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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Nat Rev Rheumatol. Author manuscript; available in PMC Jul 13, 2011.
Published in final edited form as:
PMCID: PMC3135416
NIHMSID: NIHMS302724
Genetic susceptibility to systemic lupus erythematosus in the genomic era
Yun Deng and Betty P. Tsao
Division of Rheumatology, Department of Medicine, 900 Veteran Avenue, David Geffen School of Medicine, University of California, Los Angeles, CA 90095-1670, USA
Correspondence to: B. P. Tsao ; btsao/at/mednet.ucla.edu
Our understanding of the genetic basis of systemic lupus erythematosus (SLE) has been rapidly advanced using large-scale, case–control, candidate gene studies as well as genome-wide association studies during the past 3 years. These techniques have identified more than 30 robust genetic associations with SLE including genetic variants of HLA and Fcγ receptor genes, IRF5, STAT4, PTPN22, TNFAIP3, BLK, BANK1, TNFSF4 and ITGAM. Most SLE-associated gene products participate in key pathogenic pathways, including Toll-like receptor and type I interferon signaling pathways, immune regulation pathways and those that control the clearance of immune complexes. Disease-associated loci that have not yet been demonstrated to have important functions in the immune system might provide new clues to the underlying molecular mechanisms that contribute to the pathogenesis or progression of SLE. Of note, genetic risk factors that are shared between SLE and other immune-related diseases highlight common pathways in the pathophysiology of these diseases, and might provide innovative molecular targets for therapeutic interventions.
Systemic lupus erythematosus (SLE) is a complex auto-immune disease that occurs in genetically-predisposed individuals who have experienced certain environmental or stochastic stimuli. A diagnosis of SLE can be made if an individual fulfills four out of 11 specific criteria; the clinical presentations and autoantibody profiles of patients with SLE can, therefore, vary substantially. Despite phenotypic heterogeneity, a strong genetic contribution to the development of SLE is supported by the high heritability of the disease (>66%), a higher concordance rate for SLE in monozygotic twins than in dizygotic twins or siblings (24–56% versus 2–5%, respectively), and the high sibling recurrence risk ratio of patients with SLE (between eightfold and 29-fold higher than in the general population).1,2
Epidemiologic studies of SLE have led to an increased interest in studying the genetic basis of the disease. Candidate gene case–control studies are commonly used to assess whether a test genetic marker is present at a higher frequency among patients with SLE than in ethnically-matched healthy control individuals. This approach has successfully established that variants of the MHC class II and the Fcγ receptor (FcγR) genes confer predisposition to SLE, as does a deficiency of the complement components C1q, C2 or C4. Candidate genes are chosen on the basis of their functional relevance to disease pathogenesis. A separate unbiased genome-wide linkage analysis approach has also been developed, in which multiallelic microsatellite markers are screened at 10–15 kb genomic intervals to identify chromosomal regions associated with risk that are shared among multiple affected members of a family. A total of 12 genome scans of families with SLE have identified a number of putative susceptibility loci and also contributed to the discovery of new risk genes, such as ITGAM on chromosome 16p11.2.3 However, the utility of linkage studies in precisely localizing causal variants is limited owing to a lack of dense marker sets and an inability to map genetic variants of small phenotypic effect size. Advances in high throughput technology have enabled the genotyping of hundreds of thousands of single nucleotide polymorphisms (SNPs) in a single individual, which facilitates the mapping of complex disease loci throughout the genome. Six genome-wide association studies (GWAS) in patients with SLE (four in populations of European ancestry and two in Asian populations) have increased the number of established genetic associations with SLE during the past few years (Table 1).410 For instance, these studies have identified 18 novel SLE-associated non-HLA loci that reach genome-wide significance, 12 of which have been replicated independently. In addition, candidate gene studies have identified and independently confirmed 13 SLE-associated loci (including HLA loci), most of which are also confirmed in GWAS (Table 1). To visualize how these 31 SLE-associated risk loci might affect both innate and adaptive immune responses leading to the development of disease manifestations, we have developed a working model according to the current understanding of important immunological pathways involved in the pathogenesis of SLE (Figure 1).1114
Table 1
Table 1
SLE risk loci identified through GWAS in various ethnic groups
Figure 1
Figure 1
Model of SLE-associated genetic variants in the immune response. This model is derived from current understandings of important immunological pathways involved in SLE pathogenesis, as highlighted by the identified SLE susceptibility loci. a | Processing (more ...)
