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Predicting physiological aging rates from a range of quantitative traits using machine learning.
Sun, Eric D; Qian, Yong; Oppong, Richard; Butler, Thomas J; Zhao, Jesse; Chen, Brian H; Tanaka, Toshiko; Kang, Jian; Sidore, Carlo; Cucca, Francesco; Bandinelli, Stefania; Abecasis, Gonçalo R; Gorospe, Myriam; Ferrucci, Luigi; Schlessinger, David; Goldberg, Ilya; Ding, Jun.
Affiliation
  • Sun ED; Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
  • Qian Y; Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
  • Oppong R; Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
  • Butler TJ; Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
  • Zhao J; Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
  • Chen BH; Department of Epidemiology, The Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA 92093, USA.
  • Tanaka T; Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
  • Kang J; Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
  • Sidore C; Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Italy.
  • Cucca F; Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Italy.
  • Bandinelli S; Geriatric Unit, Azienda Sanitaria di Firenze, Florence, Italy.
  • Abecasis GR; Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
  • Gorospe M; Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, MD 21224, USA.
  • Ferrucci L; Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
  • Schlessinger D; Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, MD 21224, USA.
  • Goldberg I; ViQi, Inc., Santa Barbara, CA 93111, USA.
  • Ding J; Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
Aging (Albany NY) ; 13(20): 23471-23516, 2021 10 29.
Article in En | MEDLINE | ID: mdl-34718232
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aging / Genome-Wide Association Study / Machine Learning / Models, Biological Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Aging (Albany NY) Journal subject: GERIATRIA Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aging / Genome-Wide Association Study / Machine Learning / Models, Biological Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Aging (Albany NY) Journal subject: GERIATRIA Year: 2021 Document type: Article Affiliation country: Country of publication: