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.

Guardado en:

Detalles Bibliográficos
Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/1ff49a74495d4c738768f8f340f91c3e
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1ff49a74495d4c738768f8f340f91c3e
record_format	dspace
spelling	oai:doaj.org-article:1ff49a74495d4c738768f8f340f91c3e2021-12-02T17:23:26ZPredicting the probability of death using proteomics10.1038/s42003-021-02289-62399-3642https://doaj.org/article/1ff49a74495d4c738768f8f340f91c3e2021-06-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02289-6https://doaj.org/toc/2399-3642Eiriksdottir 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.Thjodbjorg EiriksdottirSteinthor ArdalBenedikt A. JonssonSigrun H. LundErna V. IvarsdottirKristjan NorlandEgil FerkingstadHreinn StefanssonIngileif JonsdottirHilma HolmThorunn RafnarJona SaemundsdottirGudmundur L. NorddahlGudmundur ThorgeirssonDaniel F. GudbjartssonPatrick SulemUnnur ThorsteinsdottirKari StefanssonMagnus O. UlfarssonNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 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
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.
format	article
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
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 Portfolio
publishDate	2021
url	https://doaj.org/article/1ff49a74495d4c738768f8f340f91c3e
work_keys_str_mv	AT thjodbjorgeiriksdottir predictingtheprobabilityofdeathusingproteomics AT steinthorardal predictingtheprobabilityofdeathusingproteomics AT benediktajonsson predictingtheprobabilityofdeathusingproteomics AT sigrunhlund predictingtheprobabilityofdeathusingproteomics AT ernavivarsdottir predictingtheprobabilityofdeathusingproteomics AT kristjannorland predictingtheprobabilityofdeathusingproteomics AT egilferkingstad predictingtheprobabilityofdeathusingproteomics AT hreinnstefansson predictingtheprobabilityofdeathusingproteomics AT ingileifjonsdottir predictingtheprobabilityofdeathusingproteomics AT hilmaholm predictingtheprobabilityofdeathusingproteomics AT thorunnrafnar predictingtheprobabilityofdeathusingproteomics AT jonasaemundsdottir predictingtheprobabilityofdeathusingproteomics AT gudmundurlnorddahl predictingtheprobabilityofdeathusingproteomics AT gudmundurthorgeirsson predictingtheprobabilityofdeathusingproteomics AT danielfgudbjartsson predictingtheprobabilityofdeathusingproteomics AT patricksulem predictingtheprobabilityofdeathusingproteomics AT unnurthorsteinsdottir predictingtheprobabilityofdeathusingproteomics AT karistefansson predictingtheprobabilityofdeathusingproteomics AT magnusoulfarsson predictingtheprobabilityofdeathusingproteomics
_version_	1718380956684910592

Predicting the probability of death using proteomics

Ejemplares similares