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Meta-Analysis
. 2014 Nov;73(11):2054-8.
doi: 10.1136/annrheumdis-2014-205643. Epub 2014 Aug 28.

Ankylosing spondylitis is associated with the anthrax toxin receptor 2 gene (ANTXR2)

Affiliations
Meta-Analysis

Ankylosing spondylitis is associated with the anthrax toxin receptor 2 gene (ANTXR2)

T Karaderi et al. Ann Rheum Dis. 2014 Nov.

Abstract

Objectives: ANTXR2 variants have been associated with ankylosing spondylitis (AS) in two previous genome-wide association studies (GWAS) (p∼9×10(-8)). However, a genome-wide significant association (p<5×10(-8)) was not observed. We conducted a more comprehensive analysis of ANTXR2 in an independent UK sample to confirm and refine this association.

Methods: A replication study was carried out with 2978 cases and 8365 controls. Then, these were combined with non-overlapping samples from the two previous GWAS in a meta-analysis. Human leukocyte antigen (HLA)-B27 stratification was also performed to test for ANTXR2-HLA-B27 interaction.

Results: Out of nine single nucleotide polymorphisms (SNP) in the study, five SNPs were nominally associated (p<0.05) with AS in the replication dataset. In the meta-analysis, eight SNPs showed evidence of association, the strongest being with rs12504282 (OR=0.88, p=6.7×10(-9)). Seven of these SNPs showed evidence for association in the HLA-B27-positive subgroup, but none was associated with HLA-B27-negative AS. However, no statistically significant interaction was detected between HLA-B27 and ANTXR2 variants.

Conclusions: ANTXR2 variants are clearly associated with AS. The top SNPs from two previous GWAS (rs4333130 and rs4389526) and this study (rs12504282) are in strong linkage disequilibrium (r(2)≥0.76). All are located near a putative regulatory region. Further studies are required to clarify the role played by these ANTXR2 variants in AS.

Keywords: Ankylosing Spondylitis; Epidemiology; Gene Polymorphism; Inflammation; Spondyloarthritis.

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Figures

Figure 1
Figure 1
Forest plots for overall meta-analysis of 9 single nucleotide polymorphisms (SNPs). Plots for SNPs with highly significant p-values, rs12504282 (p=6.7×10−9), rs4640621 (p=1.2×10−8), rs4333130 (p=2.5×10−8) and rs6534639 (p=4.5×10−6) show agreement across the studies with overlapping CIs. Two SNPs rs11098965 (I2=59%, Cochran's Q p=0.09) and rs4444471 (I2=54%, Cochran's Q p=0.11) exhibit some degree of heterogeneity, but this was not statistically significant (p>0.05).
Figure 2
Figure 2
Regional association plot showing ANTXR2 (CMG2) and all the single nucleotide polymorphisms (SNPs) in the study on the x-axis and their corresponding −log10p values on the y-axis. Historic sex-averaged recombination rates are also shown in blue (top panel). Linkage disequilibrium (r2, 1000 Genomes March 2012 European reference panel) between the top SNP rs12504282 (purple) and the other SNPs are also shown with colour-coding. ENCODE data showing that rs12504282 and the previous top genome-wide association studies (GWAS) SNPs are near a region of possible enhancer binding are presented in the bottom panel (A) Gene structure; (B) H3K27Ac mark, ie, often found near active regulatory elements; (C) DNaseI hypersensitivity clusters; (D) Transcription factor ChIP-seq; (E) Chromatin state segmentation; (F) Transcription factor binding sites by epitope-tag; G- Top SNPs from the previous GWAS (rs4333130 (TASC, 2010) and rs4389526 (WTCCC2, 2011)). These three top SNPs from three different studies are strongly correlated (rs4389526-rs4333130 r2=1.0, D′=1.0; rs4389526-rs12504282 r2=0.8, D′=1.0; rs4333130-rs12504282 r2=0.76, D′=1.0).

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