Literature DB >> 24151497

Association Analysis of IL10, TNF-α, and IL23R-IL12RB2 SNPs with Behçet's Disease Risk in Western Algeria.

Ouahiba Khaib Dit Naib1, Mourad Aribi, Aicha Idder, Amel Chiali, Hakim Sairi, Isabelle Touitou, Gérard Lefranc, Mouna Barat-Houari.   

Abstract

OBJECTIVE: We have conducted the first study of the association of interleukin (IL)-10, tumor necrosis factor alpha (TNF-α), and IL23R-IL12RB2 region single nucleotide polymorphisms (SNPs) with Behçet's disease (BD) in Western Algeria.
METHODS: A total of 51 BD patients and 96 unrelated controls from West region of Algeria were genotyped by direct sequencing for 11 SNPs including 2 SNPs from the IL10 promoter [c.-819T > C (rs1800871), c.-592A > C (rs1800872)], 6 SNPs from the TNF-α promoter [c.-1211T > C (rs1799964), c.-1043C > A (rs1800630), c.-1037C > T (rs1799724), c.-556G > A (rs1800750), c.-488G > A (rs1800629), and c.-418G > A (rs361525)], and 3 SNPs from the IL23R-IL12RB2 region [g.67747415A > C (rs12119179), g.67740092G > A (rs11209032), and g.67760140T > C (rs924080)].
RESULTS: The minor alleles c.-819T and c.-592A were significantly associated with BD [odds ratio (OR) = 2.18; 95% confidence interval (CI) 1.28-3.73, p = 0.003]; whereas, there was weaker association between TNF-α promoter SNPs or IL23R-IL12RB2 region and disease risk.
CONCLUSION: Unlike the TNF-α and the IL23R-IL12RB2 region SNPs, the two IL10 SNPs were strongly associated with BD. The -819T, and -592A alleles and the -819TT, -819CT, and -592AA and -592CA genotypes seem to be highly involved in the risk of developing of BD in the population of Western Algeria.

Entities:  

Keywords:  Behçet’s disease; IL10; IL23R-IL12RB2; TNF-α; Western Algeria; genetic association; single nucleotide polymorphism

Year:  2013        PMID: 24151497      PMCID: PMC3801160          DOI: 10.3389/fimmu.2013.00342

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


Introduction

Behçet’s disease (BD) is a systemic inflammatory multifactorial disease (1). It is characterized by recurrent episodes of oral and genital ulceration, skin, and ocular lesions (2). The disease is now recognized as a systemic vasculitis, given that it can affect other tissues and organs including blood vessels, the digestive tract, and nervous system (3, 4). The etiology of BD is not fully elucidated. There is a hypothesis that a pathogenic autoimmune process of BD is triggered by an infectious or environmental agent, in individuals genetically predisposed (5). The most strongly genetic factor associated with the disease is HLA B51 (5, 6). This association was initially described in 1973 (7) and subsequently confirmed in different ethnic groups (6, 8, 9). However, the association between BD and HLA B51 represents only 20% in the siblings of patients with the disease (10), and 50% of cases with BD are negative for this allele (8, 9). These observations suggest the existence of other risk factors outside the HLA region. In fact, several recent genome-wide association studies have identified additional and new genomic regions that predispose to the disease (11–14). The BD causes inflammation and chronic immune activation within small blood vessels (15–17). The site of inflammation is usually characterized by infiltration of immune cells as well as by highly elevated levels of different cytokines (18). IL-10 is one of the most important cytokines that has been observed at increased level in the serum and active lesions of BD patients (19–21). TNF-α and soluble TNF-α receptors are also elevated in the sera of patients with BD (22–24). Both IL-10 and TNF-α cytokines have been shown to play an important role in the immunopathology of autoimmune diseases (25–28), and an opposite roles in the inflammatory responses (29, 30). An autoregulatory loop appears to exist in whereby TNF-α induces IL-10 production, which ultimately reduces TNF-α synthesis (31, 32). It has been suggested that the increase of IL-10 may down-regulate the expression of NO, prompting the protective role of elevation of IL-10 (33). Additionally, treatment with anti-TNF-α monoclonal antibodies has resulted in improvement of various manifestations of BD (34, 35). IL-10 and TNF-α production may be regulated at the transcriptional level. Thus, several single nucleotide polymorphisms (SNPs) at the promoter of IL10 and TNF-α gene have been shown to be associated with changes in the expression levels of IL-10 and TNF-α production (36, 37). On the other hand, numerous recent studies have demonstrated an association between BD and several IL10 (13, 14, 38, 39) and TNF-α (39–43) SNPs in different ethnic groups. However, to date, there are no analogous or identical investigations in Algeria. Two others cytokines, IL-23 and IL-12, may play an important role in BD pathogenesis; their levels are elevated in BD patients (44–46). IL-23 drives and promotes the development of a unique T-helper cell population that produces IL-17, Th17 cells. These IL-23-driven Th17 cells are highly pathogenic and elicit IL-17-dependent inflammation in autoimmune diseases (47). IL-12, a heterodimeric cytokine, is of crucial relevance to cell-mediated immunity and Th1 differentiation (48). This cytokine exerts its biological effects via binding to a heterodimeric receptor consisting of IL12RB2 and IL-12RB1 subunits. The effect of IL-23 and IL-12 is mediated through the IL-23 and the IL-12 receptor (IL-23R, IL-12RB1). The genes that encode these receptors are adjacent on chromosome 1p31; a GWAS Studies revealed that IL23R-IL12RB2 region is associated with BD (13, 14). Nevertheless, its association in the pathogenesis of BD remains to be confirmed in different ethnic groups. In this context, we examined genetic association for 11 SNPs in IL10, TNF-α, and IL23R-IL12RB2 candidate genes with BD in Western Algeria.

