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Tizaoui, Kaabachi, Hamzaoui, and Hamzaoui: Association of Single Nucleotide Polymorphisms in Toll-like Receptor Genes With Asthma Risk: A Systematic Review and Meta-analysis
Original Article

Allergy, Asthma & Immunology Research 2015; 7(2): 130-140.

Published online: 5 November 2014

DOI: https://doi.org/10.4168/aair.2015.7.2.130

Association of Single Nucleotide Polymorphisms in Toll-like Receptor Genes With Asthma Risk: A Systematic Review and Meta-analysis

Kalthoum Tizaoui1, Wajih Kaabachi1, Kamel Hamzaoui1, Agnès Hamzaoui1, 2

1Division of Histology and Immunology, Department of Basic Sciences, Faculty of medicine Tunis, Tunis El Manar University, Tunis, Tunisia.

2Division of Pulmonology, Unit research: 1 2 SP15"Homeostasis and Cell Immune Dysfunction", A. Mami Hospital, Ariana, Tunisia.

Correspondence to: Kalthoum Tizaoui, PhD student, Division of Histology and Immunology, Department of Basic Sciences, Faculty of medicine Tunis, Tunis El Manar University, 15 Rue Djebel Lakdhar, 1007 Tunis, Tunisia. Tel: +216-24-616-454; Fax: +216-71-660-444; kalttizaoui@gmail.com

Received 9 January 2014       Revised 13 April 2014       Accepted 2 May 2014

Copyright © 2015 The Korean Academy of Asthma, Allergy and Clinical Immunology • The Korean Academy of Pediatric Allergy and Respiratory Disease

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

Asthma is a complex disease, with contributions from multiple genes, various genetic backgrounds, and environmental factors. Many human epidemiological studies have demonstrated that single nucleotide polymorphisms (SNPs) in Toll-like receptor (TLR) genes are inconsistently associated with asthma risk. Some have demonstrated differences concerning the study design and effect size, and conflicting results have been reported. A meta-analysis is necessary to determine the magnitude of this association.

Methods

Following the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines, a systematic search and meta-analysis of the literature was conducted to estimate the association of SNPs in TLR genes with asthma risk. We screened the medical literature based on the following keyword searches in MEDLINE and EMBASE databases: 'TLR', 'polymorphism', 'asthma', and their combinations.

Results

Meta-analysis of eight studies on TLR4 Asp299Gly showed a marginal association of TLR4 with asthma risk (odds ratio [OR]=0.814 [95% confidence interval [CI], 0.652-1.016; P=0.069]) in the recessive model. TLR4 Thr399Ile was not associated with asthma risk under any genetic model. Meta-analysis of four studies on TLR2 Arg753Gln indicated that TLR2 might be significantly associated with asthma in the dominant and codominant models (P=0.029, P=0.030, and P=0.009, respectively). TLR9 -1237 was marginally associated with asthma risk (OR=0.408 [95% CI, 0.163-1.021; P=0.065]) in the codominant model. Analysis using the allele contrast model showed that the major TLR9 -1237 T allele tended to be a significant protective factor with OR=0.689 (95% CI, 0.471-1.007; P=0.055).

Conclusions

The results showed that TLR4 Asp299Gly, TLR2 Arg753Gln, and TLR9-1237 might contribute significantly to asthma susceptibility. Future genetic association studies would consolidate these findings.

