Literature DB >> 20622878

Genome-wide association study identifies variants in the MHC class I, IL10, and IL23R-IL12RB2 regions associated with Behçet's disease.

Elaine F Remmers1, Fulya Cosan, Yohei Kirino, Michael J Ombrello, Neslihan Abaci, Colleen Satorius, Julie M Le, Barbara Yang, Benjamin D Korman, Aris Cakiris, Oznur Aglar, Zeliha Emrence, Hulya Azakli, Duran Ustek, Ilknur Tugal-Tutkun, Gulsen Akman-Demir, Wei Chen, Christopher I Amos, Michael B Dizon, Afet Akdag Kose, Gulsevim Azizlerli, Burak Erer, Oliver J Brand, Virginia G Kaklamani, Phaedon Kaklamanis, Eldad Ben-Chetrit, Miles Stanford, Farida Fortune, Marwen Ghabra, William E R Ollier, Young-Hun Cho, Dongsik Bang, John O'Shea, Graham R Wallace, Massimo Gadina, Daniel L Kastner, Ahmet Gül.   

Abstract

Behçet's disease is a genetically complex disease of unknown etiology characterized by recurrent inflammatory attacks affecting the orogenital mucosa, eyes and skin. We performed a genome-wide association study with 311,459 SNPs in 1,215 individuals with Behçet's disease (cases) and 1,278 healthy controls from Turkey. We confirmed the known association of Behçet's disease with HLA-B*51 and identified a second, independent association within the MHC Class I region. We also identified an association at IL10 (rs1518111, P = 1.88 x 10(-8)). Using a meta-analysis with an additional five cohorts from Turkey, the Middle East, Europe and Asia, comprising a total of 2,430 cases and 2,660 controls, we identified associations at IL10 (rs1518111, P = 3.54 x 10(-18), odds ratio = 1.45, 95% CI 1.34-1.58) and the IL23R-IL12RB2 locus (rs924080, P = 6.69 x 10(-9), OR = 1.28, 95% CI 1.18-1.39). The disease-associated IL10 variant (the rs1518111 A allele) was associated with diminished mRNA expression and low protein production.

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Year:  2010        PMID: 20622878      PMCID: PMC2923807          DOI: 10.1038/ng.625

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


Behçet's disease (BD) is a genetically complex disease of unknown etiology, characterized by recurrent inflammatory attacks affecting orogenital mucosa, eyes, and skin. We performed a GWAS with 311,459 SNPs in 1215 BD patients and 1278 healthy controls from Turkey. We confirmed the known HLA-B51 association and identified a second, independent association within the MHC Class I region. We also found one SNP with genome-wide evidence for association within the gene encoding interleukin-10 (IL10). A meta-analysis including a total of 2430 cases and 2660 controls established associations with the IL10 variant (rs1518111, P=3.54×10-18, odds ratio 1.45 with 95% confidence interval 1.34-1.58) and with a variant located between the interleukin-23 receptor (IL23R) and interleukin 12 receptor β2 (IL12RB2) genes (rs924080, P=6.69×10-9, odds ratio 1.28 with 95% confidence interval 1.18-1.39). The disease-associated IL10 variant (rs1518111 A allele) was associated with diminished mRNA expression and low protein production, suggesting novel therapeutic targets for BD. BD is prevalent in Middle Eastern countries with the highest rate (4 in 1000 individuals) found in Turkey. A genetic contribution to BD is supported by the high sibling recurrence risk ratio (λs), estimated from 11.4 to 52.5 in the Turkish population1. HLA-B51 is the most strongly associated known genetic factor2, however it accounts for less than 20% of the genetic risk, even in familial cases3, indicating that genetic factors remain to be discovered. Candidate gene studies and several small GWASs4,5 have examined BD genetics, but the studies have been generally underpowered, making interpretation and replication of the results problematic. We therefore performed a GWAS of 311,459 autosomal SNPs in 1215 BD cases and 1278 healthy controls from Turkey (Fig. 1, Supplementary Fig. 1, and Supplementary Table 1). Only SNP genotype data that met strict quality control standards (see Online Methods) were included. A principal components method (Online Methods) was used to evaluate population stratification in the cases and the controls. After correction for 6 PCs, λGC, a measure of genomic inflation, was reduced from 1.06 to 1.05 (Supplementary Fig. 2a, b, c). Correcting for 6 PCs in the absence of the strongly associated MHC region SNPs reduced λGC from 1.05 to 1.04 (Supplementary Fig. 2d). Given the minimal degree of population stratification, uncorrected data are presented. P < 5.0 × 10-8 was considered genome-wide significance.
Figure 1

