{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T16:43:57Z","timestamp":1776962637580,"version":"3.51.4"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T00:00:00Z","timestamp":1740960000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Barts Charity Clinical Research Training Fellowship","award":["G-002777"],"award-info":[{"award-number":["G-002777"]}]},{"name":"Leicester City Football Club Programme"},{"DOI":"10.13039\/501100000265","name":"UK Medical Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIHR Integrated Academic Training programme","award":["CL-2021-19-00"],"award-info":[{"award-number":["CL-2021-19-00"]}]},{"name":"British Heart Foundation Clinical Research Training Fellowship","award":["FS\/17\/81\/33318"],"award-info":[{"award-number":["FS\/17\/81\/33318"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,3,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The link between BMD and cardiovascular disease (CVD) remains a topic of extensive debate in observational studies, with inconsistent reports regarding the causality of this relationship. This study implements robust methodologies to evaluate the causal relationship between BMD and various CVDs. Two sample Mendelian randomization (MR) method was used to estimate the relationship between genetically predicted BMD and seven key CVDs: atrial fibrillation and flutter, angina, ischemic heart disease, heart failure, hypertension, myocardial infarction, and non-ischemic cardiomyopathy. Data were obtained from independent publicly available genome-wide association studies (GWAS) for BMD and CVDs, using two separate datasets for the cardiovascular outcomes: the UK Biobank cohort (primary analysis) and the FinnGen cohort (validation analysis). The MR Pleiotropy RESidual Sum and Outlier test assessed the heterogeneity and pleiotropy of selected instrumental variables (IVs). We applied the inverse variance weighted model (IVW), weighted median, weighted mode method, and MR-Egger regression model to estimate causal effects. MR results indicate no relationship between BMD and atrial fibrillation and flutter (IVW, beta-estimate: 0.011, SE: 0.03, p = .73), angina (IVW, beta-estimate: 0.04, SE: 0.03, p = .17), chronic ischemic heart disease (IVW, beta-estimate: 0.009, SE: 0.03, p = .74), heart failure (IVW, beta-estimate: 0.004, SE: 0.04, p = .91), hypertension (IVW, beta-estimate: \u22120.01, SE: 0.01, p = .44), myocardial infarction (IVW, beta-estimate: 0.02, SE: 0.03, p = .36), or non-ischemic cardiomyopathy (IVW, beta-estimate: 0.1, SE: 0.08, p = .20). These findings remained consistent across all complementary analyses (MR-Egger, weighted median and weighted mode) and were validated using the FinnGen cohort GWAS dataset. This comprehensive analysis identified no evidence for a causal link between genetically predicted BMD and a range of key CVDs. Previously reported observational associations between bone and cardiovascular health likely represent shared risk factors rather than direct causal mechanisms.<\/jats:p>","DOI":"10.1093\/jbmrpl\/ziaf037","type":"journal-article","created":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T00:23:03Z","timestamp":1741134183000},"source":"Crossref","is-referenced-by-count":1,"title":["Bone mineral density and cardiovascular diseases: a two-sample Mendelian randomization study"],"prefix":"10.1093","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0871-8282","authenticated-orcid":false,"given":"Ahmed M","family":"Salih","sequence":"first","affiliation":[{"name":"William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London , London EC1M 6BQ ,","place":["United Kingdom"]},{"name":"Department of Population Health Sciences, University of Leicester , Leicester LE1 7RH ,","place":["United Kingdom"]},{"name":"PRIME Lab, Scientific 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