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Exploring the association between COVID-19 and male genital cancer risk in European population: evidence from mendelian randomization analysis
BACKGROUND: Recently accumulated evidence indicates a potential association between COVID-19 and elevated susceptibility to cancer, including male genital cancer. However, the causal nature of this relationship remains unclear. METHODS: In this Mendelian randomization (MR) study, we investigated the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521436/ https://www.ncbi.nlm.nih.gov/pubmed/37749495 http://dx.doi.org/10.1186/s12863-023-01158-x |
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author | Wang, Dejie Ma, Yingjuan Yan, Lin Gan, Wei Han, Yugang Tan, Jiang-Shan Zhao, Wenhua |
author_facet | Wang, Dejie Ma, Yingjuan Yan, Lin Gan, Wei Han, Yugang Tan, Jiang-Shan Zhao, Wenhua |
author_sort | Wang, Dejie |
collection | PubMed |
description | BACKGROUND: Recently accumulated evidence indicates a potential association between COVID-19 and elevated susceptibility to cancer, including male genital cancer. However, the causal nature of this relationship remains unclear. METHODS: In this Mendelian randomization (MR) study, we investigated the potential causal relationship between COVID-19 and male genital cancer using genetic variants as instrumental variables. We utilized summary statistics from two large-scale genome-wide association studies of COVID-19 hospitalized Vs. controls, as well as data from a population-based male genital cancer database based on European ancestry. We applied stringent quality control measures to select instrumental variables, including checking for linkage disequilibrium, removing low-quality variants, and assessing the strength of the instruments using the F-statistic. We conducted the MR analysis using the inverse-variance weighted method and several sensitivity analyses (including MR Egger and Weighted Median MR analysis) to test the robustness of our results. RESULTS: Our MR analysis revealed no causal associations between COVID-19 hospitalization and the incidence of male genital cancer. In the inverse-variance weighted analysis, no causal associations were observed between patients with COVID-19 hospitalization and the incidence of male genital cancer (odds ratio = 1.000 and 95% confidence interval = 0.998-1.001, p = 0.668). The estimated causal effect was consistent across all sensitivity analyses (including the Weighted Median, the MR Egger analysis, and the MR PROSSO analysis). The leave-one-out analysis showed that there was no any sing Single-nucleotide polymorphism significantly influencing our results. CONCLUSIONS: Our study provides evidence that there is no causal association between COVID-19 hospitalization and male genital cancer. |
format | Online Article Text |
id | pubmed-10521436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105214362023-09-27 Exploring the association between COVID-19 and male genital cancer risk in European population: evidence from mendelian randomization analysis Wang, Dejie Ma, Yingjuan Yan, Lin Gan, Wei Han, Yugang Tan, Jiang-Shan Zhao, Wenhua BMC Genom Data Research BACKGROUND: Recently accumulated evidence indicates a potential association between COVID-19 and elevated susceptibility to cancer, including male genital cancer. However, the causal nature of this relationship remains unclear. METHODS: In this Mendelian randomization (MR) study, we investigated the potential causal relationship between COVID-19 and male genital cancer using genetic variants as instrumental variables. We utilized summary statistics from two large-scale genome-wide association studies of COVID-19 hospitalized Vs. controls, as well as data from a population-based male genital cancer database based on European ancestry. We applied stringent quality control measures to select instrumental variables, including checking for linkage disequilibrium, removing low-quality variants, and assessing the strength of the instruments using the F-statistic. We conducted the MR analysis using the inverse-variance weighted method and several sensitivity analyses (including MR Egger and Weighted Median MR analysis) to test the robustness of our results. RESULTS: Our MR analysis revealed no causal associations between COVID-19 hospitalization and the incidence of male genital cancer. In the inverse-variance weighted analysis, no causal associations were observed between patients with COVID-19 hospitalization and the incidence of male genital cancer (odds ratio = 1.000 and 95% confidence interval = 0.998-1.001, p = 0.668). The estimated causal effect was consistent across all sensitivity analyses (including the Weighted Median, the MR Egger analysis, and the MR PROSSO analysis). The leave-one-out analysis showed that there was no any sing Single-nucleotide polymorphism significantly influencing our results. CONCLUSIONS: Our study provides evidence that there is no causal association between COVID-19 hospitalization and male genital cancer. BioMed Central 2023-09-26 /pmc/articles/PMC10521436/ /pubmed/37749495 http://dx.doi.org/10.1186/s12863-023-01158-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Wang, Dejie Ma, Yingjuan Yan, Lin Gan, Wei Han, Yugang Tan, Jiang-Shan Zhao, Wenhua Exploring the association between COVID-19 and male genital cancer risk in European population: evidence from mendelian randomization analysis |
title | Exploring the association between COVID-19 and male genital cancer risk in European population: evidence from mendelian randomization analysis |
title_full | Exploring the association between COVID-19 and male genital cancer risk in European population: evidence from mendelian randomization analysis |
title_fullStr | Exploring the association between COVID-19 and male genital cancer risk in European population: evidence from mendelian randomization analysis |
title_full_unstemmed | Exploring the association between COVID-19 and male genital cancer risk in European population: evidence from mendelian randomization analysis |
title_short | Exploring the association between COVID-19 and male genital cancer risk in European population: evidence from mendelian randomization analysis |
title_sort | exploring the association between covid-19 and male genital cancer risk in european population: evidence from mendelian randomization analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521436/ https://www.ncbi.nlm.nih.gov/pubmed/37749495 http://dx.doi.org/10.1186/s12863-023-01158-x |
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