| Title: | Mendelian randomization study of whole blood viscosity and cardiovascular diseases |
| Journal: | PLOS ONE |
| Published: | 26 Apr 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38669241/ |
| DOI: | https://doi.org/10.1371/journal.pone.0294095 |
| URL: | http://dx.doi.org/10.1371/journal.pone.0294095 |
Publication 9803
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Abstract
AIMS: Association between whole blood viscosity (WBV) and an increased risk of cardiovascular disease (CVD) has been reported. However, the causal relationship between WBV and CVD remains not thoroughly investigated. The aim of this study was to investigate the causal relation between WBV and CVD.</p>
METHODS: Two-sample Mendelian randomization (MR) was employed, with inverse variance weighting (IVW) as the primary method, to investigate the casual relationship between WBV and CVD. The calculated WBV and medical records of 378,210 individuals participating in the UK Biobank study were divided into halves and analyzed.</p>
RESULTS: The means of calculated WBVs were 16.9 (standard deviation: 0.8) and 55.1 (standard deviation: 17.2) for high shear rate (HSR) and low shear rate (LSR), respectively. 37,859 (10.0%) major cardiovascular events (MACE) consisted of 23,894 (6.3%) cases of myocardial infarction (MI), 9,245 (2.4%) cases of ischemic stroke, 10,377 (2.7%) cases of revascularization, and 5,703 (1.5%) cases of coronary heart disease-related death. In the MR analysis, no evidence was found indicating a causal effect of WBV on MACE (IVW p-value for HSR = 0.81, IVW p-value for LSR = 0.47), MI (0.92, 0.83), ischemic stroke (0.52, 0.74), revascularization (0.71, 0.54), and coronary heart disease-related death (0.83, 0.70). The lack of sufficient evidence for causality persisted in other MR methods, including weighted median and MR-egger.</p>
CONCLUSIONS: The Mendelian randomization analysis conducted in this study does not support a causal relationship between calculated WBV and CVD.</p>
2 Authors
- Youngjune Bhak
- Albert Tenesa
1 Application
| Application ID | Title |
|---|---|
| 44986 | Methodology and tools development for modelling variation of complex traits and disease |
Enabling scientific discoveries that improve human health