{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T05:18:58Z","timestamp":1788585538255,"version":"build-2803163510"},"reference-count":40,"publisher":"Japanese Society for Magnetic Resonance in Medicine","issue":"4","funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP24K18774"],"award-info":[{"award-number":["JP24K18774"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP23K07189"],"award-info":[{"award-number":["JP23K07189"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP23K27556"],"award-info":[{"award-number":["JP23K27556"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MRMS","magn reson med sci"],"published-print":{"date-parts":[[2026]]},"DOI":"10.2463\/mrms.mp.2026-0094","type":"journal-article","created":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T22:12:08Z","timestamp":1788387128000},"page":"n\/a","source":"Crossref","is-referenced-by-count":0,"title":["Associating a Polygenic Risk Score for Multiple Sclerosis with Brain MRI Metrics and Cognitive Performance in Healthy UK Biobank Participants"],"prefix":"10.2463","volume":"25","author":[{"given":"Chenyu","family":"Feng","sequence":"first","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junko","family":"Kikuta","sequence":"first","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akifumi","family":"Hagiwara","sequence":"additional","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Zou","sequence":"additional","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiyang","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sen","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takafumi","family":"Kitagawa","sequence":"additional","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koyo","family":"Mizuta","sequence":"additional","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaito","family":"Takabayashi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akihiko","family":"Wada","sequence":"additional","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isamu","family":"Takai","sequence":"additional","affiliation":[{"name":"Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasunobu","family":"Hoshino","sequence":"additional","affiliation":[{"name":"Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuji","family":"Tomizawa","sequence":"additional","affiliation":[{"name":"Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taku","family":"Hatano","sequence":"additional","affiliation":[{"name":"Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koji","family":"Kamagata","sequence":"additional","affiliation":[{"name":"Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1295","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"1. Vitturi BK, Cellerino M, Boccia D, et al. Environmental risk factors for multiple sclerosis: A comprehensive systematic review and meta-analysis. J Neurol 2025; 272:513.","DOI":"10.1007\/s00415-025-13248-0"},{"key":"2","doi-asserted-by":"crossref","unstructured":"2. Ikram MA, Vernooij MW, Roshchupkin GV, et al. Genetic susceptibility to multiple sclerosis: Brain structure and cognitive function in the general population. Mult Scler 2017; 23:1697\u20131706.","DOI":"10.1177\/1352458516682104"},{"key":"3","doi-asserted-by":"crossref","unstructured":"3. Thompson AJ, Baranzini SE, Geurts J, et al. Multiple sclerosis. Lancet 2018; 391:1622\u20131636.","DOI":"10.1016\/S0140-6736(18)30481-1"},{"key":"4","doi-asserted-by":"crossref","unstructured":"4. Miclea A, Bagnoud M, Chan A, et al. A brief review of the effects of vitamin D on multiple sclerosis. Front Immunol 2020; 11:781.","DOI":"10.3389\/fimmu.2020.00781"},{"key":"5","doi-asserted-by":"crossref","unstructured":"5. Correale J, Marrodan M. Multiple sclerosis and obesity: The role of adipokines. Front Immunol 2022; 13:1038393.","DOI":"10.3389\/fimmu.2022.1038393"},{"key":"6","doi-asserted-by":"crossref","unstructured":"6. Soldan SS, Lieberman PM. Epstein-Barr virus and multiple sclerosis. Nat Rev Microbiol 2023; 21:51\u201364.","DOI":"10.1038\/s41579-022-00770-5"},{"key":"7","doi-asserted-by":"crossref","unstructured":"7. Tarlinton RE, Martynova E, Rizvanov AA, et al. Role of viruses in the pathogenesis of multiple sclerosis. Viruses 2020; 12:643.","DOI":"10.3390\/v12060643"},{"key":"8","doi-asserted-by":"crossref","unstructured":"8. Wang Z, Xie J, Wu C, et al. Correlation between smoking and passive smoking with multiple sclerosis and the underlying molecular mechanisms. Med Sci Monit 2019; 25:893\u2013902.","DOI":"10.12659\/MSM.912863"},{"key":"9","doi-asserted-by":"crossref","unstructured":"9. Zhou