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[Preprint]. 2024 Jun 11:2024.06.07.597771. [Version 1] doi: 10.1101/2024.06.07.597771

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Figure 3. — a, Linear regression was used to determine the association between age gaps and modifiable lifestyle choices while accounting for age and sex. Heatmap colored by signed log10(q-value) is shown. Only significant (q<0.05) values are colored.

b, Linear regression was used to determine the association between age gaps and drugs/supplement intake while accounting for age and sex. Only drugs with significant (q<0.05) youthful associations in at least two organs are shown. Heatmap is colored by signed log10(q-value). Only significant (q<0.05) values are colored.

c, Linear regression was used to determine the association between age gaps versus early menopause and estrogen treatment together. Bar plot showing signed log10(p-value) for menopause and estrogen covariates is shown.

d, Boxplot visualization of immune age gaps in individuals stratified by menopause status and estrogen treatment. Standard boxplot structure was used.