Open Access

Current status of lupus genetics

Arthritis Research & Therapy20079:210

https://doi.org/10.1186/ar2176

Published: 14 May 2007

Abstract

Over the past 40 years more than 100 genetic risk factors have been defined in systemic lupus erythematosus through a combination of case studies, linkage analyses of multiplex families, and case-control analyses of single genes. Multiple investigators have examined patient cohorts gathered from around the world, and although we doubt that all of the reported associations will be replicated, we have probably already discovered many of the genes that are important in lupus pathogenesis, including those encoding human leukocyte antigen-DR, Fcγ receptor 3A, protein tyrosine phosphatase nonreceptor 22, cytotoxic T lymphocyte associated antigen 4, and mannose-binding lectin. In this review we will present what is known, what is disputed, and what remains to be discovered in the world of lupus genetics.

Introduction

Systemic lupus erythematosus (SLE) has long been appreciated to arise from both genetic and environmental factors. Although environmental factors, such as the Epstein-Barr virus, are clearly important [1], this review focuses on genetic factors that are involved in SLE. Evidence for the genetic origins of the disease come from the observation of familial aggregation [2] (up to 10% of patients with SLE have another family member with the disease) and increased concordance in monozygotic twins [3]. The patterns of inheritance are complex, however, and it is generally thought that variations in a number of genes are involved, each contributing a small amount to the overall genetic risk [4]. Two major strategies have been used to search for the 'lupus genes': genome-wide screening, using multiplex families and linkage analysis; and candidate gene studies, usually performed on trios or case-control collections. With either strategy, a high threshold is necessary to establish genetic risk, and follow-up testing of an independent cohort is required to confirm the results.

Genome-wide linkage studies for systemic lupus erythematosus

The genetic basis of SLE is well established, but the genetic transmission of SLE has proven to be highly complex. Consequently, gene identification has been accomplished for only a handful of genes. Genome-wide linkage scanning is a comprehensive and unbiased approach to identifying chromosomal loci that may be linked to complex diseases [5]. Testing for genome-wide linkage is fundamentally a statistical process that evaluates for co-inheritance of genetic markers (such as DNA polymorphisms) with the disease phenotype in families with multiple affected members. Consistent co-inheritance of the marker with the disease in families means that they are 'linked' and indicates that the actual disease gene is in close proximity. As with other complex diseases, genome scans for SLE susceptibility genes suffer from low power to detect true-positive linkages. Causes of this include relatively small study populations in some studies and common causative alleles with low penetrance.

Several different study designs have been used for genome-wide scanning to identify novel susceptibility loci for SLE. Some of the study designs involve sibling pairs, for whom parents may or may not be available. Others use extended pedigrees with several generations available for study. Several genome scans have been carried out by four major scientific groups (located in California, Oklahoma, Minnesota, and Sweden), and these have identified many loci spread across the genome. To date, nine independently identified linkages have been established and replicated in an independent sample (Table 1). Because each of these linkages has passed the recommended threshold for establishing significant evidence of linkage, a susceptibility gene or genes is likely to be found eventually within these linkage regions, although most remain to be identified.
Table 1

Confirmed linkage effects in systemic lupus erythematosus

Linkage region

LOD score

Study center

Study design

Associated gene(s)

Mouse ortholog

Cohort ethnicity

Ref(s)

1q23

4.0

OMRF

Extended pedigrees

FCGR2A, FCGR3A

sle1, nba2 [54]

EA, AA

[6,7]

1q31-32

3.8

UU

Extended pedigrees

 

sle1c [84]

EU

[6,85]

1q41-43

3.3

UCLA

USC

Extended pedigrees

PARP*

 

EA, HIS

[7,86]

2q37

4.2

UU

Extended pedigrees

PDCD-1

 

EU

[13,87]

4p16

3.8

OMRF

Extended pedigrees

 

sle6 [88]

EA

[89,90]

6p11-21

4.2

UMN

Sib-pairs

HLA-DR

sles1 [88,91]

EA, HIS, AA

[16]

10q22-23

P = 0.0002

OMRF

UCLA

Extended pedigrees, sib-pairs

  

AA

[92-94]

12q24

3.3

OMRF

Extended pedigrees

  

HIS, EA

[95]

16q12-13

3.4

UMN

OMRF

Sib-pairs, extended pedigrees

  

EA, AA, HIS

[96,97]

*Although there was initial evidence that PARP was the gene responsible for this linkage [17], subsequent studies have failed to confirm an association [18-21]. The initial linkage at 10q22 was described using allele sharing statistics; therefore, a P value is generated instead of a log of odds (LOD) score. AA, African-Americanl EA, European-American; EU, European; HIS, Hispanic; OMRF, Oklahoma Medical Research Foundation; UCLA, University of California at Los Angeles; USC, University of Southern California; UU, Uppsala University (Sweden).

Genes found through linkage studies

The search for genes in the 1q23 linkage interval [6, 7] has led to intensive study of the immunoglobulin receptors encoded there. There are three distinct but closely related classes of Fcγ receptors (FCGRs) in humans: FCGR1 (CD64), FCGR2A (CD32), and FCGR3A (CD16). They have different affinities for IgG and its subclasses, and those encoded on 1q23 include FCGR2A, FCGR2B, FCGR3A, and FCGR3B. The arginine variant at amino acid position 131 of FCGR2A (or R131) is associated with SLE, particularly in African-Americans [8], whereas FCGR3A-F176 is associated with SLE in European derived peoples and other ethnic groups [7]. A gene dose effect with FCGR2A-R131 for the risk for SLE was also identified in a meta-analysis [9], with the risk for SLE increasing with the number of R alleles (RR > RH > HH). The data that FCGR3A-F176 is a risk factor for lupus nephritis are also convincing [10]. Because both of these mutations produce receptors with lowered affinity for IgG [11], it is thought that these variants may predispose to autoimmunity through delayed clearance of immune complexes, but this remains an unproven hypothesis. Although one of these two variants is probably responsible for the linkage in this region, there are conflicting data on which is the most important, and this remains an area of active interest [7, 9, 10, 12].

PDCD1 (programmed cell death 1) is generally accepted as the gene responsible for the linkage at 2q34 [13], and it is also associated with lupus nephritis [14]. To date, this is the only gene to have been identified through fine mapping of a linkage interval, although this association does not go unchallenged in other populations tested [15]. The presumed mechanism of action is through an intronic single nucleotide polymorphism (SNP) that alters a binding site for the RUNX1 transcription factor, leading to decreased expression of the PDCD1-encoded protein and delayed apoptosis [13]. Auto-reactive T cells that fail to undergo apoptosis properly may persist to support autoimmune responses.

The genes responsible for linkage at the other loci are not so straightforward. Although it is generally accepted that human leukocyte antigen (HLA)-DR is associated with SLE [16], there are a number of other genes in the HLA region that may also contribute to this linkage, as discussed below. PARP (poly-[ADP-ribose] polymerase) was initially identified as the gene responsible for linkage at 1q41 [17], but two subsequent studies in European-American [18] and French Caucasian [19] cohorts failed to confirm this association. Two additional studies conducted in Asian populations also failed to find an association with disease, although both found correlation of PARP alleles with clinical manifestations (discoid rash and anticardiolipin IgM [20], and nephritis and arthritis [21]).

