Autoinflammatory gene polymorphisms and susceptibility to UK juvenile idiopathic arthritis

Abstract

Background

To investigate the autoinflammatory hereditary periodic fever syndrome genes MVK and TNFRSF1A, and the NLRP1 and IL1 genes, for association with juvenile idiopathic arthritis (JIA).

Methods

For MVK, TNFRSF1A and NLRP1 pair-wise tagging SNPs across each gene were selected and for IL1A SNPs from a prior meta-analysis were included. 1054 UK Caucasian JIA patients were genotyped by Sequenom iPlex MassARRAY and allele and genotype frequencies compared with 5380 unrelated healthy UK Caucasian controls.

Results

Four SNPs were significantly associated with UK JIA: rs2071374 within intron 4 of IL1A (ptrend=0.006), rs2228576 3’ of TNFRSF1A (ptrend=0.009) and 2 SNPs, rs11836136 and rs7957619, within MVK (ptrend=0.006, ptrend=0.005 respectively). In all cases the association appeared to be driven by the systemic-onset JIA (SoJIA) subtype. Genotype data for the two MVK SNPs was available in a validation cohort of 814 JIA (oligoarticular and RF negative polyarticular) cases and 3058 controls from the US. Replication was not confirmed, however, further suggesting that this association is specific to SoJIA.

Conclusions

These findings extend the observations of the relevance of studying monogenic loci as candidates for complex diseases. We provide novel evidence of association of MVK and TNFRSF1A with UK JIA, specifically driven by association with SoJIA and further confirm that the IL1A SNP association with SoJIA is subtype specific. Replication is required in independent cohorts.

Background

Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease of childhood. It occurs, by definition, before the age of 16 years, with a duration of more than six weeks. JIA is a heterogeneous condition, and has been divided into several subtypes based on clinical features, family history, and laboratory markers [1], though they all share chronic inflammation of one or more synovial joints.

The contribution of common variants of genes, in which mutations cause distinct, rare syndromes, to complex oligogenic phenotypes is increasingly recognised [2-6].

We have previously described associations between the psoriatic subtype of JIA and single-nucleotide polymorphisms (SNPs) in four genes responsible for monogenic hereditary periodic fever syndromes (HPFs) or autoinflammatory syndromes [7]. The HPF syndromes are a heterogeneous group of autoinflammatory diseases, unified by the common feature of episodes of unprovoked inflammation, along with other signs of systemic infection such as fever. Arthralgia or arthritis is often part of the presenting form [8]. They are caused by aberrant activation of the innate immune system, a mechanism that may also be relevant to JIA.

In the present study we have investigated the genes implicated in two additional HPF syndromes. These are MVK, located on chromosome 12q24, responsible for hyper-IgD syndrome (HIDS), and TNFRSF1A, located on chromosome 12p13.2, responsible for TNF receptor-associated periodic syndrome (TRAPS). HIDS, like all HPF syndromes, is characterized by periodic inflammation, but has high serum IgD level and an array of inflammatory symptoms including lymphadenopathy, rash, gastrointestinal upset and arthritis [9]. Mutations in MVK are also responsible for the severe monogenic metabolic disorder mevalonic aciduria. TRAPS is the most common autosomal dominant HPF syndrome and is distinguished clinically by particularly long duration of attacks. Arthralgia and non-erosive synovitis are among the most common manifestations [10].

In addition, we have studied NLRP1, which encodes NACHT leucine-rich-repeat protein 1, a regulator of the innate immune system. NLRP1 provides a scaffold for the assembly of the inflammasome that activates caspases 1 and 5, which subsequently promote the processing and maturation of the inflammatory cytokines pro-IL-1β, IL-18 and IL-33 [11]. NLRP1 is a homologue of NLRP3, one of the genes found previously to be associated with psoriatic JIA [7]. SNPs in NLRP1 have recently been associated with vitiligo-associated autoimmune disease, autoimmune Addison’s disease, and type 1 diabetes [12,13].

Interleukin 1 (IL-1) helps coordinate the immune system’s early response to exogenous and endogenous danger, serving as a prototypic alarm cytokine. Increased production of IL-1 is thought to be a fundamental component in the pathogenesis of the majority of the HPF syndromes [14]. Furthermore, the systemic-onset subtype of JIA (SoJIA) has been classified, in recent years, as an autoinflammatory disease. Leukocyte gene expression profiling of SoJIA patients identified a unique IL-1β signature when compared to controls, and which changed significantly following IL-1β blockade [15]. However, subsequent studies have failed to replicate the IL-1β signature [16,17]. Stock et al. described association between SoJIA and SNPs in the IL-1 ligand and IL-1 receptor clusters [18]. The relevance of these SNPs to other JIA subtypes has not previously been investigated.

