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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...

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Autores principales: Wang, Haotian, Cao, Mingyang, Xi, Yingjun, Cao, Weijie, Zhang, Xiaoyu, Meng, Xiaoni, Zheng, Deqiang, Wu, Lijuan, Wang, Wei, Liu, Di, Wang, Youxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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.
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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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