Linkage analysis through pedigree stratification

Clinical manifestations of SLE are extremely diverse and variable, both in individual patients and over time. We hypothesize that genetic factors contribute to this clinical diversity and that there will be subsets of genes that are over-represented in families with particular clinical manifestations. We therefore used stratification of multiplex pedigrees by phenotype to improve the genetic homogeneity of our cohorts and discover new loci linked to SLE. For example, by analyzing only the families in which one or more members have vitiligo, we identified linkage at 17p12 [22] and six additional linked loci were discovered through stratification by other clinical and laboratory criteria. All of these have been established and confirmed in an independent cohort (Table 2).
Table 2

Linkage effects found in OMRF pedigrees using stratification

Linkage region

LOD

Cohort ethnicity

Stratification criteria

Ref(s)

2q34*

P = 0.00002

AA

Nephritis

[93,94]

5p15

6.2

EA, AA, HIS

Alleged rheumatoid arthritis

[98,99]

5q14

5.0

EA

Autoimmune thyroid disease

[100]

11p13

3.7

AA

Discoid lupus, thrombocytopenia

[101,102]

11q14

4.7

AA

Hemolytic anemia, nucleolar ANA

[102-104]

17p12

4.0

EA

Vitiligo

[22,105]

19p13.2

3.6

EA

Anti-dsDNA

[87,106]

*This region is orthologous to that containing the mouse lupus susceptibility locus sle7 [107]. The 2q34 region was analyzed using sib-pair methods; therefore, a P value is generated instead of a log of odds (LOD) score. AA, African-American; ANA, anti-nuclear antibody; EA, European-American; HIS, Hispanic; OMRF, Oklahoma Medical Research Foundation.

Genome scan meta-analysis

Although several susceptibility loci for SLE have been identified by individual genome-wide scans, many of these loci have yielded inconsistent results across studies. Additionally, many individual studies are at the lower limit of acceptable power recommended for declaring significant linkage. The genome search meta-analysis has been proposed as a valid and robust method for combining several genome scan results [23]. Recently, the results of two genome search meta-analyses were reported [24, 25]. These studies identified many linked regions that may harbor the SLE susceptibility genes. The most interesting results emerging from these studies are significant linkages in the intervals of 6p21-6p22 and 16p12-16q13.

Overview of candidate gene studies

The candidate gene approach is the technique most frequently used to explore SLE genetics. It is simple and straightforward, namely recruit lupus patients and matched controls, assay them for variations in a gene of interest, and determine whether allele frequencies differ between the two groups. Because of the relative ease of the approach, there are literally hundreds of association studies in SLE (for review, see [26]). If they were all the same, then comparing them and correlating the results would be a simple matter, but science is, of course, performed by individuals, each with their own ideas. This has lead to variations in nearly every aspect of methodology, from the way in which patients were recruited and matched to the number of SNPs assayed in each gene. The ethnic groups studied are as varied as the international sites at which this work was accomplished, and of course everyone has different ideas about what genes are 'of interest'.

Currently, 115 different genetic loci have been reported to be in association with SLE, but there are conflicting reports that claim no association for 56 of these. Of course, many of these 'conflicting' reports were conducted in patients from different ethnic groups, and so both reports may be correct and merely indicate ethnic specificity for a gene. There are also 71 genes for which only a single study has been published to date. Within these 39 positive and 32 negative analyses, there exist both strong associations in large cohorts (which are generally more reliable) and weak associations in small, isolated populations. It therefore remains to be seen which of these unconfirmed associations will prove to be consistent in future studies. Sample size, ethnicity, and number of SNPs studied should be considered when reading a single report on the role of any given gene in SLE, and one must keep in mind that the literature in this area is vast and multiple studies often exist. It is currently believed that on the order of 20 to 40 genes have variants that play a role in SLE risk. Therefore, although the majority of the genetic risk factors for SLE may be on this list of 115, we do not yet know which ones are really important. Nevertheless, out of this body of work in progress, several strong associations rise to the top. These include components of the C3b activation pathway, the FCGRs, HLA region genes, and a number of genes that have been implicated in immune regulation, as listed in Table 3.
Table 3

Genes associated with systemic lupus erythematosus

Gene name

Locus ID

Location

Evidence

C1Q

712

1p36

Causative mutations found [27,35]

C2

717

6p21

Causative mutations found [28,29]

C4

721

6p21

Causative mutations found [33,35]

PTPN22

26,191

1p13

Meta-analysis [47]

FCGR2A

2,212

1q23

Meta-analysis [9,12]

FCGR3A

2,214

1q23

Meta-analysis [10,12]

IL10

3,586

1q32

Meta-analysis [43]

CTLA4

1,493

2q33

Meta-analysis [45]

HLA-DRB1

3,123

6p21

Multiple positive reports [4,26,37]

TNFα

7,124

6p21

Meta-analysis [46]

TNFβ

4,049

6p21

Multiple positive reports [26]

MBL

4,153

10q11

Meta-analysis [44]

Specific genes associated with systemic lupus erythematosus

Complement deficiencies

There are a few instances in which mutation of a single gene causes lupus or a lupus-like syndrome. The most common of these is a deficiency of complement component C2 [27], which occurs in 1/10,000 individuals [28], and nearly one-third of these patients will develop SLE [29]. Although the gene encoding C2 is in the same region as the major histocompatibility complex (MHC), two studies [30, 31] have concluded that MHC genes are not responsible for the phenotype in C2-deficient patients. The mild phenotype and female predominance in C2-deficient SLE patients may be due to other genetic influences that remain to be determined.

Most individuals carry four copies of the C4 gene cassette, which lies within the MHC cluster, but copy numbers can vary between 0 and 6 [32]. Minor variations within the cassette provide the designations C4A and C4B, and the majority of individuals carry two copies of each, although there is considerable variation in the population. Complete deficiency of all copies of the C4 cassette has been shown to cause severe SLE as well as susceptibility to infection, but this condition is quite rare [33]. A partial deficiency, usually with deletion of a single C4A allele (also known as C4A*Q0 or C4 null), has been associated with disease risk; however, C4A*Q0 is in linkage disequilibrium with DR3 [34], an MHC haplotype that is strongly associated with autoantibody production and SLE in its own right [4]. Rare deficiencies in C1q, C1r, and C1s also appear to cause SLE [27].

It would appear to be no coincidence that C2, C4, and C1 are all components of the classical pathway, through which immune complexes activate complement. Genetic defects in C3 or in any of the terminal complement components (C5 to C9) generally result in increased sensitivity to infection, particularly from Gram-negative bacteria such as Neisseria meningitidis [27]. The early complement components are important for keeping immune complexes in soluble form, as well as for clearance of apoptotic bodies [35]. Additionally, C4 is critical for maintenance of B-cell tolerance [36], which may prove to be even more important than delayed immune complex clearance in the pathogenesis of SLE in these patients.

Human leukocyte antigen region

After considering these single genes, perhaps the next clearest genetic effect in SLE is in the HLA region. Although multiple studies conducted during the past 40 years have shown clear HLA associations [4, 26, 37], it is currently uncertain which gene or genes may be responsible for increasing genetic risk. This region contains not only the HLA class I, II and III genes, but also the genes that encode complement components C2 and C4, tumor necrosis factor (TNF)-α and TNF-β (also known as lymphotoxin-α LTA), transporter associated with antigen processing (TAP)1 and TAP2, butyrophilin-like protein 2, and numerous heat-shock protein genes and others with possible immune significance. Furthermore, these genes are often inherited as a block, a phenomenon known as linkage disequilibrium, so that – for example – the TNF-α -308A variant associated with over-expression is often found in a haplotype block that also contains HLA-B8, C4A null, and HLA-DR3 [38]. It is unfortunate that most of the studies in this region focus on a single marker, most often either HLA-DR or TNF-α, either of which could be responsible for this extended haplotype. To add additional confusion to the issue of pathogenicity, more than one HLA allele has been found to associate with disease, for example DR3 and DR2, and these associations are not necessarily confined to a single ethnic group [37].

