RETRACTED ARTICLE: Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats

1. These authors contributed equally: Jakob Steinfeldt, Benjamin Wild, Thore Buergel.

2. These authors jointly supervised this work: Ulf Landmesser, John Deanfield, Roland Eils.

Authors and Affiliations

1. Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany

   Jakob Steinfeldt & Ulf Landmesser

2. Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Klinik/Centrum, Charitéplatz 1, 10117, Berlin, Germany

   Jakob Steinfeldt & Ulf Landmesser

3. Computational Medicine, Berlin Institute of Health (BIH), Charite - University Medicine Berlin, Berlin, Germany

   Jakob Steinfeldt, Maik Pietzner & Claudia Langenberg

4. Friede Springer Cardiovascular Prevention Center@Charite, Charite - University Medicine Berlin, Berlin, Germany

   Jakob Steinfeldt & Ulf Landmesser

5. Institute of Cardiovascular Sciences, University College London, London, UK

   Jakob Steinfeldt, Thore Buergel & John Deanfield

6. Center for Digital Health, Berlin Institute of Health (BIH), Charite - University Medicine Berlin, Berlin, Germany

   Benjamin Wild, Thore Buergel, Julius Upmeier zu Belzen & Roland Eils

7. MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK

   Maik Pietzner & Claudia Langenberg

8. Precision Health University Research Institute, Queen Mary University of London and Barts NHS Trust, London, UK

   Maik Pietzner & Claudia Langenberg

9. Institute of Health Informatics, University College London, London, UK

   Andre Vauvelle, Spiros Denaxas & Harry Hemingway

10. Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Massachusetts, USA

    Stefan Hegselmann

11. Pattern Recognition and Image Analysis Lab, University of Münster, Münster, Germany

    Stefan Hegselmann

12. British Heart Foundation Data Science Centre, London, UK

    Spiros Denaxas

13. Health Data Research UK, London, UK

    Spiros Denaxas & Harry Hemingway

14. National Institute for Health Research, Biomedical Research Centre at University College London Hospitals National Institute for Health Research, Biomedical Research Centre, London, UK

    Spiros Denaxas & Harry Hemingway

15. Berlin Institute of Health (BIH), Charite - University Medicine Berlin, Berlin, Germany

    Ulf Landmesser

16. DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Berlin, Germany

    Ulf Landmesser

17. Health Data Science Unit, Heidelberg University Hospital and BioQuant, Heidelberg, Germany

    Roland Eils

Corresponding author

Correspondence to Roland Eils.

The authors have retracted this article at the request of the UK Biobank. They had used patient data from the UK Biobank study to assess risk stratification in a range of diseases; however, according to the Control of Patient Information (COPI) notice, primary care data had only been made available for research directly related to COVID-19. Therefore, this article has been retracted and the content removed. All authors agree with this retraction. A revised article [1] reports the analyses with all patient data removed that should not be used according to the Control of Patient Information (COPI) notice. It has undergone peer review independently from the original article’s review process and has been published. REFERENCES 1. Steinfeldt, J., Wild, B., Buergel, T. et al. Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats. Nat Commun 16, 585 https://doi.org/10.1038/s41467-025-55879-x (2025).

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