Abstract
A systematic review and meta-analysis is a useful method to summarize the different results from primary data, which can then provide an evidence-based outcome. Meta-analysis generates quantitative data by calculating effect sizes, which include odd ratios, relative risks, proportions, correlation coefficients, and so forth. The study of single-nucleotide polymorphisms (SNPs) and the association with the interested outcome is one discipline that has resulted in inconsistent relations. Therefore, the meta-analysis aimed to summarize the relevant data on SNPs associated with the outcome of interest. Herein, we describe a comprehensive meta-analysis on Toll-like receptor-9 polymorphism and the risk of cervical cancer.
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Chaiwiang, N., Poyomtip, T. (2023). Toll-Like Receptor Polymorphisms and the Risk of Cancer: Meta-analysis Study. In: Fallarino, F., Gargaro, M., Manni, G. (eds) Toll-Like Receptors. Methods in Molecular Biology, vol 2700. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3366-3_10
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DOI: https://doi.org/10.1007/978-1-0716-3366-3_10
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