It is reasonable to think that any of these variants could contribute to the lupus phenotype. As discussed above, complete deficit of C2 or C4 appears to cause SLE, and more subtle alterations in the classical pathway may also cause some tendency toward autoimmunity. The HLA proteins are directly involved in antigen presentation, and in some cases, such as in HLA-B27 arthritis, this has been shown to lead to alteration in the immune repertoire [39]. TNF-α is central to regulation of many inflammatory pathways, and treatment with TNF-α inhibitors can cause lupus flares or lupus-like symptoms, possibly through upregulation of IFN-α [40], indicating a complex role for this cytokine in SLE. TNF-β is key to the formation of normal lymph nodes [41], and the gene encoding TNF-β is one of the most consistently associated across populations, with seven positive reports and no negative reports to date [26]. TAP1 and TAP2 are involved in peptide processing for antigen presentation, and transgenic mice that lack TAP are resistant to experimentally induced SLE [42]. It is possible that any one of these defects alone could predispose to SLE, but it is also possible that it takes some combination of 'hits' to produce an extended haplotype that correlates more directly with disease risk.

Meta-analysis of candidate genes in systemic lupus erythematosus

When there are several studies on the same allele in a gene, meta-analysis can be a useful tool for sorting out any conflicting reports, but usually there are not enough studies performed to make this practical. For some of the more extensively studied genes, however, it represents a powerful tool. For example, the majority of the reports on the gene encoding interleukin-10 support association, as does a recent meta-analysis [43], although there is a body of literature that supports only associations with specific phenotypes as well as half a dozen negative reports. Meta-analysis also favors association with the mannose-binding lectin (MBL) gene, although the individual reports are evenly divided in favor and in opposition [44]. The situation is similar with cytotoxic T lymphocyte associated antigen (CTLA)4, in which association is also favored even though the literature is mixed, with the strongest effects seen in Asian populations [45]. TNF-α also has mixed reports but a positive meta-analysis, particularly in European-Americans [46]; interpretation of this finding is problematic, however, because TNF-α is in linkage disequilibrium with HLA-DR [38]. The cumulative data support an association of the protein tyrosine phos-phatase nonreceptor (PTPN)22 gene with SLE as well [47]. Meta-analyses are not always positive, however; meta-analysis of the data on the widely studied insertion/deletion polymorphism in the angiotensin-converting enzyme gene does not favor association with SLE or lupus nephritis [48].

Single gene defects reflected in mouse models of lupus

A number of murine models of lupus have been characterized, and they include both transgenic constructs and strains with naturally occurring disease (for review, see [4956]). Some of these animal models have led us to discover single gene deficiencies that are found rarely in human disease, as well as a number of candidate genes for association. MRL/lpr mice, a murine model of lupus, are deficient in Fas [57], and deficiencies of Fas in humans cause autoimmune lymphoproliferative syndrome [58]. DNAse1-deficient mice also serve as a model of lupus [59], and there are reports of DNAse1 deficiency leading to SLE in human families [60, 61]. Although these examples suggest a general effect, the literature contains roughly equal numbers of reports for and against the association of Fas, Fas ligand, and DNAse1 with SLE in larger case-control studies [26]. It is therefore difficult to draw any firm conclusions about the role of these genes in SLE pathogenesis in the general population. Other interesting mouse knockout models that develop autoimmune phenotypes include those for C1Q [62], Fcγ [63], and Toll-like receptor-7 [64]. Mapping of the genes responsible for disease in spontaneous models of lupus in mice is another area of active interest, and the overlap between the search for autoimmune genes in human and mouse is due to expand and integrate rapidly as new technologies are brought to bear on this area [51].

Interferon-related candidate genes

Genes in the IFN family have also been implicated in SLE. The well known IFN signature [65] has provided the inspiration for a number of candidate gene studies. Initial associations with IFN-γ [66] and the IFN receptors [67] have not been confirmed in additional cohorts [6870]. Most recently, however, a study conducted in a large Nordic cohort [71] demonstrated an association with the IFN-regulatory factor (IRF)5 gene; and this has sparked a flurry of strong confirmation and characterization reports [7274]. These four studies all confirm the association of IRF5 with SLE, which appears to be quite robust, although the genetics in this region are complex and several variations appear to combine to form the risk haplotypes [74]. Additional work characterizing the IRF5 alleles associated with SLE is in progress.

Epigenetic work

Epigenetics refers to the inherited chromatin changes that alter gene expression without affecting DNA sequence. Although there is a clear evidence that genetic factors contribute to the pathogenesis of lupus, as detailed above, epigenetic abnormalities have also been implicated in this disease. Over the past 20 years, a series of reports documented a role for abnormal DNA methylation in the pathogenesis of both drug-induced and idiopathic lupus [75]. DNA methylation is an epigenetic mechanism, which refers to adding a methyl group, donated by S-adenosylmethionine, to the fifth carbon on cytosine residues within CpG dinucleotide pairs. CpG pairs located within CpG islands are present in promoter sequences of about 40% to 50% of mammalian genes [75]. In general, methylated CpG pairs suppress gene expression whereas hypomethylated CpG pairs are associated with transcriptional activity [76].

DNA methylation serves several functions, such as suppressing unnecessary genes during tissue differentiation, inhibiting the expression of parasitic DNA, genomic imprinting, and female X chromosome inactivation. De novo DNA methylation takes place early on in fetal life and during differentiation, and is mediated by DNA methyltransferase (DNMT)3a and DNMT3b enzymes, which are capable of methylating previously unmethylated DNA. The pattern of DNA methylation is then maintained during cell division by the enzyme DNMT1 [77].

Global hypomethylation in T cell DNA has been described in lupus [78]. Indeed, this was subsequently found to result from reduced expression of DNMT1 in lupus T cells [79]. Lupus-inducing drugs such as procainamide and hydralazine result in T cell hypomethylation in vitro [80], similar to T cells from active lupus patients. Although procainamide is a competitive inhibitor of DNMT1, hydralazine reduces DNMT1 expression by inhibiting signaling through the extracellular signal-regulated kinase (ERK) signaling pathway, which, at least in part, regulates DNMT1 expression in T cells [81]. T cells treated with DNA methylation inhibitors or ERK pathway signaling inhibitors become autoreactive in vitro and cause autoimmunity, manifested as lupus-like disease, when injected into syngeneic mice [75]. For example, D10 mouse T cells treated with 5-azacytidine and adoptively transferred into syngeneic female AKR mice resulted in anti-dsDNA antibodies, anti-histone antibodies, immune complex glomerulonephritis, alveolitis, and meningitis [82]. Hypomethylation in lupus T cells is thought to contribute to the increased expression of several methylation sensitive genes, including ITGAL (CD11a), PRF1 (perforin), and TNFSF7 (CD70) [83]. The expression of these genes is increased in lupus T cells, T cells treated with the DNA methylation inhibitor 5-azacytidine, as well as T cells treated with the lupus inducing drugs procainamide and hydralazine [75]. Promoter sequence hypomethylation of these genes has been demonstrated in T cells from lupus, and the pattern of hypomethylation is similar to that observed in T cells from normal donors that are treated with DNA methylation inhibitors in vitro [75].