We have utilised a large collection of UK Caucasian JIA samples and controls to determine SNP associations with the autoinflammatory disease related loci MVK, TNFRSF1A, NLRP1, IL1 ligand and IL1 receptor. Data collected from a US genome wide association study of JIA was available for validation of any significant findings.

Methods

Initial UK cohort - subjects

DNA was available for 1054 UK Caucasian JIA patients (332 males: 715 females) from three sources. The British Society for Paediatric and Adolescent Rheumatology (BSPAR) National Repository of JIA (n=654), a cohort of UK Caucasian patients with long-standing JIA (n=201), described previously [19] and a third cohort collected as part of the Childhood Arthritis prospective Study (CAPS), a prospective inception cohort study of JIA cases from 5 centres across UK (n=199) [20]. JIA cases were classified according to ILAR criteria [1]. The numbers per subtype were: systemic onset (n=165), persistent oligoarthritis (n=276), extended oligoarthritis (n=143), rheumatoid factor (RF) negative polyarthritis (n=208), RF positive polyarthritis (n=67), enthesitis related JIA (n=64), psoriatic JIA (n=74) and unclassified (n=57). Additional control DNA samples for genotyping (n=794) were recruited from blood donors, or from the 1958 Birth Cohort (n=1717).

The SoJIA patients included in this present study are the same as those previously reported on by Stock et al.[18].

All individuals were recruited with ethical approval and provided informed consent [North-West Multi-Centre Research Ethics Committee (MREC 99/8/84) and the University of Manchester Committee on the Ethics of Research on Human Beings].

SNP selection

Five loci were selected for analysis (MVK, TNFRSF1A, NLRP1, IL1 ligand and IL1 receptor clusters).

For MVK, TNFRSF1A and NLRP1 pair-wise tagging SNPs across each gene and within 10 kb 5’ and 3’ of it were selected using HapMap release 22 (http://www.hapmap.ncbi.nlm.gov) and the tagger function in Haploview version 4.1 (http://www.broadinstitute.org/haploview/haploview), using an r² cutoff ≥ 0.8 and MAF ≥ 0.05.

For the IL1 receptor and IL1 ligand clusters the four SNPs that were previously associated in a two-stage meta-analysis with SoJIA were selected for genotyping [18]. In the IL1 receptor cluster, rs2190360, which has r²=0.96 with rs12712122 was selected. In the IL1 ligand cluster, the three SNPs were rs6712572, rs2071374 and rs1688075.

Genotyping

SNP genotyping was performed using the Sequenom iPlex® MassARRAY platform according to manufacturers instructions (Sequenom, San Diego, CA. http://www.sequenom.com/). A 90% sample quality control (QC) rate and 90% SNP genotyping success rate was imposed on the analysis.

Control genotyping data

All SNPs, except rs6712572, rs1688075 and rs1295288, were genotyped as part of Wellcome Trust case control consortium 2 (WTCCC2). Some SNPs have been genotyped using the Affymetrix platform, others the Illumina platform and some have been genotyped on both, where this is the case the Affymetrix control data has been used preferentially, because of the larger cohort. Sample size for the WTCCC2 Affymetrix control data =5380, for the WTCCC2 Illumina control data =5200. The SNPs rs6712572 and rs1688075 were genotyped in controls from blood donors and general practitioner records (n=794) and rs1295288 was genotyped in 1958 Birth Cohort controls (n=1717).

Validation cohort

For validation of the findings in the UK cohort genotype information was available from a replication cohort of 814 JIA cases and 3058 controls from the US. For the JIA children, with polyarticular (RF negative) and oligoarticular JIA, approximately 95% of the cases were recruited at the Cincinnati Children's Hospital Medical Center (CCHMC) or as part of a NIAMS supported JIA affected sibpair registry. The remaining cases were contributed by collaborating centers which included Children's Hospital of Wisconsin, Schneider Children's Hospital and Children's Hospital of Philadelphia. The numbers per subtype were: persistent oligoarthritis (n=343), extended oligoarthritis (n=118) and rheumatoid factor (RF) negative polyarthritis (n=353). The control cohort (n=3058) comprised 658 healthy children aged between 3–18 years, recruited from the general population to represent the geographical region served by CCHMC. In addition 2400 controls of European ancestry were genotyped at the Broad Institute on the Affymetrix SNP Array 6.0 as part of the Molecular Genetics of Schizophrenia (MGS) genome wide association study. Both cases and controls were run through principal component analysis to look for outliers, and any outliers excluded from analysis. SNPs were genotyped using the Affymetrix Genome-Wide Human SNP Array 6.0. The study had full ethical committee approval (CCHMC IRB) and was fully compliant with the Declaration of Helsinki.

