{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T17:10:42Z","timestamp":1782753042573,"version":"3.54.5"},"reference-count":58,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T00:00:00Z","timestamp":1771804800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T00:00:00Z","timestamp":1771804800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Immunogenetics"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Multiple sclerosis (MS) is a chronic central nervous system inflammatory disease of autoimmune aetiology. The disease is mostly considered due to a complex interaction between different genetic and environmental factors. DNA methylation is an epigenetic mechanism that can influence gene expression and has the potential to mediate the effects of environmental factors on MS. This study aimed to identify MS risk methylation haplotypes (meplotypes) and their associated genes by integrating epigenome\u2010wide meplotype association analysis with gene optimisation. We conducted the first epigenome\u2010wide meplotype association study for MS using methylation data from peripheral blood lymphocytes (PBLs) of 140 MS patients and 139 normal controls. The analytical procedure comprised the following steps: (1) conversion of DNA methylation level into menotypes; (2) identification of methylation disequilibrium (MD) block and performance of meplotype association analysis; (3) screening of risk meplotypes and their mapping to genes; (4) conducting functional analysis of the candidate genes; and (5) final identification of MS risk genes through gene optimisation. Our analysis identified 286 meplotypes across 191 MD blocks that were significantly associated with MS (\n                    <jats:italic>p<\/jats:italic>\n                    value &lt; 0.05). Of these, 120 meplotypes were found to confer increased risk for MS susceptibility and were mapped to 134 candidate genes. Gene optimisation identified four MS risk meplotypes on three key genes: HLA\u2010DQA1, HLA\u2010DRB5 and HLA\u2010DRB1. These results not only confirm the pivotal role of HLA\u2010DRB1 in MS but also report, for the first time, an association between MS and DNA methylation patterns in HLA\u2010DQA1 and HLA\u2010DRB5. This study demonstrates that epigenome\u2010wide methylation haplotype analysis offers a powerful and novel perspective for identifying MS\u2010related genes.\n                  <\/jats:p>","DOI":"10.1111\/iji.70043","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T08:09:30Z","timestamp":1772957370000},"page":"248-258","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Identification of HLA\u2010DQA1 and HLA\u2010DRB5 as Risk Factors for Multiple Sclerosis: An Epigenome\u2010Wide Methylation Haplotype Association Analysis"],"prefix":"10.1111","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2365-8901","authenticated-orcid":false,"given":"Zhenwei","family":"Shang","sequence":"first","affiliation":[{"name":"College of Bioinformatics Science and Technology Harbin Medical University  Harbin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiacheng","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology Harbin Medical University  Harbin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Xu","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation Kunming University of Science and Technology  Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingming","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology Harbin Medical University  Harbin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongchao","family":"Lv","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology Harbin Medical University  Harbin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7163-6554","authenticated-orcid":false,"given":"Yongshuai","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology Harbin Medical University  Harbin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruijie","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology Harbin Medical University  Harbin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhua","family":"Lv","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology Harbin Medical University  Harbin 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