June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Exome analysis identifies novel genes associated with intraocular pressure in the UK Biobank cohort
Author Affiliations & Notes
  • Xiaoyi Raymond Gao
    Ophthalmology and Visual Sciences, Ohio State University, Columbus, Ohio, United States
    Biomedical informatics and human genetics, Ohio State University, Columbus, Ohio, United States
  • Marion Chiariglione
    Ophthalmology and Visual Sciences, Ohio State University, Columbus, Ohio, United States
  • Alexander J Arch
    Ophthalmology and Visual Sciences, Ohio State University, Columbus, Ohio, United States
  • Footnotes
    Commercial Relationships   Xiaoyi Gao None; Marion Chiariglione None; Alexander Arch None
  • Footnotes
    Support  R01EY027315
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 4014 – A0356. doi:
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    • Get Citation

      Xiaoyi Raymond Gao, Marion Chiariglione, Alexander J Arch; Exome analysis identifies novel genes associated with intraocular pressure in the UK Biobank cohort. Invest. Ophthalmol. Vis. Sci. 2022;63(7):4014 – A0356.

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

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Abstract

Purpose : Elevated intraocular pressure (IOP) is a major risk factor for glaucoma, the leading cause of irreversible blindness worldwide. IOP is also the only modifiable risk factor for glaucoma. Identifying rare variants that contribute to IOP help uncover the biological mechanisms regulating this trait, provide new therapeutic targets for IOP, and potentially glaucoma.

Methods : We conducted this study using the recent release of 450K whole exomes from the UK Biobank. IOP measurements were obtained using the Optical Response Analyzer (Reichert Corp., Philadelphia, PA). For this study, we used corneal-compensated IOP. The average of the right and left eye IOP measurements was used for downstream analysis. A total of 110,283 study participants who have IOP measurements were included in this analysis. We performed rare-variant analyses to identify the corresponding genes associated with IOP using REGENIE with adjustment for age, sex, and the first 10 principal components of genetic ancestry.

Results : We identified a novel gene, BOD1L1, that was significantly associated with IOP (P = 5.92 x 10-9). BOD1L1 is associated with the use of antiglaucoma preparations and miotics (P = 3.8 x 10-6). Another novel gene associated with IOP was ACAD10 (P = 1.33 x 10-10). ACAD10 is associated with glaucoma (P = 1.6 x 10-4). Further analyses may identify additional rare-variant associations with IOP.

Conclusions : We identified novel genes and rare variants associated with IOP. Our findings provide insights into the genetics of rare variants affecting IOP.

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

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