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Blood protein assessment of leading incident diseases and mortality in the UK Biobank
Danni A Gadd1,2, Robert F Hillary1,2, Zhana Kuncheva1,3
1Optima Partners, Edinburgh, UK.
Insights
This study analyzed 1,468 Olink proteins in UK Biobank participants to identify associations with age-related diseases and mortality. ProteinScores showed promise in predicting disease onset, outperforming existing risk predictors for type 2 diabetes.
Area of Science:
- Biochemistry and Molecular Biology
- Genomics and Proteomics
- Epidemiology and Public Health
Background:
- The circulating proteome provides valuable insights into disease mechanisms.
- Understanding proteomic contributions to age-related diseases is crucial for early detection and prevention.
Purpose of the Study:
- To investigate associations between plasma protein levels and the incidence of 23 age-related diseases and mortality.
- To develop and validate protein-based risk scores (ProteinScores) for predicting disease onset.
- To compare the predictive performance of ProteinScores against established risk assessment tools.
Main Methods:
- Analysis of 1,468 Olink protein levels in 47,600 UK Biobank participants.
- Statistical association testing between protein levels and 21 incident age-related outcomes.
- Development of ProteinScores using penalized Cox regression models.
- Validation of ProteinScores in independent test sets and comparison with polygenic risk scores and clinical markers.
Main Results:
- Identified 3,209 significant associations between 963 protein levels and 21 incident outcomes.
- Six ProteinScores demonstrated improved prediction of 10-year disease onset beyond traditional risk factors.
- The ProteinScore for type 2 diabetes outperformed both polygenic risk scores and HbA1c levels.
Conclusions:
- Plasma proteomic profiling reveals early contributions to major age-related diseases.
- ProteinScores offer a novel and effective tool for enhancing disease risk stratification.
- The findings underscore the potential of the proteome in personalized medicine and disease prevention strategies.
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 (n = 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.
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