Journal List > Yonsei Med J > v.57(1) > 1031901

Shang, Wang, Wang, Pan, Liu, Li, Chen, and Xia: Association between Toll-Like Receptor 9-1237T/C Polymorphism and the Susceptibility of Inflammatory Bowel Diseases: A Meta-Analysis

Abstract

Purpose

The -1237T/C polymorphism of the Toll-like receptor 9 (TLR9) gene has been implicated in the susceptibility of inflammatory bowel diseases (IBDs), but the results remain conflicting. We further investigated this association via meta-analysis.

Materials and Methods

Multiple electronic databases were extensively searched until February, 2015. The strength of association was evaluated by calculating the pooled odds ratios (ORs) and 95% confidence intervals (CIs).

Results

A total of 2987 cases and 2388 controls from eight studies were analyzed. Overall, association was found between TLR9 -1237T/C polymorphism and the risk of IBDs when all the studies were pooled (recessive model, OR: 1.59, 95% CI: 1.02-2.47, p=0.04; homozygote comparison, OR: 1.62, 95% CI: 1.04-2.52, p=0.03; allele model, OR: 1.13, 95% CI: 1.00-1.27, p=0.05). Stratification by ethnicity indicated an association between TLR9 -1237T/C polymorphism and IBDs risk in Caucasians (recessive model, OR: 1.59, 95% CI: 1.02-2.47, p=0.04; homozygote comparison, OR: 1.62, 95% CI: 1.04-2.52, p=0.03; allele model, OR: 1.12, 95% CI: 1.00-1.27, p=0.05). When stratified by disease type, significant correlation were only found in the Crohn's disease subgroup (recessive model, OR: 1.69, 95% CI: 1.05-2.73, p=0.03; homozygote model, OR: 1.74, 95% CI: 1.07-2.82, p=0.02; allele model, OR: 1.15, 95% CI: 1.01-1.32, p=0.04).

Conclusion

The present study suggested that the TLR9 -1237T/C polymorphism might act as a risk factor in the development of IBDs, particularly in Caucasians.

INTRODUCTION

Inflammatory bowel diseases (IBDs), which include Crohn's disease (CD) and ulcerative colitis (UC), are idiopathic and chronic inflammatory disorders of the gastrointestinal tract.1 UC is characterized by inflammation that is limited to the mucosal and sub-mucosal layers of the colon and rectum. Conversely, in CD, the inflammation may involve any part of the gastrointestinal tract in a non-continuous fashion.2 The incidence of IBD is increasing around the world, and its influence on morbidity and mortality are quite significant.3 To date, the definite etiology of IBDs remains elusive. Nevertheless, growing evidence has indicated that IBDs result from a complicated inflammatory response in which environmental and genetic factors may play important roles.45
Toll-like receptors (TLRs) represent a group of pattern recognition receptors (PRRs) that can be activated through the recognition of pathogen-associated molecular patterns (PAMPs).6 There are ten different TLRs that have been identified in humans, and TLR9 is one of them. TLR9 is characterized by recognizing unmethylated CpG DNA and acting as an effective sensor for bacterial infection.7 Different from other TLRs, the PAMP recognition of TLR9 mainly takes place on the surface of the endosomal compartment. When CpG-DNA binds to TLR9, MyD88 is recruited, leading to phosphorylation of IRAK and TRAF6, at which point the transcription factor NF-κB is finally activated.8 The gene encoding TLR9 is located on the chromosome 3p21.3, which is in the vicinity of one susceptible region for IBDs.9 Numerous single nucleotide polymorphisms (SNPs) have been identified for the TLR9 gene, and the -1237T/C polymorphism (rs5743836) is the most significant.101112 It has been proven that the rs5743836 T/C polymorphism can lead to a T-to-C exchange in the promoter region of TLR9 at position -1237, which can create a potential binding site for NF-κB.13
A number of recent case-control studies have been carried out to evaluate the association between TLR9-1237T/C polymorphism and the susceptibility of IBDs.1415161718192021 However, the results are controversial. A meta-analysis is a powerful method to deal with these ambiguities and can enhance the statistical power of genetic association studies.22 Thus, we performed this meta-analysis to determine the exact relationship between TLR9-1237T/C polymorphism and the risk of IBDs.