Behçet's disease genome-wide association results. The –log10 P values (allelic Chi-squared test) for association of 311,459 autosomal SNPs in 1215 BD cases and 1278 controls from Turkey are shown segregated by chromosome and sorted by genomic position.

The most significantly associated SNPs (P value < 10-44) were located on chromosome 6 in the MHC region. To evaluate the contribution of the HLA-B51 type to BD, we determined the HLA-B types of 1190 of the cases and 1257 of the controls. Occurrence of the HLA-B51 type (one or two copies) was found in 59.1% of cases and only 29.3% of controls (odds ratio = 3.49 [95% CI = 2.95 to 4.12], P = 5.47 × 10-50). Within the HLA-B region the most significantly associated SNPs were located from telomeric to the HLA-B coding region to centromeric to MICA (encoding MHC Class I chain related sequence A), which has been suggested to be the source of the BD-HLA-B51 association6. We found the HLA-B51 type was more strongly associated with disease than was any genotyped SNP (HLA-B51 allele frequency = 0.352 in cases and 0.159 in controls, P = 1.44 × 10-54, Fig. 2). Strong linkage disequilibrium (LD) was observed between HLA-B51 and all the SNPs located from HLA-B to more than 62 kb centromeric to the MICA gene, despite spanning several blocks of LD (Supplementary Fig. 3). This LD pattern is observed because the HLA-B51 variant is found almost exclusively on a single extended haplotype. This extended haplotype occurred at 0.321 frequency in cases and 0.144 frequency in controls. Interestingly, the identical SNP haplotype, but lacking HLA-B51, occurred in cases and controls equally at 0.04 frequency, suggesting that HLA-B51 is required for the disease association in the HLA-B region.
Figure 2

Analysis of associations within the MHC. The 292 SNPs from the MHC region with allelic Chi-squared P < 0.0001 are shown before (blue symbols) and after (red symbols) conditioning for HLA-B51. Blue symbols represent -log10 P (allelic Chi-squared test). Red symbols represent –log10 regressor P-values of the same markers from a logistic regression analysis with HLA-B51 specified as a covariate. The green horizontal line at –log10P = 7.301 corresponds to the genome-wide significance threshold of 5 × 10-8. The locations of HLA genes are shown above the association graph.

