A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals

Predicting longer-term mortality risk requires collection of clinical data, which is often cumbersome. Therefore, we use a well-standardized metabolomics platform to identify metabolic predictors of long-term mortality in the circulation of 44,168 individuals (age at baseline 18–109), of whom 5512 d...

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Detalles Bibliográficos
Autores principales: Deelen, Joris, Kettunen, Johannes, Fischer, Krista, van der Spek, Ashley, Trompet, Stella, Kastenmüller, Gabi, Boyd, Andy, Zierer, Jonas, van den Akker, Erik B., Ala-Korpela, Mika, Amin, Najaf, Demirkan, Ayse, Ghanbari, Mohsen, van Heemst, Diana, Ikram, M. Arfan, van Klinken, Jan Bert, Mooijaart, Simon P., Peters, Annette, Salomaa, Veikko, Sattar, Naveed, Spector, Tim D., Tiemeier, Henning, Verhoeven, Aswin, Waldenberger, Melanie, Würtz, Peter, Davey Smith, George, Metspalu, Andres, Perola, Markus, Menni, Cristina, Geleijnse, Johanna M., Drenos, Fotios, Beekman, Marian, Jukema, J. Wouter, van Duijn, Cornelia M., Slagboom, P. Eline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702196/
https://www.ncbi.nlm.nih.gov/pubmed/31431621
http://dx.doi.org/10.1038/s41467-019-11311-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702196/
https://www.ncbi.nlm.nih.gov/pubmed/31431621
http://dx.doi.org/10.1038/s41467-019-11311-9

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