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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Bibliographic Details
Published in:	Nature communications Vol. 10; no. 1; pp. 3346 - 8
Main Authors:	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
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 20.08.2019 Nature Publishing Group Nature Portfolio
Subjects:	101/6 631/1647/320 692/53/2423 Adolescent Adult Aged Aged, 80 and over Biomarkers Biomarkers - blood Female Follow-Up Studies Health risk assessment Health risks Humanities and Social Sciences Humans Male Men Metabolism Metabolome Metabolomics Metabolomics - methods Middle Aged Mortality Mortality risk multidisciplinary Observational studies Predictions Prognosis Risk analysis Risk Assessment Risk Factors Science Science (multidisciplinary) Survival Analysis Young Adult
ISSN:	2041-1723, 2041-1723
Online Access:	Get full text
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