Communications Biology (Jun 2021)

Predicting the probability of death using proteomics

  • Thjodbjorg Eiriksdottir,
  • Steinthor Ardal,
  • Benedikt A. Jonsson,
  • Sigrun H. Lund,
  • Erna V. Ivarsdottir,
  • Kristjan Norland,
  • Egil Ferkingstad,
  • Hreinn Stefansson,
  • Ingileif Jonsdottir,
  • Hilma Holm,
  • Thorunn Rafnar,
  • Jona Saemundsdottir,
  • Gudmundur L. Norddahl,
  • Gudmundur Thorgeirsson,
  • Daniel F. Gudbjartsson,
  • Patrick Sulem,
  • Unnur Thorsteinsdottir,
  • Kari Stefansson,
  • Magnus O. Ulfarsson

DOI
https://doi.org/10.1038/s42003-021-02289-6
Journal volume & issue
Vol. 4, no. 1
pp. 1 – 11

Abstract

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Eiriksdottir et al. use a temporal proteomic dataset from over 22,000 Icelandic individuals to identify predictors and predict all-cause mortality. Their findings suggest that the plasma proteome may be of value in general health screening for risk of death.