Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 배상철 | - |
dc.date.accessioned | 2018-04-16T04:00:22Z | - |
dc.date.available | 2018-04-16T04:00:22Z | - |
dc.date.issued | 2012-03 | - |
dc.identifier.citation | American Journal of Human Genetics, 2012, 90(3), P.524-532 | en_US |
dc.identifier.issn | 0002-9297 | - |
dc.identifier.uri | http://www.cell.com/ajhg/fulltext/S0002-9297(12)00044-4 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/67731 | - |
dc.description.abstract | We have previously shown that rheumatoid arthritis (RA) risk alleles overlap between different ethnic groups. Here, we utilize a multiethnic approach to show that we can effectively discover RA risk alleles. Thirteen putatively associated SNPs that had not yet exceeded genome-wide significance (p < 5 x 10(-8)) in our previous RA genome-wide association study (GWAS) were analyzed in independent sample sets consisting of 4,366 cases and 17,765 controls of European, African American, and East Asian ancestry. Additionally, we conducted an overall association test across all 65,833 samples (a GWAS meta-analysis plus the replication samples). Of the 13 SNPs investigated, four were significantly below the study-wide Bonferroni corrected p value threshold (p < 0.0038) in the replication samples. Two SNPs (rs3890745 at the 1p36 locus [p = 2.3 x 10(-12)] and rs2872507 at the 17q12 locus [p = 1.7 x 10(-9)] surpassed genome-wide significance in all 16,659 RA cases and 49,174 controls combined. We used available GWAS data to fine map these two loci in Europeans and East Asians, and we found that the same allele conferred risk in both ethnic groups. A series of bioinformatic analyses identified TNERSF14-MMEL1 at the 1p36 locus and IKZE3-ORMDL3-GSDMB at the 17q12 locus as the genes most likely associated with RA. These findings demonstrate empirically that a multiethnic approach is an effective strategy for discovering RA risk loci, and they suggest that combining GWASs across ethnic groups represents an efficient strategy for gaining statistical power. | en_US |
dc.description.sponsorship | F.K. was supported by the European Community's FP7 Marie Curie grant (Grant Agreement number PIOF-GA-2009-237280). R.M.P. was supported by grants from the National Institutes of Health (R01-AR057108, R01-AR056768, and U01-GM092691) and holds a Career Award for Medical Scientists from the Burroughs Wellcome Fund. S.Y.B., H.S.L., and S.C.B. were supported by the Korea Healthcare technology R&D Project, Ministry for Health and Welfare, Republic of Korea (A111218-11-GM01, A102065). | en_US |
dc.language.iso | en | en_US |
dc.publisher | CELL PRESS | en_US |
dc.subject | GENOME-WIDE ASSOCIATION | en_US |
dc.subject | LARGE-SCALE | en_US |
dc.subject | RISK LOCI | en_US |
dc.subject | METAANALYSIS | en_US |
dc.subject | VARIANTS | en_US |
dc.subject | DISEASE | en_US |
dc.subject | IMPUTATION | en_US |
dc.subject | AIOLOS | en_US |
dc.title | Use of a Multiethnic Approach to Identify Rheumatoid-Arthritis-Susceptibility Loci, 1p36 and 17q12 | en_US |
dc.type | Article | en_US |
dc.relation.no | 3 | - |
dc.relation.volume | 90 | - |
dc.identifier.doi | 10.1016/j.ajhg.2012.01.010 | - |
dc.relation.page | 524-532 | - |
dc.relation.journal | AMERICAN JOURNAL OF HUMAN GENETICS | - |
dc.contributor.googleauthor | Kurreeman, Fina A. S. | - |
dc.contributor.googleauthor | Stahl, Eli A. | - |
dc.contributor.googleauthor | Okada, Yukinori | - |
dc.contributor.googleauthor | Liao, Katherine | - |
dc.contributor.googleauthor | Diogo, Dorothee | - |
dc.contributor.googleauthor | Raychaudhuri, Soumya | - |
dc.contributor.googleauthor | Freudenberg, Jan | - |
dc.contributor.googleauthor | Kochi, Yuta | - |
dc.contributor.googleauthor | Patsopoulos, Nikolaos A. | - |
dc.contributor.googleauthor | Gupta, Namrata | - |
dc.relation.code | 2012200481 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF MEDICINE[S] | - |
dc.sector.department | DEPARTMENT OF MEDICINE | - |
dc.identifier.pid | scbae | - |
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