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The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study
Blood levels of iron and copper, even within their normal ranges, have been associated with a wide range of clinical outcomes. The available epidemiological evidence for these associations is often inconsistent and suffers from confounding and reverse causation. This study aims to examine the causal...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603077/ https://www.ncbi.nlm.nih.gov/pubmed/33080795 http://dx.doi.org/10.3390/nu12103174 |
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author | Zhou, Jingqi Liu, Chang Francis, Michael Sun, Yitang Ryu, Moon-Suhn Grider, Arthur Ye, Kaixiong |
author_facet | Zhou, Jingqi Liu, Chang Francis, Michael Sun, Yitang Ryu, Moon-Suhn Grider, Arthur Ye, Kaixiong |
author_sort | Zhou, Jingqi |
collection | PubMed |
description | Blood levels of iron and copper, even within their normal ranges, have been associated with a wide range of clinical outcomes. The available epidemiological evidence for these associations is often inconsistent and suffers from confounding and reverse causation. This study aims to examine the causal clinical effects of blood iron and copper with Mendelian randomization (MR) analyses. Genetic instruments for the blood levels of iron and copper were curated from existing genome-wide association studies. Candidate clinical outcomes were identified based on a phenome-wide association study (PheWAS) between these genetic instruments and a wide range of phenotypes in 310,999 unrelated individuals of European ancestry from the UK Biobank. All signals passing stringent correction for multiple testing were followed by MR analyses, with replication in independent data sources where possible. We found that genetically predicted higher blood levels of iron and copper are both associated with lower risks of iron deficiency anemia (odds ratio (OR) = 0.75, 95% confidence interval (CI): 0.67–0.85, p = 1.90 × 10(−6) for iron; OR = 0.88, 95% CI: 0.78–0.98, p = 0.032 for copper), lipid metabolism disorders, and its two subcategories, hyperlipidemia (OR = 0.90, 95% CI: 0.85–0.96, p = 6.44 × 10(−4); OR = 0.92, 95% CI: 0.87–0.98, p = 5.51 × 10(−3)) and hypercholesterolemia (OR = 0.90, 95% CI: 0.84–0.95, p = 5.34 × 10(−4); OR = 0.93, 95% CI: 0.89–0.99, p = 0.022). Consistently, they are also associated with lower blood levels of total cholesterol and low-density lipoprotein cholesterol. Multiple sensitivity tests were applied to assess the presence of pleiotropy and the robustness of causal estimates. Regardless of the approaches, consistent evidence was obtained. Moreover, the unique clinical effects of each blood mineral were identified. Notably, genetically predicated higher blood iron is associated with an enhanced risk of varicose veins (OR = 1.28, 95% CI: 1.15–1.42, p = 4.34 × 10(−6)), while blood copper is positively associated with the risk of osteoarthrosis (OR = 1.07, 95% CI: 1.02–1.13, p = 0.010). Sex-stratified MR analysis further revealed some degree of sex differences in their clinical effects. Our comparative PheWAS-MR study of iron and copper comprehensively characterized their shared and unique clinical effects, highlighting their potential causal roles in hyperlipidemia and hypercholesterolemia. Given the modifiable nature of blood mineral status and the potential for clinical intervention, these findings warrant further investigation. |
format | Online Article Text |
id | pubmed-7603077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76030772020-11-01 The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study Zhou, Jingqi Liu, Chang Francis, Michael Sun, Yitang Ryu, Moon-Suhn Grider, Arthur Ye, Kaixiong Nutrients Article Blood levels of iron and copper, even within their normal ranges, have been associated with a wide range of clinical outcomes. The available epidemiological evidence for these associations is often inconsistent and suffers from confounding and reverse causation. This study aims to examine the causal clinical effects of blood iron and copper with Mendelian randomization (MR) analyses. Genetic instruments for the blood levels of iron and copper were curated from existing genome-wide association studies. Candidate clinical outcomes were identified based on a phenome-wide association study (PheWAS) between these genetic instruments and a wide range of phenotypes in 310,999 unrelated individuals of European ancestry from the UK Biobank. All signals passing stringent correction for multiple testing were followed by MR analyses, with replication in independent data sources where possible. We found that genetically predicted higher blood levels of iron and copper are both associated with lower risks of iron deficiency anemia (odds ratio (OR) = 0.75, 95% confidence interval (CI): 0.67–0.85, p = 1.90 × 10(−6) for iron; OR = 0.88, 95% CI: 0.78–0.98, p = 0.032 for copper), lipid metabolism disorders, and its two subcategories, hyperlipidemia (OR = 0.90, 95% CI: 0.85–0.96, p = 6.44 × 10(−4); OR = 0.92, 95% CI: 0.87–0.98, p = 5.51 × 10(−3)) and hypercholesterolemia (OR = 0.90, 95% CI: 0.84–0.95, p = 5.34 × 10(−4); OR = 0.93, 95% CI: 0.89–0.99, p = 0.022). Consistently, they are also associated with lower blood levels of total cholesterol and low-density lipoprotein cholesterol. Multiple sensitivity tests were applied to assess the presence of pleiotropy and the robustness of causal estimates. Regardless of the approaches, consistent evidence was obtained. Moreover, the unique clinical effects of each blood mineral were identified. Notably, genetically predicated higher blood iron is associated with an enhanced risk of varicose veins (OR = 1.28, 95% CI: 1.15–1.42, p = 4.34 × 10(−6)), while blood copper is positively associated with the risk of osteoarthrosis (OR = 1.07, 95% CI: 1.02–1.13, p = 0.010). Sex-stratified MR analysis further revealed some degree of sex differences in their clinical effects. Our comparative PheWAS-MR study of iron and copper comprehensively characterized their shared and unique clinical effects, highlighting their potential causal roles in hyperlipidemia and hypercholesterolemia. Given the modifiable nature of blood mineral status and the potential for clinical intervention, these findings warrant further investigation. MDPI 2020-10-17 /pmc/articles/PMC7603077/ /pubmed/33080795 http://dx.doi.org/10.3390/nu12103174 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhou, Jingqi Liu, Chang Francis, Michael Sun, Yitang Ryu, Moon-Suhn Grider, Arthur Ye, Kaixiong The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study |
title | The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study |
title_full | The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study |
title_fullStr | The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study |
title_full_unstemmed | The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study |
title_short | The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study |
title_sort | causal effects of blood iron and copper on lipid metabolism diseases: evidence from phenome-wide mendelian randomization study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603077/ https://www.ncbi.nlm.nih.gov/pubmed/33080795 http://dx.doi.org/10.3390/nu12103174 |
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