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Updated: Aug 23, 2025

Changes in Mammary Gland Morphology and Breast Cancer Risk in Rats
Published on: October 16, 2010
A Mendelian randomization study of the effect of tea intake on breast cancer
Yuqing Deng1,2, Wenxin Ge1, Huili Xu3
1Department of Thyroid Breast Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background:
The relationship between tea consumption and the risk of breast cancer is inconsistent in previous observational studies and is still in dispute. We intended to detect the causal association between tea consumption and breast cancer risk using two-sample Mendelian randomization (MR) analysis.
Materials And Methods:
The summary statistics of tea consumption was obtained from the UK Biobank Consortium with 349,376 individuals and breast cancer information was obtained from the Breast Cancer Association Consortium (BCAC) (122,977 cases and 105,974 non-cases). Sensitivity analyses of evaluating the influence of outliers and pleiotropy effects were performed by a variety of MR methods under different model assumptions.
Results:
After potentially excluding pleiotropic single nucleotide polymorphisms (SNPs) using the MR Pleiotropy RESidual Sum and Outlier method, the odds ratio (OR) for per extra daily cup of tea intake for overall, estrogen receptor (ER)-positive, and ER-negative breast cancer risk was 1.029 [95% confidence interval (CI) = 0.983-1.077, P = 0.2086], 1.050 (95% CI = 0.994-1.109, P = 0.078), and 1.081 (95% CI = 0.990-1.103, P = 0.6513), respectively. The results were consistent with a sensitivity analysis that excluded SNPs associated with other phenotypes, manifesting that the findings were convincing and robust. Moreover, in the multivariable MR analysis, the null associations for breast cancer risk remained after adjusting for smoking and alcohol consumption separately or together.
Conclusion:
Our MR results based on genetic data did not support a causal relationship between tea consumption and breast cancer risk.
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