Individual genetic risk variants associated with SLE each have a modest magnitude of risk with an odds ratio in the range of 1.1–2.3 (Table 1). However, the genetic risk for SLE involves multiple genes and so the overall genetic risk for SLE is higher than in many other auto-immune diseases including rheumatoid arthritis, type 1 diabetes, Graves disease, multiple sclerosis, and psoriasis.15 GWAS have identified risk loci shared between SLE and other autoimmune disorders (Table 2), implying that common immunological mechanisms exist among some of these disease processes. In this Review, we highlight established and novel genetic risk factors for SLE, the identification of which has revealed new paradigms for the pathogenesis of the disease, and might provide new therapeutic targets for disease management.
Table 2
Table 2
SLE risk loci shared with other autoimmune diseases
The first genetic association described for SLE was with the HLA region at chromosome 6p21.3, which encodes over 200 genes, many with known immunological roles.16,17 The HLA region is subdivided into the class I and class II regions, which contain genes encoding glycoproteins that process and present peptides for recognition by T cells, and the class III region containing other important immune genes (such as TNF, C2, C4A, C4B and CFB). GWAS in both European and Asian populations have shown that the strongest contribution to risk for SLE resides in the HLA region and consists of multiple genetic effects.4,5,710 The long-range linkage disequilibrium (LD) within the HLA region has made assessing the relative contribution of each component gene to disease susceptibility difficult; however, the available evidence suggests that genetic variants of HLA class II (such as HLA-DR2 and HLA-DR3) and class III (such as MSH5 and SKIV2L) genes, in particular, predispose an individual to SLE.
HLA class II region genes
The HLA-DR2 (DRB1*1501) and HLA-DR3 (DRB1*0301) class II genes have been found to consistently associate with SLE in many European populations, with a twofold relative risk conferred by each allele.18 The extended HLA haplotype, for example HLA-A1, B8, C4AQ0, C4B1, DR3, and DQ2, containing two class III gene alleles (C4AQ0 and the TNF –308A allele) is considered a common European haplotype implicated in SLE susceptibility. Using genotypes of almost 100 microsatellite HLA markers, three individual haplotypes—DRB1*1501(DR2)-DQB1*0602, DRB1*0801(DR8)-DQB1*0402, and DRB1*0301(DR3)-DQB1*0201—have been identified to associate with SLE susceptibility.19 In the study that found these associations, both the class I and class III regions (which include TNF, C2, C4A and C4B) might have been excluded from the critical risk region (~500 kb) of the DRB1*1501 extended haplotype.19 The long-range LD of the DRB1*0301-containing haplotype reduces ancestral recombinants (when one portion of the genome is inherited from one individual and the other portion from another individual), resulting in a ~1 Mb critical genomic segment of most class II and class III regions. The risk interval of the DRB1*0801 haplotype, which is less common in Europeans than in Hispanics, has been narrowed to ~500 kb. In addition to European populations, the associations between SLE susceptibility and HLA-DR2 and HLA-DR3 have been confirmed in Asian populations.2022 Furthermore, the role of SLE-associated HLA class II alleles in initiating SLE-relevant autoantibody responses has been demonstrated in humanized mice expressing the HLA-DR3 transgene but not other DR or DQ alleles.23
HLA class III region genes
Complete deficiencies of C2 or C4 are rare and are associated with a high risk of developing SLE.24 Over 75% of patients with C4-deficiency and about 20% of those with C2-deficiency develop SLE or a lupus-like disease.25,26 C4A and C4B code for complement C4-A and complement C4-B proteins, respectively, which have different functional characteristics; complement C4-A has a higher affinity for immune complexes (ICs) and stronger genetic evidence for an association with SLE than complement C4-B.27,28 The C4A null allele (deficiency of C4A), is associated with SLE susceptibility in multiple ethnic groups, including European and East Asian populations.29 Healthy European Americans exhibit copy number variations (CNVs) of total C4 that range from two to six gene copies; decreases in C4A (but not C4B) copy number predisposes to developing SLE while having three or more copies of C4A protects against SLE.30 CNVs of C4 genes determine the basal levels of circulating complement C4 proteins that function in the clearance of ICs, which can otherwise promote autoimmunity. A functional SNP in the promoter region of TNF (–308G>A), which is located ~400 kb telomeric to the C4 genes in the HLA class III region, has been associated with SLE susceptibility in some