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A comprehensive review of the genetics of juvenile idiopathic arthritis
Pediatric Rheumatologyvolume 6, Article number: 11 (2008)
Juvenile idiopathic arthritis (JIA) is the most common chronic arthropathy of childhood which is believed to be influenced by both genetic and environmental factors. The progress in identifying genes underlying JIA susceptibility using candidate gene association studies has been slow. Several associations between JIA and variants in the genes encoding the human leukocyte antigens (HLA) have been confirmed and replicated in independent cohorts. However it is clear that genetic variants outside the HLA also influence susceptibility to JIA. While a large number of non-HLA candidate genes have been tested for associations, only a handful of reported associations such as PTPN22 have been validated. In this review we discuss the principles behind genetic studies of complex traits like JIA, and comprehensively catalogue non-HLA candidate-gene association studies performed in JIA to date and review several validated associations. Most candidate gene studies are underpowered and do not detect associations, and those that do are often not replicated. We also discuss the principles behind genome-wide association studies and discuss possible implications for identifying genes underlying JIA. Finally we discuss several genetic variants underlying multiple clinically distinct autoimmune phenotypes.
Juvenile idiopathic arthritis rers to a group of chronic arthropathies of childhood. According to the International League of Associations for Rheumatology criteria, JIA comprises seven subtypes. These include systemic JIA (sJIA), oligoarticular JIA, rheumatoid factor (RF)-negative polyarticular JIA, RF-positive polyarticular JIA, enthesitis related arthritis (ERA), psoriatic arthritis and undifferentiated JIA. The relatively homogeneous subtypes of JIA share clinical features with other chronic autoimmune disorders such as rheumatoid arthritis (RA), psoriasis or spondyloarthropathies . Autoimmune disorders are relatively common in the population, estimated to have a prevalence of about ~5% in the US. While clinical and laboratory features distinguish many of these autoimmune disorders, there is accumulating evidence to support the hypothesis that clinically distinct autoimmune phenotypes share common genetic susceptibility factors. In this review, we will examine the genetic factors that underlie JIA susceptibility, and discuss some of the genetic factors that underlie multiple autoimmune phenotypes.
JIA is an autoimmune disorder
All subtypes of JIA are characterized by persistent joint swelling caused by an accumulation of synovial fluid and thickening of the synovial lining. There is evidence to support the involvement of different components of the immune system in the etiopathogenesis of JIA. The synovial tissue contains various inflammatory cells including neutrophils, plasma cells, dendritic cells and a high proportion of activated T-cells [4–6]. The recruitment of pro-inflammatory cells into the synovium of a child with JIA is believed to be mediated by chemokines that selectively attract Th1 T-cells [7–9]. These T-cells are characterized by the production of interleukin (IL)-2, interferon-γ, and tumor necrosis factor (TNF)-β. Many other autoimmune disorders including RA, inflammatory bowel disease (IBD), psoriasis, and type 1 diabetes mellitus (T1DM) are also associated with Th1-dominant responses[10, 11]. Several studies have demonstrated that Th1 cytokines also predominate in the synovial tissue and synovial fluid samples from children with JIA [12–15]. Pro-inflammatory cytokines including sCD154 are significantly elevated in sera of children with JIA as well . Thus, there is compelling evidence that activated T-lymphocytes play a role in the pathogenesis of JIA.
Involvement of the other components of the immune system is also evident in JIA. For instance a significant proportion of children with JIA have antinuclear antibodies, and some children have rheumatoid factors, suggesting a role of the humoral component of the immune system. The predominance of neutrophils in the synovial fluid of children with JIA, elevated levels of monocyte derived inflammatory cytokines, and complement activation have led to investigations of the involvement of innate immune system in JIA. Using gene expression analysis, Jarvis et al have found that neutrophils in children with polyarticular JIA show differences in levels of expression of over 700 genes compared to healthy controls . These differences persisted despite clinical responses to pharmacological therapy, suggesting that neutrophils might be intrinsically involved in the pathogenesis of polyarticular subtypes of JIA. Together, these data point to the role of aberrant immune/inflammatory responses in JIA.
Evidence that genetic factors underlie JIA susceptibility
Twin and family studies have provided evidence for genetic contributions to susceptibility of JIA. Twin studies have shown that the monozygotic twin concordance rates for JIA range between 25 to 40 %, a risk that is substantially greater than the population prevalence of 1 in 1000 . An analysis of twin pairs in a national JIA registry showed that at least 80 % of the twin pairs in the registry were monozygotic, when one would expect only a third to be monozygotic . Similarly examination of affected sibling pairs with JIA reveals concordance for disease onset, and disease course[20, 21]. Furthermore siblings were more likely to develop JIA at the same age of onset, rather than the same calendar year. The prevalence of JIA among siblings of probands is about 15–30 times that of the general population prevalence[22, 23]. Finally a computerized probabilistic record-linking analysis identified several clusters of children with JIA sharing common ancestors . Together these studies provide compelling evidence for a substantial genetic component underlying JIA susceptibility.
JIA is a complex genetic trait
Complex genetic traits are those phenotypes that do not exhibit classic Mendelian inheritance patterns which could be attributed to variants in a single gene locus[24, 25]. Complex traits are often believed to be determined by a number of genetic and environmental factors. While increased prevalence of JIA has been shown in twins or siblings of probands with JIA, parent-offspring pairs and extended multiplex JIA families are relatively uncommon in JIA. Relatives of JIA probands have increased prevalence of other autoimmune disorders [26, 27]. The best characterized genetic factors, i.e., polymorphisms in the genes encoding human leukocyte antigen (HLA -DR) have been estimated to account for only 17 % of the proportion of sibling recurrence risk in JIA. These factors support the notion that JIA is a complex phenotype.
Exploring the genetic basis of disease
Linkage and association studies are analytical approaches used to dissect the genetic basis of common diseases. Both studies rely on the same principles and assumptions, namely the co-inheritance of polymorphisms linked to a disease allele [29, 30]. Linkage studies test whether a phenotype and a marker allele show correlated transmission within a pedigree. Linkage analysis requires large collections of multiplex families, in which multiple family members have the phenotype of interest. Association studies test whether a phenotype and a marker allele show correlated occurrence in a population. Association studies compare unrelated affected and unaffected individuals within a population. An allele at a locus of interest is associated with a phenotype if it occurs at a significantly higher (or lower) frequency among cases compared to controls. The selection of controls is very critical in case-control association studies, since results can be affected by population stratification. Family-based association studies, including the transmission disequilibrium test (TDT) are not affected by population stratification, since they use untransmitted alleles as controls within families. When linkage or association between a marker and a disease is detected, it implies either that the marker is the disease allele, or that the marker is in linkage disequilibrium (LD) with the disease allele. LD is a non-random association of alleles at two or more loci and is a measure of co-segregation of alleles in a population[31, 32].
The search for genetic factors underlying susceptibility to complex traits can be classified as functional candidate gene studies or genome-wide studies. Functional candidate-gene studies begin by selecting genes whose known functions suggest that they could be influencing the phenotype of interest. In genome-wide studies, the genome is searched for susceptibility loci, and no assumptions are made about the candidacy of particular genes or genomic regions. Until now most association studies could examine only a small fraction of the sequence variation in an affected individual. However, advances in genome technologies, and the availability of haplotype and LD information from the HapMap project now facilitate comprehensive genome-wide searches for genetic influences .
Genes underlying JIA susceptibility
Genetic variants underlying JIA susceptibility have been reviewed extensively[18, 33–37]. The major histocompatibility complex (MHC) region on chromosome 6 is packed with over 200 genes, many of which are essential to the immune system. Numerous associations between HLA polymorphisms and JIA subtypes have been reported in multiple populations (Table 1). Within the HLA complex there are genes encoding class I (HLA A, B and C), and class II (HLA-DR, DP and DQ) molecules. The class I allele HLA-A2 is associated with different JIA subtypes, especially in those with early onset[38, 39]. HLA-B27 is associated with enthesitis related JIA [39–41]. Oligoarticular JIA is the subtype with the most HLA class II associations. Oligoarticular JIA is positively associated with HLA DRB1*01, DRB1*08, DRB1*11, DRB1*13, DPB1*02 and DQB1*04[38, 39, 41–44]. HLA DRB1*04 and DRB1*07 are seen less frequently in children with oligoarticular JIA than controls, suggesting that they are protective[38, 39, 41, 44]. Polyarticular RF negative JIA is associated with DRB1*08 and DPB1*03 [41, 44]. Polyarticular RF-positive JIA, which is phenotypically similar to adult RA, is associated with DRB1*04, DQA1*03, and DQB1*03[41, 44]. Psoriatic arthritis was found in the study by Thomson et al to be associated with HLA DRB1*01, and DQA1*0101. Associations between sJIA and HLA DRB1*04 have also been reported[45, 46]. A recent study reported an association between a polymorphism in the HLA-G region and JIA, with a pronounced association in female subjects . While some associations appear to be secondary to LD (for instance HLA DR and DQ alleles), most associations are not explained by LD, suggesting that several HLA loci independently contribute to susceptibility of JIA or its subtypes. A study involving over 600 children with JIA and 254 ethnicity-matched healthy controls confirmed several previously reported HLA associations, and also identified age-specific windows of susceptibility for the different HLA alleles. This study also demonstrated that the number of susceptibility alleles was inversely proportional to the age of onset of JIA. Among children who carried HLA-A2, DPB1*0201, and one susceptible -DR allele the median age of onset of oligoarticular JIA was just 2.4 years.
Non HLA Associations
A number of non-HLA genes have been tested for association with JIA. Only a few of these have been replicated in additional cohorts. Some of these are reviewed by Phelan et al . A systematic review of the literature suggests that about 100 different non-HLA candidate loci have been investigated for associations with JIA, in over 150 tests for genetic association in different cohorts (Table 2). Although ~25 % of all tests reported finding an association, independent confirmations are found for only a handful of candidate genes including PTPN22, MIF, SLC11A6, WISP3, and TNFA (Table 3). Many studies analyze JIA as a single phenotype. While combining clinically distinct entities such as systemic JIA and oligoarticular JIA might confound the results, stratification of subjects leads to further loss of power. Finally most studies do not correct for multiple comparisons, which might result in false positive associations that cannot be ultimately confirmed. The ranges of cases in these studies varied from 33 individuals to 950 individuals with JIA, and the number of controls ranged from 40 to 1952. The median number of cases was 130, while the median number of controls was 276. Only a few studies used more than 800 cases of JIA. These observations suggest that most of these studies are underpowered to detect associations with modest odds ratios (OR) (Table 4). Results of studies in other complex genetic traits suggest that most associated variants have only a modest OR of about 1.5. These observations reinforce the importance of properly performed and reported studies including the capacity to replicate.