MATERIALS AND METHODS

Search strategy

A comprehensive search was conducted for this meta-analysis on the association between TLR9-1237T/C polymorphism and IBDs without language restrictions. Relevant publications were selected using the following electronic databases: PubMed, Web of Knowledge, and the Chinese National Knowledge Infrastructure (CNKI), with the most recent report dated February, 2015. The following terms were used as search keywords: ("TLR9" or "Toll-like receptor 9"), ("polymorphism," "variant," or "SNP"), and ("inflammatory bowel disease," "Crohn's disease," "ulcerative colitis," "IBD," "CD," or "UC"). The reference list of all retrieved literature was carefully scanned to identify the relevant publications.

Inclusion and exclusion criteria

Studies were included in this meta-analysis if they met all of the following criteria: 1) evaluation of the association between TLR9-1237T/C polymorphism and the risk of IBDs; 2) a case-control design; 3) genotype distribution availability in cases and controls; and 4) consistency of the genotype distributions in the controls with Hardy-Weinberg equilibrium (HWE). Studies were excluded if they met any one of the following criteria: 1) genotype or allele frequencies could not be obtained; 2) duplicated data were used; or 3) data were only presented in reviews, case-reports, or abstracts.

Data extraction

Two authors (Jian Shang & Xiaobing Wang) of this article independently extracted the data from the eligible literature. Discrepancies between the reviewers were solved by discussion or a third author. The following extracted data were included: first author's name, publication year, region, ethnicity, source of control, genotyping method, number of cases and controls, and p-value for HWE. Furthermore, corresponding authors were contacted if the genotype or allele frequencies were not immediately available.

Quality score assessment

The quality of each study was independently assessed by two authors (Jian Shang & Liping Chen) of our study. The quality scoring criteria in this meta-analysis was modified from previous publications (Supplementary Table 1, only online).2324 Total quality scores ranged from 0 points (worst) to 14 points (best).

Statistical analysis

RevMan 5.2 (Cochrane Collaboration, Copenhagen, Denmark) and STATA 12.0 (Stata Corp., College Station, TA, USA) were used to conduct this meta-analysis. The strength of the association between TLR9-1237T/C polymorphism and the risk of IBDs was estimated using pooled odds ratios (ORs) and 95% confidence intervals (CIs). Five different genetic models were performed in our study: a dominant model (TC+CC vs. TT), a recessive model (CC vs. TC+TT), heterozygote comparison (TC vs. TT), homozygote comparison (CC vs. TT), and an allele model (C vs. T). Heterogeneity was estimated using Cochran's Q statistic and I2 statistic; I2 values of 25%, 50%, and 75% were defined as low, moderate, and high heterogeneity, respectively.25 If the p-value of the Q-test was >0.05 or the I2 value was ≤50%, the pooled ORs of each study were calculated using a fixed-effective model. Otherwise, a random-effective model was used.26 Publication bias was calculated using a funnel plot and Egger's test.27 A χ2 test was performed to assess whether the genotype distributions in the control groups conformed to HWE. In addition, subgroup analyses stratified by ethnicity and disease phenotype were also conducted in our study.

RESULTS

Literature retrieval and characteristics of eligible studies

A detailed flow diagram of literature retrieval is shown in Fig. 1. After an initial comprehensive search from the selected databases, 485 articles were initially identified in our study. Among these, 266 were found to contain duplicated data. After screening the remaining 219 papers by reading the titles and abstracts, 12 studies were assessed in more detail. After reading the full texts of these studies, we excluded one paper with incomplete data and three papers with incorrect polymorphism. Ultimately, a total of eight studies assessing the association between TLR9-1237T/C polymorphism and the risk of IBDs were available in the current meta-analysis. Among these, six were performed in Caucasian populations, and two were in Asian populations. Numerous genotyping methods were used in these studies, including single-direction-sequencing (SDS), TaqMan, polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), and matrix-assisted laser desorption/ionization time of flight (MALDI-TOF). Genotype distributions were all in accordance with HWE (Table 1). The precise characteristics of the selected literature are shown in Table 1, and the genotype and allele distributions of cases and controls are summarized in Table 2.

