Publication: Universal DNA methylation age across mammalian tissues
Universal DNA methylation age across mammalian tissues
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Lu, A. T., Fei, Z., Haghani, A., Robeck, T. R., Zoller, J. A., Li, C. Z., Lowe, R., Yan, Q., Zhang, J., Vu, H., Ablaeva, J., Acosta-Rodriguez, V. A., Adams, D. M., Almunia, J., Aloysius, A., Ardehali, R., Arneson, A., Baker, C. S., Banks, G., … Krützen, M. (2023). Universal DNA methylation age across mammalian tissues. Nature Aging, 3(9), 1144–1166. https://doi.org/10.1038/s43587-023-00462-6
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Aging, often considered a result of random cellular damage, can be accurately estimated using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we demonstrate the development of universal pan-mammalian clocks, using 11,754 methylation arrays from our Mammalian Methylation Consortium, which encompass 59 tissue types across 185 mammalian species. These predictive models estimate mammalian tissue age with high accuracy (r > 0.96). Age deviations correlate with human mortality risk, mouse somatotropic axis mu
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- Lu, A T
- Fei, Z
- Haghani, A
- Robeck, T R
- Zoller, J A
- Li, C Z
- Lowe, R
- Yan, Q
- Zhang, J
- Vu, H
- Ablaeva, J
- Acosta-Rodriguez, V A
- Adams, D M
- Almunia, J
- Aloysius, A
- Ardehali, R
- Arneson, A
- Baker, C S
- Banks, G
- Belov, K
- Bennett, N C
- Black, P
- Blumstein, D T
- Bors, E K
- Breeze, C E
- Brooke, R T
- Brown, J L
- Carter, G G
- Caulton, A
- Cavin, J M
- Krützen, Michael
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Lu, A. T., Fei, Z., Haghani, A., Robeck, T. R., Zoller, J. A., Li, C. Z., Lowe, R., Yan, Q., Zhang, J., Vu, H., Ablaeva, J., Acosta-Rodriguez, V. A., Adams, D. M., Almunia, J., Aloysius, A., Ardehali, R., Arneson, A., Baker, C. S., Banks, G., … Krützen, M. (2023). Universal DNA methylation age across mammalian tissues. Nature Aging, 3(9), 1144–1166. https://doi.org/10.1038/s43587-023-00462-6