Keywords: Asthma, TLR genes, SNPs, association, meta-analysis

INTRODUCTION

Asthma is a chronic and complex disorder of the respiratory system characterized by airway obstruction and inflammation,1 and its prevalence is increasing in both developed and developing countries.2,3 This increased prevalence may reflect increased exposure to environmental risk factors. Although environmental factors are important determinants of asthma, numerous studies have revealed that asthma has a strong genetic component. Susceptibility genes have been identified by candidate gene association studies, genome-wide linkage studies, and genome-wide association studies.4 Many genes have been shown to make small contributions to the overall phenotype.
Toll-like receptors are an essential family of innate immune pattern recognition receptors that play a pivotal role in host defense against microbes.5 TLRs can modulate the immune system through cellular activation, modulation of cytokine secretion6 and production of soluble factors to local dendritic networks.7 Human epidemiological studies have supported the common clinical perception that TLRs are associated with asthma. These studies have varied in design, population composition, asthma definition and size. Macrophages, one of the main immune cell types involved in asthma, express various TLRs, including TLR2, 4, 5, 6, 7, 8, and 9.8 Each TLR recognizes different classes of molecules expressed by pathogens and recognizes structurally conserved motifs.9
TLR1 and 6 recognize multiple diacyl peptides, and TLR1/2 dimers can recognize lipopeptides.10 TLR2, which has been found to be expressed by various cell types,11 is related to protection against allergies and allergic asthma by sensing pathogen-associated patterns in lipoproteins and lipopeptides. The TLR2/6 dimer is involved in the recognition of diacylated lipopeptides.12 Long-term stimulation of TLR3 upregulates the production of inflammatory cytokines and cellular recruitment to the airways.13 TLR4 encodes a macrophage cell-surface receptor, which is principally activated by bacterial endotoxin, also known as lipopolysaccharide (LPS). Few studies of the role of TLR5 in asthma have been reported. However, a significant decrease in the expression of TLR5 was observed in asthma patients,14 and TLR5 recognizes bacterial flagellin when complexed with TLR4.15 Similar to TLR5, few data exist on the role of TLR6 in allergic asthma.12 TLR6 is expressed on mast cells, which play important roles in allergy.16 TLR7 and TLR8, which are localized on the sex chromosome Xp22,17 recognize single-stranded RNA, and induce interferons (IFNs) to protect the host from viral infection.18 TLR9 detects bacterial or viral DNA with unmethylated cytosine and guanine.8 TLR10 is the most recently identified gene in the TLR family whose product recognizes pathogen-associated molecular patterns (PAMPs).19 TLRs are also involved in various signaling pathways of the immune system that protect from asthma or develop asthma phenotypes.20,21,22,23,24,25
Most studies published since 2004 have comprised genetic association investigations in various clinical settings, and have found positive associations of SNPs in TLR2,26,27,28 TLR4,29 TLR6,30 TLR7/8,31 TLR9,32 and TLR1019 with asthma. Recent insights into the complex mechanisms of human innate immunity have suggested that genetic variability in genes may play a role in the development of asthma and related diseases.34,35,36,37,38
Due to the important contribution of TLR genes to asthma, an updated meta-analysis was conducted to estimate the effect of SNPs in TLR genes on asthma susceptibility.

MATERIALS AND METHODS

Identification of eligible studies

The review process followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.39 We performed a literature search using the MEDLINE and EMBASE databases to identify articles that examined associations between TLR polymorphisms and asthma. Combinations of keywords, such as 'TLR', 'polymorphism', and 'asthma' were entered as medical subject heading (MeSH) and text words. References in the identified studies were used to identify additional studies not indexed by MEDLINE or EMBASE databases. No language or date restrictions were applied.

Inclusion and exclusion criteria

Studies identified from the searches were screened and excluded from further analysis if one of the following reasons was satisfied: a review article, lack of information, animal research, not case-control or nested case-control study design, or unreported genotype frequencies.
For inclusion, the studies must have met the following criteria: (1) they evaluated TLR gene polymorphisms and asthma; (2) were case-control studies; (3) supplied the number of individual genotypes in asthmatic cases and in controls, respectively; or (4) they had an asthma outcome definition that followed accepted diagnostic guidelines.

Data extraction

Information was extracted carefully from all of the eligible publications independently by 2 authors, based on the inclusion criteria above. The following information was extracted from each study: author, year of study publication, ethnicity of the study population, demographics (age), asthma status, and number of cases and controls for each TLR polymorphism.