Quantitative data synthesis

A summary of the meta-analysis of the relationship between TLR9-1237T/C polymorphism and the risk of IBDs is shown in Table 3. Overall, significant association was found between TLR9-1237T/C polymorphism and IBDs using recessive (OR: 1.59; 95% CI: 1.02-2.47; p=0.04) (Fig. 2) and homozygote (OR: 1.62; 95% CI: 1.04-2.52; p=0.03) (Fig. 2) genetic models. Additionally, we also found a borderline-significant association of TLR9-1237T/C polymorphism with the risk of IBDs using the allele model (OR: 1.13; 95% CI: 1.00-1.27; p=0.05) (Fig. 2).
In order to clarify the potential difference in ethnicity, a subgroup analysis stratified by population group was performed in our study. Similarly, in Caucasians, there was significant or borderline-significant association between TLR9-1237T/C polymorphism and the risk of IBDs based on recessive (OR: 1.59; 95% CI: 1.02-2.47; p=0.04) (Fig. 3), homozygote (OR: 1.62; 95% CI: 1.04-2.52; p=0.03) (Fig. 4), and allele (OR: 1.12; 95% CI: 1.00-1.27; p=0.05) (Fig. 5) models. However, no significant association was found among Asian populations.
In the subgroup analysis stratified by clinical type, significant association of TLR9-1237T/C polymorphism with CD risk was found using recessive (OR: 1.69; 95% CI: 1.05-2.73; p=0.03) (Fig. 6), homozygote (OR: 1.74; 95% CI: 1.07-2.82; p=0.02) (Fig. 7) and allele (OR: 1.15; 95% CI: 1.01-1.32; p=0.04) (Fig. 8) genetic models. Unfortunately, we failed to find any statistical evidence of association between TLR9-1237T/C polymorphism and risk of disease in the UC subgroup when all contrasts were performed.

Evaluation of heterogeneity

As shown in Table 3, there was no inter-study heterogeneity among the overall studies of TLR9-1237T/C polymorphism for all five genetic models (dominant model: Q=7.08, p=0.42, I2=1%; recessive model: Q=1.48, p=0.92, I2=0%; heterozygote comparison: Q=6.13, p=0.52, I2=0%; homozygote comparison: Q=1.85, p=0.87, I2=0%; allele model: Q=7.47, p=0.38, I2=6%). Therefore, the fixed-effective model was used in our meta-analysis.

Publication bias

Potential publication bias was estimated by evaluating the funnel plot's shape and Egger's test in this meta-analysis. Egger's linear regression test showed a moderate publication bias for the recessive model (CC vs. TT+TC) in the UC subgroup (p=0.019); however, no evidence of publication bias was found for any other genetic models in the overall studies and subgroups (Table 3, Fig. 9).

