Searching for causal relationships of glioma: a phenome-wide Mendelian randomisation study.

Searching for causal relationships of glioma: a phenome-wide Mendelian randomisation study.
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DOI:
10.1038/s41416-020-01083-1
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发表时间:
2021-01
影响因子:
8.8
通讯作者:
Collaborators
Collaborators
中科院分区:
医学1区
文献类型:
--
作者:
Saunders CN;Cornish AJ;Kinnersley B;Law PJ;Houlston RS;Collaborators

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神经胶质瘤的病因学知之甚少。全基因组关联研究(GWAS)的总结数据可用于孟德尔随机化(MR)全表型关联研究(PheWAS),以搜索胶质瘤风险因素。我们进行了一项MR-PheWAS分析,分析了316种表型,由8387种遗传变异代表,并总结了来自12,488例胶质瘤病例和18,169例对照的GWAS的遗传数据。在随机效应逆方差加权(IVW-RE)模型下估计因果效应,计算稳健调整特征评分(MR-RAPS)、加权中位数和基于模式的估计值,以评估结果的稳健性。计算所有胶质瘤、胶质母细胞瘤(GBM)和非GBM肿瘤的每种表型每增加一个标准差的比值比。在IVW-RE模型下,没有观察到表型与胶质瘤之间的显著关联(P < 1.58 × 10−4)。在白细胞端粒长度(LTL)与所有胶质瘤(ORSD = 3.91,P = 9.24 × 10−3)和GBM(ORSD = 4.86,P = 3.23 × 10−2)之间观察到暗示性关联(1.58 × 10−4 < P < 0.05),但这种关联主要由TERT变体rs 2736100驱动。血清低密度脂蛋白胆固醇和血浆HbA 1C显示与胶质瘤相关(分别为ORSD = 1.11,P = 1.39 × 10−2和ORSD = 1.28,P = 1.73 × 10−2),这两种相关性都依赖于单一的遗传变异。我们的研究为神经胶质瘤的病因学基础提供了进一步的见解,而已发表的数据则是混合的。
The aetiology of glioma is poorly understood. Summary data from genome-wide association studies (GWAS) can be used in a Mendelian randomisation (MR) phenome-wide association study (PheWAS) to search for glioma risk factors. We performed an MR-PheWAS analysing 316 phenotypes, proxied by 8387 genetic variants, and summary genetic data from a GWAS of 12,488 glioma cases and 18,169 controls. Causal effects were estimated under a random-effects inverse-variance-weighted (IVW-RE) model, with robust adjusted profile score (MR-RAPS), weighted median and mode-based estimates computed to assess the robustness of findings. Odds ratios per one standard deviation increase in each phenotype were calculated for all glioma, glioblastoma (GBM) and non-GBM tumours. No significant associations (P < 1.58 × 10−4) were observed between phenotypes and glioma under the IVW-RE model. Suggestive associations (1.58 × 10−4 < P < 0.05) were observed between leukocyte telomere length (LTL) with all glioma (ORSD = 3.91, P = 9.24 × 10−3) and GBM (ORSD = 4.86, P = 3.23 × 10−2), but the association was primarily driven by the TERT variant rs2736100. Serum low-density lipoprotein cholesterol and plasma HbA1C showed suggestive associations with glioma (ORSD = 1.11, P = 1.39 × 10−2 and ORSD = 1.28, P = 1.73 × 10−2, respectively), both associations being reliant on single genetic variants. Our study provides further insight into the aetiological basis of glioma for which published data have been mixed.
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