Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization

Abstract Previous studies have indicated a significantly higher prevalence of breast cancer (BC) among female patients with meningioma compared to the general female population. Therefore, this study aimed to assess the causal relationship between BC and meningioma at the genetic level. Genetic inst...

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Main Authors: Lu Ding, Bo Chen, Zhou Zhou, Zhaojun Mei, Kan Cao, Xinyu Lu, Wei Chen
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-88829-0
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author Lu Ding
Bo Chen
Zhou Zhou
Zhaojun Mei
Kan Cao
Xinyu Lu
Wei Chen
author_facet Lu Ding
Bo Chen
Zhou Zhou
Zhaojun Mei
Kan Cao
Xinyu Lu
Wei Chen
author_sort Lu Ding
collection DOAJ
description Abstract Previous studies have indicated a significantly higher prevalence of breast cancer (BC) among female patients with meningioma compared to the general female population. Therefore, this study aimed to assess the causal relationship between BC and meningioma at the genetic level. Genetic instrumental variables (IVs) for BC were identified from the Breast Cancer Association Consortium (BCAC), the Discovery Biology and Risk of Inherited Variants in Breast Cancer Consortium (DRIVE), the Collaborative Oncological Gene-environment Study (iCOGS), and 11 other BC genome-wide association studies (GWAS). Meningioma GWAS data were obtained from the FinnGen consortium and were further divided into intracranial and spinal meningioma groups for analysis. The primary analysis employed the inverse-variance weighted (IVW) method, supported by sensitivity analysis to address pleiotropy and enhance robustness. Next, linkage disequilibrium score regression (LDSC) was used to assess the genetic correlation between BC and meningioma. Finally, we applied the Functional Mapping and Annotation (FUMA) platform to conduct an in-depth analysis of the GWAS data. After rigorous screening and Mendelian randomization (MR) tests, genetically predicted overall BC (OR: 1.17, P = 0.0045) and ER(estrogen receptors) + BC (OR: 1.21, P = 0.0006) showed a potential causal association with intracranial meningioma. No causal relationships were found between intracranial meningioma and three BC subtypes. No bidirectional causal relationships were found between spinal meningioma and any BC subtype. The LDSC results suggested a modest positive genetic correlation between overall BC (rg: 0.152, SE: 0.077, P = 0.048), ER + BC (rg: 0.181, SE: 0.086, P = 0.035), and intracranial meningioma. FUMA analysis identified PITPNB, TTC28, and CHEK2 as shared risk genes between overall BC, ER + BC, and intracranial meningioma. These findings suggest that BC, especially ER + BC, may be a risk factor for intracranial meningioma. ER-related signaling pathways and the regulation of DNA damage may play a critical role in the pathogenesis of both diseases.
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spelling doaj-art-f6efa377e2254bb7b807bf3b716012fe2025-02-09T12:35:18ZengNature PortfolioScientific Reports2045-23222025-02-0115111210.1038/s41598-025-88829-0Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomizationLu Ding0Bo Chen1Zhou Zhou2Zhaojun Mei3Kan Cao4Xinyu Lu5Wei Chen6Department of General Practices, The Affiliated People’s Hospital of Jiangsu UniversityDepartment of Neurosurgery, The Affiliated People’s Hospital of Jiangsu UniversityDepartment of Neurosurgery, The Affiliated People’s Hospital of Jiangsu UniversityDepartment of Neurosurgery, The Affiliated People’s Hospital of Jiangsu UniversityDepartment of Neurosurgery, The Affiliated People’s Hospital of Jiangsu UniversityDepartment of Neurosurgery, The Affiliated People’s Hospital of Jiangsu UniversityDepartment of Neurosurgery, The Affiliated People’s Hospital of Jiangsu UniversityAbstract Previous studies have indicated a significantly higher prevalence of breast cancer (BC) among female patients with meningioma compared to the general female population. Therefore, this study aimed to assess the causal relationship between BC and meningioma at the genetic level. Genetic instrumental variables (IVs) for BC were identified from the Breast Cancer Association Consortium (BCAC), the Discovery Biology and Risk of Inherited Variants in Breast Cancer Consortium (DRIVE), the Collaborative Oncological Gene-environment Study (iCOGS), and 11 other BC genome-wide association studies (GWAS). Meningioma GWAS data were obtained from the FinnGen consortium and were further divided into intracranial and spinal meningioma groups for analysis. The primary analysis employed the inverse-variance weighted (IVW) method, supported by sensitivity analysis to address pleiotropy and enhance robustness. Next, linkage disequilibrium score regression (LDSC) was used to assess the genetic correlation between BC and meningioma. Finally, we applied the Functional Mapping and Annotation (FUMA) platform to conduct an in-depth analysis of the GWAS data. After rigorous screening and Mendelian randomization (MR) tests, genetically predicted overall BC (OR: 1.17, P = 0.0045) and ER(estrogen receptors) + BC (OR: 1.21, P = 0.0006) showed a potential causal association with intracranial meningioma. No causal relationships were found between intracranial meningioma and three BC subtypes. No bidirectional causal relationships were found between spinal meningioma and any BC subtype. The LDSC results suggested a modest positive genetic correlation between overall BC (rg: 0.152, SE: 0.077, P = 0.048), ER + BC (rg: 0.181, SE: 0.086, P = 0.035), and intracranial meningioma. FUMA analysis identified PITPNB, TTC28, and CHEK2 as shared risk genes between overall BC, ER + BC, and intracranial meningioma. These findings suggest that BC, especially ER + BC, may be a risk factor for intracranial meningioma. ER-related signaling pathways and the regulation of DNA damage may play a critical role in the pathogenesis of both diseases.https://doi.org/10.1038/s41598-025-88829-0MeningiomaBreast cancerMendelian randomizationCausal associationFUMA
spellingShingle Lu Ding
Bo Chen
Zhou Zhou
Zhaojun Mei
Kan Cao
Xinyu Lu
Wei Chen
Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization
Scientific Reports
Meningioma
Breast cancer
Mendelian randomization
Causal association
FUMA
title Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization
title_full Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization
title_fullStr Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization
title_full_unstemmed Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization
title_short Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization
title_sort exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional mendelian randomization
topic Meningioma
Breast cancer
Mendelian randomization
Causal association
FUMA
url https://doi.org/10.1038/s41598-025-88829-0
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