pietznerm.bsky.social
Professor for Health Data Modelling @Charité and @PHURI | Making better medicines | Daddy of three | Views are my own
8 posts
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Much appreciated, Vadim!
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We finally bring it all together in a knowledge graph, to demonstrate which proteins are good indicators of drug treatment.
Explore here omicscience.org/apps/prot_fo...
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We bring this resources directly to your study via enrichment analysis, demonstrating hidden insights and residual confounding among published studies.
github.com/comp-med/r-p...
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We demonstrate how this knowledge can guide biomarker identification, reducing candidate lists by almost 40-fold.
This included disease-specific findings like a >2.5-fold increased risk for abdominal aortic aneurysm associated with plasma levels of MMP12.
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Not all people are the same, any many factors explaining variance differ across the sexes, but also genetically-inferred ancestry.
Some genetic variants much more important in people of Non-European ancestry.
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We demonstrate that some of the variation can be traced back to specific tissues and cell-types, including #Fibroblasts as so far under-appreciated contributing cell-type.
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We identify different axes along proteins vary, incorporating >1.7k variables.
We explain >25% of variation for >50% of proteins.
Modifiable factors explained >> non-modifiable factors -> proteins are great as dynamic read out