# Bone mineral density and cardiovascular diseases: a two-sample Mendelian randomization study

**Authors:** Ahmed M Salih, Dorina-Gabriela Condurache, Stefania D’Angelo, Elizabeth M Curtis, Steffen E Petersen, Andre Altmann, Nicholas C Harvey, Zahra Raisi-Estabragh

PMC · DOI: 10.1093/jbmrpl/ziaf037 · JBMR Plus · 2025-03-03

## TL;DR

This study finds no causal link between bone mineral density and cardiovascular diseases using genetic data from large population studies.

## Contribution

The study uses Mendelian randomization to show that observed associations between bone and heart health are likely due to shared risk factors, not direct causation.

## Key findings

- Genetically predicted bone mineral density does not causally affect major cardiovascular diseases.
- Results were consistent across multiple statistical methods and validated in two independent datasets.
- Observational links between bone and cardiovascular health are likely due to shared risk factors.

## 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.

Graphical Abstract

## Linked entities

- **Diseases:** cardiovascular disease (MONDO:0004995), ischemic heart disease (MONDO:0024644), heart failure (MONDO:0005252), myocardial infarction (MONDO:0005068)

## Full-text entities

- **Diseases:** BMD (MESH:D020388), heart failure (MESH:D006333), ischemic heart disease (MESH:D017202), myocardial infarction (MESH:D009203), hypertension (MESH:D006973), angina (MESH:D000787), CVD (MESH:D002318), atrial fibrillation and flutter (MESH:D001282), non-ischemic cardiomyopathy (MESH:D009202)

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11972088/full.md

## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC11972088/full.md

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Source: https://tomesphere.com/paper/PMC11972088