Likewise!

Fair point, one is cheaper, one is generally more predictive. A key point of the work is to find where integrating genetic information might provide additional insight beyond what proteomics can show

And interestingly, ProRS values in the disease population are elevated even a decade before diagnosis! These scores then continue to rise up until diagnosis.

It'll be interesting to see how proteomics will continue to grow to help identify disease states and its application for precision medicine

While proteomic risk scores (ProRS) provide a dynamic look at a person's current health status, polygenic risk scores (PRS) can further stratify individuals by risk across a range of diseases