Statistical analysis

Power calculations were performed using QUANTO [21], calculations assumed a log-additive model and alpha value of 0.05. Genotype and allele frequencies were compared between cases with JIA and controls using the Cochrane-Armitage trend test implemented in PLINK [22] and allelic odds ratios (ORs) and their 95% confidence intervals (CIs) calculated. JIA is a phenotypically heterogeneous disease and can be classified into more clinically homogeneous diseases using the ILAR classification criteria [1]. Therefore SNPs were also analysed stratified by ILAR subtype, whereby each JIA subtype was individually compared to controls. Conditional logistic regression analysis was performed using PLINK.

Results

After QC the dataset for analysis from the initial UK cohort comprised 1017 JIA cases and 5380 controls. Of the 41 SNPs genotyped, 2 SNPs failed SNP QC in the cases and 2 failed WTCCC2 control QC, these SNPs were dropped, leaving 37 SNPs for analysis. There was an average coverage of all genes, after QC, of >86%.

This study had >80% to detect an effect >1.25 for SNPs with allele frequencies >0.1.

Results for all SNPs studied in the total JIA group compared with controls are presented in Additional file 1: Table S1. The results for individual JIA subgroups compared with controls are presented in Additional file 1: Tables S2-S4.

Of the 37 SNPs analysed four show significant association with JIA (Table 1). One SNP, rs2071374 in the IL1 ligand cluster showed significant association with JIA (ptrend=0.006 OR 1.16 95% CI 1.04-1.30) (Table 1). The association was with SoJIA (p=0.001 OR 1.5 95% CI 1.16-1.92). In addition, there was also a trend towards association in the psoriatic subtype (p=0.11 OR 1.36 95% CI 0.93-1.98). Odds ratio plot across all seven ILAR subtypes is shown in Figure 1. Overall, three of the four IL1-related SNPs tested in this study showed significant association with SoJIA (Additional file 1: Table S2), and when the dataset was reanalysed after removing the systemic subtype none of the SNPs remained significantly associated, further confirming the association as being largely driven by the SoJIA subtype (Additional file 1: Table S5). These SoJIA cases have been previously studied for the IL1-related SNPs by Stock et al.[18]. Our data shows no evidence for significant association of the IL1 ligand and IL1 receptor gene cluster with non SoJIA.

Table 1.

SNPs significantly associated with JIA (p<0.05)

SNP	CHR	Position	Gene	Major allele (allele 1)	Minor allele (allele 2)	MAF Case	MAF Control	pHWE Control	Case genotype frequencies			Control genotype frequencies			p-value	Odds ratio 95% CI
									1/1	1/2	2/2	1/1	1/2	2/2
									(%)	(%)	(%)	(%)	(%)	(%)
rs2071374	2	113537352	IL1A	A	C	0.30	0.27	0.67	453	392	85	2751	2067	376	0.006	1.16 1.04-1.30
									(48.7)	(42.2)	(9.1)	(53.0)	(39.8)	(7.2)
rs2228576	12	6457062	TNFRSF1A	G	A	0.33	0.36	0.43	414	419	94	2136	2349	678	0.009	0.87 0.78-0.97
									(44.7)	(45.2)	(10.1)	(41.4)	(45.5)	(13.1)
rs11836136	12	110006512	MVK	A	G	0.29	0.26	1.00	460	380	74	2857	1992	347	0.006	1.17 1.04-1.30
									(50.3)	(41.6)	(8.1)	(55.0)	(38.3)	(6.7)
rs7957619	12	110013879	MVK	G	A	0.14	0.11	0.33	699	210	21	4099	1027	73	0.005	1.231.07-1.43
									(75.2)	(22.6)	(2.3)	(78.8)	(19.8)	(1.4)

CHR=chromosome, MAF=minor allele frequency, CI=confidence interval, pHWE= p-value for departure from Hardy-Weinburg equilibrium.

