HLA analysis and disease for multiple sclerosis

Hsin Wen Tsao, Hung Wen Chiu

研究成果: 書貢獻/報告類型會議貢獻

摘要

Alleles for HLA-A, HLA-B, HLA-C, HLADQB1, HLA-DRB1, and HLA-DRB were typed across 820 age, gender, and race matched participants; 677 for whom have Multiple Sclerosis (MS) vs. 143 that do not. Observed alleles were coded and subject to significance testing with the goal to identify those alleles significantly associated with MS. Of the 368 unique alleles observed, eight were identified to be significantly associated with MS 100% of the time over 50 rounds of cross-validation testing; specifically HLA-DQB1*003, HLADQB1*00301, HLA-DQB1*00602, HLA-DRB1*0404, HLADRB1*1501, HLA-DRB1*1516/18, HLA-DRB3*02, and HLADRB4*01 were identified. Allele based classification modeling performed with each round of cross-validation testing provided for an overall classification success rate of 70%. Inspection of the alleles identified to be significantly associated with MS reveal nearly all to have been previously reported to be associated with MS; including four alleles reported to have association with disease severity.
原文英語
主出版物標題IFMBE Proceedings
頁面1385-1388
頁數4
37
DOIs
出版狀態已發佈 - 2011

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

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