Large-Scale Proteomics Improve Risk Prediction for Type 2 Diabetes
The Olink Explore-based 15-protein model enhanced the CDRS model performance most, and this promising prediction model should be externally validated. Our successful external validation of the Olink Inflammation panel-based six-protein model shows that this is a promising endeavor.
Authors
- Ben Schöttker (ORCID: https://orcid.org/0000-0002-1217-4521)
- Kira Trares (ORCID: https://orcid.org/0000-0002-1775-3231)
- Bernd Holleczek (ORCID: https://orcid.org/0000-0001-8759-4371)
- Tomislav Vlaški (ORCID: https://orcid.org/0000-0002-1128-1288)
- Ruijie Xie (ORCID: https://orcid.org/0000-0002-1635-962X)
- Hermann Brenner (ORCID: https://orcid.org/0000-0002-6129-1572)
- Christian Herder (ORCID: https://orcid.org/0000-0002-2050-093X)
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- Düsseldorf University Hospital (DE)
- Krebsregister Saarland (DE)
- Deutsches Diabetes-Zentrum e.V. (DE)
- German Center for Diabetes Research (DE)
- Heinrich Heine University Düsseldorf (DE)
Publication Details
- Journal
- Diabetes Care
- Published
- 2025-04-03
- DOI
- https://doi.org/10.2337/dc24-2478
- Citations
- 12
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 21.81
Funders
- Bundesministerium für Bildung und Forschung
- Bundesministerium für Gesundheit
- Ministerium für Soziales, Gesundheit, Frauen und Familie, Saarland