Statistical analysis

Data from the studies were combined to provide a summary odds ratio (OR). Summary ORs were represented as a point estimate with 95% confidence intervals (CIs) on a forest plot.40 The heterogeneity of the data was evaluated using the Q statistic.41 The stability of the summary risk estimate was evaluated using a sensitivity analysis in which each study was removed individually, and the OR was recalculated. Egger's regression test was used to identify publication bias.42

RESULTS

Study inclusion and characteristics

The initial search using the headings 'TLR', 'polymorphism' 'asthma', and their combinations resulted in approximately 6,395 journal articles. Based on the titles, 110 were potentially relevant. Nineteen studies investigating general atopic and allergic phenotypes were excluded. An additional 25 studies on TLR polymorphism involvement in signaling pathways were excluded. Review articles (n=28) were also excluded. Seventeen studies were excluded because they did not meet the inclusion criteria: eight did not report genotypic frequencies in cases and/or in controls24,25,38,43,44,45,46,47; two were cross-sectional studies48,49; four were family-based studies,50,51,52,53 and 3 were abstracts.54,55,56 Twenty case-control studies were eligible for meta-analysis,19,26,27,28,29,30,31,32,33,57,58,59,60,61,62,63,64,65,66,67 one study was in Portuguese,62 and another was in Chinese.64 Among the eligible studies, 11 were excluded because the number of studies of the same polymorphism was less than 3.
The controls for the studies by Lachheb et al.32 and Zhang et al.29 deviated from Hardy-Weinberg equilibrium (HWE) in the controls (P<0.01). The study by Caravalho et al.61 was small, and the definition of asthma was restricted to severe asthma with fungal sensitization. In the study by Palikhe et al.,65 the definition of asthma was limited to aspirin-tolerant asthma. In the study by Yang et al.,58 three sets of patients (first-affected sibling, second-affected sibling and asthmatic parents) were compared with hyper-normal controls. A meta-analysis was conducted when at least 3 studies on the same polymorphism were available. Fig. 1 provides a summary of the search results. Table 1 summarizes the characteristics of the case-control studies.

Data analysis

Association of TLR4 Asp299Gly with asthma risk

Analyses in the random effects model showed that the TLR4 Asp299Gly polymorphism was marginally associated with asthma under the recessive (0.069) (Fig. 2) and allele contrast (0.055) models. In the allele contrast model, sensitivity analysis by exclusion of any one particular study60 in the influence analysis significantly changed the results. The recalculated OR was 0.803 (95% CI, 0.647-0.997; P=0.047), indicating that the major A allele might protect against asthma (Table 2).
The estimated OR1 (AA vs GG), OR2 (AG vs GG) and OR3 (AA vs AG) were 0.897, 0.831, and 0.972, respectively. These estimates were likely to suggest a codominant genetic model. The pooled OR1 was 0.897 (95% CI, 0.597-1.346; P=0.599). Heterogeneity was absent (0.00%). No evidence of publication bias was detected by Egger's test (P=0.12). Sensitivity analysis by the removal of one study did not significantly change the results (Table 2).

Association of TLR4 Thr399Ile C>T with asthma risk

Analyses in the random-effects model showed that the TLR4 Thr399Ile polymorphism was not associated with asthma under any of the genetic models.
The estimated OR1 (CC vs TT), OR2 (CT vs TT) and OR3 (CC vs TC) were 1.223, 1.306, and 0.398, respectively. These estimates did not fit any genetic model. Analysis in the allele contrast model showed no significant association of the TLR4 Thr399Ile C allele with asthma risk (OR=1.223 [95% CI, 0.655-2.286; P=0.528]) (Fig. 3). Heterogeneity was absent in all of the models (0.00%). Sensitivity analysis by the removal of one study did not significantly change the results. Publication bias was detected by Egger's test in the dominant and CC vs TC codominant models (P=0.05 and P=0.03, respectively) (Table 2).

Association of TLR2 Arg753Gln G/A with asthma risk

Analyses showed that the TLR2 Arg753Gln polymorphism was not associated with asthma under the recessive, homozygous (Fig. 4) and allele contrast models. In the homozygous model, sensitivity analysis by the removal of one study61 significantly changed the results. The recalculated OR was 4.460 (95% CI, 1.213-16.396), indicating that the homozygous genotypes might be a significant risk factor (P=0.024). In the GG vs GA model, when one study was removed,61 the recalculated OR was 4.365 (95% CI, 1.227-15.536), suggesting that the homozygous genotype might be a significant risk factor (P=0.023). Sensitivity analysis by the removal of one study60 in the allele contrast model significantly changed the results. The recalculated OR was 0.402 (95% CI, 0.199-0.811), indicating that the major G allele might protect significantly against asthma (P=0.011).
The estimated OR1 (GG vs AA), OR2 (GA vs AA) and OR3 (GG vs GA) were 0.102, 0.01, and 2.451, respectively. These estimates did not fit any genetic model. Only three studies were available; therefore, estimates were not sufficiently powerful. However, these estimates provided a first indication that genotypes with at least one copy of the major G allele might be protective. No evidence of publication bias was detected by Egger's test in all of the genetic models (Table 2).