studies, but was excluded as an independent risk factor in family-based association studies from the UK31 and USA.30 Of interest, the UK study showed that a novel HLA class III locus, SKIV2L (also known as SKI2W; an RNA helicase gene that is located 11.3 kb upstream of C4A32), is associated with SLE independent of class II loci.31 Another SNP (rs3131379) in the HLA class III locus MSH5 exhibited the highest SLE-associated signal in a GWAS conducted in 2008.5 Furthermore, a study that screened the MHC genomic region of 1,610 European-derived patients with SLE (and 1,470 of their parents) for 1,974 high-density SNPs identified multiple independent loci associated with SLE, including DRB1*0301, DRB1*1401, DRB1*1501 and the DQB2 alleles, CREBL1, MICB and OR2H2.33 Overall, these studies highlight the important contributions of HLA class III genes to SLE susceptibility. In the future, the collection of samples from multiple ethnic groups might permit the mapping of a wide range of populations in order to overcome long-range LD among MHC loci, thereby facilitating the identification of multiple independent functional variants predisposing to SLE susceptibility.
During the past few years, technological advances and collaboration among investigators have enabled GWAS to be performed using a combination of European and Asian populations with SLE. The genetic associations identified in these studies highlight major SLE susceptibility genes common to multiple ethnic populations. This approach facilitates the localization of causal variants on the basis of population differences in LD of the genetic markers and the putative casual variants (Supplementary Table 1 online). Results from these studies not only confirmed the importance of several non-HLA loci previously implicated in the disease, but also identified a number of novel genes, some of which encode proteins that function in various aspects of the immune system, while others have no known relationship to the pathogenesis of SLE.
IRF5
Interferon (IFN) regulatory factor 5 (IRF5; encoded by IRF5)—a pivotal transcription factor in the type I IFN pathway (Figure 1b)—regulates the expression of IFN-dependent genes, inflammatory cytokines and genes involved in apoptosis. IRF5 is one of the most strongly and consistently SLE-associated loci outside the MHC region and was detected using both candidate gene and GWAS approaches (Table 1). Association studies derived from multiple ethnic groups have identified four functional IRF5 variants: a 5 bp indel (insertion–deletion) near the 5′ untranslated region (UTR), rs2004640 in the first intron, a 30 bp indel in the sixth exon and rs10954213 in the 3′ UTR.3442 The haplotypes defined by different combinations of these SNPs are associated with increased, decreased, or neutral levels of risk for SLE. Increased risk haplotypes are associated with functional changes in IRF5-mediated signaling, including increased expression of IRF5 mRNA and interferon-inducible chemokines, as well as elevated α activity.43,44 Indeed, IRF5 is necessary for the development of lupus-like disease in mice, as was demonstrated using Irf5-deficient mice and Irf5-sufficient FcγRIIB−/−Yaa mice, implying a role for IRF5 in mediating SLE pathogenesis through pathways beyond type I IFN production.45
STAT4
STAT4 encodes the signal transducer and activator of transcription 4 protein (STAT4) and has been found to associate with SLE in multiple GWAS using populations of European or Asian ancestry (Table 1). As in previous candidate gene studies, the minor T allele of rs7574865, in the third intron of STAT4, is strongly associated with SLE with an odds ratio of 1.5–1.7.5,710,4649 Interestingly, this rs7574865 risk variant is associated with a more- severe SLE phenotype that is characterized by disease-onset at a young age (<30 years), a high frequency of nephritis, the presence of antibodies towards double-stranded DNA,47,49,50 and an increased sensitivity to IFN-α signaling in peripheral blood mononuclear cells.51 Studies to identify causal variants of STAT4 led to the discovery of several markers that are independently associated with SLE and/or with differential levels of STAT4 expression;50,52,53 a risk haplotype (spanning 73 kb from the third intron to the seventeenth exon of STAT4) common to European Americans, Koreans and Hispanic Americans was also identified.53 Functionally, either type I IFN or interleukin (IL)-12 induces phosphoryla-tion of STAT4, which has a signal transduction role in these pathways. Individuals carrying one or more risk alleles of both IRF5 and STAT4 have an increased risk for SLE, suggesting a genetic interaction between these two genes (Figure 1b).50
PTPN22
