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. 2023 Jun 2;102(22):e33542.
doi: 10.1097/MD.0000000000033542.

Causal effects of tea intake on multiple types of fractures: A two-sample Mendelian randomization study

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Causal effects of tea intake on multiple types of fractures: A two-sample Mendelian randomization study

Bin Pu et al. Medicine (Baltimore). .

Abstract

Fracture is a global public health disease. Bone health and fracture risk have become the focus of public and scientific attention. Observational studies have reported that tea consumption is associated with fracture risk, but the results are inconsistent. The present study used 2-sample Mendelian randomization (MR) analysis. The inverse variance weighted method, employing genetic data from UK Biobank (447,485 cases) of tea intake and UK Biobank (Genome-wide association study Round 2) project (361,194 cases) of fractures, was performed to estimate the causal relationship between tea intake and multiple types of fractures. The inverse variance weighted indicated no causal effects of tea consumption on fractures of the skull and face, shoulder and upper arm, hand and wrist, femur, calf, and ankle (odds ratio = 1.000, 1.000, 1.002, 0.997, 0.998; P = .881, 0.857, 0.339, 0.054, 0.569, respectively). Consistent results were also found in MR-Egger, weighted median, and weighted mode. Our research provided evidence that tea consumption is unlikely to affect the incidence of fractures.

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Conflict of interest statement

The authors have no funding and conflicts of interest to disclose.

Figures

Figure 1.
Figure 1.
Forest plots of Mendelian randomization (MR) study using genetically predicted tea intake with multiple types of fractures. Inverse variance weighted (IVW), MR-Egger, weighted median, and weighted mode were used in this study.
Figure 2.
Figure 2.
The scatter plot for MR analyses of causal associations between each tea intake SNP and multiple types of fractures. MR = Mendelian randomization, SNP = single nucleotide polymorphism.

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