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Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization

BACKGROUND: Frailty index and vestibular disorders appear to be associated in observational studies, but causality of the association remains unclear. METHODS: A two-sample Mendelian randomization (MR) study was implemented to explore the causal relationship between the frailty index and vestibular...

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Autores principales: Xiao, Gui, Wang, Hu, Hu, Jiaji, Liu, Li, Zhang, Tingting, Zhou, Mengjia, Li, Xingxing, Qin, Chunxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448900/
https://www.ncbi.nlm.nih.gov/pubmed/36090295
http://dx.doi.org/10.3389/fnins.2022.990682
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author Xiao, Gui
Wang, Hu
Hu, Jiaji
Liu, Li
Zhang, Tingting
Zhou, Mengjia
Li, Xingxing
Qin, Chunxiang
author_facet Xiao, Gui
Wang, Hu
Hu, Jiaji
Liu, Li
Zhang, Tingting
Zhou, Mengjia
Li, Xingxing
Qin, Chunxiang
author_sort Xiao, Gui
collection PubMed
description BACKGROUND: Frailty index and vestibular disorders appear to be associated in observational studies, but causality of the association remains unclear. METHODS: A two-sample Mendelian randomization (MR) study was implemented to explore the causal relationship between the frailty index and vestibular disorders in individuals of European descent. A genome-wide association study (GWAS) of frailty index was used as the exposure (n = 175, 226), whereas the GWAS of vestibular disorders was the outcome (n = 462,933). MR Steiger filtering method was conducted to investigate the causal effect of the frailty index on vestibular disorders. An inverse variance weighted (IVW) approach was used as the essential approach to examine the causality. Additionally, the MR-Egger methods, the simple mode analysis, the weighted median analysis, and the weighted mode analysis were used as supplementary methods. The MR-PRESSO analysis, the MR-Egger intercept analysis, and Cochran's Q statistical analysis also were used to detect the possible heterogeneity as well as directional pleiotropy. To evaluate this association, the odds ratio (OR) with 95% confidence intervals (CIs) was used. All statistical analyses were performed in R. The STROBE-MR checklist for the reporting of MR studies was used in this study. RESULTS: In total, 14 single nucleotide polymorphisms (SNPs) were identified as effective instrumental variables (IVs) in the two sample MR analyses. The significant causal effect of the frailty index on vestibular disorders was demonstrated by IVW method [OR 1.008 (95% CI 1.003, 1.013), p = 0.001]. Results from the various sensitivity analysis were consistent. The “leave-one-out” analysis indicated that our results were robust even without a single SNP. According to the MR-Egger intercept test [intercept = −0.000151, SE = 0.011, p = 0.544], genetic pleiotropy did not affect the results. No heterogeneity was detected by Cochran's Q test. Results of MR Steiger directionality test indicated the accuracy of our estimate of the potential causal direction (Steiger p < 0.001). CONCLUSION: The MR study suggested that genetically predicted frailty index may be associated with an increased risk of vestibular disorders. Notably, considering the limitations of this study, the causal effects between frailty index and vestibular disorders need further investigation. These results support the importance of effectively managing frailty which may minimize vestibular disorders and improve the quality of life for those with vestibular disorders.
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spelling pubmed-94489002022-09-08 Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization Xiao, Gui Wang, Hu Hu, Jiaji Liu, Li Zhang, Tingting Zhou, Mengjia Li, Xingxing Qin, Chunxiang Front Neurosci Neuroscience BACKGROUND: Frailty index and vestibular disorders appear to be associated in observational studies, but causality of the association remains unclear. METHODS: A two-sample Mendelian randomization (MR) study was implemented to explore the causal relationship between the frailty index and vestibular disorders in individuals of European descent. A genome-wide association study (GWAS) of frailty index was used as the exposure (n = 175, 226), whereas the GWAS of vestibular disorders was the outcome (n = 462,933). MR Steiger filtering method was conducted to investigate the causal effect of the frailty index on vestibular disorders. An inverse variance weighted (IVW) approach was used as the essential approach to examine the causality. Additionally, the MR-Egger methods, the simple mode analysis, the weighted median analysis, and the weighted mode analysis were used as supplementary methods. The MR-PRESSO analysis, the MR-Egger intercept analysis, and Cochran's Q statistical analysis also were used to detect the possible heterogeneity as well as directional pleiotropy. To evaluate this association, the odds ratio (OR) with 95% confidence intervals (CIs) was used. All statistical analyses were performed in R. The STROBE-MR checklist for the reporting of MR studies was used in this study. RESULTS: In total, 14 single nucleotide polymorphisms (SNPs) were identified as effective instrumental variables (IVs) in the two sample MR analyses. The significant causal effect of the frailty index on vestibular disorders was demonstrated by IVW method [OR 1.008 (95% CI 1.003, 1.013), p = 0.001]. Results from the various sensitivity analysis were consistent. The “leave-one-out” analysis indicated that our results were robust even without a single SNP. According to the MR-Egger intercept test [intercept = −0.000151, SE = 0.011, p = 0.544], genetic pleiotropy did not affect the results. No heterogeneity was detected by Cochran's Q test. Results of MR Steiger directionality test indicated the accuracy of our estimate of the potential causal direction (Steiger p < 0.001). CONCLUSION: The MR study suggested that genetically predicted frailty index may be associated with an increased risk of vestibular disorders. Notably, considering the limitations of this study, the causal effects between frailty index and vestibular disorders need further investigation. These results support the importance of effectively managing frailty which may minimize vestibular disorders and improve the quality of life for those with vestibular disorders. Frontiers Media S.A. 2022-08-24 /pmc/articles/PMC9448900/ /pubmed/36090295 http://dx.doi.org/10.3389/fnins.2022.990682 Text en Copyright © 2022 Xiao, Wang, Hu, Liu, Zhang, Zhou, Li and Qin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Xiao, Gui
Wang, Hu
Hu, Jiaji
Liu, Li
Zhang, Tingting
Zhou, Mengjia
Li, Xingxing
Qin, Chunxiang
Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization
title Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization
title_full Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization
title_fullStr Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization
title_full_unstemmed Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization
title_short Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization
title_sort estimating the causal effect of frailty index on vestibular disorders: a two-sample mendelian randomization
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448900/
https://www.ncbi.nlm.nih.gov/pubmed/36090295
http://dx.doi.org/10.3389/fnins.2022.990682
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