Predicting the probability of death using proteomics

Predicting the probability of death using proteomics

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.

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Bibliographic Details
Main 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
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Biology (General)
QH301-705.5
Online Access:https://doaj.org/article/1ff49a74495d4c738768f8f340f91c3e
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Internet

https://doaj.org/article/1ff49a74495d4c738768f8f340f91c3e

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