Bone mineral density and cardiovascular diseases: a two-sample Mendelian randomization study
Bone mineral density and cardiovascular diseases: a two-sample Mendelian randomization study
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: -0.01, 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.
genome-wide association study, BMD, cardiovascular diseases, Mendelian randomization, osteoporosis, causality
Salih, Ahmed M.
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Condurache, Dorina-Gabriela
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D'angelo, Stefania
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Curtis, Elizabeth
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Petersen, Steffen E.
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Altmann, Andre
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Harvey, Nicholas
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Raisi-Estabragh, Zahra
43c85c5e-4574-476b-80d6-8fb1cdb3df0a
May 2025
Salih, Ahmed M.
1af9c631-3718-46f3-8d0b-6cfbdc3429d0
Condurache, Dorina-Gabriela
2d514753-214d-41be-854f-3d062523e83d
D'angelo, Stefania
13375ecd-1117-4b6e-99c0-32239f52eed6
Curtis, Elizabeth
12aba0c3-1e9e-49ef-a7e9-3247e649cdd6
Petersen, Steffen E.
04f2ce88-790d-48dc-baac-cbe0946dd928
Altmann, Andre
0e39cb6c-76cc-447b-a630-2118e276af1f
Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145
Raisi-Estabragh, Zahra
43c85c5e-4574-476b-80d6-8fb1cdb3df0a
Salih, Ahmed M., Condurache, Dorina-Gabriela, D'angelo, Stefania, Curtis, Elizabeth, Petersen, Steffen E., Altmann, Andre, Harvey, Nicholas and Raisi-Estabragh, Zahra
(2025)
Bone mineral density and cardiovascular diseases: a two-sample Mendelian randomization study.
JBMR Plus, 9 (5), [ziaf037].
(doi:10.1093/jbmrpl/ziaf037).
Abstract
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: -0.01, 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.
Text
Manuscript_JBMR_Plus_clean_copy
- Accepted Manuscript
More information
Accepted/In Press date: 23 February 2025
e-pub ahead of print date: 3 March 2025
Published date: May 2025
Keywords:
genome-wide association study, BMD, cardiovascular diseases, Mendelian randomization, osteoporosis, causality
Identifiers
Local EPrints ID: 499749
URI: http://eprints.soton.ac.uk/id/eprint/499749
ISSN: 2473-4039
PURE UUID: eb44018e-8de7-42f0-8839-3fdab637a3cd
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Date deposited: 02 Apr 2025 16:51
Last modified: 30 Aug 2025 01:54
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Contributors
Author:
Ahmed M. Salih
Author:
Dorina-Gabriela Condurache
Author:
Stefania D'angelo
Author:
Steffen E. Petersen
Author:
Andre Altmann
Author:
Zahra Raisi-Estabragh
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