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Role of genetic susceptibility variants in predicting clinical course in multiple sclerosis: a cohort study
Citation
Pan, G and Simpson Jr, S and van der Mei, I and Charlesworth, JC and Lucas, R and Ponsonby, A-L and Zhou, Y and Wu, F and Taylor, BV, AusLong/Ausimmune Investigator Group, Role of genetic susceptibility variants in predicting clinical course in multiple sclerosis: a cohort study, Journal of Neurology, Neurosurgery and Psychiatry, 87, (11) pp. 1204-1211. ISSN 0022-3050 (2016) [Refereed Article]
Copyright Statement
Copyright 2016 The Author(s)
DOI: doi:10.1136/jnnp-2016-313722
Abstract
METHODS: Prospective cohort study of 127 first demyelinating events with genotype data, where 116 MS risk-associated single nucleotide polymorphisms (SNPs) were assessed as predictors of conversion to MS, relapse and annualised disability progression (Expanded Disability Status Scale, EDSS) up to 5-year review (ΔEDSS). Survival analysis was used to test for predictors of MS and relapse, and linear regression for disability progression. The top 7 SNPs predicting MS/relapse and disability progression were evaluated as a cumulative genetic risk score (CGRS).
RESULTS: We identified 2 non-human leucocyte antigen (HLA; rs12599600 and rs1021156) and 1 HLA (rs9266773) SNP predicting both MS and relapse risk. Additionally, 3 non-HLA SNPs predicted only conversion to MS; 1 HLA and 2 non-HLA SNPs predicted only relapse; and 7 non-HLA SNPs predicted ΔEDSS. The CGRS significantly predicted MS and relapse in a significant, dose-dependent manner: those having ≥5 risk genotypes had a 6-fold greater risk of converting to MS and relapse compared with those with ≤2. The CGRS for ΔEDSS was also significant: those carrying ≥6 risk genotypes progressed at 0.48 EDSS points per year faster compared with those with ≤2, and the CGRS model explained 32% of the variance in disability in this study cohort.
CONCLUSIONS: These data strongly suggest that MS genetic risk variants significantly influence MS clinical course and that this effect is polygenic.
Item Details
Item Type: | Refereed Article |
---|---|
Research Division: | Biomedical and Clinical Sciences |
Research Group: | Neurosciences |
Research Field: | Central nervous system |
Objective Division: | Health |
Objective Group: | Clinical health |
Objective Field: | Clinical health not elsewhere classified |
UTAS Author: | Pan, G (Mr Gongbu Pan) |
UTAS Author: | Simpson Jr, S (Dr Steve Simpson JR) |
UTAS Author: | van der Mei, I (Professor Ingrid van der Mei) |
UTAS Author: | Charlesworth, JC (Dr Jac Charlesworth) |
UTAS Author: | Zhou, Y (Mr Yuan Zhou) |
UTAS Author: | Wu, F (Dr Feitong Wu) |
UTAS Author: | Taylor, BV (Professor Bruce Taylor) |
ID Code: | 111099 |
Year Published: | 2016 |
Web of Science® Times Cited: | 25 |
Deposited By: | Menzies Institute for Medical Research |
Deposited On: | 2016-08-30 |
Last Modified: | 2017-11-06 |
Downloads: | 0 |
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