Large-scale proteomics study can refine our understanding of health and disease and enable precision medicine, e.g., disease mechanisms, biomarkers, and therapeutic targets. This website is a public repository of protein-phenotype associations, providing full results of the phenotypic and genomic associations between ~3,000 plasma proteins and ~1,000 health-related phenotypes for ~50,000 adults in the UK Biobank. These data were generated using the phenotype data from the UK Biobank accessed as part of application 19542.

Diseases were pre-defined by the  FinnGen study^[1]  using ICD-10 codes, strictly adhering to FinnGen‘s quality control guidelines. To ensure robust analysis, we only included diseases with a minimum of 100 cases after merging participants who had accessible proteomic data. This resulted in a total of 660 incident diseases and 406 prevalent diseases available for analysis. Disease data records were last updated in November 2023, resulting in a median follow-up period of 14.8 years for all participants. In addition, health-related traits, such as blood indices, anthropomorphic measures and lifestyle factors, were transformed into three formats, including continuous variables, binary variables and ordered categorical variables.

You can conveniently download the disease and traits information for an overview here.

Detailed information regarding the data source and analytical methods utilized can be located in the corresponding publication. Kindly cite the paper should you choose to employ any findings from this website.

Deng Y. et al. Atlas of plasma proteome in health and disease in 53,026 adults.