ArticleNutrients2022
Appraising the Causal Association between Systemic Iron Status and Heart Failure Risk: A Mendelian Randomisation Study.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Walking pace is a protective factor for rheumatoid arthritis: a mendelian randomization study.Scientific reports · 2024Observational
- Causal links between circulatory inflammatory cytokines and risk of digestive polyps: a Mendelian randomization analysis.Frontiers in pharmacology · 2024Article
- Using Mendelian Randomization to Study the Role of Iron in Health and Disease.International journal of molecular sciences · 2023Review
- Causal effects between gut microbiota and IgA nephropathy: a bidirectional Mendelian randomization study.Frontiers in cellular and infection microbiology · 2023Article
- Article
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Although observational studies have shown that abnormal systemic iron status is associated with an increased risk of heart failure (HF), it remains unclear whether this relationship represents true causality. We aimed to explore the causal relationship between iron status and HF risk. Two-sample Mendelian randomisation (MR) was applied to obtain a causal estimate. Genetic summary statistical data for the associations (p < 5 × 10−8) between single nucleotide polymorphisms (SNPs) and four iron status parameters were obtained from the Genetics of Iron Status Consortium in genome-wide association studies involving 48,972 subjects. Statistical data on the association of SNPs with HF were extracted from the UK biobank consortium (including 1088 HF cases and 360,106 controls). The results were further tested using MR based on the Bayesian model averaging (MR-BMA) and multivariate MR (MVMR). Of the twelve SNPs considered to be valid instrumental variables, three SNPs (rs1800562, rs855791, and rs1799945) were associated with all four iron biomarkers. Genetically predicted iron status biomarkers were not causally associated with HF risk (all p > 0.05). Sensitivity analysis did not show evidence of potential heterogeneity and horizontal pleiotropy. Convincing evidence to support a causal relationship between iron status and HF risk was not found. The strong relationship between abnormal iron status and HF risk may be explained by an indirect mechanism.
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Registered trials
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