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Predicting the probability of death using proteomics

Authors :
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
Source :
Communications Biology, Vol 4, Iss 1, Pp 1-11 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

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.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
23993642
Volume :
4
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Communications Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.1ff49a74495d4c738768f8f340f91c3e
Document Type :
article
Full Text :
https://doi.org/10.1038/s42003-021-02289-6