Figure 1.

Odds ratio and 95% CI plots for the IL1A SNP rs2071374 in UK JIA. Allele frequencies for each JIA subtype was compared with that of the controls and the OR and 95% CI plotted. The comparison versus the total UK JIA cohort (All JIA) is also shown.

One SNP, rs2228576, at the 3’ end of the TNFRSF1A, but which actually lies within the adjacent gene sodium channel, non-voltage-gated 1 alpha (SCNN1A), was associated with JIA (ptrend=0.009 OR 0.87 95% CI 0.78-0.97) (Table 1).

Two SNPs in the MVK gene, rs1183616 (ptrend=0.006. OR 1.17, 95% CI 1.04-1.30) and rs7957619 (ptrend=0.005 OR 1.23 95% CI 1.07-1.43) were associated with JIA (Table 1). These two SNPs are in modest linkage disequilibrium (r²=0.36, D’=1). Logistic regression of the two SNPs, after conditioning on the most significant SNP, found that the rs1183616 SNP was no longer significant (p=0.3). This suggests that the association is a single effect driven by the rs7957619 SNP. This SNP lies within exon 3 of the MVK gene and is a Serine to Asparagine substitution at position 52. Odds ratio plots for the rs7957619 and the rs1183616 SNPs in the UK JIA subtypes are shown in Figure 2a and b.

Figure 2.

Odds ratio and 95% CI plots for MVK SNPs in UK JIA. Allele frequencies for each JIA subtype separately was compared with that of the controls and the OR and 95% CI plotted. In addition, the comparison versus the total UK JIA cohort (All JIA) is also shown. For both rs7957619 (Figure 2a) and for rs11836136 (Figure 2b) ILAR 234 comprising of persistent oligoarticular, extended oligoarticular and RF-ve polyarticular JIA, which represents those JIA subtypes included in the USA validation cohort, are not significantly associated with UK JIA. ILAR 1567 comprises the systemic onset, RF+ve polyarticular, enthesitis and psoriatic subtypes respectively.

None of the 16 SNPs studied across the NLRP1 gene locus were found to be associated with JIA susceptibility (Additional file 1: Table S1).

Of the four significantly associated SNPs, only the two SNPs in the MVK gene had genotype data available in a validation cohort (US cases and controls). The SNPs in the IL1 ligand and the TNFRSF1A genes were not genotyped on the Affymetrix array and there were no proxies (r²>0.8) for these SNPs. Of the two SNPs in the MVK gene, one SNP, rs7957619, has been directly genotyped and showed significant evidence for association with US JIA (ptrend=0.04 OR 0.83 95% CI 0.7-0.99) (Table 2). However, this association is in the opposite direction to the association in UK JIA cases, where the minor allele was associated with increased risk of developing JIA. The second SNP, rs11836136, was not directly genotyped on the array but a complete proxy, rs888193, showed no association with JIA (ptrend=0.22) (Table 2).

Table 2.

MVK SNPs investigated for association in the US cohort

SNP	CHR	Position	Gene	Major allele (allele 1)	Minor allele (allele 2)	MAF Case	MAF Control	pHWE Control	Case genotype frequencies			Control genotype frequencies				Odds ratio 95% CI
									1/1 (%)	1/2 (%)	2/2 (%)	1/1 (%)	1/2 (%)	2/2 (%)	p-value
rs888193*	12	109987576	MVK	G	C	0.25	0.26	0.22	450	313	41	1679	1148	220	0.22	0.92
									(56.0)	(38.9)	(5.1)	(55.1)	(37.7)	(7.2)		0.81-1.05
rs7957619	12	110013879	MVK	G	A	0.10	0.12	0.67	653	150	9	2358	650	48	0.04	0.83
									(80.4)	(18.5)	(1.1)	(77.2)	(21.3)	(1.6)		0.7-0.99

* rs888193 is a perfect proxy (r²=1) for rs11836136.

CHR=chromosome, MAF=minor allele frequency, CI=confidence interval, pHWE=p-value for departure from Hardy-Weinburg equilibrium.

Discussion

In this study we have utilised a large cohort of JIA cases and identified associations between UK JIA and polymorphisms in three genes: MVK, TNFRSF1A, and IL1A. These findings follow on from work performed by our group, showing associations between psoriatic JIA and other HPF syndrome genes, and work previously showing associations between SoJIA and the IL1 ligand and IL1 receptor gene clusters [7,18].