PTPN22 encodes tyrosine-protein phosphatase non- receptor type 22 (PTPN22), a lymphoid-specific phosphatase that inhibits T-cell activation (Figure 1c).54 The nonsynonymous SNP rs2476601 (Arg620Trp) is associated with a risk of developing multiple auto-immune diseases including SLE,55 providing evidence for shared mechanisms between these diseases despite differences in disease manifestations. GWAS of SLE have confirmed the association between rs2476601 and SLE in European-derived populations,5,8 but not in Asian-derived populations,9,10 possibly attributable to greater variability in allele frequencies in European populations (2–15%).55 The Arg620Trp substitution increases the intrinsic lymphoid-specific phosphatase activity of PTPN22, which reduces the threshold for T-cell receptor (TCR) signaling and promotes autoimmunity.56 By contrast, a PTPN22 variant (Arg263Gln in the catalytic domain) that reduces the phosphatase activity of PTPN22 and, therefore, increases the threshold for TCR signaling has been associated with protection against SLE in European-derived populations.57 A connection between PTPN22 and the type I IFN pathway has been suggested on the basis of elevated serum IFN-α activity and decreased tumor necrosis factor (TNF) levels in patients with SLE carrying the rs2476601 risk allele.58
FcγR genes
FCGR2A, FCGR3A, FCGR3B, and FCGR2B encode FcγRs (low-affinity Fcγ receptors for IgG), which recognize ICs (Figure 1a) and are involved in antibody-dependent responses (Figure 1c). Various functional variants of these genes have been identified as risk factors for SLE. The nonsynonymous SNP rs1801274 (His131Arg) of FCGR2A is associated with a low affinity for IgG2-opsonized particles (by contrast, His131 is associated with a high affinity for these particles), and reduced clearance of ICs.59 However, rs1801274 showed inconsistent association with susceptibility to SLE or lupus nephritis, or both, in various ethnic groups including Europeans, African Americans and Koreans.6064 Ethnic differences, disease heterogeneity, genotyping error (owing to extensive sequence homo logy among FcγR genes) and random fluctuations in small samples might explain these inconsistent associations. A GWAS conducted in 2008 confirmed the association of rs1801274 with SLE in women of European descent.5
A nonsynonymous SNP in FCGR3A (rs396991; Phe158Val or Phe176Val if the leader sequence is included) alters the binding affinities of the encoded receptor for ICs containing IgG1, IgG3 or IgG4. The low-affinity phenylalanine allele that confers less-efficient clearance of ICs than other alleles was associated with SLE susceptibility,65 but, in patients with SLE and renal involvement, the high-affinity valine allele was associated with progression to end-stage renal disease.66 Since IgG2 and IgG3 are major subclasses of ICs deposited in renal biopsy samples of patients with lupus nephritis,67 the relative importance of FCGR2A-H/R131 and FCGR3A-V/F158 to disease progression might depend on the IgG subclass of pathogenic autoantibodies in an individual patient. Because these alleles are often inherited together,68 the presence of multiple risk alleles might interact to enhance the risk for SLE.69
A nonsynonymous SNP in the transmembrane domain of FCGR2B (Ile187Thr) that alters the inhibitory function of FcγRIIb on B cells is associated with SLE in Asian populations,7072 but not in European Americans, African Americans or Swedish populations partly owing to their low allele frequencies.7375 The FcγRIIb encoded by the Thr187 allele is excluded from lipid rafts, which results in impaired inhibition of B-cell activation and promotes autoimmunity.76 A promoter haplotype (–386G/–120T) that confers increased transcription of FCGR2B is associated with SLE in European Americans.77
Six SNPs exist in FCRG3B, underlying three different allotypic variants of FcγRIIIb (NA1, NA2 and SH). NA1 and NA2 differ in four amino acid positions including two potential glycosylation sites, resulting in a decreased capacity to mediate phagocytosis in individuals homozygous for NA2.78 Although Hatta et al.79 reported an association between the NA2 allotype and SLE in a Japanese population, this observation has not been replicated, suggesting that the association between SLE and this genomic region might be influenced by other genetic variations. Both duplication and deficiency of FCGR3B were reported in normal individuals, demonstrating CNVs in general populations.80,81 A low copy number of FCGR3B is associated with a decrease in protein expression, IC uptake and neutrophil adhesion to ICs,82 which might explain why individuals with fewer than two copies of FCGR3B have a higher risk for SLE (with or without nephritis). An integrated approach to simultaneously assess CNVs, allotypic variants, and SNPs in large-scale case–control studies including multiple ethnic populations is needed to dissect the relative contribution of various variants in this complex FCGR locus to SLE.
