Ontology highlight
ABSTRACT:
SUBMITTER: Deelen J
PROVIDER: S-EPMC6702196 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature
Deelen Joris J Kettunen Johannes J Fischer Krista K van der Spek Ashley A Trompet Stella S Kastenmüller Gabi G Boyd Andy A Zierer Jonas J van den Akker Erik B EB Ala-Korpela Mika M Amin Najaf N Demirkan Ayse A Ghanbari Mohsen M van Heemst Diana D Ikram M Arfan MA van Klinken Jan Bert JB Mooijaart Simon P SP Peters Annette A Salomaa Veikko V Sattar Naveed N Spector Tim D TD Tiemeier Henning H Verhoeven Aswin A Waldenberger Melanie M Würtz Peter P Davey Smith George G Metspalu Andres A Perola Markus M Menni Cristina C Geleijnse Johanna M JM Drenos Fotios F Beekman Marian M Jukema J Wouter JW van Duijn Cornelia M CM Slagboom P Eline PE
Nature communications 20190820 1
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 died during follow-up. We apply a stepwise (forward-backward) procedure based on meta-analysis results and identify 14 circulating biomarkers independently associating with all-cause mortality. Overall ...[more]