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Genetic Causal Association between Iron Status and Osteoarthritis: A Two-Sample Mendelian Randomization
Objective: Observational studies have shown the association between iron status and osteoarthritis (OA). However, due to difficulties of determining sequential temporality, their causal association is still elusive. Based on the summary data of genome-wide association studies (GWASs) of a large-scal...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501024/ https://www.ncbi.nlm.nih.gov/pubmed/36145059 http://dx.doi.org/10.3390/nu14183683 |
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author | Xu, Jiawen Zhang, Shaoyun Tian, Ye Si, Haibo Zeng, Yi Wu, Yuangang Liu, Yuan Li, Mingyang Sun, Kaibo Wu, Limin Shen, Bin |
author_facet | Xu, Jiawen Zhang, Shaoyun Tian, Ye Si, Haibo Zeng, Yi Wu, Yuangang Liu, Yuan Li, Mingyang Sun, Kaibo Wu, Limin Shen, Bin |
author_sort | Xu, Jiawen |
collection | PubMed |
description | Objective: Observational studies have shown the association between iron status and osteoarthritis (OA). However, due to difficulties of determining sequential temporality, their causal association is still elusive. Based on the summary data of genome-wide association studies (GWASs) of a large-scale population, this study explored the genetic causal association between iron status and OA. Methods: First, we took a series of quality control steps to select eligible instrumental SNPs which were strongly associated with exposure. The genetic causal association between iron status and OA was analyzed using the two-sample Mendelian randomization (MR). Inverse-variance weighted (IVW), MR-Egger, weighted median, simple mode, and weighted mode methods were used for analysis. The results were mainly based on IVW (random effects), followed by sensitivity analysis. IVW and MR-Egger were used for heterogeneity testing. MR-Egger was also used for pleiotropy testing. Leave-one-SNP-out analysis was used to identify single nucleotide polymorphisms (SNPs) with potential impact. Maximum likelihood, penalized weighted median, and IVW (fixed effects) were performed to further validate the reliability of results. Results: IVW results showed that transferrin saturation had a positive causal association with knee osteoarthritis (KOA), hip osteoarthritis (HOA) and KOA or HOA (p < 0.05, OR > 1), and there was a negative causal association between transferrin and HOA and KOA or HOA (p < 0.05, OR < 1). The results of heterogeneity test showed that our IVW analysis results were basically free of heterogeneity (p > 0.05). The results of the pleiotropy test showed that there was no pleiotropy in our IVW analysis (p > 0.05). The analysis results of maximum likelihood, penalized weighted median and IVW (fixed effects) were consistent with our IVW results. No genetic causal association was found between serum iron and ferritin and OA. Conclusions: This study provides evidence of the causal association between iron status and OA, which provides novel insights to the genetic research of OA. |
format | Online Article Text |
id | pubmed-9501024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95010242022-09-24 Genetic Causal Association between Iron Status and Osteoarthritis: A Two-Sample Mendelian Randomization Xu, Jiawen Zhang, Shaoyun Tian, Ye Si, Haibo Zeng, Yi Wu, Yuangang Liu, Yuan Li, Mingyang Sun, Kaibo Wu, Limin Shen, Bin Nutrients Article Objective: Observational studies have shown the association between iron status and osteoarthritis (OA). However, due to difficulties of determining sequential temporality, their causal association is still elusive. Based on the summary data of genome-wide association studies (GWASs) of a large-scale population, this study explored the genetic causal association between iron status and OA. Methods: First, we took a series of quality control steps to select eligible instrumental SNPs which were strongly associated with exposure. The genetic causal association between iron status and OA was analyzed using the two-sample Mendelian randomization (MR). Inverse-variance weighted (IVW), MR-Egger, weighted median, simple mode, and weighted mode methods were used for analysis. The results were mainly based on IVW (random effects), followed by sensitivity analysis. IVW and MR-Egger were used for heterogeneity testing. MR-Egger was also used for pleiotropy testing. Leave-one-SNP-out analysis was used to identify single nucleotide polymorphisms (SNPs) with potential impact. Maximum likelihood, penalized weighted median, and IVW (fixed effects) were performed to further validate the reliability of results. Results: IVW results showed that transferrin saturation had a positive causal association with knee osteoarthritis (KOA), hip osteoarthritis (HOA) and KOA or HOA (p < 0.05, OR > 1), and there was a negative causal association between transferrin and HOA and KOA or HOA (p < 0.05, OR < 1). The results of heterogeneity test showed that our IVW analysis results were basically free of heterogeneity (p > 0.05). The results of the pleiotropy test showed that there was no pleiotropy in our IVW analysis (p > 0.05). The analysis results of maximum likelihood, penalized weighted median and IVW (fixed effects) were consistent with our IVW results. No genetic causal association was found between serum iron and ferritin and OA. Conclusions: This study provides evidence of the causal association between iron status and OA, which provides novel insights to the genetic research of OA. MDPI 2022-09-06 /pmc/articles/PMC9501024/ /pubmed/36145059 http://dx.doi.org/10.3390/nu14183683 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xu, Jiawen Zhang, Shaoyun Tian, Ye Si, Haibo Zeng, Yi Wu, Yuangang Liu, Yuan Li, Mingyang Sun, Kaibo Wu, Limin Shen, Bin Genetic Causal Association between Iron Status and Osteoarthritis: A Two-Sample Mendelian Randomization |
title | Genetic Causal Association between Iron Status and Osteoarthritis: A Two-Sample Mendelian Randomization |
title_full | Genetic Causal Association between Iron Status and Osteoarthritis: A Two-Sample Mendelian Randomization |
title_fullStr | Genetic Causal Association between Iron Status and Osteoarthritis: A Two-Sample Mendelian Randomization |
title_full_unstemmed | Genetic Causal Association between Iron Status and Osteoarthritis: A Two-Sample Mendelian Randomization |
title_short | Genetic Causal Association between Iron Status and Osteoarthritis: A Two-Sample Mendelian Randomization |
title_sort | genetic causal association between iron status and osteoarthritis: a two-sample mendelian randomization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501024/ https://www.ncbi.nlm.nih.gov/pubmed/36145059 http://dx.doi.org/10.3390/nu14183683 |
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