Proteomic signatures improve risk prediction for common and rare diseases

Julia Carrasco-Zanini, Maik Pietzner, Jonathan Davitte, Praveen Surendran, Damien C. Croteau-Chonka, Chloe Robins, Ana Torralbo, Chris Tomlinson, Florian Grünschläger, Natalie Fitzpatrick, Cai Ytsma, Tokuwa Kanno, Stephan Gade, Daniel Freitag, Frederik Ziebell, Simon Haas, Spiros Denaxas, Joanna C. Betts, Nicholas J. Wareham, Harry Hemingway, Robert A. Scott, Claudia Langenberg
July 2024
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Nature Medicine
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Nature Medicine Research Briefing

Blood proteins predict the risk of many diseases years before onset. Nat Med (2024). https://doi.org/10.1038/s41591-024-03145-w

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UK Biobank Proteomics Omics phenomics Genomics UCL-GSK Phenomics Hub Risk prediction Machine Learning Industry collaboration GSK UK Biobank Pharma Proteomics Project Drug discovery
Chris Tomlinson
Chris Tomlinson

MBBS BSc MRes DMCC MRCA

UK Health Data & AI Lead

Honorary Senior Research Fellow in Clinical Foundation Models

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