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. 2022 Aug 23;13:4953. doi: 10.1038/s41467-022-32598-1

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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 — One hundred and fifty-nine healthy individuals’ plasma WGS data (50M reads) from the study in ref. 9 study, sequenced on the same machine, were used to explore the relationship between aging signatures in plasma and chronological age. We correlated known aging/clock-like²⁷ signatures (SBS1 and SBS5) against age. Both signatures showed a significant positive correlation with age (one-sided Pearson test). Adjusted p values (q) are shown. The gray shaded area indicates the 95% confidence interval of the fitted linear model. All putative aging-correlated signatures are correlated with age in Supplementary Figs. 13 and 14. Source data are provided as a Source data file.