We next performed a conditional logistic regression analysis of the 292 SNPs from the MHC region with allelic Chi-squared P < 0.0001, specifying HLA-B51 as a covariate. None of the HLA-B/MICA region SNPs remained significantly associated with BD in the conditional analysis (Fig. 2). After accounting for the effect of HLA-B51, three SNPs within the HLA-A gene region with disease-associations retained genome-wide significance. The most strongly associated SNP, rs9260997, located 50 kb centromeric to the HLA-A gene, had a regressor P value = 5.49 × 10-9, suggesting a highly significant association independent of the HLA-B51 association. Coincidentally, an association of markers within the HLA-A region, independent of HLA-B51, was recently described in Japanese BD patients with attribution of the association to the HLA-A26 allele5. In the association data (Fig. 1) we identified near genome-wide significance for one non-MHC SNP, rs936551 (P = 5.29 ×10-8), located at the telomeric end of the short arm of chromosome 4, within the promoter region of CPLX1, which encodes complexin-1, a regulator of exocytosis during vesicle membrane fusion. Additionally, one SNP located within the first intron of the IL10 gene, rs3024490, was strongly suggestive for association with a P value = 2.22 × 10-7 (Fig. 1). We also identified an additional 66 SNPs from an additional 49 chromosomal regions with suggestive evidence for disease association, P < 0.0001 (Supplementary Table 2). To better evaluate genetic associations within the CPLX1 and IL10 gene regions, we genotyped the same case and control samples for additional SNPs from the regions predicted by HapMap CEU data to be in LD with the disease-associated SNP. We also fine-mapped the IL23R/IL12RB2 region, which was identified in an independent GWAS of Behçet's disease in the Japanese population7 and within which we found three SNPs with p < 0.0001 (Supplementary Table 2). In the CPLX1 region, the additional genotyped SNPs increased the estimated coverage (at r2 greater than 0.8) of HapMap Phase II SNPs with minor allele frequency greater than 0.05 from 57% to 93%. The most significantly associated SNPs were located in the promoter region of the gene, although none were more significantly associated than rs936551 (Supplementary Fig. 4). In the IL10 gene region, we genotyped 27 additional SNPs resulting in coverage of 100% of the HapMap Phase II SNPs with greater than 5% minor allele frequency in the CEU samples. Five SNPs were found strongly associated with BD, with one SNP, rs1518111, with genome-wide significance (P = 1.88 × 10-8, Fig. 3a). The disease-associated SNPs were located in the promoter region and the first, second, and third introns of the gene (Supplementary Fig. 5) and all were in strong LD with one another.
Figure 3

Fine-mapping of the IL10 and IL23R/IL12RB2 regions. Regional association plot and linkage disequilibrium structure of the disease-associated regions surrounding (a) IL10 and (b) IL23R/IL12RB2 showing SNPs genotyped in the genome-wide analysis (blue) and fine-mapping analysis (green). The LD structure of the same regions are shown with red filled squares linking pairs of markers indicating the intensity of LD by intensity of fill, D’= 1 (intense red) to D’ = 0 (no fill). In (a) the pink circles represent rs1518111 and the yellow circles represent rs3024505, which is associated with IBD and SLE. In (b) the pink circles represent rs924080 and the yellow circles represent the IL23R coding variants associated with other seronegative diseases.

In the IL23R/IL12RB2 region we genotyped 11 additional SNPs increasing coverage from 58% to 88% of the HapMap Phase II SNPs with greater than 5% minor allele frequency in the CEU samples. No SNPs were found with stronger association than rs924080 from the GWAS analysis (Fig. 3b). We identified a recombination hotspot located in the intergenic region between IL23R and IL12RB2 (Fig. 3b), which is also seen in the HapMap Caucasian and Asian populations (data not shown). The BD-associated variants were located on the IL23R side of the hotspot, suggesting the disease association is more likely to influence IL23R than IL12RB2. Variants within the IL23R gene have been associated with ankylosing spondylitis8, psoriasis9, and inflammatory bowel disease10, diseases with some phenotypic overlap with each other and with BD. Neither of two IL23R coding variants associated with these seronegative diseases was associated with BD (Fig. 3b). We genotyped the BD-associated IL10, IL23R/IL12RB2, and CPLX1 SNPs in five additional collections of BD cases and controls from Turkey, the Middle East, Europe, and Asia (see Table 1 and Online Methods). A surrogate marker (rs11248047) was used in the place of the CPLX1 disease-associated SNP (rs936551), which failed quality control in the replication assay (both markers shown in Supplementary Fig. 4). The results are shown in Table 1. A number of the UK Caucasian and Middle Eastern Arab samples were previously tested for association of two IL10 promoter region SNPs with BD. Although an association with disease was reported in the UK collection, the association had not replicated in the Middle Eastern Arab collection11. The BD-associated IL10 SNP identified in the Turkish population, rs1518111, reached statistical significance after correction for three tests (P < 0.017) in the Middle Eastern Arab and Greek collections and was of nominal significance (P < 0.05) in the UK Caucasian collection (Table 1). For the most part, the IL23R/IL12RB2 and CPLX1 SNPs showed the same trend as found in the Turkish samples; however the associations did not reach statistical significance in these smaller collections. Association of these markers was not observed in the small Turkish replication collection. Although this lack of association could be explained by small sample size, an alternative explanation could be that the markers are associated with severe disease, as we have noted that disease manifestations in the replication collection (drawn from a Dermatology clinic) were milder than in the discovery collection used for the GWAS, which was obtained from a Rheumatology clinic.
Table 1

Association of three SNPs identified in the discovery GWAS in independent collections of BD cases and controls from diverse ethnic backgrounds.

