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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Neuroepidemiology

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1509371

The Canadian Collaborative Project on Genetic Susceptibility to Multiple Sclerosis cohort population structure and disease etiology

Provisionally accepted
Alison M Pagalilauan Alison M Pagalilauan 1Elif Everest Elif Everest 1Suzanna Rachimi Suzanna Rachimi 1Daniel S. Reich Daniel S. Reich 1Alex D Waldman Alex D Waldman 1Dessa Sadovnick Dessa Sadovnick 2Carles Vilarino-Guell Carles Vilarino-Guell 2Michael Lenardo Michael Lenardo 1*
  • 1 National Institutes of Health (NIH), Bethesda, Maryland, United States
  • 2 University of British Columbia, Vancouver, British Columbia, Canada

The final, formatted version of the article will be published soon.

    Background: Previous genetic and epidemiological studies have examined subpopulations from the Canadian Collaborative Project on Genetic Susceptibility to Multiple Sclerosis (CCPGSMS) patient cohort, but an encompassing analysis of the study population has not yet been carried out.Objective: This retrospective study examines patterns of multiple sclerosis (MS) prevalence in 13,663 cohort members, including 4,821 persons with MS or suspected MS and 8,842 family members.We grouped participants into epidemiologic subgroups based on age of MS onset, clinical stage at diagnosis, symptom type at disease onset, sex, proband status, disability as measured by the EDSS, and ancestry based on reported ethnicity.We observed a 2.7:1 MS prevalence ratio of women to men, though disease severity was greater for male patients. Variation in the age of disease onset between patients was only slightly associated with sex and strongly associated with disease type. Specific types of clinical symptoms at disease onset were associated with the prognosis. Regional residence did not correlate with disease onset, type, or severity.Population trends, as presented here, are not explained by environmental factors alone, highlighting the need for a comprehensive genetic analysis to understand disease variance across families.

    Keywords: Epidemiology, Demographics, Multiple Sclerosis, Population trends, prognosis, risk factors Moved (insertion) [1] Formatted: Font: Italic Formatted: Font: Italic Formatted: Font: Italic Formatted: Font: Italic Formatted: Font: Italic

    Received: 10 Oct 2024; Accepted: 14 Feb 2025.

    Copyright: © 2025 Pagalilauan, Everest, Rachimi, Reich, Waldman, Sadovnick, Vilarino-Guell and Lenardo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Michael Lenardo, National Institutes of Health (NIH), Bethesda, 9000, Maryland, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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