Mikiyas Amare Getu, Xianbin Zhang, Ying Ying, Peng Gong
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Causal relationships were primarily evaluated through inverse-variance weighting-based analyses, supplemented by three additional methods: MR-Egger, weighted median, and mode-based estimate. Sensitivity analyses were performed, excluding genetic variants with potential pleiotropic effects. The finding demonstrated a causal association between T1D and increased risks of lung cancer (OR = 1.018, 95% CI 1.004-1.033, p = 0.011), colorectal cancer (OR = 1.022, 95% CI 1.003-1.041, p = 0.019), and prostate cancer (OR = 1.018, 95% CI 1.005-1.030, p = 0.006). Conversely, T1D was associated with decreased risks of breast cancer (OR = 0.989, 95% CI 0.981-0.998, p = 0.016), lymphoma (OR = 0.999, 95% CI 0.974-0.999, p = 0.003), malignant melanoma (OR = 0.999, 95% CI 0.989-0.999, p = 0.001), and non-melanoma skin cancer (OR = 0.999, 95% CI 0.899-0.999, p = 0.003). Our MR study provides an evidence of causal association between T1D and altered risks of various site-specific cancers. 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引用次数: 0
摘要
以往的观察性研究表明,1 型糖尿病(T1D)与特定部位癌症风险之间存在潜在联系。然而,由于混杂因素、反向因果关系以及观察性研究固有的偏差,这种关联的性质仍不确定。为了填补这一空白,我们进行了一项双样本孟德尔随机化(MR)研究,以评估 T1D 与 22 种特定部位癌症之间的因果关系。我们从欧洲血统的大规模全基因组关联研究(包括 T1D(N = 520,580 例)和 22 种特定部位癌症的数据)中收集了汇总统计数据,并选择了与 T1D 密切相关的单核苷酸多态性作为分析工具。因果关系主要通过基于逆方差的加权分析进行评估,并辅以另外三种方法:MR-Egger、加权中位数和基于模式的估计。进行了敏感性分析,排除了具有潜在多效应的遗传变异。研究结果表明,T1D 与肺癌(OR = 1.018,95% CI 1.004-1.033,p = 0.011)、结直肠癌(OR = 1.022,95% CI 1.003-1.041,p = 0.019)和前列腺癌(OR = 1.018,95% CI 1.005-1.030,p = 0.006)风险增加之间存在因果关系。相反,T1D 与乳腺癌(OR = 0.989,95% CI 0.981-0.998,p = 0.016)、淋巴瘤(OR = 0.999,95% CI 0.974-0.999,p = 0.003)、恶性黑色素瘤(OR = 0.999,95% CI 0.989-0.999,p = 0.001)和非黑色素瘤皮肤癌(OR = 0.999,95% CI 0.899-0.999,p = 0.003)的发病风险降低有关。我们的磁共振研究为 T1D 与各种特定部位癌症风险的改变之间的因果关系提供了证据。建议开展进一步研究,在不同人群中验证这一发现,以提高研究结果在不同种族群体中的普遍性。
A two-sample Mendelian randomization study of type 1 diabetes and the risk of 22 site-specific cancers.
Previous observational studies have suggested a potential link between Type 1 Diabetes (T1D) and site-specific cancer risk. However, the nature of this association remains uncertain due to confounding factors, reverse causation, and biases inherent in observational research. To address this gap, we conducted a two-sample Mendelian randomization (MR) study to assess the causal relationship between T1D and 22 site-specific cancers. Using summary statistics from large-scale genome-wide association studies of European ancestry, comprising data on T1D (N = 520,580) and the 22 site-specific cancers, we selected single nucleotide polymorphisms strongly associated with T1D as instruments for our analysis. Causal relationships were primarily evaluated through inverse-variance weighting-based analyses, supplemented by three additional methods: MR-Egger, weighted median, and mode-based estimate. Sensitivity analyses were performed, excluding genetic variants with potential pleiotropic effects. The finding demonstrated a causal association between T1D and increased risks of lung cancer (OR = 1.018, 95% CI 1.004-1.033, p = 0.011), colorectal cancer (OR = 1.022, 95% CI 1.003-1.041, p = 0.019), and prostate cancer (OR = 1.018, 95% CI 1.005-1.030, p = 0.006). Conversely, T1D was associated with decreased risks of breast cancer (OR = 0.989, 95% CI 0.981-0.998, p = 0.016), lymphoma (OR = 0.999, 95% CI 0.974-0.999, p = 0.003), malignant melanoma (OR = 0.999, 95% CI 0.989-0.999, p = 0.001), and non-melanoma skin cancer (OR = 0.999, 95% CI 0.899-0.999, p = 0.003). Our MR study provides an evidence of causal association between T1D and altered risks of various site-specific cancers. Further research is recommended to validate this finding in diverse populations to enhance the generalizability of findings across different ethnic groups.
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