Materials and Methods

Patients and subjects

Fifty-one (51) unrelated BD patients and age- and sex-matched 96 healthy controls originate from the Western Algeria were recruited for a case-control study at the Oran Ophthalmic Hamou Boutlelis Hospital, the Department of Dermatology of Oran Medical Centre University, and the Oran Blood Transfusion Centre (Algeria). Among the 51 patients, 11 DNA belonging to Algerian origin, were selected from the biobank DNA for Genetics Laboratory of Autoinflammatory Diseases, Arnaud de Villeneuve Hospital, Montpellier (France). Consent was signed by each participant or participant’s parent or legal guardian if entrant is a minor, under the Rules of Ethics and Professional Conduct. Patient characteristics were recorded using a questionnaire. The diagnosis of patients was based especially on the criteria proposed in 1990 (49). The control group was composed of healthy subjects without a family history of autoinflammatory diseases, and selected from the same population. This work was approved by the Institutional Ethics Board of Tlemcen Abou-Bekr Belkaïd University.

Genotyping

Each DNA was genotyped for 11 SNPs, including two IL10 promoter SNPs [c.-819T > C (rs1800871), c.-592A > C (rs1800872)], six SNPs from the TNF-α promoter [c.-1211T > C (rs1799964), c.-1043C > A (rs1800630), c.-1037C > T (rs1799724), c.-556G > A (rs1800750), c.-488G > A (rs1800629), and c.-418G > A (rs361525)], and three SNPs from the IL23R-IL12RB2 region [g.67747415A > C (rs12119179), g.67740092G > A (rs11209032), and g.67760140T > C (rs924080)]. Genotyping was performed at the Laboratory of Genetics of Autoinflammatory Diseases, Arnaud de Villeneuve Hospital, Montpellier (France). Genomic DNA was isolated from peripheral blood, drawed on EDTA anti-coagulant, using QIAamp DNA Blood Kits (Qiagen, Valencia, CA, USA). The DNA samples were then dosed by spectrophotometry ND-1000 (Nano Drop Technologies, Wilmington, DE, USA) at 260 and 280 nm. The DNA concentration and ratio OD260/OD280 were estimated for each sample (50). The DNA samples were subsequently amplified in a Applied Biosystems Thermocycler (Applied Biosystems, Foster City, CA, USA) in a 15 μL reaction volume containing 50 ng DNA, 2X Promega PCR Master Mix, and 25 μM of each primer (Table 1). The PCR programs were as follows: after a denaturation phase of 15 min at 95°C, the samples were subjected to 35 amplification cycles followed by a final elongation step of 7 min at 72°C. Each cycle comprises 30 s denaturation at 95°C, 30 s of primer annealing at 60°C, and 1 min extension at 72°C.
Table 1

Primers sequence and length product.

