{"title":"个人辐照史与乳腺癌风险:孟德尔随机研究","authors":"Yaoyao Liu, Zeyu Liu, Jiaru Chen, Manfeng Liang, Chunqing Cai, Fei Zou, Xueqiong Zhou","doi":"10.7189/jogh.14.04106","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Studies on the relationship between personal history of irradiation and breast cancer have been reported for a long time. Still, epidemiological studies have not been conclusive, and the causal relationship is unclear. To address this issue, we employed Mendelian randomisation (MR) analysis to examine the association between individual radiation exposure history and breast cancer.</p><p><strong>Methods: </strong>We used a series of quality control methods to select single nucleotide polymorphism (SNP) closely related to exposure. Meanwhile, several analysis methods were used to analyse the sample data to make the conclusion more reliable. To evaluate the horizontal pleiotropy, heterogeneity and stability of SNPs for breast cancer, the MR-Egger intercept test, Cochran's Q test and 'leave one' sensitivity analysis were used. Finally, the outlier variation determined by the Mendelian Randomisation Pleiotropy RESidual Sum and Outlier test is gradually eliminated to reduce the influence of heterogeneity and horizontal pleiotropy.</p><p><strong>Results: </strong>After implementing rigorous quality control procedures, we carefully chose 102 qualified instrumental variables closely associated with the selected exposure for sensitivity analysis. This was conducted to evaluate the heterogeneity, level multiplicity, and stability of SNPs in the context of personal radiation history and its correlation with breast cancer. The results of the inverse variance weighted method analysis revealed a positive correlation between personal radiation and a heightened risk of breast cancer (odds ratio (OR) = 1.52; 95% confidence interval (CI) = 1.30-1.77). We also validated on another data set; the results were similar (OR = 1.51; 95% CI = 1.27-1.81). Furthermore, the findings from the sensitivity analysis were consistent. At the genetic level, our research demonstrated that personal radiation exposure is associated with an elevated risk of breast cancer.</p><p><strong>Conclusions: </strong>Using genetic data provides evidence and strengthens the causal link that personal radiation causes breast cancer.</p>","PeriodicalId":48734,"journal":{"name":"Journal of Global Health","volume":"14 ","pages":"04106"},"PeriodicalIF":4.5000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11467774/pdf/","citationCount":"0","resultStr":"{\"title\":\"Personal history of irradiation and risk of breast cancer: A Mendelian randomisation study.\",\"authors\":\"Yaoyao Liu, Zeyu Liu, Jiaru Chen, Manfeng Liang, Chunqing Cai, Fei Zou, Xueqiong Zhou\",\"doi\":\"10.7189/jogh.14.04106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Studies on the relationship between personal history of irradiation and breast cancer have been reported for a long time. Still, epidemiological studies have not been conclusive, and the causal relationship is unclear. To address this issue, we employed Mendelian randomisation (MR) analysis to examine the association between individual radiation exposure history and breast cancer.</p><p><strong>Methods: </strong>We used a series of quality control methods to select single nucleotide polymorphism (SNP) closely related to exposure. Meanwhile, several analysis methods were used to analyse the sample data to make the conclusion more reliable. To evaluate the horizontal pleiotropy, heterogeneity and stability of SNPs for breast cancer, the MR-Egger intercept test, Cochran's Q test and 'leave one' sensitivity analysis were used. Finally, the outlier variation determined by the Mendelian Randomisation Pleiotropy RESidual Sum and Outlier test is gradually eliminated to reduce the influence of heterogeneity and horizontal pleiotropy.