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. 2023 May 2;23(1):e13859. doi: 10.1111/acel.13859

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© 2023 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Principal component analysis of individuals from the Gene SMART cohort at age‐related DMPs, and individuals from the GSE18732 cohort at age‐related DEGs. We used principal component analysis (PCA) to reduce dimensionality and show each individual on a two‐dimensional graph. Individuals from the Gene SMART cohort (a) and from the GSE18732 cohort (b) are colored according to their baseline VO_2max levels. Lower levels of VO_2max are indicated by smaller circles in lighter colors, while higher levels are indicated by larger circles in darker reds. To objectively test the clustering of individuals according to VO_2max, we ran Pearson correlations between individual coordinates on Dimension 1, Dimension 2, or Dimension 3 and VO_2max.