Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Development of Rheumatoid Arthritis Specific HLA-DRB1 Genotyping Microarray

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Seung Yong-
dc.contributor.authorYu, So Yeon-
dc.contributor.authorBang, So-Young-
dc.contributor.authorKim, Ji-Hoon-
dc.contributor.authorKim, Seung Jun-
dc.contributor.authorHong, Sung-Hyun-
dc.contributor.authorKim, Kwangwoo-
dc.contributor.authorLee, Hye-Soon-
dc.contributor.authorBae, Sang-Cheol-
dc.contributor.authorYoon, Young Ho-
dc.contributor.authorHwang, Seung Yong-
dc.date.accessioned2021-06-22T22:42:53Z-
dc.date.available2021-06-22T22:42:53Z-
dc.date.issued2014-09-
dc.identifier.issn1976-0280-
dc.identifier.issn2092-7843-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/21931-
dc.description.abstractHLA-DRB1 is the most important gene for rheumatoid arthritis (RA) susceptibility. The HLA-DRB1 shared epitope (SE) alleles that share conserved amino acid sequences and non-SE *09:01 allele account for about one-third of the genetic contribution to RA. We aimed to develop RA specific HLA-DRB1 genotyping microarray kit to achieve a 4-digit high resolution typing for the essential set of the susceptible DRB1 alleles in the RA. Korean RA patients (n=172) and controls (n=13) who performed BLA-DRB1 genotyping at 4-digit resolution by standard PCR-SBT method were enrolled. A total of 14 probes were designed for the RA specific HLA-DRB1 genotyping microarray. PCR products were hybridized with the probes which were covalently linked with a silylated glass slide of microarrays. BLA-DRB1 genotype was assigned using a signal table based on the scanned hybridization patterns. Using the RA-specific HLA-DRB I microarray chip, we accurately determined the RA susceptible alleles at 4-digit resolution (*01:01, *04:01, *04:04, *04: 05, *04:08, *04:10, *09:01, *10:10) and all the other subtypes of *04 in Korean population (n=185). Microarray results from 185 subjects showed high concordance with conventional PCR-SBT method irrespective of genotypes of risk or non-risk alleles (N=181), except for ambiguity in four cases of *01:01/*04:06 genotype, in which the microarray results were *01:01 /*04:03 or *01:01/*04:06. We developed a cost-effective RA-specific HLA-DRB1 genotyping microarray chip which is accurate and useful in clinical aspects as well as research purpose for RA.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisher한국바이오칩학회-
dc.titleDevelopment of Rheumatoid Arthritis Specific HLA-DRB1 Genotyping Microarray-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.1007/s13206-014-8305-x-
dc.identifier.scopusid2-s2.0-84911953640-
dc.identifier.wosid000342970500005-
dc.identifier.bibliographicCitationBioChip Journal, v.8, no.3, pp 187 - 198-
dc.citation.titleBioChip Journal-
dc.citation.volume8-
dc.citation.number3-
dc.citation.startPage187-
dc.citation.endPage198-
dc.type.docTypeArticle-
dc.identifier.kciidART001911527-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.subject.keywordPlusSHARED EPITOPE-
dc.subject.keywordPlusSUSCEPTIBILITY-
dc.subject.keywordPlusASSOCIATION-
dc.subject.keywordPlusALLELES-
dc.subject.keywordPlusHLA-DRB1-ASTERISK-0405-
dc.subject.keywordPlusANTIBODIES-
dc.subject.keywordPlusGENETICS-
dc.subject.keywordPlusCHINESE-
dc.subject.keywordPlusGENES-
dc.subject.keywordAuthorRheumatoid arthritis-
dc.subject.keywordAuthorHLA-DRB1-
dc.subject.keywordAuthorOligonucleotide microarray-
dc.subject.keywordAuthorGenotyping-
dc.subject.keywordAuthorRisk allele-
dc.subject.keywordAuthor4 digit-
dc.identifier.urlhttps://link.springer.com/article/10.1007/s13206-014-8305-x-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > ERICA 의약생명과학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Hwang, Seung Yong photo

Hwang, Seung Yong
ERICA 첨단융합대학 (ERICA 분자의약전공)
Read more

Altmetrics

Total Views & Downloads

BROWSE