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Multiomic clocks to predict phenotypic age in mice.

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Bibliographic Details
Title: Multiomic clocks to predict phenotypic age in mice.
Authors: Vera DL; VoLo Foundation, Palm Beach, Florida, United States.; Voloridge Health, Jupiter, Florida, United States., Griffin PT; Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts, United States., Leigh D; Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts, United States., Kras J; VoLo Foundation, Palm Beach, Florida, United States.; Voloridge Health, Jupiter, Florida, United States., Ramos E; VoLo Foundation, Palm Beach, Florida, United States., Bishof I; VoLo Foundation, Palm Beach, Florida, United States., Butler A; VoLo Foundation, Palm Beach, Florida, United States., Chwalek K; VoLo Foundation, Palm Beach, Florida, United States.; Voloridge Health, Jupiter, Florida, United States., Vogel DS; VoLo Foundation, Palm Beach, Florida, United States.; Voloridge Health, Jupiter, Florida, United States., Kane AE; Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts, United States.; Institute for Systems Biology, Seattle, Washington, United States.; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States., Sinclair DA; Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts, United States.
Source: The journals of gerontology. Series A, Biological sciences and medical sciences [J Gerontol A Biol Sci Med Sci] 2025 Oct 05; Vol. 80 (11).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: published on behalf of the Gerontological Society of America by Oxford University Press Country of Publication: United States NLM ID: 9502837 Publication Model: Print Cited Medium: Internet ISSN: 1758-535X (Electronic) Linking ISSN: 10795006 NLM ISO Abbreviation: J Gerontol A Biol Sci Med Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1758-535X
DOI:10.1093/gerona/glaf188