Conclusion

Many of the important genetic risk factors for SLE have been discovered through linkage and association studies, and the body of work in this area is impressive. Nine linkage regions have been established and confirmed for SLE, and an additional seven linkage regions have been established and confirmed using stratification by clinical and laboratory criteria. Two high-throughput platforms for SNP typing have been developed in recent years: AffyMetrix GeneChip® Mapping Arrays (AffyMetrix, Inc., Santa Clara, CA, USA), which type up to 500,000 SNPs at a time; and the Illumina HumanHap300-Duo bead chip system (Illumina, Inc., San Diego, CA, USA), which covers 318,000 markers largely derived from the Phase I HapMap set. Both companies plan the release of improved technology within the year, with AffyMetrix releasing a new gene chip system covering over a million SNPs and Illumina releasing a new bead chip with expanded coverage of Phase II HapMap SNPs and improved MHC coverage. The first major whole-genome scan using high-throughput SNP technology is now in progress, and we expect it to confirm many of the known effects as well as allow discovery of new gene associations. The major effects confirmed through more traditional single gene studies include complement components C2, C4, and C1q, the HLA region, the FCGR2A and FCGR3A, PDCD1, CTLA4, interleukin-10, MBL, and PTPN22. There are nearly 100 other genes that have been reported to be associated with SLE, the majority of which are either disputed or unconfirmed at this time. Much additional work remains to be done in this area. The ways in which these genes might interact also remains to be explored, and combinations of susceptibility factors may prove to be powerfully predictive. Epigenetic factors such as DNA hypomethylation are also likely to play a role in lupus pathogenesis.

The future of lupus genetics is exciting and complicated. As the major research projects currently underway come to fruition, we will see the largest cohort to date undergo a high-density association genome scan. These data will be correlated with both clinical information and with gene expression data. Although data analysis will be complicated and ripe with false-positive effects, the end result should be the clearest picture of the cascade from risk allele to immune pathology that we have been able to generate to date. These models will not be nearly as biased by prior information, because both the allele association and gene expression data will be gathered globally, without focusing on what 'should be' downstream of each effect. With such a large dataset to explore, gene interaction effects should become clearer and unanticipated relationships will probably emerge. Candidate gene discovery from murine lupus models is also reaching a threshold, and the cross-talk between human and murine studies will continue to fuel productive research. As new data are gathered and analyzed, we should be able to sort through the false-positive effects more easily and understand the interactions of the true-positive effects. This will enable us to build a more cohesive picture of the genetic risk factors that are involved in the development of SLE and give direction for new and innovative therapeutic options.

Abbreviations

CTLA: 

= cytotoxic T lymphocyte associated antigen

DNMT: 

= DNA methyltransferase

ERK: 

= extracellular signal-regulated kinase

FCGR: 

= Fcγ receptor

HLA: 

= human leukocyte antigen

IFN: 

= interferon

IRF: 

= interferon-regulatory factor

MBL: 

= mannose-binding lectin

MHC: 

= major histocompatibility complex

PTPN: 

= protein tyrosine phosphatase nonreceptor

SLE: 

= systemic lupus erythematosus

SNP: 

= single nucleotide polymorphism

TAP: 

= transporter associated with antigen processing

TNF: 

= tumor necrosis factor.

Declarations

Acknowledgements

Supported by the US Department of Veterans Affairs, the National Institutes of Health (AI24717, AI31584, AI53747, AI54117, AI 63622, AR12253, AR42460, AR048928, AR48940, AR049084, AR49272, DE15223, RR14467, RR15577, RR20143), the Mary Kirkland Scholar Fund, the Alliance for Lupus Research, funding from the University of Oklahoma College of Medicine, and an unrestricted educational grant from Abbott Immunology.

Authors’ Affiliations

(1)
Oklahoma Medical Research Foundation, Arthritis and Immunology Research Program
(2)
Oklahoma Medical Research Foundation, Genetic Epidemiology Unit, Arthritis and Immunology Research Program
(3)
US Department of Veterans Affairs Medical Center, Department of Medicine, University of Oklahoma Health Sciences Center
(4)
Department of Internal Medicine, University of Oklahoma Health Sciences Center