Interpreting the different associations (or lack of associations) between genetic variants and phenotypes can be further complicated by differences in phenotype description. JIA comprises several sub-phenotypes with distinct clinical features and outcomes. Although the ILAR classification criteria, which are increasingly being used to describe juvenile arthritis attempts to define homogenous subtypes, there are still some challenges. For instance a child with four affected joints is classified as oligoarticular JIA, while a child with five affected joints is classified as polyarticular JIA, although clinically the difference is not significant. Similarly, a child with five affected joints and another with over 20 joints are both classified as polyarticular, although clinically they appear distinct. While this can be addressed in part, by analyzing children with JIA as a group, and then performing analyses by subtypes, this results in multiple comparisons. One approach to address this issue might be to use genetic information to stratify subjects into subtypes, and this might results in more homogenous subtypes. For instance studies of adult RA subjects frequently stratify the subjects based on presence or absence of the shared HLA-DR epitope[49, 50]. Similarly, it might be reasonable to stratify JIA patients by HLA associations while conducting genetic studies. It also would better facilitate comparisons of genetic studies performed in different populations. Finally, this would also help to delineate associations due to LD. For instance the MHC region has extensive LD, and associations described with variants in this region could be due to LD with HLA polymorphisms. Together, these observations reinforce the need for meticulous attention to defining the phenotypes and caution with interpreting results of genetic association studies.
A recent critical review of several genes and polymorphisms tested as part of commercially available genomic profiles highlights the challenges of genetic association testing . The authors used individual gene-disease association studies as well as meta-analyses to examine polymorphisms in 56 genes. Of these 32 genes had been examined in meta-analyses of 160 polymorphism-disease association comparisons. Only 38% were found to be statistically significant, with very modest associations. Furthermore, often associations were found with phenotypes different from the original phenotype being tested for association. For instance, genes tested in cardiogenomic profiles were more frequently associated with non-cardiac diseases. It is anticipated that most disease-phenotype associations of complex traits are likely to be of modest significance, with OR <1.5 . Thus, the modest genetic effects necessitates collaboration, both by performing collaborative studies where samples are pooled, as well as by data-sharing by investigators in order to detect meaningful associations.
Non-replication of initial associations can be due to myriad factors including a false-positive result in the first cohort, population stratification in the first cohort, inadequate power in the replication cohort(s), genotyping errors, selection biases, and true population differences. It should be noted that lack of an association in the first cohort often might discourage further studies of that gene by other investigators, even though the first cohort might not have had adequate power to truly detect a modest association. The power to detect associations also depends on the minor allele frequency, and hence for rare variants much larger samples would be necessary. It is feasible to increase the power of genetic studies by using large numbers of appropriate controls, thereby increasing the control to case ratio. The quality of genetic associations will be significantly enhanced by increasing sample sizes, and validating initial discoveries by collaborative studies. Following published guidelines for performing and reporting genetic association studies will improve the quality of studies and facilitate the discovery of true causal variants[54, 55]. For instance, providing power calculations, and if the variant under study has been investigated previously, performance of a meta-analysis would be beneficial. Ultimately, associations that are reproducible, as well as demonstration of functional consequences of genetic variation are necessary to translate the results of these studies to the diagnosis, treatment and understanding of JIA.
Association studies between JIA and non-HLA variants have been reviewed previously [33–35]. The following are some genetic associations that have been confirmed in more than one cohort. TNFA, the gene encoding the pro-inflammatory cytokine TNF-α has been the focus of several association studies of autoimmune diseases. Associations between TNFA and different JIA subtypes have been previously reported. An association between early onset oligoarticular JIA and TNF variants were reported by Epplen et al. Another study found associations between persistent oligoarticular JIA and TNFA variants. An association between a SNP at position -857 of TNFA and sJIA was reported by Date et al. Schmeling et al found an association between TNFA variants and psoriatic arthritis polyarticular JIA subtypes. In a case control study of children with JIA, Miterski et al found no associations with TNFA SNPs, but found an association with a microsatellite in the TNFA gene. Thus, while variants in TNFA appear to be associated with JIA, there are clearly differences between various studies with regard to the associated variant(s) and/or associated subtype. It should be noted that some of the associations could be due to LD, as the TNFA and HLA loci are both contained in the MHC region.
The gene encoding macrophage migration inhibitory factor (MIF) has also been investigated in several cohorts of patients with JIA. A functional SNP at position -173 has been associated with JIA in the study by Donn et al, in 526 British children with JIA and 259 ethnicity-matched controls. This finding was replicated using an independent cohort of JIA trios, using TDT . However, this SNP did not show an association in the studies by Miterski et al, and Berdeli et al, although it should be noted that both of these cohorts had smaller number of subjects [59, 62]. Of interest, the latter study did find that carriage of -173C allele was a strong predictor of poor outcome of JIA. It has previously been shown that this allele is a predictor of poor outcome in sJIA . A recent study of patients with oligoarticular JIA that had been followed for at least 5 years confirmed that -173C was a predictor of poor response to intra-articular corticosteroid treatment . Together, these studies imply that MIF variants may be associated with susceptibility to JIA, as well as the phenotype of JIA but should be noted that MIF-173C was not associated with adult RA in a replication study.
The SLC11A1 gene (formerly called NRAMP1) is important in natural resistance to various intracellular infections mediated by macrophages. Variants in this gene have also been found to be associated with JIA in at least two cohorts [66, 67]. In the first study of Latvian and Russian children with JIA, a functional promoter microsatellite polymorphism (allele 3) was found to be associated with susceptibility to JIA (OR 2.26). Conversely, another variant, allele 2, was associated with protection from JIA. Interestingly, these alleles demonstrate opposite associations in infection and autoimmunity, with allele 3 conferring susceptibility to autoimmunity and protection from tuberculosis. Conversely, allele 2 confers protection from autoimmunity while increasing susceptibility to tuberculosis. These suggest that balancing natural selection might be acting upon this locus. In a subsequent study, Runstadler et al studied both of these SLC11A1 alleles as well as three SNPs and an insertion/deletion polymorphism in the region . A six-marker haplotype demonstrated a strong association with JIA as a group, as well as in oligoarticular and polyarticular subtypes. Haplotypes that did not contain allele 3 identified in the study by Sanjeevi et al, were also found to show significant association suggesting that variants in this region might have independent associations with JIA. These two studies support a role for SLC11A1 variants in JIA susceptibility.
The gene encoding IL-1α, a potent pro-inflammatory cytokine, has been investigated in several JIA cohorts for a genetic association. Originally an association was described between a SNP in the promoter region of IL1A in Norwegian children with JIA. The association was most pronounced in those with early onset oligoarticular JIA. However this finding was not replicated in two cohorts from the UK in subsequent studies, although one study investigating a number of polymorphisms demonstrated an association that was not significant when corrected for multiple comparisons [69, 70]. A recent two-staged association study identified several variants in the IL-1 gene cluster, and some in the IL-1 receptor cluster were associated with systemic JIA . IL-6 is another potently pro-inflammatory cytokine shown to be elevated in children with JIA[16, 72–74]. A functional SNP in the promoter of the IL6 gene was shown to be associated with sJIA by Fishman et al. The effect was pronounced in children under 5 years of age. This finding was not replicated in a smaller sJIA cohort by Donn et al. However, using an international cohort of families of children with sJIA, Ogilvie et al did find a significant association between the IL6-174 SNP and sJIA, but in children with onset >5 years. An association between a promoter variant in IRF1, the gene encoding interferon regulatory factor and JIA was reported by Donn et al in a cohort of 417 cases with JIA and 276 controls. However, when they repeated the study using different controls and additional cases, no significant differences in allele or genotype frequencies of several IRF1 variants were observed. Together, these studies illustrate the difficulties of replicating significant positive findings from initial cohorts in subsequent larger replication studies.
An association between a SNP (G84A) in the gene encoding the Wnt-1 inducible signaling pathway protein 3 (WISP3) and polyarticular JIA was described by Lamb et al. After observing a positive association in the initial cohort of 159 cases and 263 controls, the finding was replicated in an independent cohort of 181 cases and 355 controls. In addition they used parent-child trios for TDT, which demonstrated a trend towards over-transmission of the 84A allele. This finding has not been replicated in other cohorts to our knowledge.
JIA and RA are examples of autoimmune diseases mediated by Th1-immune responses. Synovial T-cells express high levels of the Th1-chemokine receptor (CCR5). A 32 basepair deletion in the open reading frame of the gene encoding CCR5 (Δ32) has been shown to be protective against RA in a meta-analysis of RA association studies. We have shown that a variant in the promoter region of CCR5, C-1835T is significantly under-transmitted to children with early onset JIA, and with oligoarticular JIA. CCR5-Δ32 was also tested in ~700 simplex and multiplex JIA families and found to be under-transmitted to children with early onset JIA. These two variants did not appear to be in LD, and the haplotype that did not contain either of the "protective" variants was significantly over-transmitted. In a study of Norwegian adults with RA and children with JIA, Lindner et al tested CCR5-Δ32, and failed to replicate these results. When they repeated the meta-analysis of RA association studies including their results, the negative association between RA and CCR5-Δ32 was less pronounced, but still statistically significant (OR 0.8, p < 0.007). When they compared children with JIA and the controls, although there was a trend towards a negative association, it was not statistically significant (OR 0.82, p < 0.15). The authors in that study did not investigate other CCR5 variants, including C-1835T.
The gene PTPN22 encodes a lymphoid tyrosine phosphatase (LYP) involved in inhibition of T-cell activation. A SNP within the PTPN22 gene (C1858T) has been shown to be associated with multiple autoimmune phenotypes including RA, T1DM, and SLE[65, 81–83]. To date, there have been four studies of this polymorphism in JIA cohorts [84–86]. The study by Seldin et al did not find an association between 230 Finnish probands with JIA and this PTPN22 variant. In contrast, Viken et al reported an association between JIA and PTPN22 C1858T using 320 Norwegian cases. Another study by Hinks et al also confirmed an association between PTPN22 and JIA using 661 JIA cases from the UK. A fourth study using Czech JIA patients also confirmed the association between the C1858T variant and JIA. A pooled analysis of these four studies confirms that carriage of the T allele increases the susceptibility to JIA, although the magnitude of the association is only modest, with an OR of ~1.3. Thus, PTPN22 has been shown to have an association with JIA.
Strategies to select candidate genes
Selection of candidate genes to be tested for association with JIA might be aided by careful definition of the phenotype, and by testing variants predisposing to monogenic diseases that share phenotypic features with JIA subtypes. For instance, macrophage activation syndrome (MAS), a potentially life-threatening complication, can occur in children with sJIA . MAS is characterized by an overwhelming inflammatory reaction, and is phenotypically similar to hemophagocytic lymphohistiocytosis (HLH). Both familial and acquired forms of HLH are observed. Four autosomal recessive forms of familial HLH have been described, and three of these have been linked to mutations in the genes encoding perforin (PRF1), Munc13-14 (UNC13D), and syntaxin 11 (STX11). The products encoded by these genes are involved in controlling granule exocytosis in cytotoxic lymphocytes, which are necessary for the physiologic termination of certain immune responses.