Sample Collection# cases# controlsAllele freq casesAllele freq ctrlsChi-squaredChiSq P-valueOdds ratio(95% CI)
rs1518111 (IL10) A/G
Discovery - Turkish116112210.380.3031.62 1.88E-08 * 1.41(1.25 - 1.59)
Replication - Turkish1102240.300.31(0.02)0.6890.97(0.69 - 1.38)
Replication - Middle Eastern Arab1881630.350.267.150.0071.56(1.12 - 2.16)
Replication - Greek107840.400.277.210.0071.41(1.26 - 1.59)
Replication - UK Caucasian1201190.310.224.490.0341.56(1.03 - 2.34)
Replication - Korean77520.710.660.570.4501.23(0.78 - 2.10)
Replication - Japanese6117370.760.6729.405.89E-081.60(1.35 - 1.90)
CMH-Meta-analysis2374260075.56 3.54E-18 * 1.45**(1.34 - 1.58)
rs924080 (IL23R/IL12RB2) A/G
Discovery - Turkish121312750.670.6120.715.35E-061.31(1.17 - 1.47)
Replication - Turkish1102200.640.65(0.05)0.8180.96(0.69 - 1.35)
Replication - Middle Eastern Arab1651460.650.592.600.1071.31(0.94 - 1.81)
Replication - Greek102820.580.580.000.9561.01(0.67 - 1.53)
Replication - UK Caucasian1191180.550.530.300.5851.11(0.77 - 1.59)
Replication - Korean77540.790.740.720.3971.28(0.72 - 2.28)
Replication - Japanese5977200.760.7013.542.34E-041.39(1.17 - 1.65)
CMH-Meta-analysis2383261533.62 6.69E-09 * 1.28**(1.18 - 1.39)
rs11248047 (CPLX1) G/A
Discovery - Turkish117611900.580.5027.931.26E-071.36(1.21 - 1.53)
Replication - Turkish1112250.540.540.000.9670.99(0.72 - 1.37)
Replication - Middle Eastern Arab1891630.600.560.680.4091.13(0.84 - 1.53)
Replication - Greek104840.550.510.490.4851.16(0.77 - 1.74)
Replication - UK Caucasian1161150.550.550.010.9331.02(0.70 - 1.47)
Replication - Korean75510.540.500.390.5331.17(0.71 - 1.94)
Replication - Japanese6107260.460.47(0.58)0.4450.94(0.81 - 1.10)
CMH-Meta-analysis2381255413.820.00021.16**(1.07 - 1.27)

Genome-wide significance (P < 5.0E-08).

Breslow-Day Test for Homogeneity of the Odds Ratios: P =0.54, 0.71, and 0.027 for rs1518111, rs924080, and rs11248047, respectively.

While analyzing these data we learned that another group had also performed a GWAS for Behçet's disease7. We exchanged data for cross validation purposes and found that the IL10 and the IL23R/IL12RB2 SNP associations were also strongly supported by the data obtained from the Japanese population, whereas the CPLX1 association was not observed. A meta-analysis of all the association data (including a total of 2430 BD cases and 2660 controls) provided strong evidence for associations of the IL10 and IL23R/IL12RB2 loci with BD (Table 1). Association of the CPLX1 variant failed to replicate in any of the additional collections and failed to reach genome-wide significant association in a meta-analysis of the data. Analysis of even larger numbers of replication samples will be required to establish whether the CPLX1 locus contributes to BD susceptibility. Several SNP haplotypes of the IL10 gene promoter have been reported to be associated with regulation of the gene's expression, but the reported allelic effects have been inconsistent and difficult to reconcile12-14. We therefore tested for a difference in expression of the gene from the disease-associated haplotype and other haplotypes by measuring allelic imbalance of the rs1518111 variant in pre-mRNA from monocytes isolated from 8 healthy individuals heterozygous for the disease-associated allele. In 8 donors, the pre-mRNA transcript with the rs1518111 A allele was found at reduced levels compared with the G allele. Expression from the A bearing chromosome was 35% of expression from the G bearing chromosome (Fig. 4a).
Figure 4