After applying a Bonferroni correction for the number of loci studied (p<0.0013), none of the loci associated with UK JIA would remain significant. However, this is a highly conservative correction method which assumes all tests are independent, as it does not take into account correlations between SNPs. We have thus taken the approach of trying to validate significant findings in an independent cohort.

For two of the four significantly associated SNPs in the UK cohort we had validation data from a US cohort. One SNP showed no association in this cohort and the other SNP showed association but in the opposite direction. The US cohort comprises JIA cases from only three ILAR subtypes: RF negative polyarthritis, persistent and extended oligoarthritis subtypes, whereas the UK cohort encompasses all seven of the ILAR JIA subtypes. Analysis of the UK dataset stratified by ILAR subtype for the rs7957619 and rs11836136 SNPs suggests the association with JIA overall is driven largely by the systemic, together with the RF positive polyarthritis and psoriatic arthritis subtypes (Figure 2a and b). Analysis with just the RF negative polyarthritis and oligoarthritis subtypes showed no association for either rs11836136 (ptrend=0.3) or rs7957619 (ptrend=0.12). Conversely, analysis of the UK dataset with all the other subtypes (systemics, RF positive polyarthritis, enthesitis related arthritis and psoriatic JIA) showed association with rs11836136 (ptrend=0.005) and rs7957619 (ptrend=0.02). Therefore, this represents evidence for subtype specific associations. This is an interesting finding in itself as it provides further genetic evidence that the SoJIA cases are different to the other subtypes. Further investigations into the genetics of individual subtypes of JIA are required however, power is a big issue as stratification by subtype inevitably leads to small sample sizes. The lack of, or weak, association of these SNPs in the oligoarthritis and RF negative polyarthritis subtypes in the initial cohort may have been due to a lack of power and so investigating another cohort of US JIA cases and controls was appropriate. This approach has strengthened the evidence that these finding represent subtype specific effects. Independent validation of the finding in SoJIA is still required in other datasets.

The MVK gene encodes for mevalonate kinase, an enzyme that plays a key role in steroid synthesis. It catalyses the conversion of mevalonic acid to 5-phosphomevalonic acid, and mutations in this gene are responsible for both the hyper-IgD syndrome (HIDS), and the more severe mevalonic aciduria [14,23]. The pathogenesis of HIDS is not completely clear, but despite very high levels of IgD seen in this disease, it is thought this is unlikely to exert a direct pathological effect. More likely it is a reduction in levels of isoprenoids, anti-inflammatory compounds produced downstream from MVK in the steroid synthesis pathway that causes the proinflammatory phenotype seen in HIDS [14]. Experimental models have shown that lack of isoprenoids in HIDS causes an increase in the secretion of the proinflammatory cytokine IL-1β [24,25]. The rs7957619 SNP associated with UK JIA is exonic and changes an amino acid (from Serine to Asparagine). Once replication of the genetic association has been achieved functional analysis of this coding SNP should be undertaken to determine if this variation alters the quality or quantity of the resulting MVK protein and if any downstream effects on steroid synthesis results.

We also found association of a SNP close to TNFRSF1A. TNFSR1A encodes the p55 (type-1) TNF receptor (TNFR1), which plays a vital role in regulating the innate immune system via TNF-α signaling, resulting in downstream cytokine secretion, NF-kB activation, and apoptosis. The rs2228576 SNP lies 3’ of TNFRSF1A, within exon 13 of SCNN1A. The SNP results in a Threonine to Alanine amino acid change. The SCNN1A gene itself, which is primarily involved in sodium and water transport across epithelia, seems an unlikely gene to have functional relevance in JIA. However, once replicated, the ability of rs2228576 to regulate TNFSR1A function could be determined using chromosome conformation capture techniques [26,27]. This would have direct relevance to JIA disease pathogenesis. We found association of a SNP in the IL1A gene with the total UK JIA dataset. Stratification of this SNP by ILAR subtype however, again showed that this was largely driven by association in the SoJIA subtype. It is important to point out that there is almost complete overlap between the SoJIA cases studied here and by Stock et al.[18]. Therefore, the IL1 ligand and receptor SNP associations described with SoJIA herein are not independent validation of Stock’s findings. However, our data does provide evidence to suggest that the IL1 ligand and receptor SNP associations are subtype specific, being associated primarily with SoJIA, and possibly also with the psoriatic JIA subtype. Interestingly, there was a trend also towards significance with the MVK rs7957619 (p=0.08) and rs11836136 (p=0.06) SNPs with psoriatic JIA. The numbers in this subtype are small and independent replication is required however, it is intriguing that trends towards association with additional autoinflammatory disease loci and psoriatic JIA subtype are occurring, especially as we have previously reported significant association with SNPs in the autoinflammatory disease genes NLRP3, NOD2, MEFV and PSTPIP1 with psoriatic JIA [7].