Investigations of natural killer (NK) and cytotoxic functions in children with sJIA and MAS have revealed evidence of decreased NK cell activity similar to that seen in familial HLH . In an investigation of NK cell dysfunction, children with sJIA demonstrated significantly decreased NK cell activity compared to pediatric controls, while decreased NK cell activity was rare in children with other JIA subtypes. Grom et al, described three children with sJIA and MAS who demonstrated low levels of perforin expression in all cytotoxic cell populations indistinguishable from that in carriers of perforin-deficient familial HLH. These children did not have PRF1 mutations. In a larger study, 62 children with sJIA (some with MAS) were screened for PRF1 mutations. Four mutations were identified, out of which, one (Ala91Val) was significantly higher in children who had MAS and sJIA. In a recent study, Zhang et al investigated whether variants in UNC13D contribute to MAS in 18 subjects with MAS and sJIA. None of the 18 had mutations in PRF1. Two had mutations consistent with a diagnosis of familial HLH. Nine of the remaining 16 had a unique haplotype of 12 SNPs, which was significantly greater than that in controls, (57% vs. 12 %, P < 0.000001), suggesting that this UNC13D haplotype is associated with MAS. The frequency of this haplotype in 73 children with sJIA who did not have MAS was not significantly different compared to controls.
Recently, Hazen et al reported on an 8 year old girl with sJIA without clinical evidence of MAS, who carried compound heterozygote mutations in the UNC13D gene, and reduced NK cell cytotoxic function. This suggests that some children with sJIA without clinical evidence of MAS have abnormal NK cell function. To estimate the frequency of occult MAS, Behrens et al studied 15 children with sJIA that underwent bone marrow aspirations . Occult MAS was found in 8 subjects, although only 2 had clinical evidence of MAS, suggesting that the immune dysregulation seen in MAS might be integral to the pathogenesis of sJIA. Thus, MAS/HLH could be a part of the spectrum of sJIA, and therefore, it is plausible that genetic variants predisposing to familial HLH might also play a role in susceptibility to MAS, and/or sJIA. Recently, variants in PRF1, GZMB, UNC13D and Rab27a genes were tested for association with sJIA using 133 cases and 384 controls . None of the variants demonstrated an association with sJIA. Together, these illustrate that careful genotype-phenotype correlations, and extending associations from related phenotypes, will improve the odds of detecting variants predisposing to susceptibility to JIA and its subtypes.
Another approach to finding genes underlying complex traits is to search the entire genome to find genetic markers that are present more often in affected individuals. Large extended multiplex pedigrees are relatively rare precluding conventional parametric linkage studies, in which parameters such as genetic model, mode of inheritance, penetrance of each genotype etc need to be specified. These parameters are often not available for many complex diseases. An alternative approach is to use non-parametric methods of linkage such as allele-sharing methods in affected sibling pairs. Thompson et al performed a genome wide linkage study using ~400 microsatellite polymorphisms in 121 JIA affected sibling pair families . Although this study confirmed the role of HLA and identified several other regions of interest, the study had limited power and a replication cohort was not available. The heterogeneity of JIA further results in lower power when subjects are stratified by different JIA subtypes. The strongest evidence of linkage to JIA was near the HLA-DRB1 locus. When subjects were stratified by JIA subtype evidence for linkage was found at different chromosomal locations for early onset oligoarticular JIA and polyarticular JIA. This suggests that while some loci such as HLA contribute to JIA susceptibility in general, there are likely other loci that influence the different JIA subtypes. This familiar linkage approach is now being superseded by association studies that involve the entire genome.
An attractive alternative approach to linkage studies is to perform a genome-wide association study (GWAS), which does not require multiplex families, but can be performed with large number of cases and controls. A GWAS examines tens of thousands of genetic variants in a large number of unrelated cases and controls. GWAS have led to the successful identification of several genetic variants that underlie complex autoimmune phenotypes including T1DM, RA, IBD, AS [97–101]. A large collaborative GWAS utilized 3000 shared controls and 2000 cases of 7 different common complex traits which included IBD, RA and T1DM. In all, 17000 individuals were genotyped for >500,000 SNPs. This study confirmed previously reported associations such as IL23R, and NOD2 for IBD, HLA-DRB1 and PTPN22 for RA and T1DM as well as several other loci for T1DM. In addition this study identified several new loci that showed strong evidence of association with IBD, RA and T1DM. Some SNPs appear to be associated with more than one autoimmune disease. Other investigators have used GWAS to identify other loci underlying RA such as TRAF1/C5. Interestingly another group using a candidate gene approach also reported an association between RA and TRAF1/C5 locus . GWAS have also been successful in identifying other RA associated loci. Two groups reported associations between individuals with RA and variants located on 6q23, near which are some possible candidate genes[102, 104]. Together these studies demonstrate the feasibility of performing GWAS to identify genes underlying predisposition to well defined phenotypes.
To date there are no published studies of GWAS in JIA cohorts although several groups are undertaking such studies. Several GWAS studies are in progress in JIA using high density SNP platforms. Data published in abstract forms suggest that this approach might be successful in identifying JIA associated variants. In a GWAS utilizing individuals with JIA and RA using a SNP platform with 115,075 SNPs, John et al were able to detect known susceptibility loci such as PTPN22 and HLA . Using a high density SNP GWAS, Thompson et al were able to identify specific polymorphisms potentially involved in JIA at large, as well as other SNPs that appear to influence specific JIA subtypes . Confirmation of initial discoveries from these studies in in independent cohorts is necessary. The consolidation of available cohorts is an active need to improve power, as well as to enable replication studies.
Genetic variables underlying autoimmunity in general
It has increasingly become clear that autoimmune diseases can cluster both in individuals, as well as in families. We have shown previously, using a case-control design that relatives of patients with JIA have increased prevalence of several autoimmune diseases, especially autoimmune thyroid disease . Others have found increased prevalence of autoimmune thyroid disease or celiac disease in patients with JIA [108–110]. Prevalence of T1DM is also increased in children with JIA[23, 111]. Together these studies suggest that clinically distinct autoimmune phenotypes cluster in individuals and families. This supports the hypothesis that common genetic factors might predispose to clinically distinct autoimmune phenotypes.
There are now several concrete examples of genetic variants that influence susceptibility to multiple clinically distinct autoimmune disorders. For instance, a SNP in the CTLA4 gene, CT60, has been found to be associated with autoimmune thyroiditis, and T1DM. The same variant has been found to be associated with RA in a meta-analyses . However, this SNP does not appear to play a major role in susceptibility to RF-negative RA or JIA[65, 113]. A PTPN22 variant has also been associated with multiple autoimmune diseases including RA, SLE, T1DM and JIA. Similarly there are other genetic variants that are associated with multiple autoimmune diseases (Table 5). For instance variants in TNFA appear to be associated with RA, JIA, and SLE. Variants in CCR5 appear to be protective against both RA and JIA [78, 79, 114]. Similarly, IL23R variants seems to be associated with IBD, Psoriasis and AS, but not with RA [97, 101, 115–117]. Together, these examples suggest that genetic variants which underlie susceptibility to other autoimmune phenotypes could also potentially be involved in JIA susceptibility. This hypothesis was tested by Thomson et al, who tested IL2RA variants associated with both RA and T1DM in children with JIA. IL2RA variants were also associated with JIA. These results suggest that investigating genetic variants demonstrating association with multiple autoimmune phenotypes in JIA cohorts might be an attractive approach to find JIA susceptibility genes.
In summary, JIA appears to be influenced by genetic factors, both within and outside the HLA region. While many of the HLA associations have been replicated in independent cohorts, only a few of the non-HLA associations have been replicated. The major reason for non-replication appears to be insufficient power. Advances such as genome-wide association studies and collaborative efforts are likely to result in the discovery of new genetic associations, as well as validate (or refute) some of the previously described associations. Finally understanding how a genetic variant associated with JIA and/or other autoimmune diseases influences disease susceptibility is essential to translating findings from the lab to the care of children with JIA.
Ravelli A, Martini A: Juvenile idiopathic arthritis. Lancet. 2007, 369 (9563): 767-778. 10.1016/S0140-6736(07)60363-8.
Petty RE, Southwood TR, Manners P, Baum J, Glass DN, Goldenberg J, He X, Maldonado-Cocco J, Orozco-Alcala J, Prieur AM, Suarez-Almazor ME, Woo P: International League of Associations for Rheumatology classification of juvenile idiopathic arthritis: second revision, Edmonton, 2001. J Rheumatol. 2004, 31 (2): 390-392.
Prahalad S, Glass DN: Is juvenile rheumatoid arthritis/juvenile idiopathic arthritis different from rheumatoid arthritis?. Arthritis Res. 2002, 4: 303-310. 10.1186/ar594.
Silverman ED, Isacovics B, Petsche D, Laxer RM: Synovial fluid cells in juvenile arthritis: evidence of selective T cell migration to inflamed tissue. Clin Exp Immunol. 1993, 91 (1): 90-95.
Konttinen YT, Bergroth V, Kunnamo I, Haapasaari J: The value of biopsy in patients with monarticular juvenile rheumatoid arthritis of recent onset. Arthritis Rheum. 1986, 29 (1): 47-53. 10.1002/art.1780290107.
Forre O, Dobloug JH, Natvig JB: Augmented numbers of HLA-DR-positive T lymphocytes in the synovial fluid and synovial tissue of patients with rheumatoid arthritis and juvenile rheumatoid arthritis: in vivo-activated T lymphocytes are potent stimulators in the mixed lymphocyte reaction. Scand J Immunol. 1982, 15 (2): 227-231. 10.1111/j.1365-3083.1982.tb00643.x.
Wedderburn LR, Robinson N, Patel A, Varsani H, Woo P: Selective recruitment of polarized T cells expressing CCR5 and CXCR3 to the inflamed joints of children with juvenile idiopathic arthritis. Arthritis Rheum. 2000, 43 (4): 765-774. 10.1002/1529-0131(200004)43:4<765::AID-ANR7>3.0.CO;2-B.
Wedderburn LR, Woo P: Type 1 and type 2 immune responses in children: their relevance in juvenile arthritis. Springer Semin Immunopathol. 1999, 21 (3): 361-374.
Thompson SD, Luyrink LK, Graham TB, Tsoras M, Ryan M, Passo MH, Glass DN: Chemokine receptor CCR4 on CD4+ T cells in juvenile rheumatoid arthritis synovial fluid defines a subset of cells with increased IL-4:IFN-gamma mRNA ratios. J Immunol. 2001, 166 (11): 6899-6906.
Romagnani S: Th1 and Th2 in human diseases. Clin Immunol Immunopathol. 1996, 80 (3 Pt 1): 225-235. 10.1006/clin.1996.0118.
