Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis
Abstract Background Glioma is one of the leading types of brain tumor, but few etiologic factors of primary glioma have been identified. Previous observational research has shown an association between viral infection and glioma risk. In this study, we used Mendelian randomization (MR) analysis to e...
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BMC
2023-12-01
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Series: | BMC Medicine |
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Online Access: | https://doi.org/10.1186/s12916-023-03142-9 |
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author | Sheng Zhong Wenzhuo Yang Zhiyun Zhang Yangyiran Xie Lin Pan Jiaxin Ren Fei Ren Yifan Li Haoqun Xie Hongyu Chen Davy Deng Jie Lu Hui Li Bo Wu Youqi Chen Fei Peng Vinay K. Puduvalli Ke Sai Yunqian Li Ye Cheng Yonggao Mou |
author_facet | Sheng Zhong Wenzhuo Yang Zhiyun Zhang Yangyiran Xie Lin Pan Jiaxin Ren Fei Ren Yifan Li Haoqun Xie Hongyu Chen Davy Deng Jie Lu Hui Li Bo Wu Youqi Chen Fei Peng Vinay K. Puduvalli Ke Sai Yunqian Li Ye Cheng Yonggao Mou |
author_sort | Sheng Zhong |
collection | DOAJ |
description | Abstract Background Glioma is one of the leading types of brain tumor, but few etiologic factors of primary glioma have been identified. Previous observational research has shown an association between viral infection and glioma risk. In this study, we used Mendelian randomization (MR) analysis to explore the direction and magnitude of the causal relationship between viral infection and glioma. Methods We conducted a two-sample bidirectional MR analysis using genome-wide association study (GWAS) data. Summary statistics data of glioma were collected from the largest meta-analysis GWAS, involving 12,488 cases and 18,169 controls. Single-nucleotide polymorphisms (SNPs) associated with exposures were used as instrumental variables to estimate the causal relationship between glioma and twelve types of viral infections from corresponding GWAS data. In addition, sensitivity analyses were performed. Results After correcting for multiple tests and sensitivity analysis, we detected that genetically predicted herpes zoster (caused by Varicella zoster virus (VZV) infection) significantly decreased risk of low-grade glioma (LGG) development (OR = 0.85, 95% CI: 0.76–0.96, P = 0.01, FDR = 0.04). No causal effects of the other eleven viral infections on glioma and reverse causality were detected. Conclusions This is one of the first and largest studies in this field. We show robust evidence supporting that genetically predicted herpes zoster caused by VZV infection reduces risk of LGG. The findings of our research advance understanding of the etiology of glioma. |
first_indexed | 2024-03-09T01:17:59Z |
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id | doaj.art-d18757cc3c924ae4be725c709b8b5a6c |
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issn | 1741-7015 |
language | English |
last_indexed | 2024-03-09T01:17:59Z |
publishDate | 2023-12-01 |
publisher | BMC |
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series | BMC Medicine |
spelling | doaj.art-d18757cc3c924ae4be725c709b8b5a6c2023-12-10T12:21:28ZengBMCBMC Medicine1741-70152023-12-0121111310.1186/s12916-023-03142-9Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysisSheng Zhong0Wenzhuo Yang1Zhiyun Zhang2Yangyiran Xie3Lin Pan4Jiaxin Ren5Fei Ren6Yifan Li7Haoqun Xie8Hongyu Chen9Davy Deng10Jie Lu11Hui Li12Bo Wu13Youqi Chen14Fei Peng15Vinay K. Puduvalli16Ke Sai17Yunqian Li18Ye Cheng19Yonggao Mou20State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer CenterDepartment of Plastic Surgery, The First Hospital of Jilin UniversityVanderbilt University School of Medicine, Vanderbilt UniversityClinical College, Jilin UniversityStroke Center, Department of Neurology, The First Hospital of Jilin UniversityClinical College, Jilin UniversityState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer CenterDana Farber Cancer InstituteState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer CenterStroke Center, Department of Neurology, The First Hospital of Jilin UniversityDepartment of Orthopaedics, The First Hospital of Jilin UniversityClinical College, Jilin UniversityDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, Baylor College of MedicineDepartment of Neuro-Oncology, The University of Texas MD Anderson Cancer CenterState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer CenterDepartment of Neurosurgery, The First Hospital of Jilin UniversityDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical UniversityState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer CenterAbstract Background Glioma is one of the leading types of brain tumor, but few etiologic factors of primary glioma have been identified. Previous observational research has shown an association between viral infection and glioma risk. In this study, we used Mendelian randomization (MR) analysis to explore the direction and magnitude of the causal relationship between viral infection and glioma. Methods We conducted a two-sample bidirectional MR analysis using genome-wide association study (GWAS) data. Summary statistics data of glioma were collected from the largest meta-analysis GWAS, involving 12,488 cases and 18,169 controls. Single-nucleotide polymorphisms (SNPs) associated with exposures were used as instrumental variables to estimate the causal relationship between glioma and twelve types of viral infections from corresponding GWAS data. In addition, sensitivity analyses were performed. Results After correcting for multiple tests and sensitivity analysis, we detected that genetically predicted herpes zoster (caused by Varicella zoster virus (VZV) infection) significantly decreased risk of low-grade glioma (LGG) development (OR = 0.85, 95% CI: 0.76–0.96, P = 0.01, FDR = 0.04). No causal effects of the other eleven viral infections on glioma and reverse causality were detected. Conclusions This is one of the first and largest studies in this field. We show robust evidence supporting that genetically predicted herpes zoster caused by VZV infection reduces risk of LGG. The findings of our research advance understanding of the etiology of glioma.https://doi.org/10.1186/s12916-023-03142-9Mendelian randomizationViral infectionRiskGlioma |
spellingShingle | Sheng Zhong Wenzhuo Yang Zhiyun Zhang Yangyiran Xie Lin Pan Jiaxin Ren Fei Ren Yifan Li Haoqun Xie Hongyu Chen Davy Deng Jie Lu Hui Li Bo Wu Youqi Chen Fei Peng Vinay K. Puduvalli Ke Sai Yunqian Li Ye Cheng Yonggao Mou Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis BMC Medicine Mendelian randomization Viral infection Risk Glioma |
title | Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis |
title_full | Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis |
title_fullStr | Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis |
title_full_unstemmed | Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis |
title_short | Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis |
title_sort | association between viral infections and glioma risk a two sample bidirectional mendelian randomization analysis |
topic | Mendelian randomization Viral infection Risk Glioma |
url | https://doi.org/10.1186/s12916-023-03142-9 |
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