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. 2023 Jul 31;15:59. doi: 10.1186/s13073-023-01211-5

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© The Author(s) 2023

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Non-linear rate of change of immune-cell-type fractions with age. a Left panel: Smoothed density scatterplot of the estimated naïve CD8 + T-cell fraction against chronological age for all samples aged between 20 and 85 from 20 cohorts, with the loess regression curve (span = 0.3) displayed in magenta. Excluded cohorts are MRC1946, which only contains samples of the same age (age = 53) and Song, which profiled PBMCs and not whole blood. Middle and Right panels: as left but plotting males and females separately. b As a but for the estimated naïve CD4 + T-cell fraction. Only samples aged between 20 and 85 from 16 cohorts where the association of naïve CD4 + fraction with age was significant (multivariate linear regression P < 0.05) and with same directionality were used. Excluded cohorts are MRC1946, Hannum, Tsaprouni, HPT-450 k, Song, and VACS