This 2019 worldwide review of epigenetic clocks was a semi-anonymous mishmash of opinions, facts, hypotheses, unwarranted extrapolations, and beliefs. Diversity of viewpoints among the 21 coauthors wasn’t evident.
1. Citations of coauthors’ works seemed excessive, and they apologized for omissions. However:
- Challenge 5 was titled “Single-cell analysis of aging changes and disease” and
- Table 1 “Major biological and analytic issues with epigenetic DNA methylation clocks” had single-cell analysis as the Proposed solution to five Significant issues.
Yet studies such as High-Resolution Single-Cell DNA Methylation Measurements Reveal Epigenetically Distinct Hematopoietic Stem Cell Subpopulations were unmentioned.
2. Some coauthors semi-anonymously expressed faith that using current flawed methodologies in the future – only more thoroughly, with newer equipment, etc. – would yield better results. If all 21 coauthors were asked their viewpoints of Proposed solutions to the top three Significant issues of epigenetic clocks, what would they emphasize when quoted?
3. Techniques were praised:
“Given the precision with which DNA methylation clock age can be estimated and evolving measures of biological, phenotype-, and disease-related age (e.g., PhenoAge, GrimAge)..”
Exactly why these techniques have at times produced inexplicable results wasn’t examined, though. Two examples:
- In Reversal of aging and immunosenescent trends, Levine PhenoAge methodology estimated that the 51-65 year old subjects’ biological ages at the beginning of the study averaged 17.5 years less than their chronological age. Comparing that to Horvath average biological age of 3.95 years less raised the question: exactly why did PhenoAge show such a large difference?
- The paper mentioned GrimAge methodology findings about “smoking-related changes.” But it didn’t explain why GrimAge methylation findings most closely associated with smoking history also accurately predicted future disease risk with non-smokers.
Eluding explanations for these types of findings didn’t help build confidence in methodologies.
4. A more readable approach to review by committee could have coauthors – in at least one section – answer discussion questions, as Reversing epigenetic T cell exhaustion did with 18 experts.
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1824-y “DNA methylation aging clocks: challenges and recommendations”