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Applying a genetic ...
Applying a genetic risk score model to enhance prediction of future multiple sclerosis diagnosis at first presentation with optic neuritis
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- Loginovic, Pavel (author)
- University of Exeter
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- Wang, Feiyi (author)
- University of Helsinki
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- Li, Jiang (author)
- Sigfried and Janet Weis Center for Research
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- Ferrat, Lauric (author)
- University of Exeter
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- Mirshahi, Uyenlinh L. (author)
- Sigfried and Janet Weis Center for Research
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- Rao, H. Shanker (author)
- Sigfried and Janet Weis Center for Research
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- Petzold, Axel (author)
- University College London
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- Tyrrell, Jessica (author)
- University of Exeter
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- Green, Harry D. (author)
- University of Exeter
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- Weedon, Michael N. (author)
- University of Exeter
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- Ganna, Andrea (author)
- Massachusetts General Hospital,University of Helsinki
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- Tuomi, Tiinamaija (author)
- Lund University,Lunds universitet,Diabetiska komplikationer,Forskargrupper vid Lunds universitet,Diabetic Complications,Lund University Research Groups,Folkhälsan Research Center,University of Helsinki
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- Carey, David J. (author)
- Sigfried and Janet Weis Center for Research
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- Oram, Richard A. (author)
- University of Exeter
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- Braithwaite, Tasanee (author)
- King's College London,St Thomas' Hospital
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(creator_code:org_t)
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- 2024
- 2024
- English.
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In: Nature Communications. - 2041-1723. ; 15:1
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Abstract
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- 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 < 0.01). Participants stratified into quartiles of predicted risk developed incident MS at rates varying from 4% (95%CI 0.5–7%, lowest risk quartile) to 41% (95%CI 33–49%, highest risk quartile). The model replicated across two cohorts (Geisinger, USA, and FinnGen, Finland). This study indicates that a combined model might enhance individual MS risk stratification, paving the way for precision-based ON treatment and earlier MS disease-modifying therapy.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)
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- art (subject category)
- ref (subject category)
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- By the author/editor
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Loginovic, Pavel
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Wang, Feiyi
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Li, Jiang
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Ferrat, Lauric
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Mirshahi, Uyenli ...
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Rao, H. Shanker
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show more...
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Petzold, Axel
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Tyrrell, Jessica
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Green, Harry D.
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Weedon, Michael ...
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Ganna, Andrea
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Tuomi, Tiinamaij ...
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Carey, David J.
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Oram, Richard A.
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Braithwaite, Tas ...
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Endocrinology an ...
- Articles in the publication
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Nature Communica ...
- By the university
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Lund University