omicscience

Huge thanks to @Julia_Czs @pietznerm @BurulcaU @KopruluMine @KastenmullerLab @Julian_H0ffmann and many others! @QMULBartsTheLon @MRC_Epid @berlinnovation

We enable the community to query and visualise our results interactively through our webserver: omicscience.org/apps/protdeter…

🚨🚨New paper alert 🚨🚨 nature.com/articles/s4225… rdcu.be/dVak3

Want to get a summary of our paper and of the implications of our research? Check out our research briefing at @NatureMedicine nature.com/articles/s4159…

Amazing industry-academia collaboration with @Julia_Czs @pietznerm @jonathandavitte @profhhemingway @robert_a_scott and many others @GSK @QMULBartsTheLon @UCL_IHI @MRC_epid @Cambridge_Uni

We make our results available through our webserver (omicscience.org/apps/protpred/) to visualise the potential benefit of #proteomic screening in a Bayesian framework.

Precision medicine requires finding people at a high risk of disease. We used >3,000 proteins to develop sparse models for prediction of future risk of 218 diseases using #EHRs and #MachineLearning in @uk_biobank. nature.com/articles/s4159… rdcu.be/dOxQQ

We are so honoured for this recognition of our science. Go team!

Amazing collaboration with @SpirosDenaxas @pietznerm @_MatthiasArnold @KastenmullerLab @berlinnovation @QMULBartsTheLon @UCL_IHI

However, known risk loci for #COVID_19 seem to behave oddly, ie., not always agree in direction of effect on highly related disease. TYK2 challenges the popular genetically informed repurposing story of baricitinib (JAK-target); points to *adverse* effects of TYK2 inhibitors

People with multiple diseases are prone to severe #Covid_19 and #LongCovid but which ones are most important and who did we miss? We gathered >1,400 diseases in @uk_biobank using #EHRs to find out and triangulate with #Genetics nature.com/articles/s4385…