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Applying a genetic risk score model to enhance prediction of future multiple sclerosis diagnosis at first presentation with optic neuritis

Author

Listed:
  • Pavel Loginovic

    (University of Exeter Medical School, College of Medicine and Health, University of Exeter)

  • Feiyi Wang

    (HiLIFE, University of Helsinki)

  • Jiang Li

    (Weis Center for Research, Geisinger)

  • Lauric Ferrat

    (University of Exeter Medical School, St Luke’s Campus, University of Exeter)

  • Uyenlinh L. Mirshahi

    (Weis Center for Research, Geisinger)

  • H. Shanker Rao

    (Weis Center for Research, Geisinger)

  • Axel Petzold

    (Amsterdam UMC
    UCL Institute of Neurology
    Moorfields Eye Hospital)

  • Jessica Tyrrell

    (University of Exeter Medical School, University of Exeter)

  • Harry D. Green

    (University of Exeter Medical School, St Luke’s Campus, University of Exeter)

  • Michael N. Weedon

    (University of Exeter Medical School, St Luke’s Campus, University of Exeter)

  • Andrea Ganna

    (HiLIFE, University of Helsinki
    Massachusetts General Hospital)

  • Tiinamaija Tuomi

    (HiLIFE, University of Helsinki
    University of Helsinki and Helsinki University Hospital
    Folkhälsan Research Center
    Lund University Diabetes Centre, Department of Clinical Sciences, Lund University)

  • David J. Carey

    (Weis Center for Research, Geisinger)

  • Richard A. Oram

    (University of Exeter Medical School, St Luke’s Campus, University of Exeter
    Royal Devon University Healthcare NHS Foundation Trust)

  • Tasanee Braithwaite

    (School of Immunology & Microbial Sciences and School of Life Course and Population Sciences
    Guy’s and St Thomas’ NHS Foundation Trust)

Abstract

Optic neuritis (ON) is associated with numerous immune-mediated inflammatory diseases, but 50% patients are ultimately diagnosed with multiple sclerosis (MS). Differentiating MS-ON from non-MS-ON acutely is challenging but important; non-MS ON often requires urgent immunosuppression to preserve vision. Using data from the United Kingdom Biobank we showed that combining an MS-genetic risk score (GRS) with demographic risk factors (age, sex) significantly improved MS prediction in undifferentiated ON; one standard deviation of MS-GRS increased the Hazard of MS 1.3-fold (95% confidence interval 1.07–1.55, P

Suggested Citation

  • Pavel Loginovic & Feiyi Wang & Jiang Li & Lauric Ferrat & Uyenlinh L. Mirshahi & H. Shanker Rao & Axel Petzold & Jessica Tyrrell & Harry D. Green & Michael N. Weedon & Andrea Ganna & Tiinamaija Tuomi , 2024. "Applying a genetic risk score model to enhance prediction of future multiple sclerosis diagnosis at first presentation with optic neuritis," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44917-9
    DOI: 10.1038/s41467-024-44917-9
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    References listed on IDEAS

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