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Causal relationship between Alzheimer’s disease and cardiovascular disease: a bidirectional Mendelian randomization analysis
Observational studies suggest that cardiovascular disease (CVD) increases the risk of developing Alzheimer’s disease (AD). However, the causal relationship between the two is not clear. This study applied a two-sample bidirectional Mendelian randomization method to explore the causal relationship be...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522384/ https://www.ncbi.nlm.nih.gov/pubmed/37665672 http://dx.doi.org/10.18632/aging.205013 |
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author | Zhang, Fengjun Xian, Dexian Feng, Junchen Ning, Luning Jiang, Tianshou Xu, Wenchang Liu, Yuan Zhao, Qiong Peng, Min |
author_facet | Zhang, Fengjun Xian, Dexian Feng, Junchen Ning, Luning Jiang, Tianshou Xu, Wenchang Liu, Yuan Zhao, Qiong Peng, Min |
author_sort | Zhang, Fengjun |
collection | PubMed |
description | Observational studies suggest that cardiovascular disease (CVD) increases the risk of developing Alzheimer’s disease (AD). However, the causal relationship between the two is not clear. This study applied a two-sample bidirectional Mendelian randomization method to explore the causal relationship between CVD and AD. Genome-wide association study (GWAS) data from 46 datasets of European populations (21,982 cases of AD and 41,944 controls) were utilized to obtain genetic instrumental variables for AD. In addition, genetic instrumental variables for atrial fibrillation (AF), heart failure (HF), myocardial infarction (MI), coronary heart disease (CHD), angina pectoris (AP), and ischemic stroke (IS) (including large-artery atherosclerotic stroke [LAS] and cardioembolic stroke [CES]) were selected from GWAS data of European populations (P < 5E-8). The inverse variance weighting method was employed as the major Mendelian randomization analysis method. Genetically predicted AD odds ratios (OR) (1.06) (95% CI: 1.02–1.10, P = 0.003) were linked to higher AP analysis. A higher genetically predicted OR for CES (0.9) (95% CI 0.82–0.99, P = 0.02) was linked to a decreased AD risk. This Mendelian randomized study identified AD as a risk factor for AP. In addition, CES was related to a reduced incidence of AD. Therefore, these modifiable risk factors are crucial targets for preventing and treating AD. |
format | Online Article Text |
id | pubmed-10522384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-105223842023-09-27 Causal relationship between Alzheimer’s disease and cardiovascular disease: a bidirectional Mendelian randomization analysis Zhang, Fengjun Xian, Dexian Feng, Junchen Ning, Luning Jiang, Tianshou Xu, Wenchang Liu, Yuan Zhao, Qiong Peng, Min Aging (Albany NY) Research Paper Observational studies suggest that cardiovascular disease (CVD) increases the risk of developing Alzheimer’s disease (AD). However, the causal relationship between the two is not clear. This study applied a two-sample bidirectional Mendelian randomization method to explore the causal relationship between CVD and AD. Genome-wide association study (GWAS) data from 46 datasets of European populations (21,982 cases of AD and 41,944 controls) were utilized to obtain genetic instrumental variables for AD. In addition, genetic instrumental variables for atrial fibrillation (AF), heart failure (HF), myocardial infarction (MI), coronary heart disease (CHD), angina pectoris (AP), and ischemic stroke (IS) (including large-artery atherosclerotic stroke [LAS] and cardioembolic stroke [CES]) were selected from GWAS data of European populations (P < 5E-8). The inverse variance weighting method was employed as the major Mendelian randomization analysis method. Genetically predicted AD odds ratios (OR) (1.06) (95% CI: 1.02–1.10, P = 0.003) were linked to higher AP analysis. A higher genetically predicted OR for CES (0.9) (95% CI 0.82–0.99, P = 0.02) was linked to a decreased AD risk. This Mendelian randomized study identified AD as a risk factor for AP. In addition, CES was related to a reduced incidence of AD. Therefore, these modifiable risk factors are crucial targets for preventing and treating AD. Impact Journals 2023-09-02 /pmc/articles/PMC10522384/ /pubmed/37665672 http://dx.doi.org/10.18632/aging.205013 Text en Copyright: © 2023 Zhang et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Zhang, Fengjun Xian, Dexian Feng, Junchen Ning, Luning Jiang, Tianshou Xu, Wenchang Liu, Yuan Zhao, Qiong Peng, Min Causal relationship between Alzheimer’s disease and cardiovascular disease: a bidirectional Mendelian randomization analysis |
title | Causal relationship between Alzheimer’s disease and cardiovascular disease: a bidirectional Mendelian randomization analysis |
title_full | Causal relationship between Alzheimer’s disease and cardiovascular disease: a bidirectional Mendelian randomization analysis |
title_fullStr | Causal relationship between Alzheimer’s disease and cardiovascular disease: a bidirectional Mendelian randomization analysis |
title_full_unstemmed | Causal relationship between Alzheimer’s disease and cardiovascular disease: a bidirectional Mendelian randomization analysis |
title_short | Causal relationship between Alzheimer’s disease and cardiovascular disease: a bidirectional Mendelian randomization analysis |
title_sort | causal relationship between alzheimer’s disease and cardiovascular disease: a bidirectional mendelian randomization analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522384/ https://www.ncbi.nlm.nih.gov/pubmed/37665672 http://dx.doi.org/10.18632/aging.205013 |
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