omicscience

Team Science. No Borders. Bring It On.

[omicscience @omicscience]

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

@QMULBartsTheLon @MRC_Epid @berlinnovation

[omicscience @omicscience]

🚨🚨New paper alert 🚨🚨

https://t.co/FhzB0ehCuU

https://t.co/A4zGRHLT8M

[omicscience @omicscience]

We enable the community to query and visualise our results interactively through our webserver: https://t.co/BeXMlfkiyU

[omicscience @omicscience]

Want to get a summary of our paper and of the implications of our research? Check out our research briefing at @NatureMedicine
https://t.co/GJf6VMOtcu

[omicscience @omicscience]

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.

https://t.co/N4QDqgUWwp

https://t.co/YmBnZAENsO

[omicscience @omicscience]

Amazing industry-academia collaboration with @Julia_Czs @pietznerm @jonathandavitte @profhhemingway @robert_a_scott and many others

@GSK @QMULBartsTheLon @UCL_IHI @MRC_epid @Cambridge_Uni

[omicscience @omicscience]

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.

https://t.co/N4QDqgUWwp

https://t.co/YmBnZAENsO

[omicscience @omicscience]

We make our results available through our webserver (https://t.co/qKjK9jhJ6q) to visualise the potential benefit of #proteomic screening in a Bayesian framework.

[EMBO @EMBO]

Outstanding scientists elected to EMBO Membership: in EMBO’s 60th anniversary year, 100 new members and 20 associate members join the community

https://t.co/eHCoXY0ynR

[omicscience @omicscience]

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

[EMBO @EMBO]

Outstanding scientists elected to EMBO Membership: in EMBO’s 60th anniversary year, 100 new members and 20 associate members join the community

https://t.co/eHCoXY0ynR

[omicscience @omicscience]

Amazing collaboration with @SpirosDenaxas @pietznerm @_MatthiasArnold @KastenmullerLab

@berlinnovation @QMULBartsTheLon
@UCL_IHI

[omicscience @omicscience]

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

https://t.co/uKHqxpRFQt

[omicscience @omicscience]

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