Magitta et al. previously found no association with two SNPs in NLRP1 when 505 Norwegian JIA cases were studied [13]. We have conducted a comprehensive SNP analysis of the whole NLRP1 gene, and its 5’ and 3’ flanking regions and found no association with UK JIA.

Although JIA is the most common rheumatic disease of childhood, it is nevertheless extremely rare, making large cohorts difficult to collect. This makes small sample sizes a continuing problem across all JIA research, especially research focused on the less common subtype presentations. Here we have used the largest cohort of JIA available in Europe, and utilised data from the Welcome Trust Case Control Consortium to provide control genotype data, to maximise study power. We have identified association to SNPs in three genes that appear to be specific with SoJIA, highlighting that there are genetic as well as clinical differences between SoJIA and the other JIA subtypes.

Conclusions

1. We have found preliminary evidence of association of SNPs in MVK, 3’ of TNFRSF1A, and in IL1A genes with UK SoJIA, further establishing the genetic as well as clinical differences between SoJIA and the other JIA subtypes.

2. Further studies in other JIA cohorts should be performed to replicate these findings.

Competing interests

The authors’ declare that they have no competing interests.

Authors’ contributions

AH carried out genotyping, analysis of the data and co-wrote the manuscript. PH and CJS contributed to the genotyping. CAPS, BSPAR Study Group, WT & JP provided UK samples. TGD & AVR helped plan the study. RPD planned the study design, contributed to the analysis of the data and co-wrote the manuscript. All authors read and approved the final manuscript.

Authors’ information

Childhood arthritis prospective study (CAPS):

Eileen Baildam, Lynsey Brown, Joanne Buckley, Alice Chieng, Joyce Davidson, Michael Eltringham, Helen Foster, Mark Friswell, Janet Gardner-Medwin, Paul Gilbert, Kimme Hyrich, Julie Jones, Sham Lal, Mark Lay, Carol Lydon, Alexandra Meijer, Vicki Price, Jane Sim, Maureen Todd, Peter Ward, Lucy Wedderburn.

British Society of Paediatric and Adolescent Rheumatology (BSPAR) study group:

M. Abinum, MD, M. Becker, MD, A. Bell, MD, A. Craft, MD, E. Crawley, MD, J. David, MD, H. Foster, MD, J. Gardener-Medwin, MD, J. Griffin, MD, A. Hall, MD, M. Hall, MD, A. Herrick, MD, P. Hollingworth, MD, L. Holt, MD, S. Jones, MD, G. Pountain, MD, C. Ryder, MD, T. Southwood, MD, I. Stewart, MD, H. Venning. L. Wedderburn, MD, P. Woo, MD, and S. Wyatt, MD.

Supplementary Material

Additional file 1: Table S1

Association analysis of all SNPs studied. Table S2. Association analysis for all SNPs in systemic onset, persistent oligoarthritis and extended oligoarthritis subtypes. Table S3. Association analysis for all SNPs in RF –ve polyarthritis, RF +ve polyarthritis and enthesitis related JIA subtypes. Table S4. Association analysis for all SNPs in Psoriatic JIA subtype. Table S5. Association analysis in JIA cases (not including systemic JIA cases) and controls for SNPs in IL1 ligand cluster and IL1 receptor.

Acknowledgements

We are grateful to Professor Pat Woo for critical reading of the manuscript and general discussions. This work was supported by the Arthritis Research UK: AR UK grant reference no: 17552 and by US grants NIH P30AR47363, N01AR42272, P01048929 and RC1-AR-058587. We acknowledge use of DNA from the British 1958 Birth Cohort collection, funded by the Medical Research Council grant G0000934 and the Wellcome Trust grant 068545/Z/02. This study makes use of data generated by the Wellcome Trust Case–control Consortium 2. A full list of the investigators who contributed to the generation of the data is available from http://www.wtccc.org.uk. Funding for the project was provided by the Wellcome Trust under award 085475.