References

  1. James JA, Harley JB, Scofield RH: Epstein-Barr virus and systemic lupus erythematosus. Curr Opin Rheumatol. 2006, 18: 462-467. 10.1097/01.bor.0000240355.37927.94.PubMedGoogle Scholar
  2. Sestak AL, Shaver TS, Moser KL, Neas BR, Harley JB: Familial aggregation of lupus and autoimmunity in an unusual multiplex pedigree. J Rheumatol. 1999, 26: 1495-1499.PubMedGoogle Scholar
  3. Reichlin M, Harley JB, Lockshin MD: Serologic studies of monozygotic twins with systemic lupus erythematosus. Arthritis Rheum. 1992, 35: 457-464. 10.1002/art.1780350416.PubMedGoogle Scholar
  4. Kelly JA, Moser KL, Harley JB: The genetics of systemic lupus erythematosus: putting the pieces together. Genes Immun. 2002, 3 (Suppl 1): S71-S85. 10.1038/sj.gene.6363885.PubMedGoogle Scholar
  5. Risch N: Genetic linkage and complex diseases, with special reference to psychiatric disorders. Genet Epidemiol. 1990, 7: 3-16. 10.1002/gepi.1370070103.PubMedGoogle Scholar
  6. Moser KL, Neas BR, Salmon JE, Yu H, Gray-McGuire C, Asundi N, Bruner GR, Fox J, Kelly J, Henshall S, et al: Genome scan of human systemic lupus erythematosus: evidence for linkage on chromosome 1q in African-American pedigrees. Proc Natl Acad Sci USA. 1998, 95: 14869-14874. 10.1073/pnas.95.25.14869.PubMed CentralPubMedGoogle Scholar
  7. Edberg JC, Langefeld CD, Wu J, Moser KL, Kaufman KM, Kelly J, Bansal V, Brown WM, Salmon JE, Rich SS, et al: Genetic linkage and association of Fcgamma receptor IIIA (CD16A) on chromosome 1q23 with human systemic lupus erythematosus. Arthritis Rheum. 2002, 46: 2132-2140. 10.1002/art.10438.PubMedGoogle Scholar
  8. Salmon JE, Millard S, Schachter LA, Arnett FC, Ginzler EM, Gourley MF, Ramsey-Goldman R, Peterson MG, Kimberly RP: Fc gamma RIIA alleles are heritable risk factors for lupus nephritis in African Americans. J Clin Invest. 1996, 97: 1348-1354.PubMed CentralPubMedGoogle Scholar
  9. Karassa FB, Trikalinos TA, Ioannidis JP: Role of the Fcgamma receptor IIa polymorphism in susceptibility to systemic lupus erythematosus and lupus nephritis: a meta-analysis. Arthritis Rheum. 2002, 46: 1563-1571. 10.1002/art.10306.PubMedGoogle Scholar
  10. Karassa FB, Trikalinos TA, Ioannidis JP: The Fc gamma RIIIA-F158 allele is a risk factor for the development of lupus nephritis: a meta-analysis. Kidney Int. 2003, 63: 1475-1482. 10.1046/j.1523-1755.2003.00873.x.PubMedGoogle Scholar
  11. Kimberly RP, Salmon JE, Edberg JC: Receptors for immunoglobulin G. Molecular diversity and implications for disease. Arthritis Rheum. 1995, 38: 306-314. 10.1002/art.1780380303.PubMedGoogle Scholar
  12. Karassa FB, Trikalinos TA, Ioannidis JP: The role of Fcgam-maRIIA and IIIA polymorphisms in autoimmune diseases. Biomed Pharmacother. 2004, 58: 286-291. 10.1016/j.biopha.2004.04.004.PubMedGoogle Scholar
  13. Prokunina L, Castillejo-Lopez C, Oberg F, Gunnarsson I, Berg L, Magnusson V, Brookes AJ, Tentler D, Kristjansdottir H, Grondal G, et al: A regulatory polymorphism in PDCD1 is associated with susceptibility to systemic lupus erythematosus in humans. Nat Genet. 2002, 32: 666-669. 10.1038/ng1020.PubMedGoogle Scholar
  14. Johansson M, Arlestig L, Moller B, Rantapaa-Dahlqvist S: Association of a PDCD1 polymorphism with renal manifestations in systemic lupus erythematosus. Arthritis Rheum. 2005, 52: 1665-1669. 10.1002/art.21058.PubMedGoogle Scholar
  15. Lin SC, Yen JH, Tsai JJ, Tsai WC, Ou TT, Liu HW, Chen CJ: Association of a programmed death 1 gene polymorphism with the development of rheumatoid arthritis, but not systemic lupus erythematosus. Arthritis Rheum. 2004, 50: 770-775. 10.1002/art.20040.PubMedGoogle Scholar
  16. Graham RR, Ortmann WA, Langefeld CD, Jawaheer D, Selby SA, Rodine PR, Baechler EC, Rohlf KE, Shark KB, Espe KJ, et al: Visualizing human leukocyte antigen class II risk haplotypes in human systemic lupus erythematosus. Am J Hum Genet. 2002, 71: 543-553. 10.1086/342290.PubMed CentralPubMedGoogle Scholar
  17. Tsao BP, Cantor RM, Grossman JM, Shen N, Teophilov NT, Wallace DJ, Arnett FC, Hartung K, Goldstein R, Kalunian KC, et al: PARP alleles within the linked chromosomal region are associated with systemic lupus erythematosus. J Clin Invest. 1999, 103: 1135-1140.PubMed CentralPubMedGoogle Scholar
  18. Criswell LA, Moser KL, Gaffney PM, Inda S, Ortmann WA, Lin D, Chen JJ, Li H, Gray-McGuire C, Neas BR, et al: PARP alleles and SLE: failure to confirm association with disease susceptibility. J Clin Invest. 2000, 105: 1501-1502.PubMedGoogle Scholar
  19. Delrieu O, Michel M, Frances C, Meyer O, Michel C, Wittke F, Crassard I, Bach JF, Tournier-Lasserve E, Piette JC: Poly(ADP-ribose) polymerase alleles in French Caucasians are associated neither with lupus nor with primary antiphospholipid syndrome. GRAID Research Group. Group for Research on Auto-Immune Disorders. Arthritis Rheum. 1999, 42: 2194-2197. 10.1002/1529-0131(199910)42:10<2194::AID-ANR22>3.0.CO;2-U.PubMedGoogle Scholar
  20. Chen JY, Wang CM, Lu SC, Chou YH, Luo SF: Association of apoptosis-related microsatellite polymorphisms on chromosome 1q in Taiwanese systemic lupus erythematosus patients. Clin Exp Immunol. 2006, 143: 281-287. 10.1111/j.1365-2249.2005.02984.x.PubMed CentralPubMedGoogle Scholar
  21. Hur JW, Sung YK, Shin HD, Park BL, Cheong HS, Bae SC: Poly(ADP-ribose) polymerase (PARP) polymorphisms associated with nephritis and arthritis in systemic lupus erythematosus. Rheumatology (Oxford). 2006, 45: 711-717. 10.1093/rheumatology/kei262.Google Scholar
  22. Nath SK, Kelly JA, Namjou B, Lam T, Bruner GR, Scofield RH, Aston CE, Harley JB: Evidence for a susceptibility gene, SLEV1, on chromosome 17p13 in families with vitiligo-related systemic lupus erythematosus. Am J Hum Genet. 2001, 69: 1401-1406. 10.1086/324470.PubMed CentralPubMedGoogle Scholar
  23. Levinson DF, Levinson MD, Segurado R, Lewis CM: Genome scan meta-analysis of schizophrenia and bipolar disorder, part I: methods and power analysis. Am J Hum Genet. 2003, 73: 17-33. 10.1086/376548.PubMed CentralPubMedGoogle Scholar
  24. Lee YH, Nath SK: Systemic lupus erythematosus susceptibility loci defined by genome scan meta-analysis. Hum Genet. 2005, 118: 434-443. 10.1007/s00439-005-0073-1.PubMedGoogle Scholar
  25. Forabosco P, Gorman JD, Cleveland C, Kelly JA, Fisher SA, Ortmann WA, Johansson C, Johanneson B, Moser KL, Gaffney PM, et al: Meta-analysis of genome-wide linkage studies of systemic lupus erythematosus. Genes Immun. 2006, 7: 609-614. 10.1038/sj.gene.6364338.PubMedGoogle Scholar
  26. Sestak AL, Nath SK, Harley JB: Genetics of systemic lupus erythematosus: how far have we come?. Rheum Dis Clin North Am. 2005, 31: 223-244. 10.1016/j.rdc.2005.01.005.PubMedGoogle Scholar
