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Externalizing traits: Shared causalities for COVID-19 and Alzheimer's dementia using Mendelian randomization analysis
Externalizing traits have been related with the outcomes of coronavirus disease 2019 (COVID-19) and Alzheimer's dementia (AD); however, whether these associations are causal remains unknown. We used the two-sample Mendelian randomization (MR) approach with more than 200 single-nucleotide polymo...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287533/ https://www.ncbi.nlm.nih.gov/pubmed/37361546 http://dx.doi.org/10.1093/pnasnexus/pgad198 |
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author | Wang, Haotian Cao, Mingyang Xi, Yingjun Cao, Weijie Zhang, Xiaoyu Meng, Xiaoni Zheng, Deqiang Wu, Lijuan Wang, Wei Liu, Di Wang, Youxin |
author_facet | Wang, Haotian Cao, Mingyang Xi, Yingjun Cao, Weijie Zhang, Xiaoyu Meng, Xiaoni Zheng, Deqiang Wu, Lijuan Wang, Wei Liu, Di Wang, Youxin |
author_sort | Wang, Haotian |
collection | PubMed |
description | Externalizing traits have been related with the outcomes of coronavirus disease 2019 (COVID-19) and Alzheimer's dementia (AD); however, whether these associations are causal remains unknown. We used the two-sample Mendelian randomization (MR) approach with more than 200 single-nucleotide polymorphisms (SNPs) for externalizing traits to explore the causal associations of externalizing traits with the risk of COVID-19 (infected COVID-19, hospitalized COVID-19, and severe COVID-19) or AD based on the summary data. The inverse variance–weighted method (IVW) was used to estimate the main effect, followed by several sensitivity analyses. IVW analysis showed significant associations of externalizing traits with COVID-19 infection (odds ratio [OR] = 1.456, 95% confidence interval [95% CI] = 1.224–1.731), hospitalized COVID-19 (OR = 1.970, 95% CI = 1.374–2.826), and AD (OR = 1.077, 95% CI = 1.037–1.119). The results were consistent using weighted median (WM), penalized weighted median (PWM), MR-robust adjusted profile score (MR-RAPS), and leave-one-out sensitivity analyses. Our findings assist in exploring the causal effect of externalizing traits on the pathophysiology of infection and severe infection of COVID-19 and AD. Furthermore, our study provides evidence that shared externalizing traits underpin the two diseases. |
format | Online Article Text |
id | pubmed-10287533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102875332023-06-23 Externalizing traits: Shared causalities for COVID-19 and Alzheimer's dementia using Mendelian randomization analysis Wang, Haotian Cao, Mingyang Xi, Yingjun Cao, Weijie Zhang, Xiaoyu Meng, Xiaoni Zheng, Deqiang Wu, Lijuan Wang, Wei Liu, Di Wang, Youxin PNAS Nexus Biological, Health, and Medical Sciences Externalizing traits have been related with the outcomes of coronavirus disease 2019 (COVID-19) and Alzheimer's dementia (AD); however, whether these associations are causal remains unknown. We used the two-sample Mendelian randomization (MR) approach with more than 200 single-nucleotide polymorphisms (SNPs) for externalizing traits to explore the causal associations of externalizing traits with the risk of COVID-19 (infected COVID-19, hospitalized COVID-19, and severe COVID-19) or AD based on the summary data. The inverse variance–weighted method (IVW) was used to estimate the main effect, followed by several sensitivity analyses. IVW analysis showed significant associations of externalizing traits with COVID-19 infection (odds ratio [OR] = 1.456, 95% confidence interval [95% CI] = 1.224–1.731), hospitalized COVID-19 (OR = 1.970, 95% CI = 1.374–2.826), and AD (OR = 1.077, 95% CI = 1.037–1.119). The results were consistent using weighted median (WM), penalized weighted median (PWM), MR-robust adjusted profile score (MR-RAPS), and leave-one-out sensitivity analyses. Our findings assist in exploring the causal effect of externalizing traits on the pathophysiology of infection and severe infection of COVID-19 and AD. Furthermore, our study provides evidence that shared externalizing traits underpin the two diseases. Oxford University Press 2023-06-15 /pmc/articles/PMC10287533/ /pubmed/37361546 http://dx.doi.org/10.1093/pnasnexus/pgad198 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Biological, Health, and Medical Sciences Wang, Haotian Cao, Mingyang Xi, Yingjun Cao, Weijie Zhang, Xiaoyu Meng, Xiaoni Zheng, Deqiang Wu, Lijuan Wang, Wei Liu, Di Wang, Youxin Externalizing traits: Shared causalities for COVID-19 and Alzheimer's dementia using Mendelian randomization analysis |
title | Externalizing traits: Shared causalities for COVID-19 and Alzheimer's dementia using Mendelian randomization analysis |
title_full | Externalizing traits: Shared causalities for COVID-19 and Alzheimer's dementia using Mendelian randomization analysis |
title_fullStr | Externalizing traits: Shared causalities for COVID-19 and Alzheimer's dementia using Mendelian randomization analysis |
title_full_unstemmed | Externalizing traits: Shared causalities for COVID-19 and Alzheimer's dementia using Mendelian randomization analysis |
title_short | Externalizing traits: Shared causalities for COVID-19 and Alzheimer's dementia using Mendelian randomization analysis |
title_sort | externalizing traits: shared causalities for covid-19 and alzheimer's dementia using mendelian randomization analysis |
topic | Biological, Health, and Medical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287533/ https://www.ncbi.nlm.nih.gov/pubmed/37361546 http://dx.doi.org/10.1093/pnasnexus/pgad198 |
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