DISCUSSION

The two major clinical types of IBDs, CD, and UC, are complicated and recurrent intestinal inflammatory disorders that are closely related to the susceptibility of colon cancer.28 CD is characterized by a transmural inflammation of the entire gastrointestinal tract. However, the inflammation of UC is non-transmural and mainly restricted to the colon.2 It has always been considered that IBDs result from an inappropriate inflammatory response to gut microbes in genetically susceptible hosts. Meanwhile, the characteristic of familiar aggregation may indicate a common genetic background across IBDs.29 To date, numerous genetic studies have significantly advanced our understanding of the pathogenesis of IBDs, and many susceptible genes have been identified.30,31,32 Among them, TLR9 gene has been highlighted.
TLR9 is a PRR of the TLR family that can mediate the innate immunity by specifically recognizing the CpG motifs of bacteria DNA.7 The TLR9 gene, located on chromosome 3p21.3, has numerous polymorphisms on its promoter region, and the -1237T/C polymorphism has been mostly studied.9101112 Accumulating evidence has suggested that TLR9-1237T/C polymorphism is associated with multiple inflammatory diseases including asthma,33 systemic lupus erythematosus (SLE),34 and rheumatoid arthritis (RA).35 Recently, a number of case-control studies have been published to illustrate the association of TLR9-1237T/C polymorphism with the susceptibility of IBDs; however, the results are contradictory.1415161718192021 Thus, we thoroughly searched for research on this topic and performed this meta-analysis. To our knowledge, this is the first comprehensive meta-analysis that attempts to determine the exact relationship between TLR9-1237T/C polymorphism and risk of IBDs.
A total of eight publications including 2987 cases and 2388 controls were retrieved in our meta-analysis. The impacts of dominant, recessive, heterozygote, homozygote, and allele genetic models were all evaluated. In addition, considering that the differences in genetic background may have influenced the outcome of the genetic association studies, we also conducted subgroup analyses stratified by ethnicity and disease type. Overall, our results indicated that TLR9-1237T/C polymorphism might act as a risk factor in IBDs. In the recessive model, the risk of IBDs in individuals with CC genotype was 1.59-fold higher than those with TT+TC genotype. On homozygote comparison, the risk of individuals with CC genotype was 1.62-fold higher than the TT carriers. Moreover, our study also suggested an increased risk of IBDs with C allele carriers compared to the T allele carriers, although the discrepancy was only borderline significant (p=0.05).
There were two types of populations in our meta-analysis: Caucasians and Asians. Our data suggested that there was a significant difference between the two ethnicities in the association between TLR9-1237T/C polymorphism and IBD risk. Among the studies involving Caucasians, we found a significant association between rs5743836 T/C polymorphism and the risk of IBDs using the recessive model and homozygote comparison. Furthermore, a borderline-significant association of TLR9-1237T/C polymorphism with IBDs was also found in the allele model. On the other hand, there was no statistical evidence for the association between TLR9-1237T/C polymorphism and the susceptibility of IBDs in Asians.
Considering that the potential clinical type discrepancy might influence the genotype distribution, we then performed the subgroup analyses stratified by disease phenotype. Eight studies were included in the CD subgroup, and our study indicated a pathogenic role of TLR9-1237T/C polymorphism in the development of CD. These results suggested that individuals with CC genotype might have higher risk of CD than those with TT+TC and TT genotypes. Moreover, the risk of CD was also increased in C allele carriers. However, there was no association between TLR9-1237T/C polymorphism and the susceptibility of UC.
As mentioned above, one published dataset indicated that the TLR9-1237T/C polymorphism could lead to a T to C exchange at the position -1237 of the TLR9 gene promoter, which would provide a binding site for transcript factor NF-κB.13 Hence, we speculate that the TLR9-1237T/C polymorphism may influence the susceptibility of IBDs by affecting the transcription of NF-κB. The findings in the subgroup analyses by ethnicity and clinical type were not consistent, suggesting that the association between TLR9-1237T/C polymorphism and risk of IBDs was ethnicity- and disease-specific.
Heterogeneity is a limitation that exists in meta-analyses and may reduce the statistical power and distort the final results. Thus, we performed a χ2-test-based Q test to assess the interstudy heterogeneity in our meta-analysis. Interestingly, there was no evidence of existing heterogeneity among overall study data or subgroup data using all five genetic models. Regarding publication bias, the funnel plot shapes for all five comparisons of overall studies, CD subgroups, Caucasian populations, and Asian populations were symmetrical, and Egger's test similarly did not provide any statistical evidence of publication bias (Table 3). However, there was moderate publication bias in the UC subgroup towards using the recessive model, which may have distorted our results.
Results in the present meta-analysis should be interpreted with caution due to the following limitations. Firstly, the number of studies and individuals were relatively small in our study, which would reduce the statistical power of the meta-analysis determining the relationship between TLR9-1237T/C polymorphism and IBD risk. Secondly, publication bias existed in several comparisons, and this may have distorted our results, as several studies with negative results may have been ignored or may not have been published. Thirdly, we only included literature that was focused on Caucasians and Asians, and future studies should contain more ethnicities.
In summary, our results remain significant despite these limitations. The findings from the present meta-analysis indicated that the TLR9-1237T/C polymorphism might act as a risk factor in the development of IBDs, particularly in Caucasians. Furthermore, our study also suggested a pathogenic role of this polymorphism in the development of CD. However, more large-scaled case-control studies are needed to further confirm our conclusions.

Figures and Tables

Fig. 1

Flow chart of literature retrieval in our meta-analysis.

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Fig. 2

Forest plots for the meta-analysis of the association between TLR9 -1237T/C polymorphism and the susceptibility of IBDs. (A) Recessive model. (B) Homozygote comparison. (C) Allele model. CI, confidence interval; IBD, inflammatory bowel disease.

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Fig. 3

Forest plot for the meta-analysis of the association between TLR9 -1237T/C polymorphism and the susceptibility of IBDs stratified by ethnicity (recessive model). CI, confidence interval; IBD, inflammatory bowel disease.