C1q genes
The complement system, through opsonization, facilitates the clearance of apoptotic debris and cellular fragments that might contain nuclear antigens, which are targets for SLE-associated autoantibodies. Complement component 1q (C1q; encoded by C1QA, C1QB and C1QC) is part of the classical pathway of complement activation, and, together with the enzymatically active components C1r and C1s, forms the C1 complex. Complete deficiency of C1q, although rare, is a powerful SLE risk factor and >90% of individuals with this deficiency develop SLE or lupus-like manifestations.83 In addition, a synonymous SNP of C1QA (rs172378), of which allele A is linked to decreased levels of serum C1q, is associated with subacute cutaneous lupus.84 Other SNPs in the C1q genes are also associated with subphenotypes of SLE (such as lupus nephritis and photosensitivity) in African American and Hispanic populations.85 The pathogenic mechanism in these cases is thought to be defective IC clearance (Figure 1a). However, studies have found that C1q has a regulatory effect on cytokine production induced by Toll-like receptors (TLRs),86 as well as IC-induced IFN-α production,87 providing additional explanations for the elevated risk for SLE associated with C1q-deficiency.
The IRAK1-MECP2 region
IL-1 receptor-associated kinase 1 (IRAK1; encoded by IRAK1), a serine–threonine protein kinase, regulates multiple pathways in both innate and adaptive immune responses by linking several immune-receptor-complexes to TNF receptor-associated factor 6.88 In mouse models of lupus, Irak1 is shown to regulate nuclear factor κ B (NFκB) in TCR signaling and TLR activation, as well as the induction of IFN-α and IFN-γ (Figure 1b),89 implicating IRAK1 in SLE. In a study of four different ethnic groups, multiple SNPs within IRAK1 were associated with both adult-onset and childhood-onset SLE.89
Another potential risk gene for SLE, methyl-CpG-binding protein 2 (MECP2), located in a region of LD with IRAK1, has a critical role in the transcriptional suppression of methylation-sensitive genes.90 A large replication study in a European-derived population confirmed the importance of this region (IRAK1–MECP2) to SLE, although further work is required to identify the causal variants.7 The location of IRAK1 and MECP2 on the X chromosome raises the possibility that gender bias of SLE might, in part, be attributed to sex chromosome genes.
TREX1
TREX1 encodes 3′ repair exonuclease 1, a major 3′–5′ DNA exonuclease. This enzyme proofreads DNA polymerase and potentially also functions as a DNA-degrading enzyme in granzyme-A-mediated apoptosis and as a cytosolic DNA sensor (Figure 1a).91 TREX1-deficiency impairs DNA damage repair, leading to the accumulation of endogenous retroelement-derived DNA. Defective clearance of this DNA induces IFN production and an immune-mediated inflammatory response, promoting systemic autoimmunity. A study of populations from the UK, Germany and Finland reported mono-allelic frameshift or missense mutations and a single 3′ UTR variant of TREX1 present in patients with SLE, all of which were absent in controls.92 Another study identified several novel mutations of TREX1 in patients with Aicardi–Goutieres syndrome, which shares several common features with SLE.93 Although rare, the association of TREX1 with SLE indicates a role for the defective clearance of damaged DNA in the activation of innate immunity and the development of SLE.
