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. 2022 Oct 6;13:5895. doi: 10.1038/s41467-022-33511-6

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© The Author(s) 2022

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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Fig. 5 — a Complementary cumulative distribution function of the out-of-sample variance explained by the full model, blood cell composition, genetic factors, intrinsic factors (i.e., age and sex) and environmental exposures (i.e., smoking, CMV infection and CRP levels), for 644,517 CpG sites. b Complementary cumulative distribution function of the out-of-sample variance explained by genetic factors, intrinsic factors, environmental exposures and gene × environment (G × E) interactions, when conditioning on blood cell composition, for 644,517 CpG sites. c Proportion of the explained out-of-sample variance of 5mC levels for the 20,000 CpG sites with the variance most explained by blood cell composition, genetic factors, intrinsic factors and environmental exposures, respectively.