LociSNPsForward primerReverse primerProduct length (bp)
IL10rs1800871 rs1800872TTAGACTCCAGCCACAGAAGCGGGGGACCCAATTATTTCTC597
TNF-αrs1799964 rs1800630 rs1799724GTGTGTCTGGGAGTGAGAACTTCCTTCTTTCATTCTGACCCGG570
rs1800750 rs1800629 rs611525CTCAGGACTCAACACAGCTTTTCGAAAGAATCATTCAACCAGCG438
IL23R-IL12RB2 regionrs11209032GGAGTTAAACCTCTTGCTATCCTGGATGCACAATGAGTTGATAAGG164
rs12119179TACCCAGGGCATTCAGCTACGCTTGAGCTCCTGGATCAAG701
rs924080GCACGTATGCCTTTTTGCATAATTTGAATGTGCCTTGGCAT364

bp, base pair; IL, interleukin; rs, reference SNP; SNP, single nucleotide polymorphism; TNF, tumor necrosis factor.

Primers sequence and length product. bp, base pair; IL, interleukin; rs, reference SNP; SNP, single nucleotide polymorphism; TNF, tumor necrosis factor. After checking the quality and size of the PCR products by agarose gel (1.5%) electrophoresis, SNPs genotyping was performed by direct sequencing using the BigDye Terminator version 3.1 (BDT v3.1) Cycle Sequencing Kit, followed by capillary electrophoresis on an ABI 3100XL Genetic Analyzer, according to the manufacturer’s recommendations (Applied Biosystems, Foster City, CA, USA) (Figure 1).
Figure 1

Electropherogram of rs1800871 and rs1800872. rs, reference SNP; SNP, single nucleotide polymorphism.

Electropherogram of rs1800871 and rs1800872. rs, reference SNP; SNP, single nucleotide polymorphism.

Statistical analysis

Comparisons of allele and genotype frequencies between groups (patients versus control subjects, and between the patient’s groups according to different clinical features) were performed using the Chi-square or Fisher’s exact tests. The association analysis was carried out by Odds ratio (OR) and corresponding 95% confidence interval (95% CI). Statistical analyses were performed using GraphPad Prism Version 5.04 (GraphPad Software, Inc., La Jolla, CA, USA) and Epi Info 2000 Version 1.0 for Windows (Epi Info, Atlanta, GA, USA) software.

Results

Table 2 shows the description of the clinical characteristics of the patients with BD of the current study. The mean age (±SD) of the patients at disease onset was 26 ± 11 years. Predominant lesions were oral ulcers (100%), cutaneous lesions (86.27%), genital ulcers (82.35%), eye lesions (62.74%), and arthritis (58.82%).
Table 2

Clinical and demographic features of the Behçet patients of the current study.

CharacteristicsFrequency (n = 51)
Mean age at disease onset ± SD (year)26 ± 11
Sex ratio M/F (%, n)56.9/43.1 (29/22)
Oral ulcers (%, n)100 (51)
Genital ulcers (%, n)82.4 (42)
Cutaneous lesions (%, n)86.3 (44)
Eye lesions (%, n)62.7 (32)
Neurological symptoms (%, n)35.3 (18)
Venous thrombosis (%, n)25.5 (13)
Arthritis (%, n)58.8 (30)
Multiplex family (%, n)35.3 (18)
pediatric case (%, n)19.6 (10)
consanguinity (%, n)43.1 (22)

SD, standard deviation.

Clinical and demographic features of the Behçet patients of the current study. SD, standard deviation. The distribution of alleles and genotypes frequencies of IL10 promoter SNPs c.-819C > T (rs1800871) and c.-592C > A (rs1800872) showed that the two SNPs were in total linkage disequilibrium in our sample. For this, reason the results of one SNP c.-819C > T will be considered (Table 3).
Table 3

Allelic and genotypic frequencies of rs1800871 variant in BD patients and controls.

