To understand the genetic predisposition to selective immunoglobulin A deficiency (IgAD), we performed a genome-wide association study in 430 affected individuals (cases) from Sweden and Iceland and 1,090 ethnically matched controls, and we performed replication studies in two independent European cohorts. In addition to the known association of HLA with IgAD, we identified association with a nonsynonymous variant in IFIH1 (rs1990760G>A, P = 7.3 x 10(-10)) which was previously associated with type 1 diabetes and systemic lupus erythematosus. Variants in CLEC16A, another known autoimmunity locus, showed suggestive evidence for association (rs6498142C>G, P = 1.8 x 10(-7)), and 29 additional loci were identified with P < 5 x 10(-5). A survey in IgAD of 118 validated non-HLA autoimmunity loci indicated a significant enrichment for association with autoimmunity loci as compared to non-autoimmunity loci (P = 9.0 x 10(-4)) or random SNPs across the genome (P < 0.0001). These findings support the hypothesis that autoimmune mechanisms may contribute to the pathogenesis of IgAD.
Selective IgA deficiency (SIgAD) is the most common primary immunodeficiency in Caucasians with a prevalence of 1/600 and is generally considered a mild disorder. In this study, the clinical status of 32 adults with SIgAD was investigated and compared to 63 age- and gender matched controls, randomly selected from a population database. The SIgAD individuals reported significantly more often contracting various upper and lower respiratory infections, with 8 (25.0 %) having been diagnosed with ≥1 pneumonia in the preceding two years, compared to one (1.6 %) control (p < 0.001). Furthermore, the SIgAD individuals were found to have increased proneness to infections and increased prevalence of allergic diseases and autoimmunity, with a total of 84.4 % being affected by any of these diseases, compared to 47.6 % of the controls (p < 0.01). This study challenges the common statement of SIgAD being a mild form of immunodeficiency. It also highlights the importance of using matched controls in PID clinical research to better detect clinically important manifestations.
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