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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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 |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/1ff49a74495d4c738768f8f340f91c3e |
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