Howell Amy Elizabeth, Zheng Jie, Haycock Philip C, McAleenan Alexandra, Relton Caroline, Martin Richard M, Kurian Kathreena M
Brain Tumour Research Centre, Institute of Clinical Neurosciences, University of Bristol, Bristol, United Kingdom.
MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Front Genet. 2018 Nov 12;9:525. doi: 10.3389/fgene.2018.00525. eCollection 2018.
Gliomas are a group of primary brain tumors, the most common and aggressive subtype of which is glioblastoma. Glioblastoma has a median survival of just 15 months after diagnosis. Only previous exposure to ionizing radiation and particular inherited genetic syndromes are accepted risk factors for glioma; the vast majority of cases are thought to occur spontaneously. Previous observational studies have described associations between several risk factors and glioma, but studies are often conflicting and whether these associations reflect true casual relationships is unclear because observational studies may be susceptible to confounding, measurement error and reverse causation. Mendelian randomization (MR) is a form of instrumental variable analysis that can be used to provide supporting evidence for causal relationships between exposures (e.g., risk factors) and outcomes (e.g., disease onset). MR utilizes genetic variants, such as single nucleotide polymorphisms (SNPs), that are robustly associated with an exposure to determine whether there is a causal effect of the exposure on the outcome. MR is less susceptible to confounding, reverse causation and measurement errors as it is based on the random inheritance during conception of genetic variants that can be relatively accurately measured. In previous studies, MR has implicated a genetically predicted increase in telomere length with an increased risk of glioma, and found little evidence that obesity related factors, vitamin D or atopy are causal in glioma risk. In this review, we describe MR and its potential use to discover and validate novel risk factors, mechanistic factors, and therapeutic targets in glioma.
胶质瘤是一组原发性脑肿瘤,其中最常见且侵袭性最强的亚型是胶质母细胞瘤。胶质母细胞瘤确诊后的中位生存期仅为15个月。目前仅接受既往暴露于电离辐射和特定的遗传性遗传综合征作为胶质瘤的危险因素;绝大多数病例被认为是自发发生的。既往的观察性研究描述了几种危险因素与胶质瘤之间的关联,但研究结果往往相互矛盾,而且这些关联是否反映真正的因果关系尚不清楚,因为观察性研究可能容易受到混杂因素、测量误差和反向因果关系的影响。孟德尔随机化(MR)是一种工具变量分析形式,可用于为暴露因素(如危险因素)与结局(如疾病发生)之间的因果关系提供支持性证据。MR利用与暴露因素密切相关的基因变异,如单核苷酸多态性(SNP),来确定暴露因素对结局是否有因果效应。由于MR基于受孕时基因变异的随机遗传,而基因变异可以相对准确地测量,因此它不易受到混杂因素、反向因果关系和测量误差的影响。在以往的研究中,MR表明遗传预测的端粒长度增加与胶质瘤风险增加有关,并且几乎没有证据表明肥胖相关因素、维生素D或特应性是胶质瘤风险的因果因素。在本综述中,我们描述了MR及其在发现和验证胶质瘤新的危险因素、机制因素和治疗靶点方面的潜在用途。