ArticleFrontiers in cardiovascular medicine2023
The causal effects of genetically determined human blood metabolites on the risk of atrial fibrillation.
Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Protective effect of uridine on atrial fibrillation: a Mendelian randomisation study.Scientific reports · 2023Pooled it
- Metabolomic Profiles Associated With Sugary Beverage Intakes in Youth.Pediatric obesity · 2026Article
- Association of tricarboxylic acid cycle related-metabolites with hypertension in older adults: a community-based cross-sectional study.Journal of human hypertension · 2025Article
- Investigating the relationship between blood metabolites and diabetic retinopathy using two-sample mendelian randomization and in vivo validation.Scientific reports · 2024Article
- Assessing the Genetic Causal Effects Between Blood Metabolites and Spinal Pain: A Bidirectional Two-Sample Mendelian Randomization Study.Journal of pain research · 2024Article
- Protective Effect of Uridine on Structural and Functional Rearrangements in Heart Mitochondria after a High-Dose Isoprenaline Exposure Modelling Stress-Induced Cardiomyopathy in Rats.International journal of molecular sciences · 2023Article
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
Background: Blood metabolites have been found related to atrial fibrillation (AF), but the causal role is still unclear. Mendel randomization (MR) can give information about the causality between blood metabolites and AF. Methods: Two-sample MR analysis was used to evaluate the causality between 486 blood metabolites and AF. Firstly, the genome-wide association study (GWAS) data for AF (from Nielsen et al.) was analyzed and some metabolites were identified. Then another GWAS data for AF (from Roselli et al.) was repeatedly analyzed to verify the results. Inverse variance weighted method was mainly used to determine the causality, and MR-egger, Weighted Median, and MR-PRESSO models were used as supplements of MR. Cochran's Results: The study used Bonferroni's corrected Conclusion: The study identified several blood metabolites that were causally related to AF, which may provide new perspectives on the pathogenesis of AF.
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