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. 2020 Sep 25;10:15737. doi: 10.1038/s41598-020-71987-8

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Mendelian Randomization unbiased causal associations and assumptions. Mendelian Randomization (MR) is an application of the instrumental variable using genetic variants Genome-Wide Association Studies (GWAS), and Single Nucleotide Polymorphisms (SNPs). MR requires several stringent assumptions to be fulfilled. First, no confounders are associated with the genetic instrument; and second, the genetic proxy of exposure (SNP) should not be independently associated with the disease outcome, but only mediates its effect via the relevant exposure. The SNPs used in the study had no association with the confounding variables (U) and no independent association with diabetes.