Abstract | AIM: We conducted a two-sample Mendelian randomization (MR) study to assess the associations of genetically predicted circulating vitamin C levels with cardiovascular diseases (CVDs). METHODS AND RESULTS: Ten lead single-nucleotide polymorphisms associated with plasma vitamin C levels at the genome-wide significance level were used as instrumental variables. Summary-level data for 15 CVDs were obtained from corresponding genetic consortia, the UK Biobank study, and the FinnGen consortium. The inverse-variance-weighted method was the primary analysis method, supplemented by the weighted median and MR-Egger methods. Estimates for each CVD from different sources were combined. Genetically predicted vitamin C levels were not associated with any CVD after accounting for multiple testing. However, there were suggestive associations of higher genetically predicted vitamin C levels (per 1 standard deviation increase) with lower risk of cardioembolic stroke [odds ratio, 0.79; 95% confidence interval (CI), 0.64, 0.99; P = 0.038] and higher risk of atrial fibrillation (odds ratio, 1.09; 95% CI, 1.00, 1.18; P = 0.049) in the inverse-variance-weighted method and with lower risk of peripheral artery disease (odds ratio, 0.76, 95% CI, 0.62, 0.93; P = 0.009) in the weighted median method. CONCLUSION:
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Authors | Shuai Yuan, Ju-Sheng Zheng, Amy M Mason, Stephen Burgess, Susanna C Larsson |
Journal | European journal of preventive cardiology
(Eur J Prev Cardiol)
Vol. 28
Issue 16
Pg. 1829-1837
(01 11 2022)
ISSN: 2047-4881 [Electronic] England |
PMID | 34057996
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | © The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology. |
Chemical References |
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Topics |
- Ascorbic Acid
(blood)
- Cardiovascular Diseases
(diagnosis, epidemiology, genetics)
- Humans
- Mendelian Randomization Analysis
- Polymorphism, Single Nucleotide
- Risk Factors
- Vitamins
(blood)
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