Schlaak JF, Buslau M, Jochum W, Hermann E, Girndt M, Gallati H, Meyer zum Buschenfelde KH, Fleischer B: T cells involved in psoriasis vulgaris belong to the Th1 subset. The Journal of investigative dermatology. 1994, 102 (2): 145-149. 10.1111/1523-1747.ep12371752.
Eberhard BA, Laxer RM, Andersson U, Silverman ED: Local synthesis of both macrophage and T cell cytokines by synovial fluid cells from children with juvenile rheumatoid arthritis. Clin Exp Immunol. 1994, 96 (2): 260-266.
Murray KJ, Grom AA, Thompson SD, Lieuwen D, Passo MH, Glass DN: Contrasting cytokine profiles in the synovium of different forms of juvenile rheumatoid arthritis and juvenile spondyloarthropathy: prominence of interleukin 4 in restricted disease. J Rheumatol. 1998, 25 (7): 1388-1398.
Ozen S, Tucker LB, Miller LC: Identification of Th subsets in juvenile rheumatoid arthritis confirmed by intracellular cytokine staining. J Rheumatol. 1998, 25 (8): 1651-1653.
Gattorno M, Facchetti P, Ghiotto F, Vignola S, Buoncompagni A, Prigione I, Picco P, Pistoia V: Synovial fluid T cell clones from oligoarticular juvenile arthritis patients display a prevalent Th1/Th0-type pattern of cytokine secretion irrespective of immunophenotype. Clin Exp Immunol. 1997, 109 (1): 4-11. 10.1046/j.1365-2249.1997.4331330.x.
Prahalad S, Martins TB, Tebo AE, Whiting A, Clifford B, Zeft AS, McNally B, Bohnsack JF, Hill HR: Elevated serum levels of soluble CD154 in children with juvenile idiopathic arthritis. Pediatric rheumatology online journal. 2008, 6 (1): 8-10.1186/1546-0096-6-8.
Jarvis JN, Petty HR, Tang Y, Frank MB, Tessier PA, Dozmorov I, Jiang K, Kindzelski A, Chen Y, Cadwell C, Turner M, Szodoray P, McGhee JL, Centola M: Evidence for chronic, peripheral activation of neutrophils in polyarticular juvenile rheumatoid arthritis. Arthritis Res Ther. 2006, 8 (5): R154-10.1186/ar2048.
Prahalad S: Genetic analysis of juvenile rheumatoid arthritis: approaches to complex traits. Curr Probl Pediatr Adolesc Health Care. 2006, 36 (3): 83-90. 10.1016/j.cppeds.2005.10.009.
Prahalad S, Ryan MH, Shear ES, Thompson SD, Glass DN, Giannini EH: Twins concordant for juvenile rheumatoid arthritis. Arthritis Rheum. 2000, 43 (11): 2611-2612. 10.1002/1529-0131(200011)43:11<2611::AID-ANR33>3.0.CO;2-T.
Moroldo MB, Chaudhari M, Shear E, Thompson SD, Glass DN, Giannini EH: Juvenile rheumatoid arthritis affected sibpairs: extent of clinical phenotype concordance. Arthritis Rheum. 2004, 50 (6): 1928-1934. 10.1002/art.20292.
Moroldo MB, Tague BL, Shear ES, Glass DN, Giannini EH: Juvenile rheumatoid arthritis in affected sibpairs. Arthritis Rheum. 1997, 40 (11): 1962-1966. 10.1002/art.1780401107.
Glass DN, Giannini EH: Juvenile rheumatoid arthritis as a complex genetic trait. Arthritis Rheum. 1999, 42 (11): 2261-2268. 10.1002/1529-0131(199911)42:11<2261::AID-ANR1>3.0.CO;2-P.
Prahalad S, O'Brien E, Fraser AM, Kerber RA, Mineau GP, Pratt D, Donaldson D, Bamshad MJ, Bohnsack J: Familial aggregation of juvenile idiopathic arthritis. Arthritis Rheum. 2004, 50 (12): 4022-4027. 10.1002/art.20677.
Lander ES, Schork NJ: Genetic dissection of complex traits [published erratum appears in Science 1994 Oct 21;266(5184):353]. Science. 1994, 265 (5181): 2037-2048. 10.1126/science.8091226.
Schork NJ: Genetics of complex disease: approaches, problems, and solutions. Am J Respir Crit Care Med. 1997, 156 (4 Pt 2): S103-9.
Prahalad S, Shear ES, Thompson SD, Giannini EH, Glass DN: Increased prevalence of familial autoimmunity in simplex and multiplex families with juvenile rheumatoid arthritis. Arthritis Rheum. 2002, 46 (7): 1851-1856. 10.1002/art.10370.
Zeft A, Shear ES, Thompson SD, Glass DN, Prahalad S: Familial autoimmunity: maternal parent-of-origin effect in juvenile idiopathic arthritis. Clin Rheumatol. 2007
Prahalad S, Ryan MH, Shear ES, Thompson SD, Giannini EH, Glass DN: Juvenile rheumatoid arthritis: linkage to HLA demonstrated by allele sharing in affected sibpairs. Arthritis Rheum. 2000, 43 (10): 2335-2338. 10.1002/1529-0131(200010)43:10<2335::AID-ANR22>3.0.CO;2-W.
A haplotype map of the human genome. Nature. 2005, 437 (7063): 1299-1320. 10.1038/nature04226.
Cardon LR, Bell JI: Association study designs for complex diseases. Nat Rev Genet. 2001, 2 (2): 91-99. 10.1038/35052543.
Tabor HK, Risch NJ, Myers RM: Opinion: Candidate-gene approaches for studying complex genetic traits: practical considerations. Nat Rev Genet. 2002, 3 (5): 391-397. 10.1038/nrg796.
Jorde LB: Linkage disequilibrium and the search for complex disease genes. Genome Res. 2000, 10 (10): 1435-1444. 10.1101/gr.144500.
Phelan JD, Thompson SD, Glass DN: Susceptibility to JRA/JIA: complementing general autoimmune and arthritis traits. Genes Immun. 2006, 7 (1): 1-10. 10.1038/sj.gene.6364273.
Prahalad S: Genetics of juvenile idiopathic arthritis: an update. Curr Opin Rheumatol. 2004, 16 (5): 588-594. 10.1097/01.bor.0000134407.48586.b0.
Rosen P, Thompson S, Glass D: Non-HLA gene polymorphisms in juvenile rheumatoid arthritis. Clin Exp Rheumatol. 2003, 21 (5): 650-656.
Forre O, Smerdel A: Genetic epidemiology of juvenile idiopathic arthritis. Scand J Rheumatol. 2002, 31 (3): 123-128. 10.1080/713798345.
Thomson W, Donn R: Juvenile idiopathic arthritis genetics - what's new? What's next?. Arthritis Res. 2002, 4 (5): 302-306. 10.1186/ar591.
Brunner HI, Ivaskova E, Haas JP, Andreas A, Keller E, Hoza J, Havelka S, Scholz S, Sierp G, Albert ED: Class I associations and frequencies of class II HLA-DRB alleles by RFLP analysis in children with rheumatoid-factor-negative juvenile chronic arthritis. Rheumatol Int. 1993, 13 (2): 83-88. 10.1007/BF00307739.
Murray KJ, Moroldo MB, Donnelly P, Prahalad S, Passo MH, Giannini EH, Glass DN: Age-specific effects of juvenile rheumatoid arthritis-associated HLA alleles. Arthritis Rheum. 1999, 42 (9): 1843-1853. 10.1002/1529-0131(199909)42:9<1843::AID-ANR8>3.0.CO;2-M.
Rachelefsky GS, Terasaki PI, Katz R, Stiehm ER: Increased prevalence of W27 in juvenile rheumatoid arthritis. N Engl J Med. 1974, 290 (16): 892-893.
Thomson W, Barrett JH, Donn R, Pepper L, Kennedy LJ, Ollier WE, Silman AJ, Woo P, Southwood T: Juvenile idiopathic arthritis classified by the ILAR criteria: HLA associations in UK patients. Rheumatology (Oxford). 2002, 41 (10): 1183-1189. 10.1093/rheumatology/41.10.1183.
Forre O, Dobloug JH, Hoyeraal HM, Thorsby E: HLA antigens in juvenile arthritis. Genetic basis for the different subtypes. Arthritis Rheum. 1983, 26 (1): 35-38. 10.1002/art.1780260106.
Moroldo MB, Donnelly P, Saunders J, Glass DN, Giannini EH: Transmission disequilibrium as a test of linkage and association between HLA alleles and pauciarticular-onset juvenile rheumatoid arthritis. Arthritis Rheum. 1998, 41 (9): 1620-1624. 10.1002/1529-0131(199809)41:9<1620::AID-ART12>3.0.CO;2-L.
Ploski R, Vinje O, Ronningen KS, Spurkland A, Sorskaar D, Vartdal F, Forre O: HLA class II alleles and heterogeneity of juvenile rheumatoid arthritis. DRB1*0101 may define a novel subset of the disease. Arthritis Rheum. 1993, 36 (4): 465-472. 10.1002/art.1780360406.
Date Y, Seki N, Kamizono S, Higuchi T, Hirata T, Miyata K, Ohkuni M, Tatsuzawa O, Yokota S, Joo K, Ueda K, Sasazuki T, Kimura A, Itoh K, Kato H: Identification of a genetic risk factor for systemic juvenile rheumatoid arthritis in the 5'-flanking region of the TNFalpha gene and HLA genes. Arthritis Rheum. 1999, 42 (12): 2577-2582. 10.1002/1529-0131(199912)42:12<2577::AID-ANR10>3.0.CO;2-O.
Murray K, Thompson SD, Glass DN: Pathogenesis of juvenile chronic arthritis: genetic and environmental factors. Archives of disease in childhood. 1997, 77 (6): 530-534.
Veit TD, Vianna P, Scheibel I, Brenol C, Brenol JC, Xavier RM, Delgado-Canedo A, Gutierrez JE, Brandalize AP, Schuler-Faccini L, Chies JA: Association of the HLA-G 14-bp insertion/deletion polymorphism with juvenile idiopathic arthritis and rheumatoid arthritis. Tissue Antigens. 2008, 71 (5): 440-446. 10.1111/j.1399-0039.2008.01019.x.
Prahalad S: Subtype-specific outcomes in juvenile idiopathic arthritis: a systematic review. Current Medical Literature: Rheumatology. 2006, 25 (1): 1-9.
Potter C, Eyre S, Cope A, Worthington J, Barton A: Investigation of association between the TRAF family genes and RA susceptibility. Ann Rheum Dis. 2007, 66 (10): 1322-1326. 10.1136/ard.2006.065706.
