%0 Journal Article %A Ryosuke Hiwa %A Katsunori Ikari %A Koichiro Ohmura %A Shuichiro Nakabo %A Keitaro Matsuo %A Hiroh Saji %A Kimiko Yurugi %A Yasuo Miura %A Taira Maekawa %A Atsuo Taniguchi %A Hisashi Yamanaka %A Fumihiko Matsuda %A Tsuneyo Mimori %A Chikashi Terao %T HLA-DRB1 Analysis Identified a Genetically Unique Subset within Rheumatoid Arthritis and Distinct Genetic Background of Rheumatoid Factor Levels from Anticyclic Citrullinated Peptide Antibodies %D 2018 %R 10.3899/jrheum.170363 %J The Journal of Rheumatology %P 470-480 %V 45 %N 4 %X Objective. HLA-DRB1 is the most important locus associated with rheumatoid arthritis (RA) and anticitrullinated protein antibodies (ACPA). However, fluctuations of rheumatoid factor (RF) over the disease course have made it difficult to define fine subgroups according to consistent RF positivity for the analyses of genetic background and the levels of RF.Methods. A total of 2873 patients with RA and 2008 healthy controls were recruited. We genotyped HLA-DRB1 alleles for the participants and collected consecutive data of RF in the case subjects. In addition to RF+ and RF− subsets, we classified the RF+ subjects into group 1 (constant RF+) and group 2 (seroconversion). We compared HLA-DRB1 alleles between the RA subsets and controls and performed linear regression analysis to identify HLA-DRB1 alleles associated with maximal RF levels. Omnibus tests were conducted to assess important amino acid positions.Results. RF positivity was 88%, and 1372 and 970 RF+ subjects were classified into groups 1 and 2, respectively. RF+ and RF− showed similar genetic associations to ACPA+ and ACPA− RA, respectively. We found that shared epitope (SE) was more enriched in group 2 than 1, p = 2.0 × 10−5, and that amino acid position 11 showed a significant association between 1 and 2, p = 2.7 × 10−5. These associations were independent of ACPA positivity. SE showed a tendency to be negatively correlated with RF titer (p = 0.012). HLA-DRB1*09:01, which reduces ACPA titer, was not associated with RF levels (p = 0.70).Conclusion. The seroconversion group was shown to have distinct genetic characteristics. The genetic architecture of RF levels is different from that of ACPA. %U https://www.jrheum.org/content/jrheum/45/4/470.full.pdf