Association of TLR9 -1237 T/C with asthma risk

Analyses showed that the TLR9 -1237 T/C polymorphism was not associated with asthma under the recessive, homozygous and codominant models. In the allele contrast model, the major T allele was marginally associated with asthma with OR=0.689 (95% CI, 0.471-1.007; P=0.055), suggesting that the major T allele might be a significant protective factor (Table 2 and Fig. 5).
The estimated OR1 (TT vs CC), OR2 (TC vs CC) and OR3 (TT vs TC) were 0.408, 0.01, and 0.498, respectively. These estimates likely suggested a codominant genetic model. Only three studies on TLR9 -1237 T/C were available; therefore, estimates were not sufficiently powerful. However, these estimates indicated that the TT genotype tended to be a significant protective factor (P=0.065). No evidence of publication bias was detected by Egger's test in all of the genetic models (Table 2).

DISCUSSION

During the last decade, the function of TLRs in asthma pathogenesis has been investigated largely by comparing the incidence of disease among persons with different polymorphisms. The magnitude of the association of polymorphisms with asthma varies depending on genetics, demographics, environmental factors, and study methodologies. Many association studies have reported that TLR polymorphisms predispose to asthma.26,47,49,52,56,59,61,68 However, some polymorphisms might not be associated with asthma susceptibility, but rather with asthma severity, such as TLR4 polymorphisms.48,51,58 Conflicting results were also reported, demonstrating a protective effect of some polymorphisms.12,45,46 However, other studies reported no association between TLR polymorphisms and asthma risk.44,50,53,60,61,64,69,70 Given the conflicting results yielded by genetic association studies, a systematic review and meta-analysis is of great value. The current meta-analysis provides a comprehensive examination of the available evidence concerning the association of SNPs in TLR genes with asthma and refines their risk profiles. This analysis represents the first meta-analysis concerning the impact of some TLR polymorphisms on asthma and assesses their role as modifiers of asthma risk.
Estimates of combined effect sizes revealed that the major TLR9 -1237 T allele was significantly associated with a decreased asthma risk. Additionally, for TLR2 Arg753Gln G>A, sensitivity analysis in the allele contrast model revealed that the major G allele was significantly associated with a decreased asthma risk. For TLR4 Asp299Gly A>G, the AA homozygote genotype and A allele tended to be associated with a decreased asthma risk. These results implicate that the major allele in TLR polymorphisms might be generally associated with a protective effect. However, TLR4 Thr399Ile showed no significant association with asthma risk. In a previous meta-analysis, Chen71 reported no direct association between TLR4 Asp299Gly and asthma. This result is consistent with our findings in the dominant, homozygous and codominant models. In a recent systematic review, Klassen et al.72 reported that TLR 2, TLR6, TLR9, and TLR10 appear to have some association with childhood asthma in Caucasians. However, no convincing evidence for a role of TLRs in relation to childhood asthma exists. Polymorphisms in TLR3 seemed not to be associated with asthma.57,65 Results for TLR6 are conflicting. One study with a small sample size showed that TLR6 Ser249Pro C>T contributed to asthma susceptibility,30 but a larger study on the same polymorphism reported no association in both children and adults.59 However, other studies reported that polymorphisms in TLR6 were significantly associated with asthma phenotypes.44,45,56,73 Similarly, some polymorphisms in TLR7/8 have been shown to be associated with asthma disease,29,33 whereas other polymorphisms showed no association.29 For TLR10, some polymorphisms showed significant association with asthma23,33,45; however, other polymorphisms showed no significant association.27,45 Genetic association studies on TLR1 and TLR5 remain scarce or are lacking. Further investigations on TLR polymorphisms, including haplotype analysis along with gene-environment interaction, are needed.
SNPs, which occur at every 1.9 kb in the genome on average,73 could result in reduced or increased gene expression when they occur in promoter.74 This meta-analysis did not control for multiple known risk factors for asthma, such as age, gender, and ethnicity. These potential confounding factors may interact with TLR polymorphisms to moderate asthma susceptibility. Genetic associations were shown to be significantly influenced by age75,76,77,78 likely because some genes are expressed in adults and not expressed in children and vice versa. Observational studies showed that the prevalence of asthma has increased during the last decade due to environmental factors.3 Therefore, it is important to investigate other polymorphisms in TLRs, as well as gene-gene and gene-environment interactions. A possible gene-environment interaction has been reported,79 in which the SNPs act as modifiers of asthma risk in individuals with various degrees of environmental endotoxin exposure. Future studies should include haplotype analysis and stratification of the study population according to related environmental risk factors.
Asthma is a complex disease involving several genes that might be more relevant than TLR genes. Although statistically significant, the effect of the TLRs on asthma was modest. This result may reflect the important role of other confirmed candidate genes in asthma disease. It has been reported that many genes are involved and make small contributions to the overall asthma phenotype.
The findings of our meta-analyses are consistent with experimental studies demonstrating that TLR polymorphisms are important factors in asthma disease, and support the need for further research into the mechanisms underlying asthma susceptibility. The significant association between TLR polymorphisms and asthma risk may be of clinical and public health importance. Further meta-analyses and studies on the expression of related genes, environmental factors, and gene-gene and gene-environment interactions would provide useful information for the prevention and treatment of asthma.
The recent discovery of TLRs, with their role as initiators of the innate immune response and inflammation, suggests that modulating these receptors may be beneficial in the treatment of allergic disorders.7 TLRs are currently being exploited as possible targets for drug development.80 Recently, several patents aimed to modulate the innate immune reaction occurring in asthma through the use of novel synthetic TLR2 ligands8,11; these open new therapeutic perspectives for the prevention of these pathologies. Greater knowledge of risk factors will translate into improved diagnosis, prevention and therapeutic strategies for this chronic disease.

