Comparative Pearson's correlation shows a clear similarity between "HGPS", "Middle" and "Old" groups.
In accordance with previous findings "HGPS", "Middle" and "Old" groups have 13 similarly activated signaling pathways.
Principal component analysis also shows that "HGPS", "Middle" and "Old" groups are closely allocated, even though "HGPS" samples have a higher variability and in some respect they are closer to the "Middle" group.
In turn, the PAS values for "Young", "Middle" and "Old" groups from datasets were obtained from datasets GSE15829 [ 51], GSE17032 [ 52], GSE28300 [ 53] and GSE55118 [ 54], using the samples from "Young" group as a reference.
Fifty-nine subjeconsistingsting of a young, middle and old group, were studied using functional MRI and a motor activation paradigm.
This is a population-based study providing further evidence that polypharmacy may increase fall-related fracture risk in older people, especially in the middle older age groups.
After PAS values for all datasets had been calculated all samples were combined into the group they belong to, resulting in 15, 25, 16 and 26 samples in "Young", "Middle", "Old" and "HGPS" groups respectively (Table 1).
We also produced a Venn diagram representing the number of similarly up-/down-regulated pathways between "Young", "Middle", "Old" and "HGPS" groups.
In addition, disease genes and non-disease genes show no substantial difference in the correlation between Ka/ Ks and gene expression, even after these genes were assigned into young-, middle-aged, and old groups (fig. S7 8).
The coefficient of age altered the PFM differently between younger, middle, and older groups (0.07; P = 0.02 vs 0.13; P < 0.01 vs 0.26; P < 0.01; respectively).