Malysheva O, Pierer M, Wagner U, Wahle M, Wagner U, Baerwald C: Association between ss2-adrenergic receptor polymorphisms and rheumatoid arthritis in conjunction with HLA-DRB1 shared epitope. Ann Rheum Dis. 2008
Janssens AC, Gwinn M, Bradley LA, Oostra BA, van Duijn CM, Khoury MJ: A critical appraisal of the scientific basis of commercial genomic profiles used to assess health risks and personalize health interventions. Am J Hum Genet. 2008, 82 (3): 593-599. 10.1016/j.ajhg.2007.12.020.
Khoury MJ, Little J, Gwinn M, Ioannidis JP: On the synthesis and interpretation of consistent but weak gene-disease associations in the era of genome-wide association studies. International journal of epidemiology. 2007, 36 (2): 439-445. 10.1093/ije/dyl253.
Campbell H, Manolio T: Commentary: rare alleles, modest genetic effects and the need for collaboration. International journal of epidemiology. 2007, 36 (2): 445-448. 10.1093/ije/dym055.
Chanock SJ, Manolio T, Boehnke M, Boerwinkle E, Hunter DJ, Thomas G, Hirschhorn JN, Abecasis G, Altshuler D, Bailey-Wilson JE, Brooks LD, Cardon LR, Daly M, Donnelly P, Fraumeni JF, Freimer NB, Gerhard DS, Gunter C, Guttmacher AE, Guyer MS, Harris EL, Hoh J, Hoover R, Kong CA, Merikangas KR, Morton CC, Palmer LJ, Phimister EG, Rice JP, Roberts J, Rotimi C, Tucker MA, Vogan KJ, Wacholder S, Wijsman EM, Winn DM, Collins FS: Replicating genotype-phenotype associations. Nature. 2007, 447 (7145): 655-660. 10.1038/447655a.
Little J, Bradley L, Bray MS, Clyne M, Dorman J, Ellsworth DL, Hanson J, Khoury M, Lau J, O'Brien TR, Rothman N, Stroup D, Taioli E, Thomas D, Vainio H, Wacholder S, Weinberg C: Reporting, appraising, and integrating data on genotype prevalence and gene-disease associations. Am J Epidemiol. 2002, 156 (4): 300-310.
Epplen C, Rumpf H, Albert E, Haas P, Truckenbrodt H, Epplen JT: Immunoprinting excludes many potential susceptibility genes as predisposing to early onset pauciarticular juvenile chronic arthritis except HLA class II and TNF. Eur J Immunogenet. 1995, 22 (4): 311-322. 10.1111/j.1744-313X.1995.tb00247.x.
Zeggini E, Thomson W, Kwiatkowski D, Richardson A, Ollier W, Donn R: Linkage and association studies of single-nucleotide polymorphism-tagged tumor necrosis factor haplotypes in juvenile oligoarthritis. Arthritis Rheum. 2002, 46 (12): 3304-3311. 10.1002/art.10698.
Schmeling H, Wagner U, Peterson A, Horneff G: Tumor necrosis factor alpha promoter polymorphisms in patients with juvenile idiopathic arthritis. Clin Exp Rheumatol. 2006, 24 (1): 103-108.
Miterski B, Drynda S, Boschow G, Klein W, Oppermann J, Kekow J, Epplen JT: Complex genetic predisposition in adult and juvenile rheumatoid arthritis. BMC genetics. 2004, 5 (1): 2-10.1186/1471-2156-5-2.
Donn R, Alourfi Z, De Benedetti F, Meazza C, Zeggini E, Lunt M, Stevens A, Shelley E, Lamb R, Ollier WE, Thomson W, Ray D: Mutation screening of the macrophage migration inhibitory factor gene: positive association of a functional polymorphism of macrophage migration inhibitory factor with juvenile idiopathic arthritis. Arthritis Rheum. 2002, 46 (9): 2402-2409. 10.1002/art.10492.
Donn R, Alourfi Z, Zeggini E, Lamb R, Jury F, Lunt M, Meazza C, De Benedetti F, Thomson W, Ray D: A functional promoter haplotype of macrophage migration inhibitory factor is linked and associated with juvenile idiopathic arthritis. Arthritis Rheum. 2004, 50 (5): 1604-1610. 10.1002/art.20178.
Berdeli A, Ozyurek AR, Ulger Z, Gurses D, Levent E, Salar K, Gurpinar AR: Association of macrophage migration inhibitory factor gene -173 G/C polymorphism with prognosis in Turkish children with juvenile rheumatoid arthritis. Rheumatol Int. 2006, 26 (8): 726-731. 10.1007/s00296-005-0062-7.
De Benedetti F, Meazza C, Vivarelli M, Rossi F, Pistorio A, Lamb R, Lunt M, Thomson W, Ravelli A, Donn R, Martini A: Functional and prognostic relevance of the -173 polymorphism of the macrophage migration inhibitory factor gene in systemic-onset juvenile idiopathic arthritis. Arthritis Rheum. 2003, 48 (5): 1398-1407. 10.1002/art.10882.
Vivarelli M, D'Urbano LE, Insalaco A, Lunt M, Jury F, Tozzi AE, Ravelli A, Martini A, Donn R, De Benedetti F: Macrophage migration inhibitory factor (MIF) and oligoarticular juvenile idiopathic arthritis (o-JIA): association of MIF promoter polymorphisms with response to intra-articular glucocorticoids. Clin Exp Rheumatol. 2007, 25 (5): 775-781.
Plenge RM, Padyukov L, Remmers EF, Purcell S, Lee AT, Karlson EW, Wolfe F, Kastner DL, Alfredsson L, Altshuler D, Gregersen PK, Klareskog L, Rioux JD: Replication of putative candidate-gene associations with rheumatoid arthritis in >4,000 samples from North America and Sweden: association of susceptibility with PTPN22, CTLA4, and PADI4. Am J Hum Genet. 2005, 77 (6): 1044-1060. 10.1086/498651.
Sanjeevi CB, Miller EN, Dabadghao P, Rumba I, Shtauvere A, Denisova A, Clayton D, Blackwell JM: Polymorphism at NRAMP1 and D2S1471 loci associated with juvenile rheumatoid arthritis. Arthritis Rheum. 2000, 43 (6): 1397-1404. 10.1002/1529-0131(200006)43:6<1397::AID-ANR25>3.0.CO;2-6.
Runstadler JA, Saila H, Savolainen A, Leirisalo-Repo M, Aho K, Tuomilehto-Wolf E, Tuomilehto J, Seldin MF: Association of SLC11A1 (NRAMP1) with persistent oligoarticular and polyarticular rheumatoid factor-negative juvenile idiopathic arthritis in Finnish patients: haplotype analysis in Finnish families. Arthritis Rheum. 2005, 52 (1): 247-256. 10.1002/art.20772.
McDowell TL, Symons JA, Ploski R, Forre O, Duff GW: A genetic association between juvenile rheumatoid arthritis and a novel interleukin-1 alpha polymorphism. Arthritis Rheum. 1995, 38 (2): 221-228. 10.1002/art.1780380210.
Donn RP, Barrett JH, Farhan A, Stopford A, Pepper L, Shelley E, Davies N, Ollier WE, Thomson W: Cytokine gene polymorphisms and susceptibility to juvenile idiopathic arthritis. British Paediatric Rheumatology Study Group. Arthritis Rheum. 2001, 44 (4): 802-810. 10.1002/1529-0131(200104)44:4<802::AID-ANR136>3.0.CO;2-G.
Donn RP, Farhan AJ, Barrett JH, Thomson W, Worthington J, Ollier WE: Absence of association between interleukin 1 alpha and oligoarticular juvenile chronic arthritis in UK patients. Rheumatology (Oxford). 1999, 38 (2): 171-175. 10.1093/rheumatology/38.2.171.
Stock CJ, Ogilvie EM, Samuel JM, Fife M, Lewis CM, Woo P: Comprehensive association study of genetic variants in the IL-1 gene family in systemic juvenile idiopathic arthritis. Genes Immun. 2008, 9 (4): 349-357. 10.1038/gene.2008.24.
Lepore L, Pennesi M, Saletta S, Perticarari S, Presani G, Prodan M: Study of IL-2, IL-6, TNF alpha, IFN gamma and beta in the serum and synovial fluid of patients with juvenile chronic arthritis. Clin Exp Rheumatol. 1994, 12 (5): 561-565.
Madson KL, Moore TL, Lawrence JM, Osborn TG: Cytokine levels in serum and synovial fluid of patients with juvenile rheumatoid arthritis. J Rheumatol. 1994, 21 (12): 2359-2363.
De Benedetti F, Robbioni P, Massa M, Viola S, Albani S, Martini A: Serum interleukin-6 levels and joint involvement in polyarticular and pauciarticular juvenile chronic arthritis. Clin Exp Rheumatol. 1992, 10 (5): 493-498.
Fishman D, Faulds G, Jeffery R, Mohamed-Ali V, Yudkin JS, Humphries S, Woo P: The effect of novel polymorphisms in the interleukin-6 (IL-6) gene on IL-6 transcription and plasma IL-6 levels, and an association with systemic-onset juvenile chronic arthritis. J Clin Invest. 1998, 102 (7): 1369-1376. 10.1172/JCI2629.
Ogilvie EM, Fife MS, Thompson SD, Twine N, Tsoras M, Moroldo M, Fisher SA, Lewis CM, Prieur AM, Glass DN, Woo P: The -174G allele of the interleukin-6 gene confers susceptibility to systemic arthritis in children: a multicenter study using simplex and multiplex juvenile idiopathic arthritis families. Arthritis Rheum. 2003, 48 (11): 3202-3206. 10.1002/art.11300.
Lamb R, Thomson W, Ogilvie E, Donn R: Wnt-1-inducible signaling pathway protein 3 and susceptibility to juvenile idiopathic arthritis. Arthritis Rheum. 2005, 52 (11): 3548-3553. 10.1002/art.21392.
Prahalad S: Negative association between the chemokine receptor CCR5-Delta32 polymorphism and rheumatoid arthritis: a meta-analysis. Genes Immun. 2006, 7 (3): 264-268. 10.1038/sj.gene.6364298.
Prahalad S, Bohnsack JF, Jorde LB, Whiting A, Clifford B, Dunn D, Weiss R, Moroldo M, Thompson SD, Glass DN, Bamshad MJ: Association of two functional polymorphisms in the CCR5 gene with juvenile rheumatoid arthritis. Genes Immun. 2006, 7 (6): 468-475. 10.1038/sj.gene.6364317.
Lindner E, Nordang GB, Melum E, Flato B, Selvaag AM, Thorsby E, Kvien TK, Forre OT, Lie BA: Lack of association between the chemokine receptor 5 polymorphism CCR5delta32 in rheumatoid arthritis and juvenile idiopathic arthritis. BMC Med Genet. 2007, 8: 33-10.1186/1471-2350-8-33.
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). 2007, 46: 49-56. 10.1093/rheumatology/kel170.