Figures and Tables

Fig. 1

Flow diagram of the systematic review and meta-analysis literature search results.

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Fig. 2

Forest plot of the association between TLR4 Asp299Gly and asthma risk: AA vs AG+GG. The forest plot shows the odds ratios (ORs) and respective 95% confidence intervals (CIs) for the studies included in the meta-analysis. For each study in the forest plot, the area of the black square is proportional to the study weight, and the horizontal bar represents the 95% CI. Z score: the standardized expression of a value in terms of its relative position in the full distribution of values.

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Fig. 3

Forest plot of the association between TLR4 Thr399Ile and asthma risk: C allele vs T allele. The forest plot shows the ORs and respective 95% CIs for the studies included in the meta-analysis. For each study in the forest plot, the area of the black square is proportional to the study weight, and the horizontal bar represents the 95% CI. Z score: the standardized expression of a value in terms of its relative position in the full distribution of values.

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Fig. 4

Forest plot of the association between TLR2 Arg753Gln and asthma: GG+AA vs GA. The forest plot shows the ORs and respective 95% CIs for the studies included in the meta-analysis. For each study in the forest plot, the area of the black square is proportional to the study weight, and the horizontal bar represents the 95% CI. Z score: the standardized expression of a value in terms of its relative position in the full distribution of values.

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Fig. 5

Forest plot of the association between TLR9 -1237 and asthma: T allele vs C allele. The forest plot shows the (ORs and respective 95% CIs for the studies included in the meta-analysis. For each study in the forest plot, the area of the black square is proportional to the study weight, and the horizontal bar represents the 95% CI. Z score: the standardized expression of a value in terms of its relative position in the full distribution of values.

