Human Aging-associated DNA Hypermethylation Occurs Preferentially at Bivalent Chromatin Domains
There is a growing realization that some aging-associated phenotypes/diseases have an epigenetic basis. Here we report the first genome-scale study of epigenomic dynamics during normal human aging. We identify aging-associated differentially methylated regions (aDMRs) in whole blood in a discovery cohort, and then replicate these aDMRs in sorted CD4+ T-cells and CD14+ monocytes in an independent cohort, suggesting that aDMRs occur in precursor haematopoietic cells. Further replication of the aDM...
Provenance — who produced it, who reused it
Linked to 8 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Accounting for cellular heterogeneity is critical in epigenome-w... 2014 · 1,173 cites
- Aging of blood can be tracked by DNA methylation changes at just... 2014 · 955 cites
- Aging effects on DNA methylation modules in human brain and bloo... 2012 · 678 cites
- HIV-1 Infection Accelerates Age According to the Epigenetic Cloc... 2015 · 597 cites
- Epigenetic Aging Signatures Are Coherently Modified in Cancer 2015 · 137 cites
- An integrative network algorithm identifies age-associated diffe... 2013 · 92 cites
2 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently