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Lung cancer (LC) is related with higher morbidity and mortality rates and, hence, remains a significant threat to human overall health (Torre et al., 2015; Siegel et al., 2020). LC is typically found at sophisticated stages resulting from inconspicuous symptoms in the early stage of illness and the lack of successful and practical screening procedures (Nasim et al., 2019). Thus, risk aspects and biomarkers in the carcinogenesis and progression of LC need to be explored for application in screening and clinical practice. While smoking can be a big risk factor, some LC patients have no history of smoking, indicating that other variables, for example second-hand smoke, indoor air pollution, and genetic variables, can market the onset and progression of LC (Rivera and Wakelee, 2016). Molecular epidemiological and experimental research have shown that genetic variations play crucial roles within the occurrence of LC (Malhotra et al., 2016). A single nucleotide polymorphism (SNP), that is defined as a nucleotide variation using a frequency of greater than 1 inside a population,Frontiers in Molecular Biosciences | frontiersin.orgSeptember 2021 | Volume eight | ArticleLi et al.SNPs and Lung Cancer Riskis essentially the most widespread type of genetic variation inside the human genome. A expanding number of studies on relationships amongst SNP and LC danger have already been published in current years. Systematic critiques and meta-analyses with reasonably higher levels of epidemiological proof have summarized the associations amongst a SNP (or particular SNP) and LC danger, for the reason that the results have been somewhat inconsistent (Lau et al., 1998). Having said that, the associations identified by systematic reviews and meta-analyses could be not accurate owing towards the influence of many variables, for example publication bias (Ioannidis, 2005). Dong et al. evaluated the results of meta-analyses and pooled analyses in conjunction with the false constructive report probability (FPRP) to summarize the genetic susceptibility to cancer and found only 11 important associations between genetic variations and LC risk (Dong et al., 2008). Marshall et al. mainly employed the outcomes of meta-analyses to overview genetic susceptibility to LC which was identified with a candidate gene approach (Marshall and Christiani, 2013). In 2017, Liu et al. utilized the Venice criteria and FPRP to evaluate the results of meta-analyses to additional summarize genetic associations using the threat of LC and Caspase Activator Storage & Stability discovered only 15 SNP with sturdy evidence (Liu et al., 2017). Nonetheless, towards the greatest of our know-how, an umbrella critique that extracts information, in lieu of the outcomes, of systematic evaluations and meta-analyses to calculate and evaluate the associations among SNP and LC danger has not been reported at present. Consequently, so as to comprehensively and accurately assess the relationships among SNP and