X, Baumann R, Gao X, et al. Gut microbiome of multiple sclerosis patients and paired household healthy controls reveal associations with disease risk and course. Cell 2022; 185:3467\u20133486.e16.","DOI":"10.1016\/j.cell.2022.08.021"},{"key":"10","doi-asserted-by":"crossref","unstructured":"10. Patsopoulos NA. Genetics of multiple sclerosis: An overview and new directions. Cold Spring Harb Perspect Med 2018; 8:a028951.","DOI":"10.1101\/cshperspect.a028951"},{"key":"11","doi-asserted-by":"crossref","unstructured":"11. Thompson DJ, Wells D, Selzam S, et al. A systematic evaluation of the performance and properties of the UK Biobank Polygenic Risk Score (PRS) Release. PLoS One 2024; 19:e0307270.","DOI":"10.1371\/journal.pone.0307270"},{"key":"12","doi-asserted-by":"crossref","unstructured":"12. Shams H, Shao X, Santaniello A, et al. Polygenic risk score association with multiple sclerosis susceptibility and phenotype in Europeans. Brain 2023; 146:645\u2013656.","DOI":"10.1093\/brain\/awac092"},{"key":"13","doi-asserted-by":"crossref","unstructured":"13. Compston A, Coles A. Multiple sclerosis. Lancet 2008; 372:1502\u20131517.","DOI":"10.1016\/S0140-6736(08)61620-7"},{"key":"14","doi-asserted-by":"crossref","unstructured":"14. Loonstra FC, Alvarez Sirvent D, Tesi N, et al. Association of polygenic risk score with lifetime risk of developing multiple sclerosis in a population-based birth-year cohort. Neurology 2024; 103:e209663.","DOI":"10.1212\/WNL.0000000000209663"},{"key":"15","doi-asserted-by":"crossref","unstructured":"15. Rogers JM, Panegyres PK. Cognitive impairment in multiple sclerosis: Evidence-based analysis and recommendations. J Clin Neurosci 2007; 14:919\u2013927.","DOI":"10.1016\/j.jocn.2007.02.006"},{"key":"16","doi-asserted-by":"crossref","unstructured":"16. Amato MP, Zipoli V, Portaccio E. Multiple sclerosis-related cognitive changes: A review of cross-sectional and longitudinal studies. J Neurol Sci 2006; 245:41\u201346.","DOI":"10.1016\/j.jns.2005.08.019"},{"key":"17","doi-asserted-by":"crossref","unstructured":"17. Benedict RHB, Amato MP, DeLuca J, et al. Cognitive impairment in multiple sclerosis: Clinical management, MRI, and therapeutic avenues. Lancet Neurol 2020; 19:860\u2013871.","DOI":"10.1016\/S1474-4422(20)30277-5"},{"key":"18","doi-asserted-by":"crossref","unstructured":"18. Caranova M, Soares JF, Batista S, et al. A systematic review of microstructural abnormalities in multiple sclerosis detected with NODDI and DTI models of diffusion-weighted magnetic resonance imaging. Magn Reson Imaging 2023; 104:61\u201371.","DOI":"10.1016\/j.mri.2023.09.010"},{"key":"19","doi-asserted-by":"crossref","unstructured":"19. Ranjeva JP, Pelletier J, Confort-Gouny S, et al. MRI\/MRS of corpus callosum in patients with clinically isolated syndrome suggestive of multiple sclerosis. Mult Scler 2003; 9:554\u2013565.","DOI":"10.1191\/1352458503ms938oa"},{"key":"20","doi-asserted-by":"crossref","unstructured":"20. Lin F, Yu C, Liu Y, et al. Diffusion tensor group tractography of the corpus callosum in clinically isolated syndrome. AJNR Am J Neuroradiol 2011; 32:92\u201398.","DOI":"10.3174\/ajnr.A2273"},{"key":"21","doi-asserted-by":"crossref","unstructured":"21. Hulst HE, Steenwijk MD, Versteeg A, et al. Cognitive impairment in MS: Impact of white matter integrity, gray matter volume, and lesions. Neurology 2013; 80:1025\u20131032.","DOI":"10.1212\/WNL.0b013e31828726cc"},{"key":"22","doi-asserted-by":"crossref","unstructured":"22. Sudlow C, Gallacher J, Allen N, et al. UK biobank: An open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med 2015; 12:e1001779.","DOI":"10.1371\/journal.pmed.1001779"},{"key":"23","unstructured":"23. UK Biobank Coordinating Centre. Access procedures: Application and review procedures for access to the UK Biobank Resource, Version 2.1. 2022."},{"key":"24","doi-asserted-by":"crossref","unstructured":"24. Alfaro-Almagro F, Jenkinson M, Bangerter NK, et al. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. Neuroimage 2018; 166:400\u2013424.","DOI":"10.1016\/j.neuroimage.2017.10.034"},{"key":"25","doi-asserted-by":"crossref","unstructured":"25. Wakana S, Caprihan A, Panzenboeck MM, et al. Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 2007; 36:630\u2013644.","DOI":"10.1016\/j.neuroimage.2007.02.049"},{"key":"26","unstructured":"26. Breedon JR, Marshall CR, Giovannoni G, et al. Polygenic risk score prediction of multiple sclerosis in individuals of South Asian ancestry. Brain Commun 2023; 5:fcad041."