Table 2

Sequence variants outside the HLA locus that associate with RA overall, seropositive (rheumatoid factor and/or anti-CCP antibody positive) and/or seronegative RA in GWAS meta-analysis within six Northwestern-European countries (table 1). Association results are shown for the lead signals for all three RA groups, and the heterogeneity between the seropositive and seronegative subsets.† Effect alleles with novel associations are marked with.*

ChrPositionEffect allele* Close gene AnnotationSeropositive RASeronegative RARA overall Phet
OR P value OR P value OR P value
chr12 800 059rs897628-T* TTC34 Missense0.90 3.3E-16 0.98 0.18 0.94 1.9E-10 1.6E-05
chr1113 834 946rs2476601-A PTPN22 Missense1.59 1.3E-160 1.29 2.9E-27 1.41 3.9E-144 7E-13
chr1161 506 414rs9427397-T* FCGR2A Missense1.11 2.2E-08 1.02 0.55 1.07 3.3E-06 0.026
chr260 881 694rs67574266-A REL,PUS10 5-prime UTR1.08 6.2E-10 1.01 0.57 1.05 3.6E-07 2.0E-03
chr2111 119 036rs72836346-C* BCL2L11 Upstream gene1.14 2.5E-10 1.01 0.75 1.10 7.5E-09 1.4E-03
chr2191 073 180rs140675301-A* STAT4 Missense2.27 2.1E-09 1.23 3.4E-01 1.63 3.9E-06 0.017
chr2191 094 763rs4853458-A STAT4,GLS Intron1.11 5.2E-14 1.10 1.1E-06 1.10 2.7E-19 0.71
chr2203 880 280rs11571297-C CTLA4 Regulatory0.89 2.9E-20 0.95 2.2E-03 0.92 4.4E-19 7.5E-04
chr358 197 909rs35677470-A DNASE1L3 Missense1.13 2.0E-07 1.16 7.4E-07 1.10 1.8E-08 0.43
chr426 083 889rs10517086-A LINC02357 Intergenic1.11 6.2E-16 1.06 1.8E-03 1.09 7.1E-18 0.025
chr556 148 856rs7731626-A ANKRD55 Intron0.87 1.2E-26 0.87 8.4E-17 0.88 1.1E-39 0.83
chr6137 678 425rs35926684-G TNFAIP3 Regulatory1.12 4.3E-16 1.02 0.24 1.09 1.5E-14 1.3E-04
chr6159 085 568rs2451258-C.Regulatory0.91 1.6E-12 0.99 0.75 0.96 1.2E-05 4.2E-05
chr6167 127 770rs3093017-C CCR6 Intron1.11 1.8E-18 1.04 0.03 1.07 7.0E-15 6.1E-04
chr750 313 596rs10261758-G* IKZF1 Intron1.07 6.9E-07 1.04 0.04 1.07 3.6E-12 0.17
chr7128 938 247rs2004640-G* IRF5 Splice donor0.92 1.4E-11 0.94 1.9E-04 0.94 5.1E-13 0.25
chr811 480 078rs2409780-C BLK,FAM167A Regulatory1.09 1.1E-09 1.05 9.1E-03 1.08 1.3E-12 0.1
chr8100 105 506rs1471293-A* RGS22 5-prime UTR1.08 7.4E-10 1.04 3.4E-02 1.05 9.1E-08 0.039
chr9120 933 192rs35942002-A TRAF1 Upstream gene1.09 6.3E-13 1.05 9.1E-04 1.06 2.8E-09 0.1
chr106 056 986rs706778-T IL2RA Intron1.09 1.2E-11 1.07 3.7E-05 1.07 2.4E-12 0.36
chr1031 122 426rs1538981-C ZEB1 Regulatory0.91 8.1E-14 0.99 0.40 0.94 9.4E-12 9.4E-05
chr1164 340 005rs479777-C* CCDC88B Upstream gene0.93 2.7E-09 0.92 7.4E-07 0.94 1.4E-10 0.68
chr11118 870 448rs7117261-T.Regulatory0.90 2.0E-12 0.94 1.3E-03 0.92 7.6E-13 0.13
chr11128 627 057rs73013527-C LOC105369568 Intergenic1.08 2.7E-10 1.04 0.03 1.06 7.7E-10 0.045
chr12111 446 804rs3184504-T SH2B3 Missense1.10 7.6E-16 1.08 1.6E-06 1.08 1.1E-17 0.38
chr1328 029 870rs76428106-C* FLT3 Intron1.35 6.6E-11 1.15 0.03 1.23 1.7E-08 0.041
chr1339 788 092rs8002731-C COG6 Intron0.92 3.5E-10 0.94 2.1E-04 0.93 1.7E-14 0.35
chr1492 651 884rs117068593-T* RIN3 Missense0.93 3.2E-05 0.94 9.8E-03 0.93 1.9E-09 0.59
chr1569 751 888rs11636401-G*.TF binding site0.91 2.0E-16 0.95 7.1E-04 0.93 4.3E-15 0.045
chr1685 982 485rs9939427-A IRF8 Intergenic1.10 5.2E-11 1.06 4.6E-03 1.07 1.7E-10 0.14
chr1688 981 246rs62045818-C* CBFA2T3 Upstream gene0.93 8.9E-10 1.00 9.3E-01 0.96 3.1E-05 5.7E-04
chr1739 908 216rs11078928-C GSDMB Splice acceptor1.07 1.3E-07 1.05 1.3E-03 1.04 1.9E-05 0.34
chr1910 352 442rs34536443-C TYK2 Missense0.69 2.7E-27 0.81 1.6E-06 0.75 2.5E-29 4.0E-03
chr1910 359 299rs12720356-C* TYK2 Missense0.87 2.3E-09 0.90 7.5E-04 0.90 4.3E-10 0.38
chr1910 354 167rs35018800-A* TYK2 Missense0.63 1.4E-11 0.86 0.07 0.77 1.4E-07 3.7E-03
chr2135 340 290rs8129030-T.Regulatory0.92 1.1E-11 0.96 0.01 0.95 2.3E-08 0.038
chr2144 236 891rs11558819-T* ICOSLG Missense0.91 1.6E-09 0.98 0.26 0.95 1.2E-05 1.9E-03
  • *Sequence variants that remain significant after adjustment for previously reported sequence variants (online supplemental table 1). Bold indicates candidate causal genes (summarised in figure 2).

