Work

Personal aging markers and ageotypes revealed by deep longitudinal profiling

Year: 2020

Type: article

Study design: Observational Study

Source: Nature Medicine

DOI: 10.1038/s41591-019-0719-5

Authors: Sara Ahadi, Wenyu Zhou, Sophia Miryam Schüssler-Fiorenza Rose, M. Reza Sailani, Kévin Contrepois, Monika Avina, Melanie Ashland, Anne Brunet, Michael Snyder

Institutions: Stanford Medicine, Stanford University

Language: English

Topic: Genetics, Aging, and Longevity in Model Organisms

Subfield: Aging

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Health and Human Services, National Institutes of Health, National Institute on Aging, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Environmental Health Sciences, National Center for Advancing Translational Sciences

Awards: G2698564611, Spectrum Stanford Center for clinical and Translational Research and Education, Stanford Center for Clinical & Translational Education and Research (Spectrum), Longitudinal Multi-Omic Profiles to Reveal Mechanisms of Obesity-Mediated Insulin Resistance, High-throughput sequencer for multi-scale genomic studies, G3685925500, G5341883227, Longitudinal Multiomics Microbial Profiling in Healthy and Disease Individuals, G629857448, G697725734, Integrating the Exposome into Longitudinal Multiomics Profiling, Stanford Diabetes Research Center, Molecular Regulation of Stem Cell Aging

OpenAlex ID: W3000365770

FWCI: 15.19

Cites: 37

Cited by: 430

Related to: 10