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.

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:	English
Published:	Nature Publishing Group 2021-06-01
Series:	Communications Biology
Online Access:	https://doi.org/10.1038/s42003-021-02289-6

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spelling	doaj-1ff49a74495d4c738768f8f340f91c3e2021-06-20T11:27:53ZengNature Publishing GroupCommunications Biology2399-36422021-06-014111110.1038/s42003-021-02289-6Predicting the probability of death using proteomicsThjodbjorg Eiriksdottir0Steinthor Ardal1Benedikt A. Jonsson2Sigrun H. Lund3Erna V. Ivarsdottir4Kristjan Norland5Egil Ferkingstad6Hreinn Stefansson7Ingileif Jonsdottir8Hilma Holm9Thorunn Rafnar10Jona Saemundsdottir11Gudmundur L. Norddahl12Gudmundur Thorgeirsson13Daniel F. Gudbjartsson14Patrick Sulem15Unnur Thorsteinsdottir16Kari Stefansson17Magnus O. Ulfarsson18deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.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.https://doi.org/10.1038/s42003-021-02289-6
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	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
spellingShingle	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 Predicting the probability of death using proteomics Communications Biology
author_facet	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
author_sort	Thjodbjorg Eiriksdottir
title	Predicting the probability of death using proteomics
title_short	Predicting the probability of death using proteomics
title_full	Predicting the probability of death using proteomics
title_fullStr	Predicting the probability of death using proteomics
title_full_unstemmed	Predicting the probability of death using proteomics
title_sort	predicting the probability of death using proteomics
publisher	Nature Publishing Group
series	Communications Biology
issn	2399-3642
publishDate	2021-06-01
description	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.
url	https://doi.org/10.1038/s42003-021-02289-6
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Predicting the probability of death using proteomics

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