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Fig. 4

Forest plot for the meta-analysis of the association between TLR9 -1237T/C polymorphism and the susceptibility of IBDs stratified by ethnicity (homozygote comparison). CI, confidence interval; IBD, inflammatory bowel disease.

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Fig. 5

Forest plots for the meta-analysis of the association between TLR9 -1237T/C polymorphism and the susceptibility of IBD stratified by ethnicity (allele model). CI, confidence interval; IBD, inflammatory bowel disease.

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Fig. 6

Forest plot for the meta-analysis of the association between TLR9 -1237T/C polymorphism and the susceptibility of IBDs stratified by clinical type (recessive model). CI, confidence interval; IBD, inflammatory bowel disease; CD, Crohn's disease; UC, ulcerative colitis.

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Fig. 7

Forest plot for the meta-analysis of the association between TLR9 -1237T/C polymorphism and the susceptibility of IBDs stratified by clinical type (homozygote comparison). CI, confidence interval; IBD, inflammatory bowel disease; CD, Crohn's disease; UC, ulcerative colitis.

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Fig. 8

Forest plot for the meta-analysis of the association between TLR9 -1237T/C polymorphism and the susceptibility of IBDs stratified by clinical type (allele model). CI, confidence interval; IBD, inflammatory bowel disease; CD, Crohn's disease; UC, ulcerative colitis.

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Fig. 9

Funnel plots for TLR9 -1237T/C polymorphism and IBDs: (A) dominant model, (B) recessive model, (C) heterozygote comparison, (D) homozygote comparison, and (E) allele model. Each point represents a separate study for the indicated association. SE, standardized effect; IBD, inflammatory bowel disease; OR, odds ratio.

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Table 1

Characteristics of the References Included in Our Meta-Analysis

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First author Year Region Ethnicity Source of control Genotyping method Cases (n) Controls (n) HWE
(p value)
Quality score
IBD CD UC
Hong21 2007 New Zealand Caucasian PB PCR-RFLP 182 182 - 188 0.052 11
Hotte20 2012 Canada Caucasian HB SDS 29 15 14 21 0.512 8
Petermann19 2009 New Zealand Caucasian PB Taqman 793 387 406 412 0.641 13
Shen18 2010 China Asian HB PCR-RFLP 113 30 83 120 0.963 10
Török16 2004 Germany Caucasian PB PCR-RFLP 312 174 138 265 0.662 10
Török17 2009 Germany Caucasian PB PCR-RFLP 953 605 348 792 0.239 13
Valverde-Villegas15 2014 Brazil Caucasian PB PCR-RFLP 239 132 107 239 0.893 11
Ye14 2009 Korea Asian PB MALDI-TOF 366 366 - 351 0.978 12

PB, population-based; HB, hospital-based; PCR-RFLP, polymerase chain reaction-restriction fragment length polymorphism; SDS, single-direction-sequencing; MALDI-TOF, matrix-assisted laser desorption/ionization time of flight; IBD, inflammatory bowel disease; CD, Crohn's disease; UC, ulcerative colitis; HWE, Hardy-Weinberg equilibrium.

Table 2

Genotype and Allele Distributions of TLR9 -1237T/C Polymorphism in Cases and Controls

ymj-57-153-i002
References IBD CD UC Control IBD CD UC Control
TT TC CC TT TC CC TT TC CC TT TC CC T C T C T C T C
Hong, et al.21 130 50 2 130 50 2 - - - 131 56 1 310 54 310 54 - - 318 58
Hotte, et al.20 21 6 2 11 4 0 10 2 2 15 5 1 48 10 26 4 22 6 35 7
Petermann, et al.19 572 200 21 282 94 11 290 106 10 291 112 9 1344 242 658 116 686 126 694 130
Shen, et al.18 110 3 0 29 1 0 81 2 0 119 1 0 223 3 59 1 164 2 239 1
Török, et al.16 216 86 10 114 53 7 102 33 3 205 57 3 518 106 281 67 237 39 467 63
Török, et al.17 691 245 17 435 159 11 256 86 6 593 189 10 1627 279 1029 181 598 98 1375 209
Valverde-Villegas, et al.15 159 69 11 86 39 7 73 30 4 171 62 6 387 91 211 53 176 38 404 74
Ye, et al.14 366 0 0 366 0 0 - - - 350 1 0 732 0 732 0 - - 701 1

IBD, inflammatory bowel disease; CD, Crohn's disease; UC, ulcerative colitis.

