METHODS: In order to systematically investigate the causal connection between tea intake on respiratory system disorders, we employed a two-sample Mendelian randomized (MR) study. Genetic instruments for tea intake were identified from a genome-wide association study (GWAS) involving 447,385 individuals. Data on lung diseases were collected from a variety of publicly available genome-wide association studies. The main method used for MR analysis is the inverse variance weighting (IVW) method. To ensure the accuracy of the findings, further sensitivity analysis was conducted.
RESULTS: The IVW method in our MR analysis revealed no evidence to support a causal relationship between tea intake and lung diseases (IPF: OR = 0.997, 95% CI = 0.994-1.000, p = 0.065; Lung cancer: OR = 1.003, 95% CI = 0.998-1.008, P = 0.261; COPD: OR = 1.001, 95% CI = 0.993-1.006, p = 0.552; acute bronchitis: OR = 0.919, 95% CI = 0.536-1.576, p = 0.759; tuberculosis: OR = 1.002, 95% CI = 0.998-1.008, p = 0.301; pneumonia: OR = 0.789, 95% CI = 0.583-1.068, p = 0.125). The reliability of the results was further demonstrated by four additional MR analysis techniques and additional sensitivity testing.
CONCLUSIONS: We found no evidence of a link between tea intake on lung diseases in our MR results based on genetic information.
方法:为了系统地研究茶叶摄入对呼吸系统疾病的因果关系,我们采用了孟德尔随机(MR)双样本研究.从涉及447,385名个体的全基因组关联研究(GWAS)中鉴定了用于茶摄入的遗传工具。肺部疾病的数据是从各种公开的全基因组关联研究中收集的。用于MR分析的主要方法是方差逆加权(IVW)方法。为了确保调查结果的准确性,进行了进一步的敏感性分析.
结果:我们的MR分析中的IVW方法显示,没有证据支持茶摄入量与肺部疾病之间的因果关系(IPF:OR=0.997,95%CI=0.994-1.000,p=0.065;肺癌:OR=1.003,95%CI=0.998-1.008,P=0.261;COPD:OR=1.001,95%CI=0.50.0.0.0.5通过四种额外的MR分析技术和额外的灵敏度测试进一步证明了结果的可靠性。
结论:在基于遗传信息的MR结果中,我们没有发现茶摄入量与肺部疾病之间存在联系的证据。