</p><p><strong>Results: </strong>After implementing rigorous quality control procedures, we carefully chose 102 qualified instrumental variables closely associated with the selected exposure for sensitivity analysis. This was conducted to evaluate the heterogeneity, level multiplicity, and stability of SNPs in the context of personal radiation history and its correlation with breast cancer. The results of the inverse variance weighted method analysis revealed a positive correlation between personal radiation and a heightened risk of breast cancer (odds ratio (OR) = 1.52; 95% confidence interval (CI) = 1.30-1.77). We also validated on another data set; the results were similar (OR = 1.51; 95% CI = 1.27-1.81). Furthermore, the findings from the sensitivity analysis were consistent. 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引用次数: 0
摘要
背景:关于个人辐照史与乳腺癌之间关系的研究由来已久。然而,流行病学研究尚未得出结论,因果关系也不明确。针对这一问题,我们采用孟德尔随机分析法(MR)研究了个人辐照史与乳腺癌之间的关系:方法:我们采用一系列质量控制方法筛选出与辐照密切相关的单核苷酸多态性(SNP)。同时,我们采用多种分析方法对样本数据进行分析,使结论更加可靠。为了评估乳腺癌 SNP 的水平多效性、异质性和稳定性,采用了 MR-Egger 截距检验、Cochran's Q 检验和 "留一 "敏感性分析。最后,逐步剔除孟德尔随机多向性 RESidual Sum and Outlier 检验确定的离群变异,以减少异质性和水平多向性的影响:在实施严格的质量控制程序后,我们精心选择了 102 个与所选暴露密切相关的合格工具变量进行敏感性分析。这是为了评估个人辐射史及其与乳腺癌的相关性中 SNPs 的异质性、水平多重性和稳定性。逆方差加权法分析结果显示,个人辐射与乳腺癌风险增加之间存在正相关性(几率比(OR)= 1.52;95% 置信区间(CI)= 1.30-1.77)。我们还在另一个数据集上进行了验证;结果类似(OR = 1.51;95% CI = 1.27-1.81)。此外,敏感性分析的结果也是一致的。在基因层面,我们的研究表明,个人辐照与乳腺癌风险升高有关:利用基因数据提供了证据,并加强了个人辐射导致乳腺癌的因果关系。
Personal history of irradiation and risk of breast cancer: A Mendelian randomisation study.
Background: Studies on the relationship between personal history of irradiation and breast cancer have been reported for a long time. Still, epidemiological studies have not been conclusive, and the causal relationship is unclear. To address this issue, we employed Mendelian randomisation (MR) analysis to examine the association between individual radiation exposure history and breast cancer.
Methods: We used a series of quality control methods to select single nucleotide polymorphism (SNP) closely related to exposure. Meanwhile, several analysis methods were used to analyse the sample data to make the conclusion more reliable. To evaluate the horizontal pleiotropy, heterogeneity and stability of SNPs for breast cancer, the MR-Egger intercept test, Cochran's Q test and 'leave one' sensitivity analysis were used. Finally, the outlier variation determined by the Mendelian Randomisation Pleiotropy RESidual Sum and Outlier test is gradually eliminated to reduce the influence of heterogeneity and horizontal pleiotropy.
Results: After implementing rigorous quality control procedures, we carefully chose 102 qualified instrumental variables closely associated with the selected exposure for sensitivity analysis. This was conducted to evaluate the heterogeneity, level multiplicity, and stability of SNPs in the context of personal radiation history and its correlation with breast cancer. The results of the inverse variance weighted method analysis revealed a positive correlation between personal radiation and a heightened risk of breast cancer (odds ratio (OR) = 1.52; 95% confidence interval (CI) = 1.30-1.77). We also validated on another data set; the results were similar (OR = 1.51; 95% CI = 1.27-1.81). Furthermore, the findings from the sensitivity analysis were consistent. At the genetic level, our research demonstrated that personal radiation exposure is associated with an elevated risk of breast cancer.
Conclusions: Using genetic data provides evidence and strengthens the causal link that personal radiation causes breast cancer.
期刊介绍:
Journal of Global Health is a peer-reviewed journal published by the Edinburgh University Global Health Society, a not-for-profit organization registered in the UK. We publish editorials, news, viewpoints, original research and review articles in two issues per year.