Investigative Ophthalmology & Visual Science Cover Image for Volume 62, Issue 8
June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
POAG genetic risk score performs worse in African-descent than European-descent samples, highlighting need for expanded genetic studies in diverse populations
Author Affiliations & Notes
  • Jessica Cooke Bailey
    Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States
    Louis Stokes VA Medical Center, Cleveland, Ohio, United States
  • Tyler G. Kinzy
    Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States
    Louis Stokes VA Medical Center, Cleveland, Ohio, United States
  • Cari Nealon
    Louis Stokes VA Medical Center, Cleveland, Ohio, United States
  • Christopher Halladay
    Providence VA Medical Center, Providence, Rhode Island, United States
  • Piana Simpson
    Louis Stokes VA Medical Center, Cleveland, Ohio, United States
  • Rachael Canania
    Louis Stokes VA Medical Center, Cleveland, Ohio, United States
  • Scott Anthony
    Louis Stokes VA Medical Center, Cleveland, Ohio, United States
  • David Roncone
    Louis Stokes VA Medical Center, Cleveland, Ohio, United States
  • Lea Sawicki-Rogers
    Ophthalmology, VA Western New York Healthcare System Buffalo VA Medical Center, Buffalo, New York, United States
  • Jenna Leber
    Ophthalmology, VA Western New York Healthcare System Buffalo VA Medical Center, Buffalo, New York, United States
  • Jacquelyn Dougherty
    Ophthalmology, VA Western New York Healthcare System Buffalo VA Medical Center, Buffalo, New York, United States
  • Paul B Greenberg
    Providence VA Medical Center, Providence, Rhode Island, United States
  • Wen-Chih Wu
    Providence VA Medical Center, Providence, Rhode Island, United States
  • Jack M Sullivan
    Ophthalmology, VA Western New York Healthcare System Buffalo VA Medical Center, Buffalo, New York, United States
  • Dana Crawford
    Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States
    Louis Stokes VA Medical Center, Cleveland, Ohio, United States
  • Sudha K Iyengar
    Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States
    Louis Stokes VA Medical Center, Cleveland, Ohio, United States
  • Footnotes
    Commercial Relationships   Jessica Cooke Bailey, None; Tyler Kinzy, None; Cari Nealon, None; Christopher Halladay, None; Piana Simpson, None; Rachael Canania, None; Scott Anthony, None; David Roncone, None; Lea Sawicki-Rogers, None; Jenna Leber, None; Jacquelyn Dougherty, None; Paul Greenberg, None; Wen-Chih Wu, None; Jack Sullivan, None; Dana Crawford, None; Sudha Iyengar, None
  • Footnotes
    Support  VA Merit Review (I01 BX003364)
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 1513. doi:
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      Jessica Cooke Bailey, Tyler G. Kinzy, Cari Nealon, Christopher Halladay, Piana Simpson, Rachael Canania, Scott Anthony, David Roncone, Lea Sawicki-Rogers, Jenna Leber, Jacquelyn Dougherty, Paul B Greenberg, Wen-Chih Wu, Jack M Sullivan, Dana Crawford, Sudha K Iyengar; POAG genetic risk score performs worse in African-descent than European-descent samples, highlighting need for expanded genetic studies in diverse populations. Invest. Ophthalmol. Vis. Sci. 2021;62(8):1513.

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

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Abstract

Purpose : Genetic risk scores (GRS), sums of additive genetic risk, have strong potential for application in clinical risk stratification and early disease diagnosis in primary open-angle glaucoma (POAG). Recent studies in primarily European-descent population samples suggest that GRS associate with POAG case status, diagnosis age, and disease-specific outcomes. Further study in diverse populations is necessary to ensure generalizability of GRS in POAG, particularly as POAG is generally worse in people of African descent (earlier onset, higher prevalence and likelihood of vision loss/blindness). We investigated a POAG-specific GRS of published risk variants and apply it to the diverse Million Veteran Program (MVP), an ongoing observational cohort study and mega-biobank with >825K Veterans.

Methods : GRS summing 83 POAG-associated risk alleles in MVP samples with POAG phenotype, imputed genetic data, and harmonized ancestry and race/ethnicity (HARE) data. Association analyses of unweighted and effect estimate-weighted GRS and binary POAG phenotype were performed via logistic regression in European-descent (3382 cases, 58,829 controls) and African-descent (2448 cases, 5665 controls) samples. Unadjusted models and models adjusting for age, sex, age*sex interaction, and 10 sample-specific principal components were evaluated. GRS score deciles and quartiles were tested for association with POAG phenotype via logistic regression. Receiver operating characteristic (ROC) curves were composed and statistically compared.

Results : GRS was significantly associated with POAG in unadjusted and adjusted models (P<5E-05). While odds ratio estimates generally increased across deciles, the trend was stronger in the European-descent sample than in the African-descent sample; this was consistently supported by ROC plots and statistical hypothesis testing. GRS identified European-descent cases more consistently than African-descent cases (top quartiles: 37%, 29%, respectively). Unweighted GRS outperformed the weighted GRS in all models.

Conclusions : The ability of known POAG-associated variants to differentiate POAG cases from controls was dampened in African-descent population sample compared to European-descent. These outcomes drive the necessity of further diverse POAG genomic studies.

This is a 2021 ARVO Annual Meeting abstract.

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