A recent publication in Cell, leading by Prof. Jianfeng Feng, presents a comprehensive atlas of proteome-phenome associations (https://proteome-phenome-atlas.com/Link opens in a new window) by systematically mapping 2,920 plasma proteins to the presence and onset of 720 diseases and 986 health-related traits in 53,026 individuals. This atlas provides insights into shared and characteristic biological mechanisms among diseases. The proteomic profiles, coupled with machine learning, identify useful biomarkers and prediction models for multiple health conditions simultaneously. Through integrating protein quantitative trait locus (pQTL) data, this work also illustrates the use of the atlas for causal protein discovery and further drug target prioritization. The proteome-phenome atlas furnishes an extensive resource supporting future research in screening, diagnosis, and treatment of human diseases and advancing precision medicine.

See here https://statsupai.org/quarto_web/site/posts/S11_interview.html for a more detailed discussion on the article.