DataSheet1_Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk.zip

The aim is to comprehensively and accurately assess potential relationships between single nucleotide polymorphisms (SNP) and lung cancer (LC) risk by summarizing the evidence in systematic reviews and meta-analyses. This umbrella review was registered with the PROSPERO international prospective register of systematic reviews under registration number CRD42020204685. The PubMed, Web of Science, and Embase databases were searched to identify eligible systematic reviews and meta-analyses from inception to August 14, 2020. The evaluation of cumulative evidence was conducted for associations with nominally statistical significance based on the Venice criteria and false positive report probability (FPRP). This umbrella review finally included 120 articles of a total of 190 SNP. The median number of studies and sample size included in the meta-analyses were five (range, 3–52) and 4 389 (range, 354–256 490), respectively. A total of 85 SNP (in 218 genetic models) were nominally statistically associated with LC risk. Based on the Venice criteria and FPRP, 13 SNP (in 22 genetic models), 47 SNP (in 99 genetic models), and 55 SNP (in 94 genetic models) had strong, moderate, and weak cumulative evidence of associations with LC risk, respectively. In conclusion, this umbrella review indicated that only 13 SNP (of 11 genes and one miRNA) were strongly correlated to LC risk. These findings can serve as a general and helpful reference for further genetic studies.

本研究旨在通过系统综述与荟萃分析的证据整合，全面精准地评估单核苷酸多态性（single nucleotide polymorphisms, SNP）与肺癌（lung cancer, LC）发病风险间的潜在关联。本伞状综述已在PROSPERO国际系统综述前瞻性注册平台完成注册，注册编号为CRD42020204685。研究检索了PubMed、Web of Science及Embase数据库，筛选自建库至2020年8月14日期间符合纳入标准的系统综述与荟萃分析。基于威尼斯标准（Venice criteria）与假阳性报告概率（false positive report probability, FPRP），对达到名义统计学显著性的关联开展累积证据评级。本伞状综述最终纳入120篇文献，共涉及190个SNP位点。荟萃分析所纳入的研究数量与样本量的中位数分别为5项（范围：3~52）与4389例（范围：354~256490）。共计85个SNP位点（涉及218个遗传模型）与肺癌发病风险呈名义统计学显著性关联。基于威尼斯标准与假阳性报告概率，分别有13个SNP位点（涉及22个遗传模型）、47个SNP位点（涉及99个遗传模型）与55个SNP位点（涉及94个遗传模型）表现出与肺癌发病风险相关的强、中等与弱累积证据。综上，本伞状综述表明，仅13个SNP位点（关联11个基因及1个miRNA）与肺癌发病风险存在强相关性。上述研究结果可为后续遗传学研究提供通用且具有参考价值的依据。