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TLR1, 2, 4, 6 and 9 Variants Associated with Tuberculosis Susceptibility: A Systematic Review and Meta-Analysis

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  • Haiko Schurz
  • Michelle Daya
  • Marlo Möller
  • Eileen G Hoal
  • Muneeb Salie

Abstract

Background: Studies investigating the influence of toll-like receptor (TLR) polymorphisms and tuberculosis susceptibility have yielded varying and often contradictory results in different ethnic groups. A meta-analysis was conducted to investigate the relationship between TLR variants and susceptibility to tuberculosis, both across and within specific ethnic groups. Methods: An extensive database search was performed for studies investigating the relationship between TLR and tuberculosis (TB) susceptibility. Data was subsequently extracted from included studies and statistically analysed. Results: 32 articles involving 18907 individuals were included in this meta-analysis, and data was extracted for 14 TLR polymorphisms. Various genetic models were employed. An increased risk of TB was found for individuals with the TLR2 rs3804100 CC and the TLR9 rs352139 GA and GG genotypes, while decreased risk was identified for those with the AG genotype of TLR1 rs4833095. The T allele of TLR6 rs5743810 conferred protection across all ethnic groups. TLR2 rs5743708 subgroup analysis identified the A allele to increase susceptibility to TB in the Asian ethnic group, while conferring protection in the Hispanic group. The T allele of TLR4 rs4986791 was also found to increase the risk of TB in the Asian subgroup. All other TLR gene variants investigated were not found to be associated with TB in this meta-analysis. Discussion: Although general associations were identified, most TLR variants showed no significant association with TB, indicating that additional studies investigating a wider range of pattern recognition receptors is required to gain a better understanding of this complex disease.

Suggested Citation

  • Haiko Schurz & Michelle Daya & Marlo Möller & Eileen G Hoal & Muneeb Salie, 2015. "TLR1, 2, 4, 6 and 9 Variants Associated with Tuberculosis Susceptibility: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-24, October.
    • Handle: RePEc:plo:pone00:0139711
    DOI: 10.1371/journal.pone.0139711
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    References listed on IDEAS

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    1. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    2. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    3. Jia-Jia Wang & Xian Xia & Shai-Di Tang & Jie Wang & Xiao-Zhao Deng & Yun Zhang & Ming Yue, 2013. "Meta-Analysis on the Associations of TLR2 Gene Polymorphisms with Pulmonary Tuberculosis Susceptibility among Asian Populations," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-6, October.
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    1. Bhaswati Pandit, 2017. "Genes and Genetics of Tuberculosis," International Journal of Pulmonary & Respiratory Sciences, Juniper Publishers Inc., vol. 1(4), pages 99-104, May.
    2. Bhaswati Pandit, 2017. "Genes and Genetics of Tuberculosis," International Journal of Pulmonary & Respiratory Sciences, Juniper Publishers Inc., vol. 1(4), pages 1-7, May.

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