ArticleFrontiers in endocrinology2022
No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mendelian randomization studies of risk and protective factors for osteoporosis: a systematic review and meta-analysis.Frontiers in endocrinology · 2024Pooled it
- Epidemiology of Helicobacter pylori, gastric precancerous lesions and gastric cancer: a multicenter, population-based cross-sectional study in Nanjing.BMC infectious diseases · 2025Article
- Association between serum iron status and the risk of five bone and joint-related diseases: a Mendelian randomization analysis.Frontiers in endocrinology · 2024Article
- A two-sample Mendelian randomization study of circulating lipids and deep venous thrombosis.Scientific reports · 2023Article
- Current insights into the functional roles of ferroptosis in musculoskeletal diseases and therapeutic implications.Frontiers in cell and developmental biology · 2023Review
Corrections and comments
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Authors and funding
11 authors.
Funding
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Abstract
Objective: To explore the genetic causal association between osteoporosis (OP) and iron status through Mendelian randomization (MR). Methods: Publicly available genome-wide association study (GWAS) summary data were used for MR analysis with four iron status-related indicators (ferritin, iron, total iron binding capacity, and transferrin saturation) as exposures and three different types of OP (OP, OP with pathological fracture, and postmenopausal OP with pathological fracture) as outcomes. The inverse-variance weighted (IVW) method was used to analyze the genetic causal association between the four indicators of iron status and OP. The heterogeneity of MR results was determined using IVW and MR-Egger methods. The pleiotropy of MR results was determined using MR-Egger regression. A leave-one-SNP-out test was performed to determine whether the MR results were affected by a single nucleotide polymorphism (SNP). The weighted median method was conducted to further validate our results. Results: Based on IVW, MR-Egger and weighted median models, we found no causal association between iron status (ferritin, iron, total iron binding capacity, or transferrin saturation) and OP (P Conclusion: Our results demonstrate that there is no genetic causal association between OP and iron status, but the effects of other factors were not excluded.
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