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Table 1

Characteristics of the reviewed studies on SNPs in TLR genes and asthma risk

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Reference Ethnicity Age: Case/control Gender Gene Polymorphism Case Control Results
Lazarus 2003 European-American Matched Matched TLR9 rs5743836 T/C 64 114 SA
Noguchi 2004 Japanese (Chinese) Children/46.9 Matched TLR2 c. -191 G>A 133 186 NS
c. 597 T>C 133 188 NS
c. 1350 T>C 134 190 NS
TLR3 -7A 135 189 NS
IVS3 +71 C>A 134 188 NS
c. 1377 C>T 133 189 NS
TLR9 c. 1635 G>A 132 189 NS
Tantisira 2004 African-American Matched Matched TLR6 Ser249Pro C>T 56 97 SA
Lazarus 2004 European-American Matched Matched TLR10 c.+1031 G>T 506 514 SA
c.+2322 A>G 505 513 SA
Yang 2004 English (Caucasian) Matched Matched TLR4 rs4986790 A>G 320 184 NS
Matched Matched TLR4 rs4986790 A>G 309 184 NS
Matched Matched TLR4 rs4986790 A>G 185 184 NS
Hoffjan 2005 German (Caucasian) 38/59 Matched TLR6 Ser249Pro C>T 68 212 NS
9.5/59 Ser249Pro C>T 132 212 NS
Smit 2007 Danish (Caucasian) 19.2/matched Matched TLR2 rs4696480 A>T 100 87 NS
rs5743704 C>A 100 87 NS
rs5743708 C>T 100 87 NS
TLR4 rs4986790 A>G 100 87 NS
rs4986791 C>T 100 87 NS
Caravalho 2008 European (Caucasians) 57.6±11.8/not mentioned Matched TLR2 rs5743708 G>A 14 80 NS
TLR4 rs4986790 A>G 14 80 NS
TLR9 rs5743836 T>C 14 80 NS
Lachheb 2008 African Caucasian 10.5/8 Matched TLR2 rs5743708 C>T 210 224 NS
TLR4 rs4986790 A>G 210 224 NS
rs4986791 C>T 210 224 NS
TLR9 rs5743836 T>C 210 224 SA
rs187084 T>C 210 224 NS
Larocca 2008 Venezuelan (American) 44.6±15.22/42.63±13.89 Matched T LR4 rs4986790 A>G 100 100 NS
rs4986791 C>T 100 100 NS
Bjørnvold 2009 Norwegian (Caucasian) Children Matched TLR2 Rs3804100 T>C 108 494 SA
TLR2 Rs3804099T>C 108 494 NS
Hseih 2009 Taiwanese (Asian) 7.2±2.4/Children Matched TLR4 rs10983755 A>G 117 60 NS
rs1927914 C>T 117 60 NS
Zhang 2009 Chinese (Asian) 39.80±14.23/34.27±13.31 Male TLR7/8 rs5935436 C>T 135 200 SA
rs3761623 A>G 135 200 NS
rs3764880 G>A 135 200 NS
39.80±14.23/34.27±13.31 Female TLR7/8 rs5935436 C>T 183 152 NS
rs3761623 A>G 183 151 SA
rs3764880 G>A 182 152 SA
Qian 2010 Chinese (Asian) 39.80/38.26 Matched TLR1 rs4833095 C>T 318 351 NS
TLR2 rs7656411 G>T 317 351 SA
TLR6 rs5743831 A>G 318 352 NS
rs5743808 T>C 318 351 NS
rs2381289 C>T 318 352 NS
TLR10 rs11466651 G>A 318 352 NS
rs11466655 A>G 318 351 NS
rs4504265 C>A 317 349 NS
Zhang 2011 Chinese (Asian) 39.80/38.26 Matched TLR4 rs1927914 T>C 318 350 SA*
rs10983755 G>A 318 351
rs11536879 A>G 304 348
rs1927907 G>A 314 334
Palikhe 2011 Korean (Asian) 43.1±15.2/32.1±12.7 Matched TLR3 rs3775296 G>T 254 274 NS
rs3775291 G>A 254 274 NS
Vorvonko 2011 Russian (Caucasian) Adults/38.5±10.4 Matched TLR4 rs4986790 A>G 283 227 NS
Qian 2011 Chinese (Asian) 1.9-11.6/matched Matched TLR9 rs187084 C/T 312 339 NS
Hussein 2012 African Caucasian 8.4±2.6/10.1±2.3 Matched TLR2 rs5743708 G>A 500 250 SA*
TLR4 rs4986790 A>G 500 251
Şahin 2014 Turkish (Caucasian) 36±12.42/43±7.68 Matched TLR4 rs4986790 A>G 131 75 NS
rs4986791 C>T 131 75 SA

NS, non significant association; SA, significant association; SA*, significant association with asthma severity.