Expression analysis of IL10. (a) Allelic imbalance detected by real time PCR of the IL10 SNP, rs1518111 (A is the BD-associated allele), in pre-mRNA from purified monocytes from healthy, rs1518111 heterozygous blood donors (n=8, p<0.01). The error bar represents the standard deviation. (b) IL-10 production by peripheral blood mononuclear cells isolated from healthy Turkish blood donors measured 24 hr after stimulation with LPS, relative to rs1518111 genotype. (c) IL-10 production by CD14+ monocytes isolated from ethnically diverse, healthy American blood donors measured 24 hr after stimulation with MDP + PAM3Cys, relative to rs1518111 genotype. In (b) and (c) the horizontal lines indicate the medians.

To assess whether this expression difference was relevant in terms of cytokine production, we activated mononuclear cells from healthy Turkish donors with lipopolysaccharide (LPS) and found significantly lower amounts of IL-10 protein in supernatants from donors homozygous for the rs1518111 A allele compared with individuals with one or two G alleles (Fig. 4b). We also cultured monocytes from ethnically diverse healthy donors from the United States and stimulated them with two Toll-like receptor and nucleotide-binding oligomerization domain containing receptor ligands, the lipoprotein, Pam3Cys and muramyl dipeptide. Individuals homozygous for the BD-associated rs1518111 A allele produced significantly less IL-10 than individuals with one or two G alleles (Fig. 4c), whereas no statistically significant variation was found in TNFα production (data not shown). Taken together, these data suggest that a genetic predisposition for low IL-10 expression is a risk factor for BD. There are extensive data in mouse models linking reduction in IL-10 with inflammation15. Variants in the IL10 gene region have been shown to be associated with ulcerative colitis (UC)16, type I diabetes17, systemic lupus erythematosus18, and severe juvenile rheumatoid arthritis (JRA)12, and IL-10 receptor mutations were recently shown to cause early onset enterocolitis19. Interestingly, the SNP found in the UC, type 1diabetes, and lupus studies, rs3024505, was not associated with BD (Fig. 3a) and the BD-associated IL10 variants were not associated with these three diseases, suggesting a different IL-10-related disease mechanism in BD compared with these other diseases. On the other hand, the IL10 association with severe JRA is the same as for BD. Variants from several candidate genes have been examined for association with BD. Although no variants within these genes were found with genome-wide significant association in the Turkish GWAS, 6 of the 12 genes examined contained at least one SNP with nominal significance (P < 0.05, Supplementary Table 3). A much larger sample collection will be required to determine whether any of these genes harbor true BD susceptibility alleles. In summary, this GWAS provides new insights into the genetic factors that contribute to BD. It not only supports the association of HLA-B51 as the primary MHC association with BD, but also reveals another independent MHC Class I association telomeric to the HLA-B gene. Most importantly, this study demonstrates that common variations in the IL10 gene and in the vicinity of the IL23R/IL12RB2 genes predispose to BD. Functional analyses indicate that the disease-associated IL10 variants cause decreased expression of this anti-inflammatory cytokine, and thereby, possibly in concert with commensal microorganisms20, result in an inflammation-prone state, thus suggesting a mechanistic hypothesis and possible therapeutic targets.

Data accession

The genotype data for the 311,459 SNPs in 1215 Behçet's disease cases and 1278 healthy controls from Turkey have been deposited in the National Institutes of Health database of genes and phenotypes, dbGaP (http://www.ncbi.nlm.nih.gov/sites/entrez?db=gap), accession number: phs000272.v1.p1
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Journal:  Immunogenetics       Date:  2003-11-06       Impact factor: 2.846

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1.  A GWAS follow-up study reveals the association of the IL12RB2 gene with systemic sclerosis in Caucasian populations.

