June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
The Impact of Specific ABCA4 Variants on Retinal Function Using Regression Analysis of Electroretinography Data in a Large Patient Cohort
Author Affiliations & Notes
  • Sophie Glinton
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Antonio Calcagni
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Department of Electrophysiology, Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Nikolas Pontikos
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Sandra Vermeirsch
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Gavin Arno
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Pearse Andrew Keane
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Michel Michaelides
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Andrew R Webster
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Watjana Lilaonitkul
    Institute of Health Informatics, University College London, London, London, United Kingdom
    Health Data Research UK, London, United Kingdom
  • Omar Abdul Rahman Mahroo
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Anthony G Robson
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Department of Electrophysiology, Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Footnotes
    Commercial Relationships   Sophie Glinton None; Antonio Calcagni None; Nikolas Pontikos Phenopolis Ltd, Code E (Employment); Sandra Vermeirsch None; Gavin Arno None; Pearse Keane Deepmind, Code C (Consultant/Contractor), Roche, Code C (Consultant/Contractor), Apellis, Code C (Consultant/Contractor), Novartis, Code C (Consultant/Contractor), Big Picture Medical, Code I (Personal Financial Interest); Michel Michaelides None; Andrew Webster None; Watjana Lilaonitkul None; Omar Mahroo None; Anthony Robson None
  • Footnotes
    Support  Moorfields Eye Charity GR001003, Wellcome grant 206619_Z_17_Z
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 618 – A0333. doi:
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      Sophie Glinton, Antonio Calcagni, Nikolas Pontikos, Sandra Vermeirsch, Gavin Arno, Pearse Andrew Keane, Michel Michaelides, Andrew R Webster, Watjana Lilaonitkul, Omar Abdul Rahman Mahroo, Anthony G Robson; The Impact of Specific ABCA4 Variants on Retinal Function Using Regression Analysis of Electroretinography Data in a Large Patient Cohort. Invest. Ophthalmol. Vis. Sci. 2022;63(7):618 – A0333.

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

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Abstract

Purpose : ABCA4-retinopathy is the most common monogenic inherited retinal disease but current prognostic capability is limited by genetic heterogeneity with more than 1000 possible variants, for which combinations due to recessive inheritance result in a number of genotypes of at least n(n+1) / 2. Full-field electroretinography (ERG) is used clinically in the diagnosis and prognosis of ABCA4-retinopathy by measuring the activity of retinal cell populations in response to light stimuli. This study investigates whether regression analysis of genetic variants with ERG data can be used to derive coefficients relating to severity from a uniquely large single-centre patient cohort.

Methods : In this retrospective cohort study, multiple ISCEV-standard ERG parameters were labelled (DA 10, LA 3, and LA 30Hz ERGs) from 495 patients with confirmed ABCA4-retinopathy and compound heterozygous or homozygous pathogenic ABCA4 variants. ERG trace labelling was automated through custom peak-finding algorithms on additionally bandpass-filtered traces and labelled values normalised for ElasticNet regression analysis against the ABCA4 variant background of the cohort. ElasticNet is an extended regression method to deal with a large number of potentially correlated features.

Results : The analysis generated beta coefficients associated with individual variants. Within the 50 most frequent variants in the cohort, higher coefficient values were observed to be associated with previously identified milder variants including c.5882G>A p.(G1961E), c.5603A>T p.(N1868I) and c.4253+43G>A and lower coefficients with nonsense mutations and the severe intronic variant c.5461-10T>C. Many variants had intermediate coefficients consistent with partial function of the resultant protein. The resultant models had an average r2 value of 0.726, and results were consistent for the derived coefficients across the measured ERG features DA 10 a-wave and b-wave, LA 3 a-wave and b-wave and LA 30Hz peak amplitude (avg. r=0825. (range 0.724-0.931)).

Conclusions : This analysis provides a novel quantification of the impact of specific ABCA4 variants on retinal function in a data-driven regression analysis based on clinical ERG recordings; the findings were consistent with previously described genotype-phenotype correlations.

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

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