Begovich AB, Carlton VE, Honigberg LA, Schrodi SJ, Chokkalingam AP, Alexander HC, Ardlie KG, Huang Q, Smith AM, Spoerke JM, Conn MT, Chang M, Chang SY, Saiki RK, Catanese JJ, Leong DU, Garcia VE, McAllister LB, Jeffery DA, Lee AT, Batliwalla F, Remmers E, Criswell LA, Seldin MF, Kastner DL, Amos CI, Sninsky JJ, Gregersen PK: A missense single-nucleotide polymorphism in a gene encoding a protein tyrosine phosphatase (PTPN22) is associated with rheumatoid arthritis. Am J Hum Genet. 2004, 75 (2): 330-337. 10.1086/422827.
Bottini N, Vang T, Cucca F, Mustelin T: Role of PTPN22 in type 1 diabetes and other autoimmune diseases. Semin Immunol. 2006
Hinks A, Barton A, John S, Bruce I, Hawkins C, Griffiths CE, Donn R, Thomson W, Silman A, Worthington J: Association between the PTPN22 gene and rheumatoid arthritis and juvenile idiopathic arthritis in a UK population: further support that PTPN22 is an autoimmunity gene. Arthritis Rheum. 2005, 52 (6): 1694-1699. 10.1002/art.21049.
Seldin MF, Shigeta R, Laiho K, Li H, Saila H, Savolainen A, Leirisalo-Repo M, Aho K, Tuomilehto-Wolf E, Kaarela K, Kauppi M, Alexander HC, Begovich AB, Tuomilehto J: Finnish case-control and family studies support PTPN22 R620W polymorphism as a risk factor in rheumatoid arthritis, but suggest only minimal or no effect in juvenile idiopathic arthritis. Genes Immun. 2005, 6 (8): 720-722.
Viken MK, Amundsen SS, Kvien TK, Boberg KM, Gilboe IM, Lilleby V, Sollid LM, Forre OT, Thorsby E, Smerdel A, Lie BA: Association analysis of the 1858C>T polymorphism in the PTPN22 gene in juvenile idiopathic arthritis and other autoimmune diseases. Genes Immun. 2005, 6 (3): 271-273. 10.1038/sj.gene.6364178.
Cinek O, Hradsky O, Ahmedov G, Slavcev A, Kolouskova S, Kulich M, Sumnik Z: No independent role of the -1123 G>C and+2740 A>G variants in the association of PTPN22 with type 1 diabetes and juvenile idiopathic arthritis in two Caucasian populations. Diabetes research and clinical practice. 2007, 76 (2): 297-303. 10.1016/j.diabres.2006.09.009.
Hadchouel M, Prieur AM, Griscelli C: Acute hemorrhagic, hepatic, and neurologic manifestations in juvenile rheumatoid arthritis: possible relationship to drugs or infection. J Pediatr. 1985, 106 (4): 561-566. 10.1016/S0022-3476(85)80072-X.
Hazen MM, Woodward AL, Hofmann I, Degar BA, Grom A, Filipovich AH, Binstadt BA: Mutations of the hemophagocytic lymphohistiocytosis-associated gene UNC13D in a patient with systemic juvenile idiopathic arthritis. Arthritis Rheum. 2008, 58 (2): 567-570. 10.1002/art.23199.
Grom AA, Villanueva J, Lee S, Goldmuntz EA, Passo MH, Filipovich A: Natural killer cell dysfunction in patients with systemic-onset juvenile rheumatoid arthritis and macrophage activation syndrome. J Pediatr. 2003, 142 (3): 292-296. 10.1067/mpd.2003.110.
Villanueva J, Lee S, Giannini EH, Graham TB, Passo MH, Filipovich A, Grom AA: Natural killer cell dysfunction is a distinguishing feature of systemic onset juvenile rheumatoid arthritis and macrophage activation syndrome. Arthritis Res Ther. 2005, 7 (1): R30-7. 10.1186/ar1453.
Vastert B, Van Wijk R, D'Urbano LE, De Vooght K, Ravelli A, Cortis E, Hoppenreijs EP, Van Solinge W, Prakken B, Wulffraat N, De Benedetti F, Kuis W: Mutations in the perforin gene may be linked to macrophage activation syndrome in pateints with systemic onset juvenile idiopathic arthritis. Turkish Journal of Pediatrics. 2008, 50 (Suppl) (2):
Zhang K, Biroschak J, Glass D, Thompson SD, Finkel T, Passo M, Binstadt BA, Filipovich A, Grom A: Macrophage activation syndrome in systemic juvenile idiopathic arthritis is associated with MUNC13-14 gene polymorphisms. Arthritis Rheum. 2008, In press:
Behrens EM, Beukelman T, Paessler M, Cron RQ: Occult macrophage activation syndrome in patients with systemic juvenile idiopathic arthritis. J Rheumatol. 2007, 34 (5): 1133-1138.
Donn R, Ellison S, Lamb R, Day T, Baildam E, Ramanan AV: Genetic loci contributing to hemophagocytic lymphohistiocytosis do not confer susceptibility to systemic-onset juvenile idiopathic arthritis. Arthritis Rheum. 2008, 58 (3): 869-874. 10.1002/art.23270.
Thompson SD, Moroldo MB, Guyer L, Ryan M, Tombragel EM, Shear ES, Prahalad S, Sudman M, Keddache MA, Brown WM, Giannini EH, Langefeld CD, Rich SS, Nichols WC, Glass DN: A genome-wide scan for juvenile rheumatoid arthritis in affected sibpair families provides evidence of linkage. Arthritis Rheum. 2004, 50 (9): 2920-2930. 10.1002/art.20425.
Duerr RH, Taylor KD, Brant SR, Rioux JD, Silverberg MS, Daly MJ, Steinhart AH, Abraham C, Regueiro M, Griffiths A, Dassopoulos T, Bitton A, Yang H, Targan S, Datta LW, Kistner EO, Schumm LP, Lee AT, Gregersen PK, Barmada MM, Rotter JI, Nicolae DL, Cho JH: A genome-wide association study identifies IL23R as an inflammatory bowel disease gene. Science. 2006, 314 (5804): 1461-1463. 10.1126/science.1135245.
Smyth DJ, Cooper JD, Bailey R, Field S, Burren O, Smink LJ, Guja C, Ionescu-Tirgoviste C, Widmer B, Dunger DB, Savage DA, Walker NM, Clayton DG, Todd JA: A genome-wide association study of nonsynonymous SNPs identifies a type 1 diabetes locus in the interferon-induced helicase (IFIH1) region. Nat Genet. 2006, 38 (6): 617-619. 10.1038/ng1800.
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature. 2007, 447 (7145): 661-678. 10.1038/nature05911.
Rioux JD, Xavier RJ, Taylor KD, Silverberg MS, Goyette P, Huett A, Green T, Kuballa P, Barmada MM, Datta LW, Shugart YY, Griffiths AM, Targan SR, Ippoliti AF, Bernard EJ, Mei L, Nicolae DL, Regueiro M, Schumm LP, Steinhart AH, Rotter JI, Duerr RH, Cho JH, Daly MJ, Brant SR: Genome-wide association study identifies new susceptibility loci for Crohn disease and implicates autophagy in disease pathogenesis. Nat Genet. 2007, 39 (5): 596-604. 10.1038/ng2032.
Burton PR, Clayton DG, Cardon LR, Craddock N, Deloukas P, Duncanson A, Kwiatkowski DP, McCarthy MI, Ouwehand WH, Samani NJ, Todd JA, Donnelly P, Barrett JC, Davison D, Easton D, Evans DM, Leung HT, Marchini JL, Morris AP, Spencer CC, Tobin MD, Attwood AP, Boorman JP, Cant B, Everson U, Hussey JM, Jolley JD, Knight AS, Koch K, Meech E, Nutland S, Prowse CV, Stevens HE, Taylor NC, Walters GR, Walker NM, Watkins NA, Winzer T, Jones RW, McArdle WL, Ring SM, Strachan DP, Pembrey M, Breen G, St Clair D, Caesar S, Gordon-Smith K, Jones L, Fraser C, Green EK, Grozeva D, Hamshere ML, Holmans PA, Jones IR, Kirov G, Moskivina V, Nikolov I, O'Donovan MC, Owen MJ, Collier DA, Elkin A, Farmer A, Williamson R, McGuffin P, Young AH, Ferrier IN, Ball SG, Balmforth AJ, Barrett JH, Bishop TD, Iles MM, Maqbool A, Yuldasheva N, Hall AS, Braund PS, Dixon RJ, Mangino M, Stevens S, Thompson JR, Bredin F, Tremelling M, Parkes M, Drummond H, Lees CW, Nimmo ER, Satsangi J, Fisher SA, Forbes A, Lewis CM, Onnie CM, Prescott NJ, Sanderson J, Matthew CG, Barbour J, Mohiuddin MK, Todhunter CE, Mansfield JC, Ahmad T, Cummings FR, Jewell DP, Webster J, Brown MJ, Lathrop MG, Connell J, Dominiczak A, Marcano CA, Burke B, Dobson R, Gungadoo J, Lee KL, Munroe PB, Newhouse SJ, Onipinla A, Wallace C, Xue M, Caulfield M, Farrall M, Barton A, Bruce IN, Donovan H, Eyre S, Gilbert PD, Hilder SL, Hinks AM, John SL, Potter C, Silman AJ, Symmons DP, Thomson W, Worthington J, Dunger DB, Widmer B, Frayling TM, Freathy RM, Lango H, Perry JR, Shields BM, Weedon MN, Hattersley AT, Hitman GA, Walker M, Elliott KS, Groves CJ, Lindgren CM, Rayner NW, Timpson NJ, Zeggini E, Newport M, Sirugo G, Lyons E, Vannberg F, Hill AV, Bradbury LA, Farrar C, Pointon JJ, Wordsworth P, Brown MA, Franklyn JA, Heward JM, Simmonds MJ, Gough SC, Seal S, Stratton MR, Rahman N, Ban M, Goris A, Sawcer SJ, Compston A, Conway D, Jallow M, Newport M, Sirugo G, Rockett KA, Bumpstead SJ, Chaney A, Downes K, Ghori MJ, Gwilliam R, Hunt SE, Inouye M, Keniry A, King E, McGinnis R, Potter S, Ravindrarajah R, Whittaker P, Widden C, Withers D, Cardin NJ, Davison D, Ferreira T, Pereira-Gale J, Hallgrimsdo'ttir IB, Howie BN, Su Z, Teo YY, Vukcevic D, Bentley D, Brown MA, Compston A, Farrall M, Hall AS, Hattersley AT, Hill AV, Parkes M, Pembrey M, Stratton MR, Mitchell SL, Newby PR, Brand OJ, Carr-Smith J, Pearce SH, McGinnis R, Keniry A, Deloukas P, Reveille JD, Zhou X, Sims AM, Dowling A, Taylor J, Doan T, Davis JC, Savage L, Ward MM, Learch TL, Weisman MH, Brown M: Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants. Nat Genet. 2007, 39 (11): 1329-1337. 10.1038/ng.2007.17.
