ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2022
White matter microstructural differences in children and genetic risk for multiple sclerosis: A population-based study.
Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Polygenicity of Comorbid Depression in Multiple Sclerosis.Neurology · 2023Pooled it
- White Matter Organization and Cortical Thickness Differ Among Active Duty Service Members With Chronic Mild, Moderate, and Severe Traumatic Brain Injury.Journal of neurotrauma · 2024Article
- Response: No evidence for association between polygenic risk for multiple sclerosis and MRI phenotypes in approximately 30,000 healthy adult UK Biobank participants.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022Article
- No evidence for association between polygenic risk of multiple sclerosis and MRI phenotypes in ~30,000 healthy adult UK Biobank participants.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022Article
- Predicting Multiple Sclerosis: Challenges and Opportunities.Frontiers in neurology · 2021Review
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundMS patients show abnormalities in white matter (WM) on brain imaging, with heterogeneity in the location of WM lesions. The "pothole" method can be applied to diffusion-weighted images to identify spatially distinct clusters of divergent brain WM microstructure.
objectiveTo investigate the association between genetic risk for MS and spatially independent clusters of decreased or increased fractional anisotropy (FA) in the brain. In addition, we studied sex- and age-related differences.
methods3 Tesla diffusion tensor imaging (DTI) data were collected in 8- to 12-year-old children from a population-based study. Global and tract-based potholes (lower FA clusters) and molehills (higher FA clusters) were quantified in 3047 participants with usable DTI data. A polygenic risk score (PRS) for MS was calculated in genotyped individuals (
resultsThe number of molehills increased with age, potholes decreased with age, and fewer potholes were observed in girls during typical development. The MS-PRS was positively associated with the number of molehills (β = 0.9, SE = 0.29,
conclusionGenetic risk for MS is associated with spatially distinct clusters of increased FA during childhood brain development.
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