Table 2

Association of TLR4 Asp299Gly A/G, TLR4 Thr399Ile C>T, TLR2 Arg753Gln G/A and TLR9 -1237 T/C with asthma risk

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TLRs Genetic model OR P-value I2 Egger P
TLR4 Asp299Gly A>G (n=8) Recessive AA vs AG+GG 0.814 (0.652-1.016) 0.069 0.000 0.25
Homozygous GG+AA vs AG 0.835 (0.666-1.047) 0.118 0.000 0.40
Dominant AA+AG vs GG 0.857 (0.297-2.477) 0.776 0.000 0.42
Codominant* AA vs GG 0.897 (0.597-1.346) 0.599 0.000 0.12
Codominant* AG vs GG 0.831 (0,663-1.042) 0.110 0.000 0.40
Codominant* AA vs AG 0.972 (0.320-2.953) 0.960 0.000 0.28
Allele contrast A allele vs G allele 0.814 (0.659-1.005) 0.055 0.000 0.05
TLR4 Thr399Ile C>T (n=4) Recessive CC vs TC+TT 0.784 (0.571-1.075) 0.130 0.00 0.15
Homozygous CC+TT vs TC 1.315 (0.688-2.513) 0.408 0.00 0.45
Dominant CC+TC vs TT 0.708 (0.111-4522) 0.715 0.00 0.05
Codominant CC vs TT 1.223 (0.655-2.286) 0.527 0.00 0.34
Codominant CT vs TT 1.306 (0.683-2.497) 0.419 0.00 0.45
Codominant CC vs TC 0.398 (0.053-3.006) 0.372 0.00 0.03
Allele contrast C allele vs T allele 1.132 (0.623-2.056) 0.684 0.00 0.34
TLR2 Arg753Gln G>A (n=4) Recessive GG vs GA+AA 0.968 (0.441-2.123) 0.935 18.71 0.37
Homozygous GG+AA vs GA 2.476 (0.483-12.698) 0.277 57.34 0.30
Dominant GG+GA vs AA 0.100 (0.013-0.789) 0.029 0.00 -
Codominant GG vs AA 0.102 (0.013-0.803) 0.030 0.00 -
Codominant GA vs AA 0.01 (0.001-0.312) 0.009 24.25 -
Codominant GG vs GA 2.451 (0.483-12.441) 0.279 56.82 0.30
Allele contrast G allele vs A allele 0.635 (0.228-1.771) 0.385 52.24 0.47
TLR9-1237 T>C (n=3) Recessive TT vs TC+CC 0.950 (0.570-1.583) 0.223 33.33 0.41
Homozygous TT+CC vs TC 1.267 (0.867-1.852) 0.222 0.00 0.39
Dominant TT+TC vs CC 0.684 (0.090-5.192) 0.714 85.96 -
Codominant* TT vs CC 0.408 (0.163-1.021) 0.065 30.95 -
Codominant* TC vs CC 0.498 (0.206-1.202) 0.121 16.83 -
Codominant* TT vs TC 0.876 (0.584-1.315) 0.525 0.00 0.12
Allele contrast T allele vs C allele 0.689 (0.471-1.007) 0.055 18.73 0.27

TLR4 Asp299Gly (rs 4986790); TLR4 Thr399Ile (rs4986791); TLR2 Arg753Gln (rs5743708); TLR9 -1237 (rs187084); Bold: significant P value (<0.05). TLR4 Asp299Gly polymorphism: one study removed,60 OR=0.803 (0.647-0.997); P=0.047 in the allele contrast model. TLR2 Arg753Gln polymorphism: one study removed,61 OR=4.460 (1.213-16.396); P=0.024 in the homozygous model; one study removed,61 OR=4.365 (1.2265-15.536); P=0.023 in the GG vs GA codominant model; one study removed,60 OR=0.402 (0.199-0.811); P=0.011 in the allele contrast model.

n, number of studies; OR, odds ratio; I2, heterogeneity test.

*best-fitted genetic model.

ACKNOWLEDGMENTS

This work was supported by a grant from the Ministry of Higher Education, Tunisia.

Notes

There are no financial or other issues that might lead to conflict of interest.

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