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High-density genotyping of immune loci in Koreans and Europeans identifies eight new rheumatoid arthritis risk loci.

Authors :
Kwangwoo Kim
So-Young Bang
Hye-Soon Lee
Soo-Kyung Cho
Chan-Bum Choi
Yoon-Kyoung Sung
Tae-Hwan Kim
Jae-Bum Jun
Dae Hyun Yoo
Young Mo Kang
Seong-Kyu Kim
Chang-Hee Suh
Seung-Cheol Shim
Shin-Seok Lee
Jisoo Lee
Won Tae Chung
Jung-Yoon Choe
Hyoung Doo Shin
Jong-Young Lee
Bok-Ghee Han
Source :
Annals of the Rheumatic Diseases; Mar2015, Vol. 74 Issue 3, p1-8, 8p
Publication Year :
2015

Abstract

Objective A highly polygenic aetiology and high degree of allele-sharing between ancestries have been well elucidated in genetic studies of rheumatoid arthritis. Recently, the high-density genotyping array Immunochip for immune disease loci identified 14 new rheumatoid arthritis risk loci among individuals of European ancestry. Here, we aimed to identify new rheumatoid arthritis risk loci using Korean-specific Immunochip data. Methods We analysed Korean rheumatoid arthritis case-control samples using the Immunochip and genome-wide association studies (GWAS) array to search for new risk alleles of rheumatoid arthritis with anticitrullinated peptide antibodies. To increase power, we performed a meta-analysis of Korean data with previously published European Immunochip and GWAS data for a total sample size of 9299 Korean and 45 790 European case-control samples. Results We identified eight new rheumatoid arthritis susceptibility loci (TNFSF4, LBH, EOMES, ETS1-FLI1, COG6, RAD51B, UBASH3A and SYNGR1) that passed a genome-wide significance threshold (p<5 x10<superscript>-8</superscript>), with evidence for three independent risk alleles at 1q25/ TNFSF4. The risk alleles from the seven new loci except for the TNFSF4 locus (monomorphic in Koreans), together with risk alleles from previously established RA risk loci, exhibited a high correlation of effect sizes between ancestries. Further, we refined the number of single nucleotide polymorphisms (SNPs) that represent potentially causal variants through a trans-ethnic comparison of densely genotyped SNPs. Conclusions This study demonstrates the advantage of dense-mapping and trans-ancestral analysis for identification of potentially causal SNPs. In addition, our findings support the importance of T cells in the pathogenesis and the fact of frequent overlap of risk loci among diverse autoimmune diseases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00034967
Volume :
74
Issue :
3
Database :
Complementary Index
Journal :
Annals of the Rheumatic Diseases
Publication Type :
Academic Journal
Accession number :
101030502
Full Text :
https://doi.org/10.1136/annrheumdis-2013-204749