Plenge RM, Cotsapas C, Davies L, Price AL, de Bakker PI, Maller J, Pe'er I, Burtt NP, Blumenstiel B, Defelice M, Parkin M, Barry R, Winslow W, Healy C, Graham RR, Neale BM, Izmailova E, Roubenoff R, Parker AN, Glass R, Karlson EW, Maher N, Hafler DA, Lee DM, Seldin MF, Remmers EF, Lee AT, Padyukov L, Alfredsson L, Coblyn J, Weinblatt ME, Gabriel SB, Purcell S, Klareskog L, Gregersen PK, Shadick NA, Daly MJ, Altshuler D: Two independent alleles at 6q23 associated with risk of rheumatoid arthritis. Nat Genet. 2007
Kurreeman FA, Padyukov L, Marques RB, Schrodi SJ, Seddighzadeh M, Stoeken-Rijsbergen G, van der Helm-van Mil AH, Allaart CF, Verduyn W, Houwing-Duistermaat J, Alfredsson L, Begovich AB, Klareskog L, Huizinga TW, Toes RE: A candidate gene approach identifies the TRAF1/C5 region as a risk factor for rheumatoid arthritis. PLoS medicine. 2007, 4 (9): e278-10.1371/journal.pmed.0040278.
Thomson W, Barton A, Ke X, Eyre S, Hinks A, Bowes J, Donn R, Symmons D, Hider S, Bruce IN, Wilson AG, Marinou I, Morgan A, Emery P, Carter A, Steer S, Hocking L, Reid DM, Wordsworth P, Harrison P, Strachan D, Worthington J: Rheumatoid arthritis association at 6q23. Nat Genet. 2007
John S, Hinks A, Shephard N, Turpaz Y, Cargill M, Wang E, Barton A, Eyre S, Thomson W, Kennedy G, Worthington J: A Whole Genome by Association of Chronic Inflammatory Arthritis. Arthritis Rheum. 2006, 54 (9 (Suppl)): S131-
Thompson SD, Sudman M, Marion MC, Srivastava S, Keddache MA, Langefeld CD, Glass D: High Density SNP Genome-wide Association Study in Juvenile Idiopathic Arthritis. Arthritis Rheum. 2007, 56 (9 (Suppl)): S791-
Ginn LR, Lin JP, Plotz PH, Bale SJ, Wilder RL, Mbauya A, Miller FW: Familial autoimmunity in pedigrees of idiopathic inflammatory myopathy patients suggests common genetic risk factors for many autoimmune diseases. Arthritis Rheum. 1998, 41 (3): 400-405. 10.1002/1529-0131(199803)41:3<400::AID-ART4>3.0.CO;2-5.
Mihailova D, Grigorova R, Vassileva B, Mladenova G, Ivanova N, Stephanov S, Lissitchky K, Dimova E: Autoimmune thyroid disorders in juvenile chronic arthritis and systemic lupus erythematosus. Adv Exp Med Biol. 1999, 455: 55-60.
Alpigiani MG, Cerboni M, Bertini I, d'Annunzio G, Haupt R, Iester A, Lorini R: Endocrine autoimmunity in young patients with juvenile chronic arthritis. Clin Exp Rheumatol. 2002, 20 (4): 565-568.
Stagi S, Giani T, Simonini G, Falcini F: Thyroid function, autoimmune thyroiditis and coeliac disease in juvenile idiopathic arthritis. Rheumatology (Oxford). 2005, 44 (4): 517-520. 10.1093/rheumatology/keh531.
Rudolf MC, Genel M, Tamborlane WV, Dwyer JM: Juvenile rheumatoid arthritis in children with diabetes mellitus. J Pediatr. 1981, 99 (4): 519-524. 10.1016/S0022-3476(81)80246-6.
Ueda H, Howson JM, Esposito L, Heward J, Snook H, Chamberlain G, Rainbow DB, Hunter KM, Smith AN, Di Genova G, Herr MH, Dahlman I, Payne F, Smyth D, Lowe C, Twells RC, Howlett S, Healy B, Nutland S, Rance HE, Everett V, Smink LJ, Lam AC, Cordell HJ, Walker NM, Bordin C, Hulme J, Motzo C, Cucca F, Hess JF, Metzker ML, Rogers J, Gregory S, Allahabadia A, Nithiyananthan R, Tuomilehto-Wolf E, Tuomilehto J, Bingley P, Gillespie KM, Undlien DE, Ronningen KS, Guja C, Ionescu-Tirgoviste C, Savage DA, Maxwell AP, Carson DJ, Patterson CC, Franklyn JA, Clayton DG, Peterson LB, Wicker LS, Todd JA, Gough SC: Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease. Nature. 2003, 423 (6939): 506-511. 10.1038/nature01621.
Prahalad S, Bohnsack JF, Whiting A, Clifford B, Jorde LB, Guthery SL, Thompson SD, Glass DN, Bamshad MJ: Lack of association of functional CTLA4 polymorphisms with juvenile idiopathic arthritis. Arthritis Rheum. 2008, 58 (7): 2147-2152. 10.1002/art.23602.
Pokorny V, McQueen F, Yeoman S, Merriman M, Merriman A, Harrison A, Highton J, McLean L: Evidence for negative association of the chemokine receptor CCR5 d32 polymorphism with rheumatoid arthritis. Ann Rheum Dis. 2005, 64 (3): 487-490. 10.1136/ard.2004.023333.
Cargill M, Schrodi SJ, Chang M, Garcia VE, Brandon R, Callis KP, Matsunami N, Ardlie KG, Civello D, Catanese JJ, Leong DU, Panko JM, McAllister LB, Hansen CB, Papenfuss J, Prescott SM, White TJ, Leppert MF, Krueger GG, Begovich AB: A Large-Scale Genetic Association Study Confirms IL12B and Leads to the Identification of IL23R as Psoriasis-Risk Genes. Am J Hum Genet. 2007, 80 (2): 273-390. 10.1086/511051.
Chang M, Saiki RK, Cantanese JJ, Lew D, van der Helm-van Mil AH, Toes RE, Huizinga TW, Ardlie KG, Criswell LA, Seldin MF, Amos CI, Kastner DL, Gregersen PK, Schrodi SJ, Begovich AB: The inflammatory disease-associated variants in IL12B and IL23R are not associated with rheumatoid arthritis. Arthritis Rheum. 2008, 58 (6): 1877-1881. 10.1002/art.23492.
Orozco G, Rueda B, Robledo G, Garcia A, Martin J: Investigation of the IL23R gene in a Spanish rheumatoid arthritis cohort. Hum Immunol. 2007, 68 (8): 681-684. 10.1016/j.humimm.2007.05.008.
Thomson W, Hinks A, Barton A, Ke X, Eyre S, Bowes J, Donn R, Hider S, Bruce I, Wilson AG, Morgan A, Emery P, YEAR Consortium, BSPAR group, Carter A, Steer S, Hocking L, Reid DM, Strachan D, Worthington J: Investigation in JIA of RA susceptibility SNPs Identified in the WTCCC WGAS reveals Association with IL2RA/CD25. Arthritis Rheum. 2007, 56 (9 (Suppl)): S808-
Alsaeid K, Haider MZ, Ayoub EM: Angiotensin converting enzyme gene insertion-deletion polymorphism is associated with juvenile rheumatoid arthritis. J Rheumatol. 2003, 30 (12): 2705-2709.
Schubert K, von Bonnsdorf H, Burke M, Ahlert I, Braun S, Berner R, Deichmann KA, Heinzmann A: A comprehensive candidate gene study on bronchial asthma and juvenile idiopathic arthritis. Dis Markers. 2006, 22 (3): 127-132.
Pont-Kingdon G, Lyon E: Direct molecular haplotyping by melting curve analysis of hybridization probes: beta 2-adrenergic receptor haplotypes as an example. Nucleic Acids Res. 2005, 33 (10): e89-10.1093/nar/gni090.
Arnaud P, Galbraith RM, Faulk WP: Increased frequency of the MZ phenotype of alpha-1-protease inhibitor in juvenile chronic polyarthritis. J Clin Invest. 1977, 60 (6): 1442-1444. 10.1172/JCI108906.
Donn RP, Farhan A, Stevans A, Ramanan A, Ollier WE, Thomson W: Neuroendocrine gene polymorphisms and susceptibility to juvenile idiopathic arthritis. Rheumatology (Oxford). 2002, 41 (8): 930-936. 10.1093/rheumatology/41.8.930.
Scheibel I, Veit T, Neves AG, Souza L, Prezzi S, Machado S, Kohem C, Icarelli M, Xavier R, Brenol JC, Chies JA: Differential CCR5Delta32 allelic frequencies in juvenile idiopathic arthritis subtypes: evidence for different regulatory roles of CCR5 in rheumatological diseases. Scand J Rheumatol. 2008, 37 (1): 13-17. 10.1080/03009740701631935.
Suppiah V, O'Doherty C, Heggarty S, Patterson CC, Rooney M, Vandenbroeck K: The CTLA4+49A/G and CT60 polymorphisms and chronic inflammatory arthropathies in Northern Ireland. Exp Mol Pathol. 2006, 80 (2): 141-146. 10.1016/j.yexmp.2005.09.004.
Viken MK, Sollid HD, Joner G, Dahl-Jorgensen K, Ronningen KS, Undlien DE, Flato B, Selvaag AM, Forre O, Kvien TK, Thorsby E, Melms A, Tolosa E, Lie BA: Polymorphisms in the cathepsin L2 (CTSL2) gene show association with type 1 diabetes and early-onset myasthenia gravis. Hum Immunol. 2007, 68 (9): 748-755. 10.1016/j.humimm.2007.05.009.
Zeggini E, Reginato AM, Prais A, Thomson W, McLean W, Donn R: Linkage and association studies of discoidin domain receptor 1 (DDR1) single nucleotide polymorphisms (SNPs) in juvenile oligoarthritis. Rheumatology (Oxford). 2004, 43 (9): 1138-1141. 10.1093/rheumatology/keh261.
Donn R, Zeggini E, Shelley E, Ollier W, Thomson W: Lack of association between juvenile idiopathic arthritis and fas gene polymorphism. J Rheumatol. 2002, 29 (1): 166-168.
Eike MC, Nordang GB, Karlsen TH, Boberg KM, Vatn MHATI, Dahl-Jorgensen K, Ronningen KS, Joner G, Flato B, Bergquist A, Thorsby E, Forre O, Kvien TK, Undlien DE, Lie BA: The FCRL3 -169T>C polymorphism is associated with rheumatoid arthritis and shows suggestive evidence of involvement with juvenile idiopathic arthritis in a Scandinavian panel of autoimmune diseases. Ann Rheum Dis. 2007
Eastell T, Hinks A, Thomson W: SNPs in the FOXP3 gene region show no association with Juvenile Idiopathic Arthritis in a UK Caucasian population. Rheumatology (Oxford). 2007, 46 (8): 1263-1265. 10.1093/rheumatology/kem129.
