footnotes
    Commercial Relationships   Ka-Yan Mak Blueprint Genetics, Code E (Employment); Kimberly Gall Blueprint Genetics Inc, Code E (Employment); Alicia Scocchia Blueprint Genetics Inc, Code E (Employment); Julie Hathaway Blueprint Genetics Inc, Code E (Employment); Kati Kämpjärvi Blueprint Genetics, Code E (Employment); Kirsty Wells Blueprint Genetics, Code E (Employment); Johanna Känsäkoski Blueprint Genetics, Code E (Employment); Pernilla von Nandelstadh Blueprint Genetics, Code E (Employment); Raquel Perez Blueprint Genetics, Code E (Employment); Marta Gandia Blueprint Genetics, Code E (Employment); Sanna Vattulainen-Collanus Blueprint Genetics, Code E (Employment); Mari-Liis Mikk Blueprint Genetics, Code E (Employment); Mikko Muona Blueprint Genetics, Code E (Employment); Inka Saarinen Blueprint Genetics, Code E (Employment); Sari Tuupanen Blueprint Genetics, Code E (Employment); Juha Koskenvuo Blueprint Genetics, Code E (Employment)
  • Footnotes
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Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2833 – A0349. doi:
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      Ka-Yan Mak, Kimberly Gall, Alicia Scocchia, Julie Hathaway, Kati Kämpjärvi, Kirsty Wells, Johanna Känsäkoski, Pernilla von Nandelstadh, Raquel Perez, Marta Gandia, Sanna Vattulainen-Collanus, Mari-Liis Mikk, Mikko Muona, Inka Saarinen, Sari Tuupanen, Juha Koskenvuo; Diagnostic Contribution of Genes with Treatments or Interventional Clinical Trials in a Large Retinal Dystrophy Cohort. Invest. Ophthalmol. Vis. Sci. 2022;63(7):2833 – A0349.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : In the recent past, vision loss secondary to inherited retinal disease (IRD) was considered ‘incurable.’ Progress in both gene therapy and the molecular characterization of IRDs has led to a rapid increase in the number of gene-specific treatments as well as planned and ongoing interventional clinical trials for ocular disease. Perhaps less apparent is how diagnostic genetic testing, such as with next-generation sequencing (NGS), informs the opportunity for gene-specific treatments and interventional clinical trials for IRD. Here, we assess how NGS-based panel results impact access to targeted treatment and clinical trials in a large cohort of patients with IRD.

Methods : We carried out a retrospective analysis of test results from 18,026 deidentified patients who were tested consecutively with an IRD-related panel at Blueprint Genetics (Table 1). The target regions included coding exons, intronic regions ± 20 bps from the exon-intron boundaries and clinically significant noncoding variants. Copy number analysis was done bioinformatically from the NGS data using 2 different pipelines, including 1 proprietary pipeline developed for the detection of small, exon-level CNVs. Variant interpretation was performed according to American College of Medical Genetics guidelines. Clinical information, demographics, and results were extracted from the internal laboratory database.

Results : The median coverage of all target regions was 99.91% at >20X while the median sequencing depth was 210X. The median age at testing was 46 years. Males made up 48.4% (8,730) of the cohort while females made up 51.1% (9,203). Sex was not specified in 0.5% (93) patients. A molecular diagnosis was made in 9,156 (50.8%) patients while a variant of unknown significance (VUS) favoring pathogenic was identified in an additional 973 (5.4%) patients. A total of 214 genes were involved in the molecular diagnoses of IRD. In particular, diagnoses involving the 14 genes for which therapy or clinical trial is available accounted for 41.7% of the total diagnoses (Table 2).

Conclusions : For every 5 patients who received a molecular diagnosis for their IRD in this cohort, 2 have a diagnosis involving a gene/specific variant that may allow them to access treatment or a clinical trial.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

 

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