TNFSF4
TNF ligand superfamily member 4 (also known as OX40L; encoded by TNFSF4) and its receptor, TNF receptor superfamily member 4 (OX40L receptor), are expressed on antigen-presenting cells and activated T cells, respectively (Figure 1c). Their interaction induces the production of co-stimulatory signals to activate T cells. OX40L-mediated signaling inhibits the generation and function of IL-10-producing CD4+ type 1 regulatory T cells, but induces B-cell activation and differentiation, as well as IL-17 production.94,95 A study using both case–control and family-based European-derived samples identified a SLE risk haplotype marked by a series of tagging SNPs in the upstream region of TNFSF4, which correlates with increased expression of OX40L.96 Increased OX40L levels are thought to predispose to SLE either by augmenting the interaction between T cells and antigen-presenting cells, or by influencing the functional consequences of T-cell activation via the OX40L receptor.96 Associations between some TNFSF4-tagging SNPs and an increased risk for SLE have been confirmed in GWAS in Chinese populations and in a European replication study;8,9 these results were replicated in four independent SLE datasets from Germany, Italy, Spain and Argentina.97 However, further studies are needed to localize causal variants and to understand how these polymorphisms affect the pathogenesis of SLE.
IL10
IL10 encodes IL-10, an important regulatory cytokine with both immunosuppressive and immunostimulatory properties (Figure 1c). Increased IL-10 production by peripheral blood B cells and monocytes from patients with SLE is known to correlate with disease activity,98 demon strating that IL-10 has an important role in the pathogenesis of SLE. A study of the molecular mechanisms underlying this increase in IL-10 production led to the identification of IL10 haplotypes (defined by three SNPs in the IL10 promoter region) that associate with the levels of IL-10 that are secreted.99 Associations between these IL10 SNPs and SLE susceptibility have been reported in European, Hispanic American and Asian populations.100102 A large-scale replication study in populations from the USA and Sweden has confirmed IL10 as a SLE susceptibility locus.8
Regulators of type I IFN and NFκB
Activated type I IFN and NFκB signaling pathways in patients with SLE indicate their importance in the pathogenesis of this disease.103,104 GWAS have identified multiple novel genes that impact on these pathways associated with SLE, in addition to IRF5 and STAT4 (both of which are established SLE-associated genes).
TNFAIP3 and TNIP1
TNF-α-induced-protein 3 (encoded by TNFAIP3) and its interacting protein, TNFAIP3-interacting protein 1 (encoded by TNIP1), are both key regulators of the NFκB signaling pathway (Figure 1b), and modulate cell activation, cytokine signaling and apoptosis.105 The association between SLE and SNPs spanning TNFAIP3 was identified through a GWAS of European-derived populations,7 and subsequently confirmed by GWAS in Asian populations.8,9 The strongest association with SLE was observed at rs5029939.7 Another SLE-associated SNP (rs2230926; located in the third exon of TNFAIP3) identified in Europeans has also been found in Japanese populations.106 TNIP1 was identified as a novel SLE susceptibility locus in a Chinese GWAS of SLE9 and this finding has been replicated in a European-derived population.7 These findings highlight the importance of the regulation of NF-κB signaling pathways in the pathogenesis of SLE.
PHRF1
Two GWAS in European populations reported a SLE-associated SNP (rs4963128) in PHRF1 (also known as KIAA1542), a gene that encodes an elongation factor. The genetic association with SLE might be attributable to its close proximity with IRF7, a gene involved in type I IFN signaling (Figure 1b).4 In addition, one study indicated an association of the IRF7–PHRF1 risk allele and SLE-associated autoantibodies with elevated IFN-α activity in serum samples from patients with SLE, implicating IRF7 rather than PHRF1 in the pathogenesis of SLE.107
Regulators of lymphocytes
GWAS have identified SLE-associated signals associated with a number of novel genes that regulate the differentiation, activation or function of various lymphocytes, including T cells, B cells and dendritic cells.
