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Blood protein assessment of leading incident diseases and mortality in the UK Biobank.

Authors :
Gadd DA
Hillary RF
Kuncheva Z
Mangelis T
Cheng Y
Dissanayake M
Admanit R
Gagnon J
Lin T
Ferber KL
Runz H
Foley CN
Marioni RE
Sun BB
Source :
Nature aging [Nat Aging] 2024 Jul; Vol. 4 (7), pp. 939-948. Date of Electronic Publication: 2024 Jul 10.
Publication Year :
2024

Abstract

The circulating proteome offers insights into the biological pathways that underlie disease. Here, we test relationships between 1,468 Olink protein levels and the incidence of 23 age-related diseases and mortality in the UK Biobank (nā€‰=ā€‰47,600). We report 3,209 associations between 963 protein levels and 21 incident outcomes. Next, protein-based scores (ProteinScores) are developed using penalized Cox regression. When applied to test sets, six ProteinScores improve the area under the curve estimates for the 10-year onset of incident outcomes beyond age, sex and a comprehensive set of 24 lifestyle factors, clinically relevant biomarkers and physical measures. Furthermore, the ProteinScore for type 2 diabetes outperforms a polygenic risk score and HbA1c-a clinical marker used to monitor and diagnose type 2 diabetes. The performance of scores using metabolomic and proteomic features is also compared. These data characterize early proteomic contributions to major age-related diseases, demonstrating the value of the plasma proteome for risk stratification.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2662-8465
Volume :
4
Issue :
7
Database :
MEDLINE
Journal :
Nature aging
Publication Type :
Academic Journal
Accession number :
38987645
Full Text :
https://doi.org/10.1038/s43587-024-00655-7