Alleles and genotypesFrequencies (%)
p
Controls (n = 96)Cases (n = 51)
C141 (73.4)57 (55.9)0.003**
T51 (26.6)45 (44.1)
CC50 (52.1)17 (33.3)0.005**
CT41 (42.7)23 (45.1)
TT5 (5.2)11 (21.6)

BD, Behçet’s disease; SNP, single nucleotide polymorphism; rs, reference SNP. **.

Allelic and genotypic frequencies of rs1800871 variant in BD patients and controls. BD, Behçet’s disease; SNP, single nucleotide polymorphism; rs, reference SNP. **. The allele frequencies were significantly different in patients compared to controls. As indicated in Table 3, the frequencies of c.-819T (rs1800871) allele, and of the -819TT, -819CT (rs1800871) genotypes were significantly increased in patients than in controls (p = 0.003 and p = 0.005, respectively). Additionally, these SNPs was significantly associated with the disease (c.-819T; OR = 2.18, 95% CI 1.28–3.73, p < 0.01; -819TT and -819CT, OR = 2.17, 95% CI 1.01–4.69, p < 0.05) (Figure 2).
Figure 2

Odds ratios for associations between . The two SNPs c.-819C > T and c.-592C > A are in total linkage disequilibrium in our sample; therefore, the results of only one SNP c.-819C > T is considered. CI, confidence interval; rs, reference SNP; SNP, single nucleotide polymorphism.

Odds ratios for associations between . The two SNPs c.-819C > T and c.-592C > A are in total linkage disequilibrium in our sample; therefore, the results of only one SNP c.-819C > T is considered. CI, confidence interval; rs, reference SNP; SNP, single nucleotide polymorphism. A subset analysis was performed to examine the difference in allele frequencies in clinical subsets of BD (Table 4). We observed a significant association between c.-819T and all classes; nevertheless, the association was slightly lower for the ocular lesion (OR = 1.55, 95% CI 0.81–2.96, p > 0.05). Additionally, the association was more significant for the Genital ulcers (OR = 2.21; 95% CI 1.29–4.04, p = 0.002).
Table 4

Association analysis of clinical subclasses with .

Clinical subsetOR95% CI
p
LLUL
Eye disease1.550.812.960.152
Genital ulcers2.211.294.040.002**
Skin lesions2.071.173.680.007**
Arthritis-arthralgia2.061.113.810.013*
Neurologic signs2.51.185.320.009**

CI, confidence interval; LL, lower limit; UP, upper limit; OR, odds ratio; SNP, single nucleotide polymorphism. *.

Association analysis of clinical subclasses with . CI, confidence interval; LL, lower limit; UP, upper limit; OR, odds ratio; SNP, single nucleotide polymorphism. *. We reported in Tables 5 and 6 that all IL23R-IL12RB2 SNPs alleles and genotypes, respectively, were not significantly associated with the disease (OR > 1, p > 0.05). The minor allele frequencies were different in the two groups, but this difference did not reach statistical significance (p > 0.05).
Table 5

.

LociSNPsAlleles frequency (proportion, %)OR (95% CI)p
IL23R-IL12RB2rs12119179 (g.67747415A > C)AC1.24 (0.72–2.13)0.415
Patients67 (65.7)35 (34.3)
Controls135 (70.3)57 (29.7)
rs11209032 (g.67740092G > A)GA1.18 (0.68–2.03)0.530
Patients67 (65.7)35 (34.3)
Controls133 (69.3)59 (30.7)
rs924080 (g.67760140T > C)TC1.45 (0.87–2.41)0.133
Patients54 (52.9)48 (47.1)
Controls84 (43.8)108 (56.3)
TNFrs1799964 (c.-1211T > C)TC0.92 (0.52–1.61)0.751
Patients73 (71.6)29 (28.4)
Controls134 (69.8)58 (30.2)
rs1800630 (c.-1043C > A)CA0.83 (0.41–1.67)0.584
Patients86 (84.3)16 (15.7)
Controls157 (81.8)35 (18.2)
rs17999724 (c.-1037C > T)CT1.01 (0.35–2.84)0.976
Patients95 (93.1)7 (6.9)
Controls179 (93.3)13 (6.7)
rs1800750 (c.-556G > A)GA0.61 (0.14–2.09)0.402
Patients98 (96.1)4 (3.9)
Controls180 (93.7)12 (6.3)
rs1800629 (c.-488G > A)GA1.12 (0.56–2.26)0.726
Patients85 (83.3)17 (16.7)
Controls163 (84.9)29 (15.1)
rs361525 (c.-418G > A)GA0.93 (0.39–2.21)0.869
Patients92 (90.2)10 (9.8)
Controls172 (89.6)20 (10.4)

CI, confidence interval; .

