Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization study
BackgroundEpidemiological surveys have found that particulate matter 2.5 (PM2.5) plays an important role in hypothyroidism. However, due to the methodological limitations of traditional observational studies, it is difficult to make causal inferences. In the present study, we assessed the causal ass...
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Frontiers Media S.A.
2022-11-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1000103/full |
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author | Yuning Zhang Shouzheng Liu Yunwen Wang Yue Wang |
author_facet | Yuning Zhang Shouzheng Liu Yunwen Wang Yue Wang |
author_sort | Yuning Zhang |
collection | DOAJ |
description | BackgroundEpidemiological surveys have found that particulate matter 2.5 (PM2.5) plays an important role in hypothyroidism. However, due to the methodological limitations of traditional observational studies, it is difficult to make causal inferences. In the present study, we assessed the causal association between PM2.5 concentrations and risk of hypothyroidism using two-sample Mendelian randomization (TSMR).MethodsWe performed TSMR by using aggregated data from genome-wide association studies (GWAS) on the IEU Open GWAS database. We identified seven single nucleotide polymorphisms (SNPs) associated with PM2.5 concentrations as instrumental variables (IVs). We used inverse-variance weighting (IVW) as the main analytical method, and we selected MR-Egger, weighted median, simple model, and weighted model methods for quality control.ResultsMR analysis showed that PM2.5 has a positive effect on the risk of hypothyroidism: An increase of 1 standard deviation (SD) in PM2.5 concentrations increases the risk of hypothyroidism by ~10.0% (odds ratio 1.10, 95% confidence interval 1.06–1.13, P = 2.93E-08, by IVW analysis); there was no heterogeneity or pleiotropy in the results.ConclusionIn conclusion, increased PM2.5 concentrations are associated with an increased risk of hypothyroidism. This study provides evidence of a causal relationship between PM2.5 and the risk of hypothyroidism, so air pollution control may have important implications for the prevention of hypothyroidism. |
first_indexed | 2024-04-13T08:18:42Z |
format | Article |
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institution | Directory Open Access Journal |
issn | 2296-2565 |
language | English |
last_indexed | 2024-04-13T08:18:42Z |
publishDate | 2022-11-01 |
publisher | Frontiers Media S.A. |
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spelling | doaj.art-16740bbefc5d458a86b31e79782a9abb2022-12-22T02:54:42ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-11-011010.3389/fpubh.2022.10001031000103Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization studyYuning Zhang0Shouzheng Liu1Yunwen Wang2Yue Wang3College of Environment, Liaoning University, Shenyang, Liaoning, ChinaLiaoning Provincial Ecological and Environmental Affairs Service Center, Shenyang, Liaoning, ChinaNational Center for Human Genetic Resources, Beijing, ChinaDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang, Liaoning, ChinaBackgroundEpidemiological surveys have found that particulate matter 2.5 (PM2.5) plays an important role in hypothyroidism. However, due to the methodological limitations of traditional observational studies, it is difficult to make causal inferences. In the present study, we assessed the causal association between PM2.5 concentrations and risk of hypothyroidism using two-sample Mendelian randomization (TSMR).MethodsWe performed TSMR by using aggregated data from genome-wide association studies (GWAS) on the IEU Open GWAS database. We identified seven single nucleotide polymorphisms (SNPs) associated with PM2.5 concentrations as instrumental variables (IVs). We used inverse-variance weighting (IVW) as the main analytical method, and we selected MR-Egger, weighted median, simple model, and weighted model methods for quality control.ResultsMR analysis showed that PM2.5 has a positive effect on the risk of hypothyroidism: An increase of 1 standard deviation (SD) in PM2.5 concentrations increases the risk of hypothyroidism by ~10.0% (odds ratio 1.10, 95% confidence interval 1.06–1.13, P = 2.93E-08, by IVW analysis); there was no heterogeneity or pleiotropy in the results.ConclusionIn conclusion, increased PM2.5 concentrations are associated with an increased risk of hypothyroidism. This study provides evidence of a causal relationship between PM2.5 and the risk of hypothyroidism, so air pollution control may have important implications for the prevention of hypothyroidism.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1000103/fullPM2.5hypothyroidismMendelian randomizationair pollutionGWAS |
spellingShingle | Yuning Zhang Shouzheng Liu Yunwen Wang Yue Wang Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization study Frontiers in Public Health PM2.5 hypothyroidism Mendelian randomization air pollution GWAS |
title | Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization study |
title_full | Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization study |
title_fullStr | Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization study |
title_full_unstemmed | Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization study |
title_short | Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization study |
title_sort | causal relationship between particulate matter 2 5 and hypothyroidism a two sample mendelian randomization study |
topic | PM2.5 hypothyroidism Mendelian randomization air pollution GWAS |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1000103/full |
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