June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Structure variation analysis aids in the diagnostic rate of EYS and USH2A
Author Affiliations & Notes
  • Yu-Shu Huang
    National Taiwan University Graduate Institute of Clinical Medicine, Taipei City, Taiwan
  • Yi-Chieh Chen
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan
  • Chien-Yu Lin
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan
  • Jui-En Lo
    National Taiwan University School of Medicine, Taipei City, Taiwan
  • Jacob ShuJui Hsu
    National Taiwan University Graduate Institute of Medical Genomics and Proteomics, Taipei City, Taiwan
  • Pei-Lung Chen
    National Taiwan University Graduate Institute of Medical Genomics and Proteomics, Taipei City, Taiwan
    National Taiwan University Hospital Department of Medical Genetics, Taipei City, Taipei City, Taiwan
  • Ta-Ching Chen
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan
    Center of Frontier Medicine, National Taiwan University Hospital, Taipei, Taiwan
  • Footnotes
    Commercial Relationships   Yu-Shu Huang None; Yi-Chieh Chen None; Chien-Yu Lin None; Jui-En Lo None; Jacob ShuJui Hsu None; Pei-Lung Chen None; Ta-Ching Chen None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 4516. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Yu-Shu Huang, Yi-Chieh Chen, Chien-Yu Lin, Jui-En Lo, Jacob ShuJui Hsu, Pei-Lung Chen, Ta-Ching Chen; Structure variation analysis aids in the diagnostic rate of EYS and USH2A. Invest. Ophthalmol. Vis. Sci. 2023;64(8):4516.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : EYS and USH2A are two of the most common genes that result in autosomal recessive retinitis pigmentosa (arRP) in Taiwanese. However, through next-generation sequencing (NGS) analysis, many RP patients are only found with a single nucleotide variant (SNV) in one allele and the other variant is still unknown. We hypothesize that the other variant may cause by structure variation (SV) and develop the SV detection pipeline.

Methods : Thirty-five probands performed with a probe-capture-based NGS retinal dystrophy panel which contains 233 related genes and diagnosed with only one SNV in either EYS (18 probands) or USH2A (17 probands) were included. The SVs pipeline combines six detection tools, Manta, Delly, GRIDSS, svaba, DECoN, and CODEX2, because of different approaches for calling SVs and copy number variations (CNVs). The variants called by at least two detection tools were seen as true positive and further validated by amplifying the breakpoints of the structural variant or droplet digital PCR (ddPCR).

Results : Eight of the 35 probands (23%) were diagnosed with structure variation. Four probands possess large gene deletions in EYS that cause loss of 2-10 exons which are located in the protein N-terminus, among them, the structural variant for 284 kbp deletion was identified in two unrelated individuals which suggests that this variant may be inherited by generation. In USH2A, three probands were found with large deletions that lead to 1-14 exons loss and one proband carried simultaneously large duplication in the region of exon13 to exon14, and deletion in exon13 and flanking area.

Conclusions : In our observation, analysis of SVs and CNVs could help almost a quarter of partially diagnosed cases of EYS- and USH2A-related RP. These findings urged that SVs and CNVs detection should be included in the regular analysis, especially for highly suspected arRP or autosomal recessive inherited retinal degeneration but partially solved or unsolved patients.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×