  • †We performed a meta-analysis using logistic regression analysis assuming a multiplicative model, reporting OR and two-sided p values adjusted for year of birth, sex and origin (Iceland) or the first 20 principal components (other countries). Variants were split into five classes based on their genome annotation and significance threshold based on the number of variants in each class. The adjusted significance thresholds are 1.3×10–7 for variants with high impact (splice donor, splice acceptor, stop gained, frameshift, stop lost, initiator codon), 2.6×10–8 for variants with moderate impact (missense, splice region, stop retained, inframe indels), 2.4×10–9 for low-impact variants (synonymous, 5’ UTR, 3’ UTR, upstream and downstream), 1.2×10–9 for other low-impact variants in DNase I hypersensitivity sites (intronic, intergenic, regulatory-region) and 5.92×10–10 for all other variants not in DNase I hypersensitivity sites. Primary signal at each locus (1 Mb) was selected based on conditional association analysis of all variants at each locus, using Bonferroni corrected p values (0.05×P/class-specific p value threshold). We report the coding signal when two markers are equivalent after conditional analysis. Secondary signals are sequence variants that remained GWAS significant after adjustment for the lead signal and other independent (secondary) signals at the locus. When different but correlated variants are lead in RA overall and seropositive RA, the seropositive RA signal is presented here. See further in online supplemental tables 2 and 3.

  • GWAS, genome-wide association study; Phet, a p value for test of heterogeneity between the effects in seropositive and seronegative RA subsets; RA, rheumatoid arthritis.