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. 2019 Jul 1;9:9439. doi: 10.1038/s41598-019-45823-7

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© The Author(s) 2019

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Power analysis. The relationship between power and variation explained in the trait of interest by a genetic variant with a sample size of 13,807 at a significance level of 5 × 10⁻⁸. The y-axis represents the power and the x-axis the variance explained by a genetic variant. The horizontal red line represents the power of 80%. This Figure shows that we had 80% power to detect a genetic variant that explained at least 0.28% of variation in fasting glucose change over time.