  27. Sullivan KE, Winkelstein JA: Genetically determined deficiencies of the complement system. Primary Immunodefieciency Diseases: A Molecular and Genetic Approach. Edited by: Ochs HD, Smith C, Puck J. 1999, New York, NY: Oxford University Press, 397-416.Google Scholar
  28. Sullivan KE, Petri MA, Schmeckpeper BJ, McLean RH, Winkelstein JA: Prevalence of a mutation causing C2 deficiency in systemic lupus erythematosus. J Rheumatol. 1994, 21: 1128-1133.PubMedGoogle Scholar
  29. Agnello V: Association of systemic lupus erythematosus and SLE-like syndromes with hereditary and acquired complement deficiency states. Arthritis Rheum. 1978, 21 (5 Suppl): S146-S152.PubMedGoogle Scholar
  30. Johnson CA, Densen P, Hurford RK, Colten HR, Wetsel RA: Type I human complement C2 deficiency. A 28-base pair gene deletion causes skipping of exon 6 during RNA splicing. J Biol Chem. 1992, 267: 9347-9353.PubMedGoogle Scholar
  31. Truedsson L, Alper CA, Awdeh ZL, Johansen P, Sjoholm AG, Sturfelt G: Characterization of type I complement C2 deficiency MHC haplotypes. Strong conservation of the complo-type/HLA-B-region and absence of disease association due to linked class II genes. J Immunol. 1993, 151: 5856-5863.PubMedGoogle Scholar
  32. Yang Y, Chung EK, Zhou B, Lhotta K, Hebert LA, Birmingham DJ, Rovin BH, Yu CY: The intricate role of complement component C4 in human systemic lupus erythematosus. Curr Dir Autoimmun. 2004, 7: 98-132.PubMedGoogle Scholar
  33. Hauptmann G, Tappeiner G, Schifferli JA: Inherited deficiency of the fourth component of human complement. Immunodefic Rev. 1988, 1: 3-22.PubMedGoogle Scholar
  34. Hartung K, Baur MP, Coldewey R, Fricke M, Kalden JR, Lakomek HJ, Peter HH, Schendel D, Schneider PM, Seuchter SA: Major histocompatibility complex haplotypes and complement C4 alleles in systemic lupus erythematosus. Results of a multi-center study. J Clin Invest. 1992, 90: 1346-1351.PubMed CentralPubMedGoogle Scholar
  35. Sullivan KE: Genetics of systemic lupus erythematosus. Clinical implications. Rheum Dis Clin North Am. 2000, 26: 229-222. 10.1016/S0889-857X(05)70137-X.PubMedGoogle Scholar
  36. Prodeus AP, Goerg S, Shen LM, Pozdnyakova OO, Chu L, Alicot EM, Goodnow CC, Carroll MC: A critical role for complement in maintenance of self-tolerance. Immunity. 1998, 9: 721-731. 10.1016/S1074-7613(00)80669-X.PubMedGoogle Scholar
  37. Behrens TW, Graham RR, Kyogoku C, Baechler EC, Ramos PS, Gillett C, Bauer J, Ortmann WA, Hippen KL, Peterson E, et al: Progress towards understanding the genetic pathogenesis of systemic lupus erythematosus. Novartis Found Symp. 2005, 267: 145-160.PubMedGoogle Scholar
  38. Wilson AG, Gordon C, di Giovine FS, de Vries N, van de Putte LB, Emery P, Duff GW: A genetic association between systemic lupus erythematosus and tumor necrosis factor alpha. Eur J Immunol. 1994, 24: 191-195. 10.1002/eji.1830240130.PubMedGoogle Scholar
  39. Atagunduz P, Appel H, Kuon W, Wu P, Thiel A, Kloetzel PM, Sieper J: HLA-B27-restricted CD8+ T cell response to cartilage-derived self peptides in ankylosing spondylitis. Arthritis Rheum. 2005, 52: 892-901. 10.1002/art.20948.PubMedGoogle Scholar
  40. Palucka AK, Blanck JP, Bennett L, Pascual V, Banchereau J: Cross-regulation of TNF and IFN-alpha in autoimmune diseases. Proc Natl Acad Sci USA. 2005, 102: 3372-3377. 10.1073/pnas.0408506102.PubMed CentralPubMedGoogle Scholar
  41. McCarthy DD, Summers-Deluca L, Vu F, Chiu S, Gao Y, Gommerman JL: The lymphotoxin pathway: beyond lymph node development. Immunol Res. 2006, 35: 41-54. 10.1385/IR:35:1:41.PubMedGoogle Scholar
  42. Singer DS, Zinger H, Kohn LD, Mozes E: Differing MHC class I requirements for induction and propagation of experimental systemic lupus erythematosus. Eur J Immunol. 1999, 29: 2259-2268. 10.1002/(SICI)1521-4141(199907)29:07<2259::AID-IMMU2259>3.0.CO;2-1.PubMedGoogle Scholar
  43. D'Alfonso S, Giordano M, Mellai M, Lanceni M, Barizzone N, Marchini M, Scorza R, Danieli MG, Cappelli M, Rovere P, et al: Association tests with systemic lupus erythematosus (SLE) of IL10 markers indicate a direct involvement of a CA repeat in the 5' regulatory region. Genes Immun. 2002, 3: 454-463. 10.1038/sj.gene.6363928.PubMedGoogle Scholar
  44. Lee YH, Witte T, Momot T, Schmidt RE, Kaufman KM, Harley JB, Sestak AL: The mannose-binding lectin gene polymorphisms and systemic lupus erythematosus: two case-control studies and a meta-analysis. Arthritis Rheum. 2005, 52: 3966-3974. 10.1002/art.21484.PubMedGoogle Scholar
  45. Lee YH, Harley JB, Nath SK: CTLA-4 polymorphisms and systemic lupus erythematosus (SLE): a meta-analysis. Hum Genet. 2005, 116: 361-367. 10.1007/s00439-004-1244-1.PubMedGoogle Scholar
  46. Lee YH, Harley JB, Nath SK: Meta-analysis of TNF-alpha promoter -308 A/G polymorphism and SLE susceptibility. Eur J Hum Genet. 2006, 14: 364-371. 10.1038/sj.ejhg.5201566.PubMedGoogle Scholar
  47. Lee YH, Rho YH, Choi SJ, Ji JD, Song GG, Nath SK, Harley JB: The PTPN22 C1858T functional polymorphism and autoimmune diseases: a meta-analysis. Rheumatology (Oxford). 2006, 46: 49-56. 10.1093/rheumatology/kel170.Google Scholar
  48. Lee YH, Rho YH, Choi SJ, Ji JD, Song GG: Angiotensin-converting enzyme insertion/deletion polymorphism and systemic lupus erythematosus: a metaanalysis. J Rheumatol. 2006, 33: 698-702.PubMedGoogle Scholar
  49. Bagavant H, Fu SM: New insights from murine lupus: disassociation of autoimmunity and end organ damage and the role of T cells. Curr Opin Rheumatol. 2005, 17: 523-528. 10.1097/01.bor.0000169361.23325.1e.PubMedGoogle Scholar
  50. Chen YF, Morel L: Genetics of T cell defects in lupus. Cell Mol Immunol. 2005, 2: 403-409.PubMedGoogle Scholar
  51. Cunninghame Graham DS, Vyse TJ: The candidate gene approach: have murine models informed the study of human SLE?. Clin Exp Immunol. 2004, 137: 1-7. 10.1111/j.1365-2249.2004.02525.x.PubMed CentralPubMedGoogle Scholar
  52. Lauwerys BR, Wakeland EK: Genetics of lupus nephritis. Lupus. 2005, 14: 2-12. 10.1191/0961203305lu2052oa.PubMedGoogle Scholar
  53. Morel L: Mouse models of human autoimmune diseases: essential tools that require the proper controls. PLoS Biol. 2004, 2: E241-10.1371/journal.pbio.0020241.PubMed CentralPubMedGoogle Scholar
  54. Rigby RJ, Fernando MM, Vyse TJ: Mice, humans and haplotypes: the hunt for disease genes in SLE. Rheumatology (Oxford). 2006, 45: 1062-1067. 10.1093/rheumatology/kel088.Google Scholar
  55. Nguyen C, Limaye N, Wakeland EK: Susceptibility genes in the pathogenesis of murine lupus. Arthritis Res. 2002, 4 (Suppl 3): S255-S263. 10.1186/ar583.PubMed CentralPubMedGoogle Scholar
  56. Wandstrat A, Wakeland E: The genetics of complex autoimmune diseases: non-MHC susceptibility genes. Nat Immunol. 2001, 2: 802-809. 10.1038/ni0901-802.PubMedGoogle Scholar
