<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Deng Y</submitter><funding>Medical Research Council</funding><pagination>956969</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9623097</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>9</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>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.&lt;h4>Materials and methods&lt;/h4>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.&lt;h4>Results&lt;/h4>After potentially excluding pleiotro</pubmed_abstract><journal>Frontiers in nutrition</journal><pubmed_title>A Mendelian randomization study of the effect of tea intake on breast cancer.</pubmed_title><pmcid>PMC9623097</pmcid><funding_grant_id>MC_PC_17228</funding_grant_id><funding_grant_id>MC_QA137853</funding_grant_id><pubmed_authors>Ge W</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>Xu H</pubmed_authors><pubmed_authors>Deng Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Mendelian randomization study of the effect of tea intake on breast cancer.</name><description>&lt;h4>Background&lt;/h4>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.&lt;h4>Materials and methods&lt;/h4>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.&lt;h4>Results&lt;/h4>After potentially excluding pleiotro</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2026-05-03T10:54:09.687Z</modification><creation>2026-04-07T19:08:10.785Z</creation></dates><accession>S-EPMC9623097</accession><cross_references><pubmed>36330145</pubmed><doi>10.3389/fnut.2022.956969</doi></cross_references></HashMap>