Objectives

Using a genome-wide association scan and DNA pooling, we previously identified 5 novel genetic susceptibility loci for Behçet’s disease. Herein, we establish the genetic effect within the UBAC2 gene, replicate this genetic association, and identify a functional variant within this locus.

Methods

A total of 676 Behçet’s disease patients and 1,096 controls were studied. The discovery set included 156 patients and 167 controls from Turkey, and the replication sets included 376 patients and 369 controls, and 144 patients and 560 controls, from Turkey and Italy, respectively. Genotyping of 14 SNPs within and around UBAC2 was performed using TaqMan SNP genotyping assays.

Results

The genetic association between Behçet’s disease and UBAC2 was established, replicated and confirmed (Meta-analysis OR= 1.84, meta-analysis P= 1.69X10−7). Haplotype analysis identified both a disease risk and a protective haplotype (P= 0.00014 and 0.0075, respectively). Using conditional haplotype analysis we identified the SNP rs7999348 (A/G) within UBAC2 as the most likely SNP with a genetic effect independent of the haplotypic effect formed by the remaining associated SNPs in this locus. Indeed, we demonstrate that rs7999348 tags a functional variant associated with increased mRNA expression of a UBAC2 transcript variant in PBMCs of individuals homozygous for the Behçet’s disease-associated “G” allele. Further, our data suggest the possibility of multiple genetic effects that increase susceptibility to Behçet’s disease in the UBAC2 locus.

Conclusion

We established and confirmed the genetic association between UBAC2 and Behçet’s disease in three independent sets of patients and controls. We identified the minor allele in rs7999348 as a disease-risk allele that tags altered UBAC2 expression.

Objective

Systemic lupus erythematosus is a clinically heterogeneous autoimmune disease. A number of genetic loci that increase lupus susceptibility have been established. This study examines if these genetic loci also contribute to the clinical heterogeneity in lupus.

Materials and methods

4001 European-derived, 1547 Hispanic, 1590 African-American and 1191 Asian lupus patients were genotyped for 16 confirmed lupus susceptibility loci. Ancestry informative markers were genotyped to calculate and adjust for admixture. The association between the risk allele in each locus was determined and compared in patients with and without the various clinical manifestations included in the ACR criteria.

Results

Renal disorder was significantly correlated with the lupus risk allele in ITGAM (p=5.0×10−6, OR 1.25, 95% CI 1.12 to 1.35) and in TNFSF4 (p=0.0013, OR 1.14, 95% CI 1.07 to 1.25). Other significant findings include the association between risk alleles in FCGR2A and malar rash (p=0.0031, OR 1.11, 95% CI 1.17 to 1.33), ITGAM and discoid rash (p=0.0020, OR 1.20, 95% CI 1.06 to 1.33), STAT4 and protection from oral ulcers (p=0.0027, OR 0.89, 95% CI 0.83 to 0.96) and IL21 and haematological disorder (p=0.0027, OR 1.13, 95% CI 1.04 to 1.22). All these associations are significant with a false discovery rate of <0.05 and pass the significance threshold using Bonferroni correction for multiple testing.

Conclusion

Significant associations were found between lupus clinical manifestations and the FCGR2A, ITGAM, STAT4, TNSF4 and IL21 genes. The findings suggest that genetic profiling might be a useful tool to predict disease manifestations in lupus patients in the future.