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No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780364/ https://www.ncbi.nlm.nih.gov/pubmed/36568116 http://dx.doi.org/10.3389/fendo.2022.996244 |
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author | Xu, Jiawen Ma, Jun Chen, Jialei Zhang, Shaoyun Zheng, Che Si, Haibo Wu, Yuangang Liu, Yuan Li, Mingyang Wu, Limin Shen, Bin |
author_facet | Xu, Jiawen Ma, Jun Chen, Jialei Zhang, Shaoyun Zheng, Che Si, Haibo Wu, Yuangang Liu, Yuan Li, Mingyang Wu, Limin Shen, Bin |
author_sort | Xu, Jiawen |
collection | PubMed |
description | 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(beta) > 0.05 in all models). IVW and MR–Egger analysis of OP with pathological fracture and iron status indicators showed no potential genetic causal association (P(beta)> 0.05 in the two analyses). The results of the weighted median were consistent with those of IVW (P(beta)> 0.05 in all analyses). There was no potential genetic causal association between iron status and postmenopausal OP with pathological fracture based on serum iron (P(beta)>0.05 in all models). No heterogeneity or horizontal pleiotropy was found in any of the analyses. None of the leave-one-out tests in the analyses found any SNP that could affect the results of MR. 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. |
format | Online Article Text |
id | pubmed-9780364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97803642022-12-24 No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization Xu, Jiawen Ma, Jun Chen, Jialei Zhang, Shaoyun Zheng, Che Si, Haibo Wu, Yuangang Liu, Yuan Li, Mingyang Wu, Limin Shen, Bin Front Endocrinol (Lausanne) Endocrinology 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(beta) > 0.05 in all models). IVW and MR–Egger analysis of OP with pathological fracture and iron status indicators showed no potential genetic causal association (P(beta)> 0.05 in the two analyses). The results of the weighted median were consistent with those of IVW (P(beta)> 0.05 in all analyses). There was no potential genetic causal association between iron status and postmenopausal OP with pathological fracture based on serum iron (P(beta)>0.05 in all models). No heterogeneity or horizontal pleiotropy was found in any of the analyses. None of the leave-one-out tests in the analyses found any SNP that could affect the results of MR. 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. Frontiers Media S.A. 2022-12-09 /pmc/articles/PMC9780364/ /pubmed/36568116 http://dx.doi.org/10.3389/fendo.2022.996244 Text en Copyright © 2022 Xu, Ma, Chen, Zhang, Zheng, Si, Wu, Liu, Li, Wu and Shen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Xu, Jiawen Ma, Jun Chen, Jialei Zhang, Shaoyun Zheng, Che Si, Haibo Wu, Yuangang Liu, Yuan Li, Mingyang Wu, Limin Shen, Bin No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization |
title | No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization |
title_full | No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization |
title_fullStr | No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization |
title_full_unstemmed | No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization |
title_short | No genetic causal association between iron status and osteoporosis: A two-sample Mendelian randomization |
title_sort | no genetic causal association between iron status and osteoporosis: a two-sample mendelian randomization |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780364/ https://www.ncbi.nlm.nih.gov/pubmed/36568116 http://dx.doi.org/10.3389/fendo.2022.996244 |
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