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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Vydáno v:	Nature communications Ročník 10; číslo 1; s. 3346 - 8
Hlavní autoři:	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
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 20.08.2019 Nature Publishing Group Nature Portfolio
Témata:	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
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