GWAS implicates a role for quantitative immune traits and threshold effects in risk for human autoimmune disorders

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Genome wide association studies in human autoimmune disorders have provided a long list of alleles with rather modest degrees of risk. A large fraction of these associations are probably owing to either quantitative differences in gene expression or amino acid changes that regulate quantitative aspects of the immune response. While functional studies are still lacking for most of these associations, we present examples of autoimmune disease risk alleles that influence quantitative changes in lymphocyte activation, cytokine signaling and dendritic cell function. The analysis of immune quantitative traits associated with autoimmune loci is clearly going to be an important component of understanding the pathogenesis of autoimmunity. This will require both new and more efficient ways of characterizing the normal immune system, as well as large population resources in which genotype–phenotype correlations can be convincingly demonstrated. Future development of new therapies will depend on understanding the mechanistic underpinnings of immune regulation by these new risk loci.

Highlights

► A large number of associations for autoimmunity have been identified, generally involving common variants of modest effect. ► Many associations defined by GWAS are in non-coding regions and appear to regulate quantitative effects on gene expression. ► A large fraction of the common variants act through quantitative changes in thresholds for immune signaling and activation.

Section snippets

Simple model of autoimmunity: autoantigen presentation and thresholds of immune activation in the adaptive immune system

Given the diversity of autoantigens that have been identified, many models of autoimmunity understandably emphasize role of autoantigen presentation in the context of a class I or class II MHC molecule to T cells and B cells, as shown in Figure 1. Much of disease specificity (whether a person develops rheumatoid arthritis [RA] or type 1 diabetes) is likely to be determined by this combination of factors. For example, if the autoantigen is gliadin presented in a DQ2 class II MHC molecule, then a

Thresholds for TCR and BCR signaling in autoimmunity

The original PTPN22 associations with type 1 diabetes [4] and rheumatoid arthritis [5], now expanded to many other autoimmune diseases, have emphasized the importance of signaling thresholds in disease predisposition, and, at the same time have demonstrated how difficult it is to conclusively determine how these threshold effects cause disease risk. PTPN22 encodes an intracellular tyrosine phosphatase that dephosphorylates activating tyrosines on src kinases such as Lck, as well as other

Quantitative traits in cytokine pathways

Cytokines, their receptors and signaling components are clearly important for regulating a wide variety of immunological activities, and it is therefore not surprising that many of the genetic regions implicated by GWAS contain genes in these pathways. However, relatively few studies in humans have directly demonstrated an effect of disease associated polymorphisms on cytokine function. It is often challenging to identify the exact causative variant(s) that explain a genetic association,

Immune regulation by dendritic cells

Highlighted by the 2011 Nobel Prize, dendritic cells have taken center stage as potent initiators of immune responses as well as mediating immune tolerance, both central and peripheral [34]. Many of the peripheral tolerance mechanisms appear to depend on Treg cells as well as the production of TGFβ. A deficiency of TGFβ signaling in DC leads to experimental autoimmune colitis. DC specific knockout of genes associated with human autoimmunity on GWAS, such as Blimp1 and TNFAIP3, leads to

Population resources for genotype–phenotype studies of quantitative immune traits

These results suggest that many GWAS discoveries in autoimmune diseases will be associated with rather subtle changes in immune responsiveness and/or immune regulatory differences that are quantitative in nature. This may be owing to the presence of structural amino acid changes, as in PTPN22, or changes in gene regulation that are specific to particular cells and stages of differentiation. In order to dissect these relationships, a large population resource of human subjects carrying the

Conclusion

GWAS and related gene discovery approaches have revealed the importance and complexity of identifying and understanding the functional consequences of genetic variation on biological systems. As described in this review for immune-mediated traits, we are beginning to unravel the quantitative effects of risk alleles on the immune response. The examples provided here, together with the unique resources such as repositories of healthy controls and patients, offer hope that new avenues for therapy

References and recommended reading

Papers of particular interest, published within the period of review, have been highlighted as:

  • • of special interest

  • •• of outstanding interest

Acknowledgements

PKG is supported by grants from the National Institutes of Health (RO1-AR-44422; RO1-AI-68759; RC2AR059092-01) and the Alliance for Lupus Research, in addition to support from Eileen Ludwig Greenland and the Boas family. BD is supported by the Alliance for Lupus Research. RMP is supported by grants from the NIH (R01-AR057108, R01-AR056768, U01-GM092691, R01-AR059648), and holds a Career Award for Medical Scientists from the Burroughs Wellcome Fund.

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