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Getting closer to the clinic

Associations between plasma protein levels and DNA methylation patterns can be used to predict the onset of age-related chronic disease.

Detalles Bibliográficos
Autores principales: Tanaka, Toshiko, Ferrucci, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880989/
https://www.ncbi.nlm.nih.gov/pubmed/35212264
http://dx.doi.org/10.7554/eLife.77180
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author Tanaka, Toshiko
Ferrucci, Luigi
author_facet Tanaka, Toshiko
Ferrucci, Luigi
author_sort Tanaka, Toshiko
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description Associations between plasma protein levels and DNA methylation patterns can be used to predict the onset of age-related chronic disease.
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spelling pubmed-88809892022-02-26 Getting closer to the clinic Tanaka, Toshiko Ferrucci, Luigi eLife Epidemiology and Global Health Associations between plasma protein levels and DNA methylation patterns can be used to predict the onset of age-related chronic disease. eLife Sciences Publications, Ltd 2022-02-25 /pmc/articles/PMC8880989/ /pubmed/35212264 http://dx.doi.org/10.7554/eLife.77180 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication (https://creativecommons.org/publicdomain/zero/1.0/) .
spellingShingle Epidemiology and Global Health
Tanaka, Toshiko
Ferrucci, Luigi
Getting closer to the clinic
title Getting closer to the clinic
title_full Getting closer to the clinic
title_fullStr Getting closer to the clinic
title_full_unstemmed Getting closer to the clinic
title_short Getting closer to the clinic
title_sort getting closer to the clinic
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880989/
https://www.ncbi.nlm.nih.gov/pubmed/35212264
http://dx.doi.org/10.7554/eLife.77180
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