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Based on the observations above, we performed an overlap analysis of aging and behavior significant genes.
The overlap of age-associated differential gene expression in HPC and MSC was moderate.
As would be predicted by our findings of a "prematurely aged" gene expression profile in AD, we found a statistically significant overlap of age-correlated genes and AD-associated genes (p = 3.34×10−4 by Fisher's exact test).
Similarly, in FTLD-TDP, where we also found a "prematurely aged" gene expression profile, we observed a statistically significant overlap of age-correlated genes and FTLD-TDP-associated genes in both FTLD-TDP patients with GRN mutations (p = 2.02×10−6 by Fisher's exact test) and FTLD-TDP patients without GRN mutations (p = 1.21×10−4 by Fisher's exact test).
In the case of cancer samples, the degrees of overlap of age-associated CpG loci between study pairs were also significant, but less so than for normal samples.
However, most study pairs with normal samples showed significantly greater degrees of overlap of age-associated CpG loci than would be expected by chance.
After inspection of the Schoenfeld residuals we conclude that the overlap of age categories is very minor, and we proceed without altering the models.
In analogy, each dataset was analysed separately and the overlap of age-associated changes supported the notion that they occur in different tissues.
This results in an increasing overlap of ages in the mother cell populations harvested at later time points, as modeled for a starting cohort of 1000 cells (see methods: Harvesting time points ).
As noted above, theories of aging often overlap each other, suggesting interactions across different systems and mechanisms.
In comparison to dwarf mutations, however, the transcriptional effects of CR (and some CR mimetics) overlapped more strongly with those of aging.
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