BLK, BANK1 and LYN
BLK encodes tyrosine-protein kinase Blk, a member of the Src family of kinases, which mediates intra-cellular signaling and influences the proliferation, differentiation and tolerance of B cells (Figure 1c).108 A GWAS in European-derived populations identified a SNP (rs13277113; located within the intergenic region between FAM167A and BLK), of which allele A is associated with reduced expression of BLK but increased expression of FAM167A in patients with SLE.4 Another BLK SNP, located 43 kb downstream of rs13277113, is also associated with SLE;5 both SNPs have subsequently been confirmed as SLE-associated in Chinese10,109 and Japanese110 populations.
B-cell scaffold protein with ankyrin repeats (encoded by BANK1), a B-cell adaptor protein, regulates direct coupling between the Src family of tyrosine kinases and the calcium channel IP3R, and facilitates the release of intracellular calcium, altering the B-cell activation threshold.111 Tyrosine-protein kinase Lyn (encoded by LYN) mediates B-cell activation by phosphorylating the immunoreceptor tyrosine-based activation motif of the B-cell-receptor-associated Igα/β signaling molecules, or mediates B-cell inhibition by phosphorylating inhibitory receptors such as CD22 (Figure 1c). GWAS in European-derived populations have identified associations of BANK1 and LYN with susceptibility to SLE.5,6 Three functional variants of BANK1 with either a nonsynonymous SNP (rs10516487; Arg61His), a branch point-site SNP (rs17266594; located in an intron) or a SNP in the ankyrin domain (rs3733197; Ala383Thr) might contribute to the sustained activation of B-cell receptors and the subsequent B-cell hyperactivity that is commonly observed in SLE.6 With the exception of the rs10516487 SNP of BANK1, which showed a weak association with SLE in an Asian GWAS, the remaining SNPs of BANK1 and LYN have not been confirmed in either Chinese or Asian GWAS, partly owing to the low frequencies of the SNPs in these populations.9,10
ETS1 and PRDM1
ETS1 encodes ETS1 protein, a member of the ETS family of transcription factors, which negatively regulates the differentiation of B cells and type 17 T-helper cells. ETS1 protein regulates these cells by inhibiting the function of PR domain zinc finger protein 1 (encoded by PRDM1, also known as BLIMP1), an important transcription factor in plasma cells (Figure 1c).112,113 PRDM1 has been identified as a risk locus for SLE by GWAS in both European and Asian populations.8,9 A GWAS in a Chinese Han population identified ETS1 as a novel SLE susceptibility locus,9 an association that was confirmed in a separate GWAS conducted in an Asian population.10 Allele A of the ETS1 variant (rs1128334; located in the 3′ UTR), which is associated with decreased ETS1 expression levels in peripheral blood mononuclear cells from normal healthy controls, confers an increase in the risk of developing SLE.10 An important role for ETS1 in the pathogenesis of SLE was demonstrated using Ets1-deficient mice that developed a lupus-like disease characterized by high titers of autoantibodies and local activation of complement.114
IKZF1
DNA-binding protein Ikaros (encoded by IKZF1) is a lymphoid-restricted zinc finger transcription factor that regulates lymphocyte differentiation and proliferation, as well as self-tolerance through regulation of B-cell-receptor signaling (Figure 1c).115 Data derived from both GWAS and large replication studies identified IKZF1 as a novel SLE susceptibility locus in a Chinese population,9 and as a strong candidate locus in European-derived populations.8
Genes involved in immune complex clearance
Identification of SLE-associated genetic variants at loci related to IC clearance highlights the importance of this process in SLE pathogenesis. ITGAM encodes integrin alpha-M (also known as CD11b or complement receptor 3), the α-chain of the aMβ2 integrin. This integrin adhesion molecule binds the complement cleavage fragment of C3b, and also a myriad of other ligands that are potentially relevant to SLE (Figure 1a).116 Associations between SLE susceptibility and ITGAM or the ITGAM-ITGAX region were found independently in two European GWAS.4,5 Consistent with these results, a fine-mapping study showed that a nonsynonymous variant (rs1143679; Arg77His), with an effect on structural and functional changes of integrin aM, contributed to SLE susceptibility.3 In a subsequent meta-analysis, the SNP showed a frequency of 9–11% in Americans of European, Hispanic or African descent, as well as in Mexican and Colombian populations, and displayed a robust association with SLE in these populations.117 The low frequency of this risk allele in Asian populations might contribute to the lack of its association with SLE in Korean and Japanese populations;117 indeed, this hypothesis has been confirmed in large populations of Hong Kong Chinese and Thai individuals.118
Other genes associated with SLE
GWAS have identified many novel loci involved in the pathogenesis of SLE, although some loci have not yet been fully characterized or have no obvious connection to known SLE pathways. Studies in European populations showed SLE-associated markers in the genomic regions containing PXK, XKR6, JAZF1 and UHRF1BP1.5,8 GWAS in Asian populations identified different susceptibility loci including RASGRP3 and WDFY4.9,10 Interestingly, several novel loci such as SLC15A4 and UBE2L3 reach genome-wide significance for association with SLE in Asian, but not European, populations. Whether or not these findings reflect ethnic variations requires further study. The mechanisms by which these genes increase the risk for SLE are unknown, although some (such as UBE2L3 and RASGRP3) might regulate immune responses.