Table 6

The distribution of .

SNPsGenotype distribution (frequency, %)p-ValueOR (95% CI) p-valueMAF (%)ORMAF (95% CI) p-value
rs12119179 (g.67747415A > C)AAACCC0.5221.13 (0.54–2.35) 0.734C1.24 (0.58–2.67) 0.580
Patients24 (47.1)19 (37.2)8 (15.7)34.31
Controls48 (50)39 (40.6)9 (9.4)29.69
rs11209032 (g.67740092G > A)GGGAAA0.7211.12 (0.57–2.21) 0.744A1.18 (0.71–1.97) 0.560
Patients23 (45.1)21 (41.2)7 (13.7)34.31
Controls46 (47.9)41 (42.7)9 (9.4)30.73
rs924080 (g.67760140T > C)CCCTTT0.3271.46 (0.64–3.35) 0.326C1.58 (0.71–3.54) 0.264
Patients13 (25.5)22 (43.1)16 (31.4)47.1
Controls32 (33.4)44 (45.8)20 (20.8)56.25

ORs were calculated for the minor versus major alleles. CI, confidence interval; .

. CI, confidence interval; . The distribution of . ORs were calculated for the minor versus major alleles. CI, confidence interval; . As indicated in Tables 5 and 7, alleles and genotypes of the TNF-α polymorphisms display similar distributions in patients and controls (p > 0.05). Except for c.-1037T and c.-488A all others TNF-α alleles were not associated with BD (OR < 1).
Table 7

The distribution of .

SNPsGenotype distribution (frequency, %)p-ValueOR (95% CI) p-valueMAF (%)ORMAF (95% CI) p-value
rs1799964 (c.-1211T > C)TTTCCC0.1140.67 (0.32–1.4) 0.249C0.8 (0.37–1.75) 0.580
Patients29 (56.9)15 (29.4)7 (13.7)28.43
Controls45 (46.9)44 (45.8)7 (7.29)30.21
rs1800630 (c.-1043C > A)CCCAAA0.8260.79 (0.35–1.78) 0.544A0.78 (0.31–1.97) 0.600
Patients37 (72.5)12 (23.5)2 (4)15.69
Controls65 (67.7)27 (28.1)4 (4.2)18.23
rs17999724 (c.-1037C > T)CCCTTTND1.23 (0.4–3.74) 0.690T1.26 (0.34–4.69) 0.733
Patients44 (86.3)7 (13.7)0 (0)6.86
Controls83 (86.5)13 (13.5)0 (0)6.77
rs1800750 (c.-556G > A)GGGAAAND0.6 (0.13–2.12) 0.388A0.6 (0.12–3.07) 0.536
Patients47 (92.2)4 (7.8)0 (0)3.92
Controls84 (87.5)12 (12.5)0 (0)6.25
rs1800629 (c.-488G > A)GGGAAA0.9091.17 (0.52–2.61) 0.680A1.18 (0.47–2.97) 0.721
Patients35 (68.6)15 (29.4)1 (2)16.67
Controls69 (71.9)25 (26)2 (2.1)15.1
rs361525 (c.-418G > A)GGGAAA0.2990.75 (0.28–2.02) 0.541A0.9 (0.29–2.79) 0.849
Patients43 (84.3)6 (11.8)2 (3.9)9.8
Controls77 (80.2)18 (18.8)1 (1)10.42

ORs were calculated for the minor versus major alleles. CI, confidence interval; MAF, minor allele frequency; ND, not defined; OR, odds ratio; OR.

The distribution of . ORs were calculated for the minor versus major alleles. CI, confidence interval; MAF, minor allele frequency; ND, not defined; OR, odds ratio; OR.