Rohr P, Veit TD, Scheibel I, Xavier RM, Brenol JC, Chies JA, Kvitko K: GSTT1, GSTM1 and GSTP1 polymorphisms and susceptibility to juvenile idiopathic arthritis. Clin Exp Rheumatol. 2008, 26 (1): 151-155.
Cinek O, Vavrincova P, Striz I, Drevinek P, Sedlakova P, Vavrinec J, Slavcev A: Association of single nucleotide polymorphisms within cytokine genes with juvenile idiopathic arthritis in the Czech population. J Rheumatol. 2004, 31 (6): 1206-1210.
Cassidy J, Petty RE, Laxer RM, Lindsley C: Textbook of Pediatric Rheumatology. 2005, Philadelphia , W.B. Saunders Company, 5th
Cimaz R, Cazalis MA, Reynaud C, Gerloni V, Zulian F, Biggioggero M, Martini G, Pontikaki I, Fantini F, Mougin B, Miossec P: IL1 and TNF gene polymorphisms in patients with juvenile idiopathic arthritis treated with TNF inhibitors. Ann Rheum Dis. 2007, 66 (7): 900-904. 10.1136/ard.2006.067454.
Vencovsky J, Jarosova K, Ruzickova S, Nemcova D, Niederlova J, Ozen S, Alikasifoglu M, Bakkaloglu A, Ollier WE, Mageed RA: Higher frequency of allele 2 of the interleukin-1 receptor antagonist gene in patients with juvenile idiopathic arthritis. Arthritis Rheum. 2001, 44 (10): 2387-2391. 10.1002/1529-0131(200110)44:10<2387::AID-ART403>3.0.CO;2-7.
Suppiah V, Rooney M, Vandenbroeck K: Polymorphisms in the interleukin-4 and IL-4 receptor genes modify risk for chronic inflammatory arthropathies in women. Exp Mol Pathol. 2006, 81 (3): 239-244. 10.1016/j.yexmp.2006.02.001.
Fife MS, Gutierrez A, Ogilvie EM, Stock CJ, Samuel JM, Thomson W, Mack LF, Lewis CM, Woo P: Novel IL10 gene family associations with systemic juvenile idiopathic arthritis. Arthritis Res Ther. 2006, 8 (5): R148-10.1186/ar2041.
Bierbaum S, Sengler C, Gerhold K, Berner R, Heinzmann A: Polymorphisms within interleukin 15 are associated with juvenile idiopathic arthritis. Clin Exp Rheumatol. 2006, 24 (2): 219-
Sugiura T, Maeno N, Kawaguchi Y, Takei S, Imanaka H, Kawano Y, Terajima-Ichida H, Hara M, Kamatani N: A promoter haplotype of the interleukin-18 gene is associated with juvenile idiopathic arthritis in the Japanese population. Arthritis Res Ther. 2006, 8 (3): R60-10.1186/ar1930.
Fife MS, Gathercole L, Ogilvie EM, Stock CJ, Mack LF, Donn RP, Thomson W, Woo P: No evidence for genetic association of interferon regulatory factor 1 in juvenile idiopathic arthritis. Arthritis Rheum. 2007, 56 (3): 972-976. 10.1002/art.22425.
Prahalad S, Kingsbury DJ, Griffin TA, Cooper BL, Glass DN, Maksymowych WP, Colbert RA: Polymorphism in the MHC-encoded LMP7 gene: association with JRA without functional significance for immunoproteasome assembly. J Rheumatol. 2001, 28 (10): 2320-2325.
Kang M, Wang HW, Cheng PX, Yin ZD, Li XO, Shi H, Hu XF: Lack of association between mannose-binding lectin gene polymorphisms and juvenile idiopathic arthritis in a Han population from the Hubei province of China. Arthritis Res Ther. 2006, 8 (4): R85-10.1186/ar1953.
Ozyurek AR, Gurses D, Ulger Z, Levent E, Bakiler AR, Berdeli A: Allelic frequency of the MCP-1 promoter -2518 polymorphism in the Turkish population and in Turkish patients with juvenile rheumatoid arthritis. Clin Rheumatol. 2007, 26 (4): 546-550. 10.1007/s10067-006-0347-6.
Ozen S, Bakkaloglu A, Yilmaz E, Duzova A, Balci B, Topaloglu R, Besbas N: Mutations in the gene for familial Mediterranean fever: do they predispose to inflammation?. J Rheumatol. 2003, 30 (9): 2014-2018.
Day TG, Ramanan AV, Hinks A, Lamb R, Packham J, Wise C, Punaro M, Donn RP: Autoinflammatory genes and susceptibility to psoriatic juvenile idiopathic arthritis. Arthritis Rheum. 2008, 58 (7): 2142-2146. 10.1002/art.23604.
O'Doherty C, Hawkins S, Rooney M, Vandenbroeck K: The MHC2TA-168A/G and +1614G/C polymorphisms and risk for multiple sclerosis or chronic inflammatory arthropathies. Tissue Antigens. 2007, 70 (3): 247-251. 10.1111/j.1399-0039.2007.00876.x.
Nikitina Zake L, Cimdina I, Rumba I, Dabadghao P, Sanjeevi CB: Major histocompatibility complex class I chain related (MIC) A gene, TNFa microsatellite alleles and TNFB alleles in juvenile idiopathic arthritis patients from Latvia. Hum Immunol. 2002, 63 (5): 418-423. 10.1016/S0198-8859(02)00385-3.
Huemer M, Huemer C, Ulmer H, Crone J, Fodinger M, Falger J, Sailer-Hock M: No evidence for hyperhomocysteinemia or increased prevalence of genetic polymorphisms in the homocysteine pathway in patients with moderate juvenile idiopathic arthritis. J Rheumatol. 2005, 32 (1): 170-174.
Marciano R, Giacopelli F, Divizia MT, Gattorno M, Felici E, Pistorio A, Martini A, Ravazzolo R, Picco P: A polymorphic variant inside the osteopontin gene shows association with disease course in oligoarticular juvenile idiopathic arthritis. Ann Rheum Dis. 2006, 65 (5): 662-665. 10.1136/ard.2005.040626.
Smerdel A, Dai KZ, Lorentzen AR, Flato B, Maslinski S, Thorsby E, Forre O, Spurkland A: Genetic association between juvenile rheumatoid arthritis and polymorphism in the SH2D2A gene. Genes Immun. 2004, 5 (4): 310-312. 10.1038/sj.gene.6364093.
Lamb R, Thomson W, Ogilvie EM, Donn R: Positive association of SLC26A2 gene polymorphisms with susceptibility to systemic-onset juvenile idiopathic arthritis. Arthritis Rheum. 2007, 56 (4): 1286-1291. 10.1002/art.22444.
Gibbons LJ, Thomson W, Zeggini E, Worthington J, Barton A, Eyre S, Donn R, Hinks A: The type 1 diabetes susceptibility gene SUMO4 at IDDM5 is not associated with susceptibility to rheumatoid arthritis or juvenile idiopathic arthritis. Rheumatology (Oxford). 2005, 44 (11): 1390-1393. 10.1093/rheumatology/kei041.
Ploski R, Undlien DE, Vinje O, Forre O, Thorsby E, Ronningen KS: Polymorphism of human major histocompatibility complex-encoded transporter associated with antigen processing (TAP) genes and susceptibility to juvenile rheumatoid arthritis. Hum Immunol. 1994, 39 (1): 54-60. 10.1016/0198-8859(94)90101-5.
Bukulmez H, Fife M, Tsoras M, Thompson SD, Twine NA, Woo P, Olson JM, Elston RC, Glass DN, Colbert RA: Tapasin gene polymorphism in systemic onset juvenile rheumatoid arthritis: a family-based case-control study. Arthritis Res Ther. 2005, 7 (2): R285-90. 10.1186/ar1480.
Maksymowych WP, Gabriel CA, Luyrink L, Melin-Aldana H, Elma M, Giannini EH, Lovell DJ, Van Kerckhove C, Leiden J, Choi E: Polymorphism in a T-cell receptor variable gene is associated with susceptibility to a juvenile rheumatoid arthritis subset. Immunogenetics. 1992, 35 (4): 257-262. 10.1007/BF00166831.
Ploski R, Hansen T, Forre O: Lack of association with T-cell receptor TCRBV6S1*2 allele in HLA-DQA1*0101-positive Norwegian juvenile chronic arthritis patients. Immunogenetics. 1993, 38 (6): 444-445. 10.1007/BF00184525.
Lamb R, Zeggini E, Thomson W, Donn R: Toll-like receptor 4 gene polymorphisms and susceptibility to juvenile idiopathic arthritis. Ann Rheum Dis. 2005, 64 (5): 767-769. 10.1136/ard.2004.026930.
Modesto C, Patino-Garcia A, Sotillo-Pineiro E, Merino J, Garcia-Consuegra J, Merino R, Rua MJ, Sierrasesumaga L, Arnal C: TNF-alpha promoter gene polymorphisms in Spanish children with persistent oligoarticular and systemic-onset juvenile idiopathic arthritis. Scand J Rheumatol. 2005, 34 (6): 451-454. 10.1080/03009740510026652.
Zeggini E, Thomson W, Alansari A, Ollier W, Donn R: Tumour necrosis factor receptor II polymorphism and juvenile idiopathic arthritis. Rheumatology (Oxford). 2002, 41 (4): 462-465. 10.1093/rheumatology/41.4.462.
Behrens EM, Finkel TH, Bradfield JP, Kim CE, Linton L, Casalunovo T, Frackelton EC, Santa E, George Otieno F, Glessner JT, Chiavacci RM, Grant SF, Hakonarson H: Association of the TRAF1-C5 locus on chromosome 9 with juvenile idiopathic arthritis. Arthritis Rheum. 2008, 58 (7): 2206-2207. 10.1002/art.23603.
Supported by, The National Institute of Arthritis and Musculoskeletal and Skin Diseases (K23-AR50177, N01-AR42272, P01 AR048929), The National Institute of Allergy and Infectious Disease (U01 UA1067150A), The National Center for Research Resources (RR00064), The Arthritis Foundation, and The Val A Browning Charitable Foundation, and The Primary Children's Medical Center Foundation, Salt Lake City, UT.
The authors declare that they have no competing interests.
SP is the primary author, conceived the article, performed a systematic review of the literature, synthesized the results and wrote the article. DNG is the corresponding author, made substantial contribution to the conception and design of the article, and was involved in revising the manuscript. Both authors read and approved the final manuscript.
About this article
- Human Leukocyte Antigen
- Juvenile Idiopathic Arthritis
- Migration Inhibitory Factor
- Juvenile Idiopathic Arthritis Patient
- Macrophage Activation Syndrome