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Genetically predicted higher educational attainment decreases the risk of stroke: a multivariable Mendelian randomization study
BACKGROUND: The causal association between educational attainment (EA) and stroke remains unclear. Hence, a novel multivariable Mendelian randomization (MVMR) approach was applied to solve this issue. METHODS: The single nucleotide polymorphisms (SNPs) from a recent genome-wide association study (GW...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205080/ https://www.ncbi.nlm.nih.gov/pubmed/35710362 http://dx.doi.org/10.1186/s12872-022-02713-7 |
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author | Zhang, Weihao Li, Yuanjin Li, Yuming Zheng, Kai Zou, Shenghui Jia, Xing Yang, Hua |
author_facet | Zhang, Weihao Li, Yuanjin Li, Yuming Zheng, Kai Zou, Shenghui Jia, Xing Yang, Hua |
author_sort | Zhang, Weihao |
collection | PubMed |
description | BACKGROUND: The causal association between educational attainment (EA) and stroke remains unclear. Hence, a novel multivariable Mendelian randomization (MVMR) approach was applied to solve this issue. METHODS: The single nucleotide polymorphisms (SNPs) from a recent genome-wide association study (GWAS) on years of schooling served as instruments. Univariable mendelian randomization (MR) and MVMR analyses were performed to detect the relationship between genetically predicted EA and the stroke risk. In the MVMR, cigarette consumption, alcohol consumption, body mass index (BMI), intelligence, and hypertension were adjusted. The summary statistics for stroke from the MEGASTROKE consortium included 446,696 participants (40,585 cases of stroke and 34,217 cases of ischemic stroke), most of whom were of European descent. RESULTS: In the univariable MR, genetically predicated EA could decrease the risks of total stroke (OR = 0.66, 95% CI 0.61–0.72, P = 2.70 × 10(–23)), ischemic stroke (OR = 0.67, 95% CI 0.61–0.73, P = 2.58 × 10(–18)), large artery atherosclerosis (OR = 0.51, 95% CI 0.40–0.64, P = 1.80 × 10(–8)), small vessel stroke (OR = 0.60, 95% CI 0.49–0.73, P = 5.59 × 10(–7)), and cardioembolic stroke (OR = 0.81, 95% CI 0.68–0.96, P = 1.46 × 10(–2)) using the inverse-variance weighted (IVW) estimator. Higher EA might be negatively correlated with the odds of total stroke (OR = 0.62, 95% CI 0.50–0.77, P = 1.44 × 10(–5)), ischemic stroke (OR = 0.63, 95% CI 0.50–0.80, P = 1.41 × 10(–4)), and cardioembolic stroke (OR = 0.59, 95% CI 0.39–0.90, P = 0.01), but was not significant in large artery atherosclerosis (OR = 0.65, 95% CI 0.37–1.15, P = 0.14) and small vessel stroke (OR = 0.68, 95% CI 0.41–1.13, P = 0.14) after controlling other exposures. CONCLUSIONS: We found that genetically predicated higher EA decreased the risks of total stroke, ischemic stroke, and cardioembolic stroke, independent of smoking, alcohol consumption, BMI, intelligence, and hypertension. |
format | Online Article Text |
id | pubmed-9205080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92050802022-06-18 Genetically predicted higher educational attainment decreases the risk of stroke: a multivariable Mendelian randomization study Zhang, Weihao Li, Yuanjin Li, Yuming Zheng, Kai Zou, Shenghui Jia, Xing Yang, Hua BMC Cardiovasc Disord Research BACKGROUND: The causal association between educational attainment (EA) and stroke remains unclear. Hence, a novel multivariable Mendelian randomization (MVMR) approach was applied to solve this issue. METHODS: The single nucleotide polymorphisms (SNPs) from a recent genome-wide association study (GWAS) on years of schooling served as instruments. Univariable mendelian randomization (MR) and MVMR analyses were performed to detect the relationship between genetically predicted EA and the stroke risk. In the MVMR, cigarette consumption, alcohol consumption, body mass index (BMI), intelligence, and hypertension were adjusted. The summary statistics for stroke from the MEGASTROKE consortium included 446,696 participants (40,585 cases of stroke and 34,217 cases of ischemic stroke), most of whom were of European descent. RESULTS: In the univariable MR, genetically predicated EA could decrease the risks of total stroke (OR = 0.66, 95% CI 0.61–0.72, P = 2.70 × 10(–23)), ischemic stroke (OR = 0.67, 95% CI 0.61–0.73, P = 2.58 × 10(–18)), large artery atherosclerosis (OR = 0.51, 95% CI 0.40–0.64, P = 1.80 × 10(–8)), small vessel stroke (OR = 0.60, 95% CI 0.49–0.73, P = 5.59 × 10(–7)), and cardioembolic stroke (OR = 0.81, 95% CI 0.68–0.96, P = 1.46 × 10(–2)) using the inverse-variance weighted (IVW) estimator. Higher EA might be negatively correlated with the odds of total stroke (OR = 0.62, 95% CI 0.50–0.77, P = 1.44 × 10(–5)), ischemic stroke (OR = 0.63, 95% CI 0.50–0.80, P = 1.41 × 10(–4)), and cardioembolic stroke (OR = 0.59, 95% CI 0.39–0.90, P = 0.01), but was not significant in large artery atherosclerosis (OR = 0.65, 95% CI 0.37–1.15, P = 0.14) and small vessel stroke (OR = 0.68, 95% CI 0.41–1.13, P = 0.14) after controlling other exposures. CONCLUSIONS: We found that genetically predicated higher EA decreased the risks of total stroke, ischemic stroke, and cardioembolic stroke, independent of smoking, alcohol consumption, BMI, intelligence, and hypertension. BioMed Central 2022-06-16 /pmc/articles/PMC9205080/ /pubmed/35710362 http://dx.doi.org/10.1186/s12872-022-02713-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Weihao Li, Yuanjin Li, Yuming Zheng, Kai Zou, Shenghui Jia, Xing Yang, Hua Genetically predicted higher educational attainment decreases the risk of stroke: a multivariable Mendelian randomization study |
title | Genetically predicted higher educational attainment decreases the risk of stroke: a multivariable Mendelian randomization study |
title_full | Genetically predicted higher educational attainment decreases the risk of stroke: a multivariable Mendelian randomization study |
title_fullStr | Genetically predicted higher educational attainment decreases the risk of stroke: a multivariable Mendelian randomization study |
title_full_unstemmed | Genetically predicted higher educational attainment decreases the risk of stroke: a multivariable Mendelian randomization study |
title_short | Genetically predicted higher educational attainment decreases the risk of stroke: a multivariable Mendelian randomization study |
title_sort | genetically predicted higher educational attainment decreases the risk of stroke: a multivariable mendelian randomization study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205080/ https://www.ncbi.nlm.nih.gov/pubmed/35710362 http://dx.doi.org/10.1186/s12872-022-02713-7 |
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