Amber L. Mueller

Harvard University - Paul F. Glenn Center for Biology of Aging Research

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Scholarly Papers (1)

1.

TIME-Seq Enables Highly-Efficient Epigenetic Age Predictions in Large-Scale Human and Mouse Longevity Studies

Number of pages: 55 Posted: 15 Mar 2023
Harvard Medical School - Paul F. Glenn Center for Biology of Aging Research, Harvard University - Paul F. Glenn Center for Biology of Aging Research, Harvard University - Division of Genetics, Harvard University - Paul F. Glenn Center for Biology of Aging Research, Harvard University - Paul F. Glenn Center for Biology of Aging Research, Harvard University - Harvard Medical School, Harvard University - Paul F. Glenn Center for Biology of Aging Research, Harvard University - Paul F. Glenn Center for Biology of Aging Research, Yale University - Department of Pathology, Harvard University - Paul F. Glenn Center for Biology of Aging Research, Harvard Medical School - Paul F. Glenn Center for Biology of Aging Research, Harvard University - Paul F. Glenn Center for Biology of Aging Research, ETH Zürich - Department of Health Sciences and Technology, Princeton University, Harvard University - Paul F. Glenn Center for Biology of Aging Research, Harvard University - Paul F. Glenn Center for Biology of Aging Research, Harvard University - Paul F. Glenn Center for Biology of Aging Research, Harvard University - Division of Genetics, Government of the United States of America - Laboratory of Epidemiology and Population Sciences, ETH Zürich - Department of Health Sciences and Technology, Government of the United States of America - Laboratory of Epidemiology and Population Sciences, Harvard Medical School - Genetics Division and Harvard Medical School - Paul F. Glenn Center for Biology of Aging Research
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Abstract:

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Epigenetics, aging, DNA methylation, biomarkers, epigenetic clocks, human research, rapamycin, acarbose, dietary interventions, high-fat diet, caloric restriction