bioRxiv preprint doi: https://doi.org/10.1101/2021.06.23.449634; this version posted June 24, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Genetic Analyses of Epigenetic Predictors that Estimate Aging, 2 Metabolic Traits, and Lifespan 3 Khyobeni Mozhui 1, 2*, Ake T. Lu3, Caesar Z Li 3, Amin Haghani 4, Jose Vladimir Sandoval-Sierra 1, 4 Robert W. Williams 2, Steve Horvath3, 4 5 6 1 Department of Preventive Medicine, University of Tennessee Health Science Center, College of 7 Medicine, Memphis, Tennessee, USA 8 2 Department of Genetics, Genomics and Informatics, University of Tennessee Health Science 9 Center, College of Medicine, Memphis, Tennessee, USA 10 3 Department of Human Genetics, David Geffen School of Medicine, University of California Los 11 Angeles, Los Angeles, CA, USA 12 4 Department of Biostatistics, Fielding School of Public Health, University of California Los 13 Angeles, Los Angeles, CA, USA 14 15 *Correspondence: 16 Khyobeni Mozhui 17
[email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.06.23.449634; this version posted June 24, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 18 Abstract 19 DNA methylation (DNAm) clocks are accurate molecular biomarkers of aging.