Data_Sheet_1_Investigation of Causal Effect of Type 2 Diabetes Mellitus on Lung Cancer: A Mendelian Randomization Study.xlsx
Although several observational studies have attempted to investigate the association between type 2 diabetes mellitus (T2DM) and lung cancer risk, the results are controversial. Here, we intend to examine whether there is a causal association between T2DM and lung cancer risk.
Materials and MethodsWe conducted a Mendelian randomization (MR) study to systematically investigate the effect of T2DM on lung cancer among 13,327 cases and 13,328 controls. A weighted genetic risk score (wGRS) was constructed as a proxy instrument by using 82 previously reported T2DM-related single nucleotide polymorphisms (SNPs). The logistic regression model was utilized to estimate associations of T2DM-related SNPs and wGRS with lung cancer risk. Sensitivity analyses were also performed to assess the robustness of the observed associations.
ResultsWe found no evidence for a causal relationship between T2DM and lung cancer risk (odds ratio, OR = 0.96, 95% confidence interval: 0.91–1.01, p = 0.96), and the association did not vary among populations of different age, sex, smoking status, and histological type. Sensitivity analyses (e.g., MR-Egger test) suggest that pleiotropic effects did not bias the result.
ConclusionIn this MR study with a large number of lung cancer cases, we found no evidence to support the causal role of T2DM in lung cancer risk. Further large-scale prospective studies are warranted to replicate our findings.
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References
- https://doi.org//10.1155/2012/789174
- https://doi.org//10.1158/1055-9965.EPI-16-0794
- https://doi.org//10.1093/ije/dyv080
- https://doi.org//10.1002/gepi.21758
- https://doi.org//10.1016/j.biocel.2014.04.014
- https://doi.org//10.1074/jbc.M104416200
- https://doi.org//10.1038/nature01322
- https://doi.org//10.1016/S2213-2600(19)30144-4
- https://doi.org//10.1038/nmeth.1785
- https://doi.org//10.1038/nmeth.2307
- https://doi.org//10.1136/bmj.2.4682.739
- https://doi.org//10.1155/2014/461917
- https://doi.org//10.2337/dc09-0880
- https://doi.org//10.2337/dc10-0666
- https://doi.org//10.2337/diacare.28.3.590
- https://doi.org//10.1371/journal.pgen.1000529
- https://doi.org//10.1093/jnci/djaa141
- https://doi.org//10.1038/ng.875
- https://doi.org//10.1016/S0140-6736(13)62154-6
- https://doi.org//10.1002/ijc.2910620408
- https://doi.org//10.1097/01.cej.0000228404.37858.40
- https://doi.org//10.1155/2014/149185
- https://doi.org//10.1002/ijc.27597
- https://doi.org//10.2337/dc11-2108
- https://doi.org//10.1001/jama.2015.17703
- https://doi.org//10.1038/sj.bjc.6605240
- https://doi.org//10.1016/j.jtho.2018.09.013
- https://doi.org//10.1056/NEJMoa1008862
- https://doi.org//10.4093/dmj.2014.38.5.330
- https://doi.org//10.1093/ije/dyg070
- https://doi.org//10.3322/caac.21660
- https://doi.org//10.1038/s41588-018-0332-4
- https://doi.org//10.1007/s40618-016-0508-7
- https://doi.org//10.1093/carcin/bgx084
- https://doi.org//10.1093/ije/dyx034
- https://doi.org//10.1038/nrendo.2017.151
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Categories
- Gene and Molecular Therapy
- Gene Expression (incl. Microarray and other genome-wide approaches)
- Genetics
- Genetically Modified Animals
- Livestock Cloning
- Developmental Genetics (incl. Sex Determination)
- Epigenetics (incl. Genome Methylation and Epigenomics)
- Biomarkers
- Genomics
- Genome Structure and Regulation
- Genetic Engineering