  57. Nose M, Nishihara M, Kamogawa J, Terada M, Nakatsuru S: Genetic basis of autoimmune disease in MRL/lpr mice: dissection of the complex pathological manifestations and their susceptibility loci. Rev Immunogenet. 2000, 2: 154-164.PubMedGoogle Scholar
  58. Campagnoli MF, Garbarini L, Quarello P, Garelli E, Carando A, Baravalle V, Doria A, Biava A, Chiocchetti A, Rosolen A, et al: The broad spectrum of autoimmune lymphoproliferative disease: molecular bases, clinical features and long-term follow-up in 31 patients. Haematologica. 2006, 91: 538-541.PubMedGoogle Scholar
  59. Lachmann PJ: Lupus and desoxyribonuclease. Lupus. 2003, 12: 202-206. 10.1191/0961203303lu357xx.PubMedGoogle Scholar
  60. Tao K, Yasutomo K: SLE caused by DNase 1 gene mutation [in Japanese]. Nippon Rinsho. 2005, 63 (Suppl 5): 205-209.PubMedGoogle Scholar
  61. Yasutomo K, Horiuchi T, Kagami S, Tsukamoto H, Hashimura C, Urushihara M, Kuroda Y: Mutation of DNASE1 in people with systemic lupus erythematosus. Nat Genet. 2001, 28: 313-314. 10.1038/91070.PubMedGoogle Scholar
  62. Botto M: C1q knock-out mice for the study of complement deficiency in autoimmune disease. Exp Clin Immunogenet. 1998, 15: 231-234. 10.1159/000019076.PubMedGoogle Scholar
  63. Clynes R, Dumitru C, Ravetch JV: Uncoupling of immune complex formation and kidney damage in autoimmune glomerulonephritis. Science. 1998, 279: 1052-1054. 10.1126/science.279.5353.1052.PubMedGoogle Scholar
  64. Subramanian S, Tus K, Li QZ, Wang A, Tian XH, Zhou J, Liang C, Bartov G, McDaniel LD, Zhou XJ, et al: A Tlr7 translocation accelerates systemic autoimmunity in murine lupus. Proc Natl Acad Sci USA. 2006, 103: 9970-9975. 10.1073/pnas.0603912103.PubMed CentralPubMedGoogle Scholar
  65. Pascual V, Farkas L, Banchereau J: Systemic lupus erythematosus: all roads lead to type I interferons. Curr Opin Immunol. 2006, 18: 676-682. 10.1016/j.coi.2006.09.014.PubMedGoogle Scholar
  66. Lee JY, Goldman D, Piliero LM, Petri M, Sullivan KE: Interferon-gamma polymorphisms in systemic lupus erythematosus. Genes Immun. 2001, 2: 254-257. 10.1038/sj.gene.6363775.PubMedGoogle Scholar
  67. Nakashima H, Inoue H, Akahoshi M, Tanaka Y, Yamaoka K, Ogami E, Nagano S, Arinobu Y, Niiro H, Otsuka T, et al: The combination of polymorphisms within interferon-gamma receptor 1 and receptor 2 associated with the risk of systemic lupus erythematosus. FEBS Lett. 1999, 453: 187-190. 10.1016/S0014-5793(99)00701-2.PubMedGoogle Scholar
  68. Hrycek A, Siekiera U, Cieslik P, Szkrobka W: HLA-DRB1 and -DQB1 alleles and gene polymorphisms of selected cytokines in systemic lupus erythematosus. Rheumatol Int. 2005, 26: 1-6. 10.1007/s00296-004-0503-8.PubMedGoogle Scholar
  69. Tanaka Y, Nakashima H, Hisano C, Kohsaka T, Nemoto Y, Niiro H, Otsuka T, Otsuka T, Imamura T, Niho Y: Association of the interferon-gamma receptor variant (Val14Met) with systemic lupus erythematosus. Immunogenetics. 1999, 49: 266-271. 10.1007/s002510050492.PubMedGoogle Scholar
  70. Yao X, Li YM, Hu ZJ, Li WZ, Chen ZQ: Polymorphisms within the interferon-Gamma receptor associated with systemic lupus erythematosus [in Chinese]. Zhonghua Yi Xue Yi Chuan Xue Za Zhi. 2005, 22: 320-323.PubMedGoogle Scholar
  71. Sigurdsson S, Nordmark G, Goring HH, Lindroos K, Wiman AC, Sturfelt G, Jonsen A, Rantapaa-Dahlqvist S, Moller B, Kere J, et al: Polymorphisms in the tyrosine kinase 2 and interferon regulatory factor 5 genes are associated with systemic lupus erythematosus. Am J Hum Genet. 2005, 76: 528-537. 10.1086/428480.PubMed CentralPubMedGoogle Scholar
  72. Graham DS, Manku H, Wagner S, Reid J, Timms K, Gutin A, Lanchbury JS, Vyse TJ: Association of IRF5 in UK SLE families identifies a variant involved in polyadenylation. Hum Mol Genet. 2007, 16: 579-591. 10.1093/hmg/ddl469.PubMed CentralGoogle Scholar
  73. Demirci FY, Manzi S, Ramsey-Goldman R, Minster RL, Kenney M, Shaw PS, Dunlop-Thomas CM, Kao AH, Rhew E, Bontempo F, et al: Association of a common interferon regulatory factor 5 (IRF5) variant with increased risk of systemic lupus erythematosus (SLE). Ann Hum Genet. 2007, 71: 308-311. 10.1111/j.1469-1809.2006.00336.x.PubMedGoogle Scholar
  74. Graham RR, Kozyrev SV, Baechler EC, Reddy MV, Plenge RM, Bauer JW, Ortmann WA, Koeuth T, Gonzalez Escribano MF, Pons-Estel B, et al: A common haplotype of interferon regulatory factor 5 (IRF5) regulates splicing and expression and is associated with increased risk of systemic lupus erythematosus. Nat Genet. 2006, 38: 550-555. 10.1038/ng1782.PubMedGoogle Scholar
  75. Sawalha AH, Richardson BC: DNA methylation in the pathogenesis of systemic lupus erythematosus. Curr Pharmacogenom. 2005, 3: 73-78. 10.2174/1570160053174983.Google Scholar
  76. Busslinger M, Hurst J, Flavell RA: DNA methylation and the regulation of globin gene expression. Cell. 1983, 34: 197-206. 10.1016/0092-8674(83)90150-2.PubMedGoogle Scholar
  77. Attwood JT, Yung RL, Richardson BC: DNA methylation and the regulation of gene transcription. Cell Mol Life Sci. 2002, 59: 241-257. 10.1007/s00018-002-8420-z.PubMedGoogle Scholar
  78. Richardson B, Scheinbart L, Strahler J, Gross L, Hanash S, Johnson M: Evidence for impaired T cell DNA methylation in systemic lupus erythematosus and rheumatoid arthritis. Arthritis Rheum. 1990, 33: 1665-1673. 10.1002/art.1780331109.PubMedGoogle Scholar
  79. Deng C, Kaplan MJ, Yang J, Ray D, Zhang Z, McCune WJ, Hanash SM, Richardson BC: Decreased Rasmitogen-activated protein kinase signaling may cause DNA hypomethylation in T lymphocytes from lupus patients. Arthritis Rheum. 2001, 44: 397-407. 10.1002/1529-0131(200102)44:2<397::AID-ANR59>3.0.CO;2-N.PubMedGoogle Scholar
  80. Cornacchia E, Golbus J, Maybaum J, Strahler J, Hanash S, Richardson B: Hydralazine and procainamide inhibit T cell DNA methylation and induce autoreactivity. J Immunol. 1988, 140: 2197-2200.PubMedGoogle Scholar
  81. Deng C, Lu Q, Zhang Z, Rao T, Attwood J, Yung R, Richardson B: Hydralazine may induce autoimmunity by inhibiting extracellular signal-regulated kinase pathway signaling. Arthritis Rheum. 2003, 48: 746-756. 10.1002/art.10833.PubMedGoogle Scholar
  82. Yung RL, Quddus J, Chrisp CE, Johnson KJ, Richardson BC: Mechanism of drug-induced lupus. I. Cloned Th2 cells modified with DNA methylation inhibitors in vitro cause autoimmunity in vivo. J Immunol. 1995, 154: 3025-3035.PubMedGoogle Scholar
  83. Ballestar E, Esteller M, Richardson BC: The epigenetic face of systemic lupus erythematosus. J Immunol. 2006, 176: 7143-7147.PubMedGoogle Scholar
  84. Chen Y, Perry D, Boackle SA, Sobel ES, Molina H, Croker BP, Morel L: Several genes contribute to the production of autore-active B and T cells in the murine lupus susceptibility locus sle1c. J Immunol. 2005, 175: 1080-1089.PubMedGoogle Scholar