Table 3

Total and Subgroup Analyses of TLR9 -1237T/C Polymorphism in IBDs

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Total or subgroup studies Comparisons Sample size N Test of association Model Test of heterogeneity Eggers' test
(p value)
Case Control OR 95% CI Z p value Q p value I2
Total TC+CC vs. TT 2987 2388 8 1.11 [0.97, 1.27] 1.54 0.12 F 7.08 0.42 1% 0.533
CC vs. TC+TT 2987 2388 8 1.59 [1.02, 2.47] 2.06 0.04 F 1.48 0.92 0% 0.688
TC vs. TT 2924 2358 8 1.08 [0.94, 1.24] 1.08 0.28 F 6.13 0.52 0% 0.612
CC vs. TT 2328 1905 8 1.62 [1.04, 2.52] 2.14 0.03 F 1.85 0.87 0% 0.693
C vs. T 5974 4776 8 1.13 [1.00, 1.27] 1.95 0.05 F 7.47 0.38 6% 0.466
Caucasian TC+CC vs. TT 2508 1917 6 1.11 [0.97, 1.27] 1.5 0.13 F 5.64 0.34 11% 0.719
CC vs. TC+TT 2508 1917 6 1.59 [1.02, 2.47] 2.06 0.04 F 1.48 0.92 0% 0.688
TC vs. TT 2445 1887 6 1.08 [0.94, 1.23] 1.04 0.3 F 4.67 0.46 0% 0.697
CC vs. TT 1852 1436 6 1.62 [1.04, 2.52] 2.14 0.03 F 1.85 0.87 0% 0.693
C vs. T 5016 3834 6 1.12 [1.00, 1.27] 1.93 0.05 F 6.05 0.3 17% 0.741
Asian TC+CC vs. TT 479 471 2 1.44 [0.28, 7.26] 0.44 0.66 F 1.34 0.25 25% NA
CC vs. TC+TT 479 471 2 - - - - - - - - -
TC vs. TT 479 471 2 1.44 [0.28, 7.26] 0.44 0.66 F 1.34 0.25 25% NA
CC vs. TT 476 469 2 - - - - - - - - -
C vs. T 958 942 2 1.43 [0.28, 7.22] 0.44 0.66 F 1.33 0.25 25% NA
CD TC+CC vs. TT 1891 2388 8 1.14 [0.98, 1.32] 1.68 0.09 F 9.7 0.21 28% 0.556
CC vs. TC+TT 1891 2388 8 1.69 [1.05, 2.73] 2.14 0.03 F 2.54 0.77 0% 0.364
TC vs. TT 1853 2358 8 1.1 [0.94, 1.29] 1.22 0.22 F 8.23 0.31 15% 0.7
CC vs. TT 1491 1905 8 1.74 [1.07, 2.82] 2.25 0.02 F 3.11 0.68 0% 0.403
C vs. T 3782 4776 8 1.15 [1.01, 1.32] 2.1 0.04 F 10.5 0.16 33% 0.902
UC TC+CC vs. TT 1096 1849 6 1.07 [0.89, 1.27] 0.71 0.48 F 1.52 0.91 0% 0.53
CC vs. TC+TT 1096 1849 6 1.41 [0.82, 2.45] 1.24 0.22 F 0.84 0.93 0% 0.019
TC vs. TT 1071 1820 6 1.04 [0.87, 1.25] 0.43 0.67 F 1.7 0.89 0% 0.835
CC vs. TT 837 1423 6 1.42 [0.82, 2.46] 1.24 0.22 F 0.8 0.94 0% 0.057
C vs. T 2192 3698 6 1.08 [0.92, 1.27] 0.98 0.32 F 1.77 0.88 0% 0.277

N, number of the comparisons; OR, odds ratio; CI, confidence interval; F, fixed-effective model; IBD, inflammatory bowel disease; CD, Crohn's disease; UC, ulcerative colitis; NA, not applicable.

ACKNOWLEDGEMENTS

This work was supported by research grants from the National Nature Science Foundation of China (No. 81270467).

Notes

The authors have no financial conflicts of interest.

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