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Age–adjusted recurrence risks for relatives of patients with multiple sclerosis

Open access
Robertson, N. P., Fraser, M., Deans, J., Clayton, D., Walker, N., Compston, D. A. S.·1996·Brain

Abstract

Familial aggregation is a cardinal epidemiological feature of multiple sclerosis, but few investigators have systematically examined recurrence risks for relatives of affected individuals in the United Kingdom. As part of a cross-sectional study of multiple sclerosis in Cambridgeshire, pedigree details were taken on 674 probands. Sex-specific, crude and age-adjusted recurrence risks were assessed amongst relatives of probands, applying a statistical model based on the observed age at onset of affected individuals and providing risks for clinical counselling. Details on year of birth, present age or age at death, and disease status were available on 11 391 relatives of successive probands. Nineteen percent of patients reported an additionally affected relative; 128 non-proband affected relatives were identified and the highest risk was observed for sisters. There was a systematic reduction in relative risk with genetic distance from the proband and no preferential recurrence for maternal or paternal relatives.

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Metadata

Authors
Robertson, N. P., Fraser, M., Deans, J., Clayton, D., Walker, N., & Compston, D. A. S.
Venue
Brain
Published
1996
Volume
119
Issue
2
Pages
449-455
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W2128247131
Cited by
234
References
0
FWCI
7.73
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Age–adjusted recurrence risks for relatives of patients with multiple sclerosis. https://app.cochat.ai/papers/10.1093/brain/119.2.449
The paper
Robertson, N. P., Fraser, M., Deans, J., Clayton, D., Walker, N., & Compston, D. A. S. (1996). Age–adjusted recurrence risks for relatives of patients with multiple sclerosis. Brain. https://doi.org/10.1093/brain/119.2.449

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.