Discussion

To date, the etiopathogenesis of BD is not fully elucidated. Researches in recent decades have shown the complex role of genetic factors in the development of the disease. We analyze the association between BD and 11 SNPs in IL10, TNF-α, and IL23R-IL12RB2 candidate genes in the Western Algeria population. This is the first report demonstrating that the c.-819T and c.-592A alleles were associated with BD in Algeria. Previous genetic studies have shown a strong association of many IL10 variants with BD in different ethnic groups. Recent genome-wide association study conducted by Mizuki et al. (14) in a Japanese cohort, including 612 individuals with BD and 740 unaffected individuals controls from different ethnic groups, has shown a significant difference between the two groups for five IL10 SNPs. The two SNPs analyzed in our study showed an association (OR = 2.18, 95% CI 1.28–3.73, p < 0.01). On the other hand, a strong association has also been highlighted for IL10 rs1518111 (OR = 1.45, 95% CI 1.34–1.58) in a genome-wide study performed in 311,459 SNPs in 1215 individuals with BD and 1278 healthy controls from Turkey (13). Our results are consistent with those obtained by Wallace et al. (38) who studied the segregation of two IL10 promoter SNPs, rs1800871 and rs1800896 in 178 cases and 295 controls from two populations, including Arab Middle East and United Kingdom. A strong association of the 819T allele has been observed in United Kingdom patients (OR 1.5, 95% CI 1.1–2). Our results are, however, in disagreement with those of the study of Ates et al. (39) in which no significant association was revealed by exploring three IL10 SNPs (-1082G > A, rs1800896, c.-819C > T, rs1800871, and c.-592C > A, rs1800872) in 102 patients with BD and 102 controls from Turkey. These conflicting results may be explained by ethnic differences. Several studies have shown the association of the two (c.-819 C > T, c.-592C > A) studied SNPs with various inflammatory diseases, but also with cancer (51–53), periodontitis (54), and docetaxel-induced liver injury (55). These associations suggested that the two SNPs can play an important role in the expression of IL10. In fact, it has been previously reported that the SNP c.-819C > T and/or c.-592C > A alleles affect the transcription of IL10 (56). Other studies performed on three SNPs at position -1082 A > G, -819C > T, and -592C > A in the promoter region of the IL10 gene have shown that the expression levels of IL-10 was significantly different according to the some haplotypes (57, 58). Finally, it has been reported that the disease-associated rs1518111 allele seems to be associated with low IL-10 mRNA expression and protein production (13). Indeed at the SNP rs1518111 locus, the rate of transcript of the G allele is higher than that of the A allele and patients homozygous for the A allele produce less IL-10 than those who are heterozygous or homozygous for the G allele. The result of subset analysis suggests that the risk allele might predispose to genital ulcers, skin lesions, neurologic signs, and arthritis-arthralgia, but weakly to eye complications; the association was more significant for the genital ulcers (OR = 2.21, p = 0.002). Our results are in agreement with those of previous study (21) that showed a variable increase in mRNA expression within all BD lesions, including oral and genital ulcers, pseudofolliculitis lesions, and lesions at the site of pathergy testing. Recent GWAS study from Turkey and Japan revealed IL12R-IL23RB2 SNPs in association with BD. Three SNPs were strongly associated with the disease, including rs924080 (OR = 1.28, p = 6.69 × 10−9) (13), rs12119179 (p = 2.7 × 10−8), and rs1495965 (OR = 1.35, p = 1.9 × 10−11) (14), but no significant association was found in a Korean cohort. Our results showed no significant association between BD and rs12119179, g.67740092G > A (rs11209032), and g.67760140T > C (rs924080) SNPs in the IL23R-IL12RB2 region. In Iranian study (59), six SNPs in IL23R-IL12RB2 were found to be associated with BD; the most significant of which were rs17375018 (OR = 1.51, p = 1.93 × 10−6), rs7517847 (OR = 1.48, p = 1.23 × 10−6), and rs924080 (OR = 1.29, p = 1.78 × 10−5). Others studies have also identified a strong relationship between polymorphisms of IL23R and BD (60–62). These associations may suggest an important role of Th17 cells that express the IL-23R on their surface. Kim et al. (62) studied the interaction of specific IL17A, IL23R, and STAT4 (signal transducers and activators of transcription 4) SNPs in intestinal BD Korean patients; they suggest that the IL-23/IL-17 