  85. Johanneson B, Lima G, von Salome J, Alarcon-Segovia D, Alarcon-Riquelme ME: A major susceptibility locus for systemic lupus erythemathosus maps to chromosome 1q31. Am J Hum Genet. 2002, 71: 1060-1071. 10.1086/344289.PubMed CentralPubMedGoogle Scholar
  86. Shai R, Quismorio FP, Li L, Kwon OJ, Morrison J, Wallace DJ, Neuwelt CM, Brautbar C, Gauderman WJ, Jacob CO: Genome-wide screen for systemic lupus erythematosus susceptibility genes in multiplex families. Hum Mol Genet. 1999, 8: 639-644. 10.1093/hmg/8.4.639.PubMedGoogle Scholar
  87. Lindqvist AK, Steinsson K, Johanneson B, Kristjansdottir H, Arnasson A, Grondal G, Jonasson I, Magnusson V, Sturfelt G, Truedsson L, et al: A susceptibility locus for human systemic lupus erythematosus (hSLE1) on chromosome 2q. J Autoimmun. 2000, 14: 169-178. 10.1006/jaut.1999.0357.PubMedGoogle Scholar
  88. Morel L, Tian XH, Croker BP, Wakeland EK: Epistatic modifiers of autoimmunity in a murine model of lupus nephritis. Immunity. 1999, 11: 131-139. 10.1016/S1074-7613(00)80088-6.PubMedGoogle Scholar
  89. Gray-McGuire C, Moser KL, Gaffney PM, Kelly J, Yu H, Olson JM, Jedrey CM, Jacobs KB, Kimberly RP, Neas BR, et al: Genome scan of human systemic lupus erythematosus by regression modeling: evidence of linkage and epistasis at 4p16-15.2. Am J Hum Genet. 2000, 67: 1460-1469. 10.1086/316891.PubMed CentralPubMedGoogle Scholar
  90. Xing C, Sestak AL, Kelly JA, Nguyen KL, Bruner GR, Harley JB, Gray-McGuire C: Localization and replication of the systemic lupus erythematosus linkage signal at 4p16: interaction with 2p11, 12q24 and 19q13 in European Americans. Hum Genet. 2007, 120: 623-631. 10.1007/s00439-006-0248-4.PubMedGoogle Scholar
  91. Subramanian S, Yim YS, Liu K, Tus K, Zhou XJ, Wakeland EK: Epistatic suppression of systemic lupus erythematosus: fine mapping of sles1 to less than 1 mb. J Immunol. 2005, 175: 1062-1072.PubMedGoogle Scholar
  92. Cantor RM, Yuan J, Napier S, Kono N, Grossman JM, Hahn BH, Tsao BP: Systemic lupus erythematosus genome scan: support for linkage at 1q23, 2q33, 16q12-13, and 17q21-23 and novel evidence at 3p24, 10q23-24, 13q32, and 18q22-23. Arthritis Rheum. 2004, 50: 3203-3210. 10.1002/art.20511.PubMedGoogle Scholar
  93. Quintero-Del-Rio AI, Kelly JA, Garriott CP, Hutchings DC, Frank SG, Aston CE, Harley JB: SLEN2 (2q34-35) and SLEN1 (10q22.3) replication in systemic lupus erythematosus stratified by nephritis. Am J Hum Genet. 2004, 75: 346-348. 10.1086/422460.PubMed CentralPubMedGoogle Scholar
  94. Quintero-Del-Rio AI, Kelly JA, Kilpatrick J, James JA, Harley JB: The genetics of systemic lupus erythematosus stratified by renal disease: linkage at 10q22.3 (SLEN1), 2q34-35 (SLEN2), and 11p15.6 (SLEN3). Genes Immun. 2002, 3 (Suppl 1): S57-S62. 10.1038/sj.gene.6363901.PubMedGoogle Scholar
  95. Nath SK, Quintero-Del-Rio AI, Kilpatrick J, Feo L, Ballesteros M, Harley JB: Linkage at 12q24 with systemic lupus erythematosus (SLE) is established and confirmed in Hispanic and European American families. Am J Hum Genet. 2004, 74: 73-82. 10.1086/380913.PubMed CentralPubMedGoogle Scholar
  96. Gaffney PM, Ortmann WA, Selby SA, Shark KB, Ockenden TC, Rohlf KE, Walgrave NL, Boyum WP, Malmgren ML, Miller ME, et al: Genome screening in human systemic lupus erythematosus: results from a second Minnesota cohort and combined analyses of 187 sib-pair families. Am J Hum Genet. 2000, 66: 547-556. 10.1086/302767.PubMed CentralPubMedGoogle Scholar
  97. Nath SK, Namjou B, Hutchings D, Garriott CP, Pongratz C, Guthridge J, James JA: Systemic lupus erythematosus (SLE) and chromosome 16: confirmation of linkage to 16q12-13 and evidence for genetic heterogeneity. Eur J Hum Genet. 2004, 12: 668-672. 10.1038/sj.ejhg.5201209.PubMedGoogle Scholar
  98. Namjou B, Nath SK, Kilpatrick J, Kelly JA, Reid J, James JA, Harley JB: Stratification of pedigrees multiplex for systemic lupus erythematosus and for self-reported rheumatoid arthritis detects a systemic lupus erythematosus susceptibility gene (SLER1) at 5p15.3. Arthritis Rheum. 2002, 46: 2937-2945. 10.1002/art.10588.PubMedGoogle Scholar
  99. Nath SK, Namjou B, Garriott CP, Frank S, Joslin PA, Kilpatrick J, Kelly JA, Harley JB: Linkage analysis of SLE susceptibility: confirmation of SLER1 at 5p15.3. Genes Immun. 2004, 5: 209-214. 10.1038/sj.gene.6364060.PubMedGoogle Scholar
  100. Namjou B, Kelly JA, Kilpatrick J, Kaufman KM, Nath SK, Scofield RH, Harley JB: Linkage at 5q14.3-15 in multiplex systemic lupus erythematosus pedigrees stratified by autoimmune thyroid disease. Arthritis Rheum. 2005, 52: 3646-3650. 10.1002/art.21413.PubMedGoogle Scholar
  101. Nath SK, Namjou B, Kilpatrick J, Garriott CP, Bruner GR, Scofield RH, Harley JB: A candidate region on 11p13 for systemic lupus erythematosus: a linkage identified in African-American families. J Investig Dermatol Symp Proc. 2004, 9: 64-67. 10.1111/j.1087-0024.2004.00830.x.PubMedGoogle Scholar
  102. Scofield RH, Bruner GR, Kelly JA, Kilpatrick J, Bacino D, Nath SK, Harley JB: Thrombocytopenia identifies a severe familial phenotype of systemic lupus erythematosus and reveals genetic linkages at 1q22 and 11p13. Blood. 2003, 101: 992-997. 10.1182/blood-2002-04-1003.PubMedGoogle Scholar
  103. Kelly JA, Thompson K, Kilpatrick J, Lam T, Nath SK, Gray-McGuire C, Reid J, Namjou B, Aston CE, Bruner GR, et al: Evidence for a susceptibility gene (SLEH1) on chromosome 11q14 for systemic lupus erythematosus (SLE) families with hemolytic anemia. Proc Natl Acad Sci USA. 2002, 99: 11766-11771. 10.1073/pnas.182162399.PubMed CentralPubMedGoogle Scholar
  104. Sawalha AH, Namjou B, Nath SK, Kilpatrick J, Germundson A, Kelly JA, Hutchings D, James J, Harley J: Genetic linkage of systemic lupus erythematosus with chromosome 11q14 (SLEH1) in African-American families stratified by a nucleolar antinuclear antibody pattern. Genes Immun. 2002, 3 (Suppl 1): S31-S34. 10.1038/sj.gene.6363904.PubMedGoogle Scholar
  105. Spritz RA, Gowan K, Bennett DC, Fain PR: Novel vitiligo susceptibility loci on chromosomes 7 (AIS2) and 8 (AIS3), confirmation of SLEV1 on chromosome 17, and their roles in an autoimmune diathesis. Am J Hum Genet. 2004, 74: 188-191. 10.1086/381134.PubMed CentralPubMedGoogle Scholar
  106. Namjou B, Nath SK, Kilpatrick J, Kelly JA, Reid J, Reichlin M, James JA, Harley JB: Genome scan stratified by the presence of anti-double-stranded DNA (dsDNA) autoantibody in pedigrees multiplex for systemic lupus erythematosus (SLE) establishes linkages at 19p13.2 (SLED1) and 18q21.1 (SLED2). Genes Immun. 2002, 3 (Suppl 1): S35-S41. 10.1038/sj.gene.6363905.PubMedGoogle Scholar
  107. Hogarth MB, Slingsby JH, Allen PJ, Thompson EM, Chandler P, Davies KA, Simpson E, Morley BJ, Walport MJ: Multiple lupus susceptibility loci map to chromosome 1 in BXSB mice. J Immunol. 1998, 161: 2753-2761.PubMedGoogle Scholar

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