The Assessment of TLR1 Gene Polymorphism Association with the Risk of Allergic Rhinitis in the Chinese Han Population from Northern China

Abstract

Background

Environmental factors and genetic predisposition can influence the occurrence and development of AR. Toll-like receptor 1 (TLR1) belongs to the TLR receptor family, which plays a fundamental role in the activation of innate immunity. This study aimed to explore the association between TLR1 genetic loci and AR susceptibility in the Han Chinese from northern China.

Methods

Genotyping of three SNPs in the TLR1 has proceeded using the Agena MassARRAY platform. Odds ratio (OR) and 95% confidence interval (CI) were used to assess the correlation between candidate SNPs and AR susceptibility. Using FPRP (false-positive report probability analysis) to detect whether the positive results are noteworthy findings. The SNP-SNP interactions were detected by multifactor dimensionality reduction (MDR).

Results

TLR1-rs72493538 (Allele “G”: OR=0.77, p = 0.034) and -rs76600635 (Allele “G”: OR=0.75, p = 0.024) were associated with reducing the risk of AR among Han Chinese in northern China. In addition, we found evidence that TLR1-rs72493538 (males, participants with aging > 43 years, or coming from the wind-blown sand region) and -rs76600635 (males, participants with BMI ≤ 24 kg/m², or coming from the wind-blown sand region) were associated with AR risk in stratified analyses. FPRP showed that all positive results are noteworthy findings. MDR analysis showed that a two-loci genetic model composed of rs72493538 and rs76600635 can be chosen as the best genetic model to predict the risk of AR.

Conclusion

TLR1-rs72493538 and -rs76600635 have a close association with reducing the risk of AR.

Keywords:

• allergic rhinitis
• TLR1
• susceptibility
• case-control study

Abbreviations

TLR1, Toll-like receptor 1; SNPs, single nucleotide polymorphisms; HWE, Hardy-Weinberg equilibrium; OR, odds ratio; 95% CI, 95% confidence interval; MDR, multifactor dimensionality reduction.

Data Sharing Statement

All data generated or analyzed during this study are included in this manuscript.

Ethics Statement

This research received approval from the Shenmu Hospital, and conformed to the Declaration of Helsinki.

Consent to Participate

Informed consent was obtained from each participant in recruitment after a full understanding of our research.

Acknowledgments

We sincerely thank all participants in this study.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

Additional information

Funding

This study was supported by Natural Science Foundation of Shaanxi Province (2021SF-075), Science and Technology Plan Project of Yulin City (YF-2020-191) and Shenmu Municipal Government Scientific Research Project (2019) No.5.