In this Review, important advances in the identification of genetic variations that predispose to SLE are summarized. In addition to common gene variants explored in GWAS, rare risk variants (such as TREX1 and C1Q) and CNVs (such as for C4 and FCGR3B) are thought to contribute to SLE. Future advances in deep-sequencing technology and bioinformatics will identify more rare variants and define further CNVs. Results from these studies provide information on the unique and overlapping genetic variants in SLE and in related autoimmune diseases, which reveals underlying disease-specific and common pathways. We expect that these genetic insights will help to provide personalized treatment for patients with SLE in the near future (Box 1). For example, an IFN-α antagonist might be a useful therapeutic agent for patients harboring a cluster of susceptibility variants involved in the IFN pathway. Patients carrying the SLE susceptibility variants of ITGAM and STAT4 frequently have lupus nephritis and a severe disease course, which suggests that genetic risk variants might also help to predict disease severity. Overall, the findings discussed in this Review improve our understanding of disease pathogenesis and highlight new molecular pathways that lead to disease manifestations.
Box 1. Future directions of GWAS
  • GWAS have identified genetic risk loci for complex human diseases and marked the start of a new era of genetic research
  • Despite these discoveries, newly identified loci from GWAS only account for a minor proportion of the overall genetic component of disease risk, which brings new challenges to this area of research
  • Published GWAS that use the commercial genotyping arrays mainly target common single nucleotide polymorphisms, which can result in other types of polymorphisms, such as structural variants in copy numbers or repeat elements, being overlooked
  • Advances in deep-sequencing technologies will help to complete a more comprehensive list of genetic risk factors for complex disease in the near future
  • Genetic findings from GWAS will be placed into a functional context and will help to uncover the underlying mechanisms of disease susceptibility
  • The translation of genetic knowledge into clinical management to improve personalized treatment options is important
Abbreviation: GWAS, genome-wide association studies
Key points
  • Innovations in genotyping technology such as candidate gene studies and genome-wide association studies (GWAS) have advanced our understanding of the genetic basis of systemic lupus erythematosus (SLE)
  • GWAS and candidate gene studies using both European and Asian populations identified and confirmed more than 30 robust SLE susceptibility loci
  • Genetic associations identified in various ethnic groups not only highlight major SLE susceptibility genes that are common to multiple ethnic populations, but also indicate those loci with population-specific effects
  • Most SLE-associated gene products participate in key pathways involved in the disease pathogenesis and genetic risk factors that are shared between autoimmune diseases can help to identify common disease pathways
  • Novel SLE risk loci can reveal new paradigms for the pathogenesis of the disease, and might provide new therapeutic targets for disease management
Review criteria
This Review is based on peer-reviewed, full-text articles published in English-language journals between 1986 and 2010. The MEDLINE database was searched using combinations of the following keywords: “systemic lupus erythematosus”, “genetics”, “GWAS”, “polymorphism”, “risk factors”, “genetic variation” and “susceptibility”. Further papers were identified by searching the reference lists of the selected articles.
Supplementary Material
Supplementary Data
Footnotes
Author contributions
Both authors contributed equally to researching data for the article, providing a substantial contribution to discussions of the content, writing the article and to review and/or editing of the manuscript before submission.
Supplementary information
Supplementary information is linked to the online version of the paper at www.nature.com/nrrheum
Competing interests
The authors declare no competing interests.
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