},{"key":"27","doi-asserted-by":"crossref","unstructured":"27. Chun MY, Jung SH, Choe J, et al. Polygenic risk score of Alzheimer\u2019s disease is associated with cognitive trajectories and phenotypes of cerebral organoids. Alzheimers Dement 2025; 21:e70660.","DOI":"10.1002\/alz.70660"},{"key":"28","doi-asserted-by":"crossref","unstructured":"28. Tuch DS, Salat DH, Wisco JJ, et al. Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention. Proc Natl Acad Sci USA 2005; 102: 12212\u201312217.","DOI":"10.1073\/pnas.0407259102"},{"key":"29","doi-asserted-by":"crossref","unstructured":"29. Turken A, Whitfield-Gabrieli S, Bammer R, et al. Cognitive processing speed and the structure of white matter pathways: Convergent evidence from normal variation and lesion studies. Neuroimage 2008; 42:1032\u20131044.","DOI":"10.1016\/j.neuroimage.2008.03.057"},{"key":"30","doi-asserted-by":"crossref","unstructured":"30. Akaike S, Okamoto T, Kurosawa R, et al. Exploring the potential of the corpus callosum area as a predictive marker for impaired information processing in multiple sclerosis. J Clin Med 2023; 12:6948.","DOI":"10.3390\/jcm12216948"},{"key":"31","doi-asserted-by":"crossref","unstructured":"31. Petrovska J, Coynel D, Freytag V, et al. Polygenic susceptibility for multiple sclerosis is associated with working memory in low-performing young adults. J Neurol Sci 2024; 463:123138.","DOI":"10.1016\/j.jns.2024.123138"},{"key":"32","doi-asserted-by":"crossref","unstructured":"32. Madden DJ, Bennett IJ, Song AW. Cerebral white matter integrity and cognitive aging: Contributions from diffusion tensor imaging. Neuropsychol Rev 2009; 19:415\u2013435.","DOI":"10.1007\/s11065-009-9113-2"},{"key":"33","doi-asserted-by":"crossref","unstructured":"33. Aboitiz F, Scheibel AB, Fisher RS, et al. Fiber composition of the human corpus callosum. Brain Res 1992; 598:143\u2013153.","DOI":"10.1016\/0006-8993(92)90178-C"},{"key":"34","doi-asserted-by":"crossref","unstructured":"34. Rosen BQ, Halgren E. An estimation of the absolute number of axons indicates that human cortical areas are sparsely connected. PLoS Biol 2022; 20:e3001575.","DOI":"10.1371\/journal.pbio.3001575"},{"key":"35","doi-asserted-by":"crossref","unstructured":"35. Madden DJ, Whiting WL, Huettel SA, et al. Diffusion tensor imaging of adult age differences in cerebral white matter: Relation to response time. Neuroimage 2004; 21:1174\u20131181.","DOI":"10.1016\/j.neuroimage.2003.11.004"},{"key":"36","doi-asserted-by":"crossref","unstructured":"36. de Mol CL, Jansen PR, Muetzel RL, et al. Polygenic multiple sclerosis risk and population-based childhood brain imaging. Ann Neurol 2020; 87:774\u2013787.","DOI":"10.1002\/ana.25717"},{"key":"37","doi-asserted-by":"crossref","unstructured":"37 Zou R, Takabayashi K, Andica C, et al. White matter microstructural alterations mediate the association between polygenic risk for Alzheimer\u2019s disease and cognitive performance in clinically asymptomatic adults. Magn Reson Med Sci 2026; 25:mp.2025-0182.","DOI":"10.2463\/mrms.mp.2025-0182"},{"key":"38","doi-asserted-by":"crossref","unstructured":"38. Miller KL, Alfaro-Almagro F, Bangerter NK, et al. Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nat Neurosci 2016; 19:1523\u20131536.","DOI":"10.1038\/nn.4393"},{"key":"39","doi-asserted-by":"crossref","unstructured":"39. Saito Y, Kamagata K, Andica C, et al. Traveling subject-informed harmonization increases reliability of brain diffusion tensor and neurite mapping. Aging Dis 2023; 15:2770\u20132785.","DOI":"10.14336\/AD.2023.1020"},{"key":"40","doi-asserted-by":"crossref","unstructured":"40. Kasai S, Watanabe K, Ide S, et al. FLAIR hyperintensities in the anterior part of the callosal splenium in the elderly population: A large cohort study. Acad Radiol 2024; 31:2922\u20132929.","DOI":"10.1016\/j.acra.2024.02.001"}],"container-title":["Magnetic Resonance in Medical Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/mrms\/25\/4\/25_mp.2026-0094\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T05:09:57Z","timestamp":1788584997000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/mrms\/25\/4\/25_mp.2026-0094\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":40,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026]]}},"URL":"https:\/\/doi.org\/10.2463\/mrms.mp.2026-0094","relation":{},"ISSN":["1347-3182","1880-2206"],"issn-type":[{"value":"1347-3182","type":"print"},{"value":"1880-2206","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"article-number":"mp.2026-0094"}}