axis plays a significant role in disease pathogenesis. IL-12 has been implicated in the pathogenesis of a multitude of diverse autoimmune diseases (63, 64). IL12RB2 constitute a risk factor for primary biliary cirrhosis, with the reported top associated SNPs mainly located in intronic sequences (65–67). The genetic architecture and modularity of human autoimmune diseases is very complex. The functional implications of most of these associations are not yet clarified. Identify candidate causal SNPs and pathways (ICSN Pathway) analysis may act as a powerful guide to further research into the functional and immunological ramifications of these associations. No significant associations were found between BD and studied TNF-α polymorphisms. These SNPs have been studied in various ethnic groups for possible association with BD. However, the allelic and genotypic associations of these studies have been contradictory. In Korean patients, TNF-α c.-1043A (rs1800630) allele was associated with an increased risk of BD (OR = 1.4, p = 0.030) (68). However, no significant association was found in meta-analysis studies for this SNP (42). Additionally, it has been reported a significant associations between c.-1037T allele (rs1799724) (OR = 0.76, 95% CI 0.58–0.98), c.-488G allele (rs1800629) (OR = 1.8, p = 0.010) (68), and c.-418A allele (rs361525) (OR = 1.51, 95% CI 1.12–2.04) (42), and BD. Moreover, no significant associations were identified with other TNF-α promoter polymorphisms, such as c.-1037T (rs1799724), c.-488A (rs1800629), and c.-556G > A (rs1800750) alleles with BD in Moroccan patients (43). The TNF-α c.-1211C allele (rs1799964) presented a significant association with BD in several populations, including Turkish (p = 0.023) (69), Korean (p = 0.030, OR = 1.4) (68), and UK white Caucasoid population (RR = 2.3, p = 0.00004) (40). The frequency of the TNF-α c.-1211C allele was significantly higher in Behcet’s patients than in healthy controls in Moroccan and Tunisian populations (OR = 1.65, p = 0.015; OR = 1.68, p = 0.02, respectively) (41, 43) and in meta-analysis (OR = 1.35, 95% CI 1.09–1.68) (42). This polymorphism has been associated with several extra-intestinal manifestations of Crohn’s disease, including uveitis, erythema nodosum, and large joint arthropathy (70), all of which are known to be associated with BD. Further investigation is necessary to determine the functional significance of TNF-α c.-1691042C and how it participates in the inflammatory dysregulation associated with BD. Thus, polymorphisms at positions c.-1211T > C, c.-1043C > A, c.-1037C > T, and c.-488G > A have been associated with increased transcriptional activity and production of TNF-α in some studies (37, 71), in contrast to others (72–75). The over production of TNF-α during the course of BD may result in other TNF-α polymorphisms or post-transcriptional mechanisms. Furthermore, TNF-α production is not only under the control of the promoter region of TNF-α, and it may also result from complex cis and trans interactions among other cytokines. TNF-α is encoded in the HLA complex on chromosome 6, a region that has long been known to be associated with BD. This gene-dense region, presentes a strong linkage disequilibrium (76). The association between BD and TNF-α could therefore be a result of linkage disequilibrium with alleles within this group. So it will be interesting to investigate other genes polymorphism among this region in our population. In conclusion, we replicate the associations between BD and the SNPs from the IL23R-IL12RB2 region and c.-1037C > T and c.-488G > A TNF-α promoter SNPs. IL10 promoter SNPs (rs1800871 and rs1800872) is strongly associated with BD in the population of the Western Algeria. It would be interesting to study other SNPs to identify additional associations with BD in the studied population.

Authors Contribution

Mourad Aribi, Gérard Lefranc are Principal Investigators of the study, participated in its design and execution and helped draft the manuscript and critically reviewed it for intellectual content; Mouna Barat-Houari participated in the design of the study, carried out genetic analyses, and helped draft the manuscript; Ouahiba Khaib Dit Naib wrote the manuscript and carried out genetic analyses; Aicha Idder, Amel Chiali, and Hakim Sairi are responsible for the recruitment of eligible patients and their families; Isabelle Touitou conceived of the study, participated in its design, and coordination. All the authors read and approved the final manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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