Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

biochemistry, genetics and molecular biology

Identification of secreted phosphoprotein 1 gene as a new rheumatoid arthritis susceptibility gene

Annals of the Rheumatic Diseases, Volume 74, No. 3, Article e19, Year 2015

Objective To evaluate the contribution of the SPP1 rs11439060 and rs9138 polymorphisms, previously reported as autoimmune risk variants, in the rheumatoid arthritis (RA) genetic background according to anticitrullinated protein antibodies (ACPAs) status of RA individuals. Methods We analysed a total of 11 715 RA cases and 26 493 controls from nine independent cohorts; all individuals were genotyped or had imputed genotypes for SPP1 rs11439060 and rs9138. The effect of the SPP1 rs11439060 and rs9138 risk-allele combination on osteopontin (OPN) expression in macrophages and OPN serum levels was investigated. Results We provide evidence for a distinct contribution of SPP1 to RA susceptibility according to ACPA status: the combination of ≥ 3 SPP1 rs11439060 and rs9138 common alleles was associated mainly with ACPA negativity (p=1.29× 10-5, ORACPA-negative 1.257 (1.135 to 1.394)) and less with ACPA positivity (p=0.0148, ORACPA-positive 1.072 (1.014 to 1.134)). The ORs between these subgroups (ie, ACPA-positive and ACPAnegative) significantly differed (p=7.33× 10-3). Expression quantitative trait locus analysis revealed an association of the SPP1 risk-allele combination with decreased SPP1 expression in peripheral macrophages from 599 individuals. To corroborate these findings, we found an association of the SPP1 risk-allele combination and low serum level of secreted OPN ( p=0.0157), as well as serum level of secreted OPN correlated positively with ACPA production (p=0.005; r=0.483). Conclusions We demonstrate a significant contribution of the combination of SPP1 rs11439060 and rs9138 frequent alleles to risk of RA, the magnitude of the association being greater in patients negative for ACPAs.

Statistics
Citations: 23
Authors: 26
Affiliations: 23
Research Areas
Genetics And Genomics
Study Design
Cohort Study
Study Approach
Quantitative