Authors:  Lara Bossini-Castillo; Jose-Ezequiel Martin; Jasper Broen; Olga Gorlova; Carmen P Simeón; Lorenzo Beretta; Madelon C Vonk; Jose Luis Callejas; Ivan Castellví; Patricia Carreira; Francisco José García-Hernández; Mónica Fernández Castro; Marieke J H Coenen; Gabriela Riemekasten; Torsten Witte; Nicolas Hunzelmann; Alexander Kreuter; Jörg H W Distler; Bobby P Koeleman; Alexandre E Voskuyl; Annemie J Schuerwegh; Øyvind Palm; Roger Hesselstrand; Annika Nordin; Paolo Airó; Claudio Lunardi; Raffaella Scorza; Paul Shiels; Jacob M van Laar; Ariane Herrick; Jane Worthington; Christopher Denton; Filemon K Tan; Frank C Arnett; Sandeep K Agarwal; Shervin Assassi; Carmen Fonseca; Maureen D Mayes; Timothy R D J Radstake; Javier Martin
Journal:  Hum Mol Genet       Date:  2011-11-10       Impact factor: 6.150

2.  Determination of human anticytokine autoantibody profiles using a particle-based approach.

Authors:  Li Ding; Allen Mo; Kamonwan Jutivorakool; Minjal Pancholi; Steven M Holland; Sarah K Browne
Journal:  J Clin Immunol       Date:  2011-12-06       Impact factor: 8.317

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Authors:  François Willermain; James T Rosenbaum; Bahram Bodaghi; Holly L Rosenzweig; Sarah Childers; Travis Behrend; Gerhild Wildner; Andrew D Dick
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Review 4.  Type I IFN-mediated regulation of IL-1 production in inflammatory disorders.

Authors:  Kristina Ludigs; Valeriy Parfenov; Renaud A Du Pasquier; Greta Guarda
Journal:  Cell Mol Life Sci       Date:  2012-04-24       Impact factor: 9.261

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Authors:  H Yazici; S Ugurlu; E Seyahi
Journal:  Clin Rev Allergy Immunol       Date:  2012-12       Impact factor: 8.667

6.  Genome-wide association studies identify IL23R-IL12RB2 and IL10 as Behçet's disease susceptibility loci.

Authors:  Nobuhisa Mizuki; Akira Meguro; Masao Ota; Shigeaki Ohno; Tomoko Shiota; Tatsukata Kawagoe; Norihiko Ito; Jiro Kera; Eiichi Okada; Keisuke Yatsu; Yeong-Wook Song; Eun-Bong Lee; Nobuyoshi Kitaichi; Kenichi Namba; Yukihiro Horie; Mitsuhiro Takeno; Sunao Sugita; Manabu Mochizuki; Seiamak Bahram; Yoshiaki Ishigatsubo; Hidetoshi Inoko
Journal:  Nat Genet       Date:  2010-07-11       Impact factor: 38.330

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Journal:  Nat Immunol       Date:  2012-02-05       Impact factor: 25.606

8.  Single center study on ethnic and clinical features of Behcet's disease in Moscow, Russia.

Authors:  Anton Lennikov; Zemfira Alekberova; Regina Goloeva; Nobuyoshi Kitaichi; Lev Denisov; Kenichi Namba; Mitsuhiro Takeno; Yoshiaki Ishigatsubo; Nobuhisa Mizuki; Eugeny Nasonov; Susumu Ishida; Shigeaki Ohno
Journal:  Clin Rheumatol       Date:  2013-12-10       Impact factor: 2.980

9.  Correlation between IL-17A/F, IL-23, IL-35 and IL-12/-23 (p40) levels in peripheral blood lymphocyte cultures and disease activity in Behcet's patients.

Authors:  Cemile Sonmez; Aysegul Atak Yucel; Turan Hilmi Yesil; Hamit Kucuk; Berna Sezgin; Ridvan Mercan; Ahmet Eftal Yucel; Gulderen Yanikkaya Demirel
Journal:  Clin Rheumatol       Date:  2018-03-20       Impact factor: 2.980

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